CHANGELOG.md · 骑士救兵/plotly-py

# Change Log
All notable changes to this project will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [4.15.0] - UNRELEASED

### Added

### Fixed

### Updated

## [4.14.2] - UNRELEASED

### Added

### Fixed

### Updated

## [4.14.1] - 2020-12-09

### Updated

- Updated Plotly.js to version 1.58.2. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.58.0/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include:
  - fixes for new `ticklabelposition` attribute
  - fixes for a regression related to treemaps in the previous version

## [4.14.0] - 2020-12-07

### Added

- `px.imshow` now supports `facet_col` and `animation_frame` arguments for visualizing 3-d and 4-d images [2746](https://github.com/plotly/plotly.py/pull/2746)
- `px.defaults` now supports `color_discrete_map`, `symbol_map`, `line_dash_map`, `labels` and `category_orders` as well as a `.reset()` method [2957](https://github.com/plotly/plotly.py/pull/2957)

### Fixed

- axes will now auto-type numeric strings as categorical data rather than linear in the default templates [2951](https://github.com/plotly/plotly.py/pull/2951)

### Updated

- Updated Plotly.js to version 1.58.1. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.58.0/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include:
  - a new `ticklabelposition` attribute to enable positioning tick labels inside the plotting area
  - better support for `scaleanchor` and `matches` on cartesian axes for matched square subplots
  - a new `autotypenumbers` attribute which is now set to `strict` in the default templates
  - various fixes relating to `automargins` for small figures

## [4.13.0] - 2020-11-23

### Added
- `px.choropleth`, `px.scatter_geo` and `px.line_geo` now support faceting as well as `fitbounds` and `basemap_visible` [2923](https://github.com/plotly/plotly.py/pull/2923)
- `px.scatter_geo` and `px.line_geo` now support `geojson`/`featureidkey` input [2923](https://github.com/plotly/plotly.py/pull/2923)
- `px.scatter_geo` now supports `symbol` [2923](https://github.com/plotly/plotly.py/pull/2923)
- `go.Figure` now has a `set_subplots` method to set subplots on an already
  existing figure. [2866](https://github.com/plotly/plotly.py/pull/2866)
- Added `Turbo` colorscale and fancier swatch display functions
  [2882](https://github.com/plotly/plotly.py/pull/2882)
- A utility function `image_array_to_data_uri` has been added in
  `plotly.utils`, in order to transform NumPy arrays to data b64 URIs (which
  can be passed to the source parameter of `go.Image`, or to layout images).
  [2879](https://github.com/plotly/plotly.py/pull/2879)
- the `selector` argument to updater/selector functions now accepts `int`s and `str`s
  [2894](https://github.com/plotly/plotly.py/pull/2894)

### Updated

- the JSON serialization of plotly figures has been accelerated thanks to a
  different handling of Infinity and NaN values. For example, a figure with a
  1000x1000 Heatmap should now serialize 2x faster. [2880](https://github.com/plotly/plotly.py/pull/2880)
- Coding mistakes with "magic underscores" now return significantly more ergonomic error
  messages [2843](https://github.com/plotly/plotly.py/pull/2843)
- Error messages related to impossible subplot geometries are now much more helpful
  [2897](https://github.com/plotly/plotly.py/pull/2897)

### Fixed

- `px.scatter_geo` support for `text` is fixed [2923](https://github.com/plotly/plotly.py/pull/2923)
- the `x` and `y` parameters of `px.imshow` are now used also in the case where
  an Image trace is used (for RGB data or with `binary_string=True`). However,
  only numerical values are accepted (while the Heatmap trace allows date or
  string values for `x` and `y`). [2761](https://github.com/plotly/plotly.py/pull/2761)

## [4.12.0] - 2020-10-23

### Added

- For `add_trace`, `add_shape`, `add_annotation` and `add_layout_image`, the `row` and/or `col` argument now also accept the string `"all"`. `row="all"` adds the object to all the subplot rows and `col="all"` adds the object to all the subplot columns. ([#2840](https://github.com/plotly/plotly.py/pull/2840))
- Shapes that reference the plot axes in one dimension and the data in another dimension can be added with the new `add_hline`, `add_vline`, `add_hrect`, `add_vrect` functions, which also support the `row="all"` and `col="all"` arguments. ([#2840](https://github.com/plotly/plotly.py/pull/2840))
- The `add_trace`, `add_shape`, `add_annotation`, `add_layout_image`, `add_hline`, `add_vline`, `add_hrect`, `add_vrect` functions accept an argument `exclude_empty_subplots` which if `True`, only adds the object to subplots already containing traces or layout objects. This is useful in conjunction with the `row="all"` and `col="all"` arguments. ([#2840](https://github.com/plotly/plotly.py/pull/2840))
- For all `go.Figure` functions accepting a selector argument (e.g., `select_traces`), this argument can now also be a function which is passed each relevant graph object (in the case of `select_traces`, it is passed every trace in the figure). For graph objects where this function returns true, the graph object is included in the selection. ([#2844](https://github.com/plotly/plotly.py/pull/2844))

### Added

- Better magic underscore error messages. For example, `some_fig.update_layout(geo_ltaxis_showgrid=True)` shows `Bad property path:\ngeo_ltaxis_showgrid\n   ^` and lists the valid properties for `geo`.

### Updated

- Updated Plotly.js to version 1.57.1. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.57.1/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module.

## [4.11.0] - 2020-10-01

### Updated

- Updated Plotly.js to version 1.56.0. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.56.0/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module.

## [4.10.0] - 2020-09-10

### Added

- Added `plotly.io.full_figure_for_development()` and `plotly.graph_objects.Figure.full_figure_for_development()` ([#2737](https://github.com/plotly/plotly.py/pull/2737))

### Updated

- The JSON serialization of plotly figures had been accelerated by handling
  differently figures with and without NaN and Inf values ([#2880](https://github.com/plotly/plotly.py/pull/2880)).

### Updated

- Updated Plotly.js to version 1.55.2. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.55.2/CHANGELOG.md) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module.
- `px.imshow` has a new `binary_string` boolean argument, which passes the
  image data as a b64 binary string when True. Using binary strings allow for
  faster image rendering and smaller figure size. Additional optional arguments
  `binary_backend`, `binary_format` and `binary_compression_level` control
  how to generate the b64 string ([#2691](https://github.com/plotly/plotly.py/pull/2691)
- `px.imshow` has a new `constrast_rescaling` argument in order to choose how
  to set data values corresponding to the bounds of the color range
  ([#2691](https://github.com/plotly/plotly.py/pull/2691)

### Fixed

- Plotly Express no longer converts datetime columns of input dataframes to UTC ([#2749](https://github.com/plotly/plotly.py/pull/2749))
- Plotly Express has more complete support for datetimes as additional `hover_data` ([#2749](https://github.com/plotly/plotly.py/pull/2749))
- Histogram selection behaviour with `FigureWidget` ([#2711](https://github.com/plotly/plotly.py/pull/2711)) with thanks to [@meffmadd](https://github.com/meffmadd)
- Behaviour of `full_html()` with `html=False` ([#2469](https://github.com/plotly/plotly.py/pull/2469)) with thanks to [@tallamjr](https://github.com/tallamjr)
- `ff.distplot()` now only computes traces that will be shown ([#2730](https://github.com/plotly/plotly.py/pull/2730)) with thanks to [@akbo](https://github.com/akbo)
- Pandas backend `.hist()` works with latest version of Pandas ([#2713](https://github.com/plotly/plotly.py/pull/2713)) with thanks to [@Kerybas](https://github.com/Kerybas)

## [4.9.0] - 2020-07-16

### Added

- Added image export support using [Kaleido](https://github.com/plotly/Kaleido). The image export backend can be configured using the new `engine` argument to `plotly.io.to_image` and `plotly.io.write_image`. The `engine` argument may be set to `"kaleido"`, `"orca"`, or `"auto"`. The default is `engine="auto"`, in which case the Kaleido backend is enabled if the `kaleido` package from PyPI is installed, otherwise Orca is used. ([#2613](https://github.com/plotly/plotly.py/pull/2613)).
- `plotly.express.timeline()` added as an official alternative to `plotly.figure_factories.create_gantt()` ([#2626](https://github.com/plotly/plotly.py/pull/2626))
- `create_hexbin_mapbox()` added to Figure Factories, with thanks to [@RenaudLN](https://github.com/RenaudLN) for the impressive contribution!
- `facet_row_spacing` and `facet_col_spacing` added to Plotly Express cartesian 2d functions ([#2614](https://github.com/plotly/plotly.py/pull/2614))
- `base` added to Plotly Express `bar` and `bar_polar` functions ([#2626](https://github.com/plotly/plotly.py/pull/2626))
- `px.NO_COLOR` constant to override wide-form color assignment in Plotly Express ([#2614](https://github.com/plotly/plotly.py/pull/2614))

### Fixed

- trendline traces are now of type `scattergl` when `render_mode="webgl"` in Plotly Express ([#2614](https://github.com/plotly/plotly.py/pull/2614))
- regression from 4.8.1 whereby `"parent"` was not accepted as part of `path` for `px.sunburst()` and `px.treemap()` ([#2640](https://github.com/plotly/plotly.py/pull/2640))
- `create_dendrogram()` figure factory now works correctly with `scipy` 1.5.1 ([#2627](https://github.com/plotly/plotly.py/pull/2627))

### Updated

- Updated Plotly.js to version 1.54.6. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.54.6/CHANGELOG.md) for more information.
- Added all cartesian-2d Plotly Express functions, plus `imshow`, to Pandas backend with `kind` option ([#2541](https://github.com/plotly/plotly.py/pull/2541))
- `plotly.express.imshow` now uses data frame index and columns names and values to populate axis parameters by default ([#2539](https://github.com/plotly/plotly.py/pull/2539))
- Javascript extensions are now build using Node 12, and have an updated `package-lock.json` with many fewer security warnings ([#2636](https://github.com/plotly/plotly.py/pull/2636))

## [4.8.2] - 2020-06-26

### Updated

- Updated Plotly.js to version 1.54.5. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.54.5/CHANGELOG.md) for more information.
- `add_traces()` now accepts bare `int`-like values for `rows`/`cols` as well as lists thereof ([#2546](https://github.com/plotly/plotly.py/pull/2546)), with thanks to [@MCBoarder289](https://github.com/MCBoarder289) for the contribution!

### Fixed

- `row`/`col` now accept `int`-like values, not strictly `int` values ([#2451](https://github.com/plotly/plotly.py/pull/2451)), with thanks to [@MCBoarder289](https://github.com/MCBoarder289) for the contribution!
- Fixed special cases with `px.sunburst` and `px.treemap` with `path` input ([#2524](https://github.com/plotly/plotly.py/pull/2524))
- Fixed bug in `hover_data` argument of `px` functions, when the column name is changed with labels and `hover_data` is a dictionary setting up a specific format for the hover data ([#2544](https://github.com/plotly/plotly.py/pull/2544)).
- Made the Plotly Express `trendline` argument more robust and made it work with datetime `x` values ([#2554](https://github.com/plotly/plotly.py/pull/2554))
- Fixed bug in `px.sunburst` and `px.treemap`: when the `color` and `values` arguments correspond to the same column, a different aggregation function has to be used for the two arguments ([#2591](https://github.com/plotly/plotly.py/pull/2591))
- Plotly Express wide mode now accepts mixed integer and float columns ([#2598](https://github.com/plotly/plotly.py/pull/2598))
- Plotly Express `range_(x|y)` should not impact the unlinked range of marginal subplots ([#2600](https://github.com/plotly/plotly.py/pull/2600))
- `px.line` now sets `line_group=<variable>` in wide mode by default ([#2599](https://github.com/plotly/plotly.py/pull/2599))
- Corrected some regex warnings ([#2577](https://github.com/plotly/plotly.py/pull/2577)), with thanks to [@georgevdd](https://github.com/georgevdd) for the contribution!

## [4.8.1] - 2020-05-28

### Fixed

- Fixed the accidental removal of some functions and submodules from `plotly.colors` and `plotly.express.colors`

## [4.8.0] - 2020-05-26

### Added

- `plotly` now provides a Plotly Express-backed Pandas-compatible plotting backend, which can be activated via `pandas.options.plotting.backend = "plotly"`. Note that it is not intended to implement every Pandas plotting function, nor is it intended to replicate the behaviour of every argument, although per the changes below, `x` and `y` should behave similarly. ([#2336](https://github.com/plotly/plotly.py/pull/2336))
- New datasets have been added to `plotly.express.data`: `stocks`, `experiment`, `medals_wide` and `medals_long`. ([#2336](https://github.com/plotly/plotly.py/pull/2336))
- plotly `go.Figure` and `go.FigureWidget` now have a `_repr_html_` and a `_repr_mimebundle_` method, which are [standard hooks for integration in systems based on IPython](https://ipython.readthedocs.io/en/stable/config/integrating.html). In particular, with `_repr_html_` plotly figures can now be used within [sphinx-gallery](https://sphinx-gallery.github.io/stable/index.html) without any scraper. These additions should not change anything to the way plotly figures are displayed in notebook environments, since the `_ipython_display_` method (already present in earlier versions) takes precedence over the new methods.

### Updated

- The behaviour of the `x`, `y`, `orientation`, `histfunc`, `violinmode`, `boxmode` and `stripmode` arguments for 2d-cartesian functions in Plotly Express (i.e. `scatter`, `line`, `area`, `bar`, `histogram`, `violin`, `box`, `strip`, `funnel`, `density_heatmap` and `density_contour`) has been refined ([#2336](https://github.com/plotly/plotly.py/pull/2336)):
    - if `x` or `y` is missing, it is inferred to be the index of `data_frame` if `data_frame` provided, otherwise a stable index of integers starting at 0. In the case of `px.bar`, if the provided value is not continuous, the missing value is treated as a column of 1s named "count", so as to behave more like `px.histogram` and to avoid sizing the resulting bars differently based on their position in the column. Previously, missing values defaulted to integers starting at 0 *per trace* which made it potentially inconsistent or misleading.
    - if `x` (`y`) is missing, `orientation` now defaults to `v` (`h`). Previously it always defaulted to `v` but this is not considered a breaking change, as the cases in which it now defaults to `h` caused unreadable output if set to `v`.
    - if both `x` and `y` are provided and one of them does not contain continuous values, `orientation` defaults to the value perpendicular to that axis. Previously it always defaulted to `v` but this is not considered a breaking change, as the cases in which it now defaults to `h` caused unreadable output if set to `v`.
    - if either `x` or `y` (but not both) may now be provided as a list of column references into `data_frame` or columns of data, in which case the imputed data frame will be treated as "wide" data and `melt()`ed internally before applying the usual mapping rules, with function-specific defaults.
    - if neither `x` nor `y` is provided but `data_frame` is, the data frame will be treated as "wide" with defaults depending on the value of `orientation` (and `orientation` has accordingly been added to `scatter`, `line`, `density_heatmap`, and `density_contour` for this purpose). Previously this would have resulted in an empty figure.
    - if both `x` and `y` are provided to `histogram`, and if `x`, `y` and `z` are provided to `density_heatmap` or `density_contour`, then `histfunc` now defaults to `sum` so as to avoid ignoring the provided data, and to cause `histogram` and `bar` to behave more similarly.
    - `violinmode`, `boxmode` and `stripmode` now default to `overlay` if `x` (`y`) in in `v` (`h`) orientation is also mapped to `color`, to avoid strange spacing issues with the previous default of `group` in all cases.
- The Plotly Express arguments `color_discrete_map`, `symbol_map` and `line_dash_map` now accept the string `"identity"` which causes the corresponding input data to be used as-is rather than mapped into `color_discrete_sequence`, `symbol_sequence` or `line_dash_sequence`, respectively. ([#2336](https://github.com/plotly/plotly.py/pull/2336))
- Plotly Express now accepts `px.Constant` or `px.Range` objects in the place of column references so as to express constant or increasing integer values. ([#2336](https://github.com/plotly/plotly.py/pull/2336))

## [4.7.1] - 2020-05-08

### Fixed

- Fix `AttributeError: module 'plotly.graph_objs' has no attribute 'FigureWidget'` exception on `from plotly.graph_objs import *` when `ipywidgets` is not installed. Error also occurred when importing `plotly.figure_factor`. It is now possible to import `plotly.graph_objs.FigureWidget` when `ipywidgets` is not installed, and an informative `ImportError` exception will be raised in the `FigureWidget` constructor ([#2443](https://github.com/plotly/plotly.py/issues/2443), [#1111](https://github.com/plotly/plotly.py/issues/1111)).
 - Fix `TypeError: unhashable type: 'Template'` during `Figure` construction when `plotly.io.templates.default` is set to a `Template` object rather than a string.

## [4.7.0] - 2020-05-06

### Updated

- Updated Plotly.js to version 1.54.1. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.54.1/CHANGELOG.md) for more information. The main new feature of this version of Plotly.js is the possibility to draw layout shapes, using custom dragmodes and corresponding modebar buttons.
- The sphinx-gallery scraper has been updated to work with different structures of galleries [#2149](https://github.com/plotly/plotly.py/pull/2419)

### Added

- The `hover_data` parameter of `px` functions can now be a dictionary. This makes it possible to skip hover information for some arguments or to change the formatting of hover informatiom [#2377](https://github.com/plotly/plotly.py/pull/2377).
- It's now possible to build a development version of Plotly.py against the build artifacts from a non-`master` branch of Plotly.js, which makes for faster QA and development cycles [#2349](https://github.com/plotly/plotly.py/pull/2349). Thanks [@zouhairm](https://github.com/zouhairm) for this Pull Request!

### Fixed

- Plotly Express trendlines now handle missing data correctly [#2357](https://github.com/plotly/plotly.py/pull/2357)

### Performance

This version includes several performance improvements ([#2368](https://github.com/plotly/plotly.py/pull/2368), [#2403](https://github.com/plotly/plotly.py/pull/2403)).

- Child graph objects (e.g. `figure.layout.xaxis`) are no longer created eagerly during graph object construction. Instead, they are created lazily the first time the property is accessed.
 - Property validation is now disabled for select internal operations.
 - When used with Python 3.7 and above, ploty.py now takes advantage of [PEP-562](https://www.python.org/dev/peps/pep-0562/) to perform submodule imports lazily.  This dramatically improves import times.

## [4.6.0] - 2020-03-31

### Updated

- Updated Plotly.js to version 1.53.0. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.53.0/CHANGELOG.md) for more information on the numerous new features and bug fixes of this release. The main features of the Plotly.js release are
    - Introduce range breaks on date axes (for example, to remove week-ends) via `layout.xaxis.rangebreaks`
    - Introduce a new unified x (or y) hovermode (`layout.hovermode="x unified"`), in which the hover box shows the information for all traces at a given x (or y) position
    - Add `node.customdata` and `link.customdata` to sankey traces
- Updated [contributing notes](https://github.com/plotly/plotly.py/blob/master/contributing.md) for more explanations on how to contribute to plotly.py [#2290](https://github.com/plotly/plotly.py/pull/2290). Please give feedback on these notes!
- Updated documentation examples [#2325](https://github.com/plotly/plotly.py/pull/2325), and to show how to color links in Sankey diagrams [#2291](https://github.com/plotly/plotly.py/pull/2291).
- Special thanks to [@SylwiaOliwia2](https://github.com/SylwiaOliwia2) and [@dangercrow](https://github.com/dangercrow) for improving our documentation!

### Added

- `px.imshow` now accepts [`xarray`](http://xarray.pydata.org/) inputs, with metadata being used for axis labels, hover and colorbar [#2166](https://github.com/plotly/plotly.py/pull/2166)

### Fixed

- Fixed handling of `opacity` in `px.pie`, `px.funnel_area`, `px.density_mapbox`, `px.funnel` [#2317](https://github.com/plotly/plotly.py/pull/2317), with thanks to [@tvaucher](https://github.com/tvaucher) for the contribution!

## [4.5.4] - 2020-03-11

### Updated

- The documentation of the API https://plot.ly/python-api-reference/ now
  documents the full API [#2243](https://github.com/plotly/plotly.py/pull/2243)
- New documentation examples for facets [#2235](https://github.com/plotly/plotly.py/pull/2235), legend [#2227](https://github.com/plotly/plotly.py/pull/2227), subplots [#2226](https://github.com/plotly/plotly.py/pull/2226), axes [#2234](https://github.com/plotly/plotly.py/pull/2234) and histograms [#2242](https://github.com/plotly/plotly.py/pull/2242).
  Thanks to [@SylwiaOliwia2](https://github.com/@SylwiaOliwia2) for all these great
  examples!

### Fixed

- Jupyterlab extension now compatible with both Jupyterlab 1.2 and 2.0 [#2261](https://github.com/plotly/plotly.py/pull/2261) with thanks to [@consideRatio](https://github.com/consideRatio) for the contribution!
- Fixed a bug when using boolean values for the color argument of px functions [#2127](https://github.com/plotly/plotly.py/pull/2127)
- Corrected import bug which was occuring with old versions of ipywidgets [#2265](https://github.com/plotly/plotly.py/pull/2265)
- Fixed python 3.8 syntax warning [#2262](https://github.com/plotly/plotly.py/pull/2262), with thanks to [@sgn](https://github.com/sgn) for the contribution!

## [4.5.3] - 2020-03-05

### Updated

- Removed development dependency on `nose` testing framework [#2217](https://github.com/plotly/plotly.py/pull/2217)

### Fixed

- JupyterLab extension now compatible with JupyterLab 2.0 [#2245](https://github.com/plotly/plotly.py/pull/2245) with thanks to [@consideRatio](https://github.com/consideRatio) for the contribution!

## [4.5.2] - 2020-02-24

### Fixed

- Fix build errors in JupyterLab extension by pinning version of `@types/plotly.js` [#2223](https://github.com/plotly/plotly.py/issues/2223)

## [4.5.1] - 2020-02-19

### Updated

- Updated Plotly.js to version 1.52.2. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/releases/tag/v1.52.2) for more information on bug fixes.

### Fixed

- `update_annotations`, `update_shapes` and `update_layout_images` now no longer require the `patch` argument, as per the docstring [#2167](https://github.com/plotly/plotly.py/issues/2167)
 - `px.defaults` no longer accepts arbitrary keys [#2168](https://github.com/plotly/plotly.py/issues/2168)
 - better error message when `pandas` is not installed [#2125](https://github.com/plotly/plotly.py/issues/2125)
 - support columns of numerical type in `path` argument of `px.sunburst`/`px.treemap` and add values of `color` column in hoverlabel for `px.sunburst`/`px.treemap` [#2133](https://github.com/plotly/plotly.py/pull/2133)

## [4.5.0] - 2020-01-22

### Updated
 - Updated Plotly.js to version 1.52.1. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.52.0/CHANGELOG.md#1520----2020-01-08) for more information on numerous new attribute and bug fixes.
 - Plotly Express uses the new `legend.title` attribute and so now has shorter trace `name`s [#2051](https://github.com/plotly/plotly.py/pull/2051)
 - The heuristic used by `px.parallel_categories` to determine which columns of the data frame to draw has been changed and made more configurable with the `dimensions_max_cardinality` argument [#2102](https://github.com/plotly/plotly.py/pull/2102)
 - The `simple_white` colorbar styling has been streamlined [#2110](https://github.com/plotly/plotly.py/pull/2110)
 - The `jupyterlab-plotly` and `plotlywidget` JupyterLab extensions should now share code when installed together, resulting in smaller JupyterLab vendor bundle sizes [#2103](https://github.com/plotly/plotly.py/pull/2103)

### Fixed

- Plotly Express `category_orders` are now respected independent of the contents of the data set [#2084](https://github.com/plotly/plotly.py/issues/2084)
 - `go.Scattergl` symbols now accept numeric specification [#1928](https://github.com/plotly/plotly.py/issues/1928)
 - `px.scatter` trendline coefficients are now more readable [#1984](https://github.com/plotly/plotly.py/issues/1984)
 - Built-in cyclical color scales now all have identical start and end points [#2016](https://github.com/plotly/plotly.py/pulls/2016)

### Added
 - `px.sunburst` and `px.treemap` now accept a `path` argument for passing
   columns of a rectangular dataframe to build the charts [#2006](https://github.com/plotly/plotly.py/pull/2006)
 - `px.choropleth` now accepts a user-supplied `geojson` attribute [#2057](https://github.com/plotly/plotly.py/pull/2057)
 - `px.choropleth` and `px.choropleth_mapbox` now accept `featureidkey` to specify the GeoJSON field to use to match `locations` [#2057](https://github.com/plotly/plotly.py/pull/2057)
 - `px.choropleth` and `px.choropleth_mapbox` now accept discrete color [#2057](https://github.com/plotly/plotly.py/pull/2057)
 - `px.bar_polar` now accepts continuous color [#2017](https://github.com/plotly/plotly.py/pull/2017)
 - New `layout.uniformtext` attribute allows for automatic standardization of font sizes across bar-like and hierarchical traces. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/v1.52.0/CHANGELOG.md#1520----2020-01-08)
 for more information

## [4.4.1] - 2019-12-10

### Fixed
 - Fixed improper JSON encoding exception when the `pillow` module not installed [#1993](https://github.com/plotly/plotly.py/pull/1993)

## [4.4.0] - 2019-12-10

### Updated
 - Updated Plotly.js to version 1.51.2. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1512----2019-11-25)
 for more information
 - The tutorials of the [plotly.py documentation](https://plot.ly/python/) are
   now in the main [plotly.py Github repository](https://github.com/plotly/plotly.py). Contributions in order to improve or extend the documentation are very welcome!
 - `plotly.express` generated plots no longer have a default height of 600 pixels, instead they inherit the default height of regular figures [#1990](https://github.com/plotly/plotly.py/pull/1990). To restore the old behavior, set `px.defaults.height=600` once per session, or set the `height` keyword arguement to any `px.function()` to 600.

### Fixed

- Fixed a plotly.express input bug when using data frame indices[#1934](https://github.com/plotly/plotly.py/pull/1934)
 - Fixed how to display facet labels with plotly express [#1966](https://github.com/plotly/plotly.py/pull/1966)
 - Fixed a bug to use correctly the `zmin/zmax` parameter in `px.imshow` for single-channel images [#1981](https://github.com/plotly/plotly.py/pull/1981)
 - Clipped docstring width for better display in Jupyterlab [#1939](https://github.com/plotly/plotly.py/pull/1939). Thank you @joelostblom!
 - Fixed a bug in the case of external orca server [#1915](https://github.com/plotly/plotly.py/pull/1915) thank you @dev-dsp!

### Added

- Extended the plotly.express functional API with 7 new functions: `px.pie`,
   `px.sunburst`, `px.treemap`, `px.funnel`, and `px.funnel_area` ([#1909](https://github.com/plotly/plotly.py/pull/1909)) `px.density_mapbox` and
   `px.choropleth_mapbox` [#1937](https://github.com/plotly/plotly.py/pull/1937).
 - plotly.express mapbox functions in plotly.express have new arguments `center` and `mapbox_style` [#1937](https://github.com/plotly/plotly.py/pull/1937).
 - plotly.express polar plots (`scatter_polar`, `line_polar`, `bar_polar`) now
   have a `range_theta` keyword argument for representing only an angular
section [#1969](https://github.com/plotly/plotly.py/pull/1969).
 - All continuous colorscales now accept a `_r` suffix that reverses their direction [#1933](https://github.com/plotly/plotly.py/pull/1933)
 - Docstrings of plotly.py are now doctested [#1921](https://github.com/plotly/plotly.py/pull/1921).
 - Reversing a predefined colorscale by appending `_r` to its name [#1933](https://github.com/plotly/plotly.py/pull/1933)

## [4.3.0] - 2019-11-11

### Updated
 - Updated Plotly.js to version 1.51.1. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1511----2019-11-04)
 for more information
 - Improved propagation of empty templates ([#1892](https://github.com/plotly/plotly.py/pull/1892))
 - Update the `add_annotations`/`add_shapes`/`add_images` methods to no longer default to adding objects in paper coordinates. This allows plotly.js to determine the default reference frame based on context ([#1888](https://github.com/plotly/plotly.py/pull/1888))
 - Use the default template's background color for displaying color swatches ([#1872](https://github.com/plotly/plotly.py/pull/1872)). Special thanks to [@joelostblom](https://github.com/joelostblom) for this contribution!
 - Improved docstrings ([#1835](https://github.com/plotly/plotly.py/pull/1835), [#1837](https://github.com/plotly/plotly.py/pull/1837))

### Added
 - Added image trace type ([plotly.js#4289](https://github.com/plotly/plotly.js/pull/4289), [plotly.js#4307](https://github.com/plotly/plotly.js/pull/4307), [plotly.js#4313](https://github.com/plotly/plotly.js/pull/4313), [plotly.js#4319](https://github.com/plotly/plotly.js/pull/4319))
 - Added matplotlib-style `plotly.express.imshow` convenience function to display images and heatmaps ([#1855](https://github.com/plotly/plotly.py/pull/1855), [#1885](https://github.com/plotly/plotly.py/pull/1885))
 - Added matplotlib-style `simple_white` template ([#1864](https://github.com/plotly/plotly.py/pull/1864)). Special thanks to [@joelostblom](https://github.com/joelostblom) for this contribution.
 - Added support for using an externally managed orca server for image export features ([#1850](https://github.com/plotly/plotly.py/pull/1850)). Special thanks to [@miriad](https://github.com/miriad) for this contribution.
 - Added facet wrapping support to plotly express functions using the new `facet_col_wrap` argument ([#1838](https://github.com/plotly/plotly.py/pull/1838))

## [4.2.1] - 2019-10-18
### Fixed
 - Fixed regression in 4.2.0 that caused all figure factories to require that scikit-image be installed ([#1832](https://github.com/plotly/plotly.py/pull/1832))

## [4.2.0] - 2019-10-16

### Updated
 - Updated Plotly.js to version 1.50.1. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1501----2019-10-15)
 for more information

### Added
 - Added `treemap` trace type ([plotly.js#4185](https://github.com/plotly/plotly.js/pull/4185), [plotly.js#4219](https://github.com/plotly/plotly.js/pull/4219), [plotly.js#4227](https://github.com/plotly/plotly.js/pull/4227), [plotly.js#4242](https://github.com/plotly/plotly.js/pull/4242))
 - Added `add_*`/`select_*`/`for_each_*`/`update_*` convenience figure methods for annotations, shapes, and images ([#1817](https://github.com/plotly/plotly.py/pull/1817))
 - Added `overwrite` kwarg to `update*` figure methods to fully replace property values, rather than update them recursively ([#1726](https://github.com/plotly/plotly.py/pull/1726))
 - Added `texttemplate` attribute to all traces that support on-graph text ([plotly.js#4071](https://github.com/plotly/plotly.js/pull/4071), [plotly.js#4179](https://github.com/plotly/plotly.js/pull/4179))
 - Added date custom formatting in `hovertemplate` and `texttemplate` e.g. `'%{x|%b %-d, %Y}'` ([plotly.js#4071](https://github.com/plotly/plotly.js/pull/4071))
 - Added transition support to `bar` trace length, width, on-graph text positioning, marker style and error bars ([plotly.js#4180](https://github.com/plotly/plotly.js/pull/4180), [plotly.js#4186](https://github.com/plotly/plotly.js/pull/4186))
 - Added support for legend scrolling via touch interactions ([plotly.js#3873](https://github.com/plotly/plotly.js/pull/3873), [plotly.js#4214](https://github.com/plotly/plotly.js/pull/4214))

### Fixed
 - Fixed `iframe` renderer on Python 2 ([#1822](https://github.com/plotly/plotly.py/pull/1822))
 - Fixed use of merged templates in plotly.express ([#1819](https://github.com/plotly/plotly.py/pull/1819))

## [4.1.1] - 2019-09-02

### Updated
 - Updated Plotly.js to version 1.49.4. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1494----2019-08-22)
 for more information
 - The width of a figure produced by the `create_gantt` figure factory now resizes responsively ([#1724](https://github.com/plotly/plotly.py/pull/1724))

### Fixed
 - The name of the steps property of `graph_objects.indicator.Guage` has been renamed from `stepss` to `steps`
 - Avoid crash in iframe renderers when running outside iPython ([#1723](https://github.com/plotly/plotly.py/pull/1723))

## [4.1.0] - 2019-08-06

### Updated
 - Updated Plotly.js to version 1.49.1. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1491----2019-07-31)
 for more information.
 - Bars in the figures produced by the `create_gantt` figure factory may now be hidden by clicking on the legend ([#1665](https://github.com/plotly/plotly.py/pull/1665)). Special thanks to [@csabaszan](https://github.com/csabaszan) for this contribution!
 - Improved performance when serializing figures containing large numpy arrays ([#1690](https://github.com/plotly/plotly.py/pull/1690)). Special thanks to [@miriad](https://github.com/miriad) for this contribution!

### Added
- Added new renderers for displaying figures from within the Databricks and CoCalc notebook services ([#1703](https://github.com/plotly/plotly.py/pull/1703))
- Added `indicator` traces ([plotly/plotly.js#3978](https://github.com/plotly/plotly.js/pull/3978))
- Added `choroplethmapbox` traces ([plotly/plotly.js#3988](https://github.com/plotly/plotly.js/pull/3988))
- Added `densitymapbox` traces ([plotly/plotly.js#3993](https://github.com/plotly/plotly.js/pull/3993))
- Added new mapbox `style` values: `open-street-map`, `carto-positron`, `carto-darkmatter`,
  `stamen-terrain`, `stamen-toner`, `stamen-watercolor` and `white-bg`
  that do not require a Mapbox access token ([plotly/plotly.js#3987](https://github.com/plotly/plotly.js/pull/3987), [plotly/plotly.js#4068](https://github.com/plotly/plotly.js/pull/4068))
- Added support for `sourcetype` value `raster` and `image` and `type` `raster`
  for mapbox layout layers ([plotly/plotly.js#4006](https://github.com/plotly/plotly.js/pull/4006))
- Added `below` attribute to `scattermapbox` traces ([plotly/plotly.js#4058](https://github.com/plotly/plotly.js/pull/4058))
- Added support for `below: 'traces'` in mapbox layout layers ([plotly/plotly.js#4058](https://github.com/plotly/plotly.js/pull/4058))
- Added `sourceattribution` attribute to mapbox layout layers ([plotly/plotly.js#4069](https://github.com/plotly/plotly.js/pull/4069))
- Added `labelangle` and `labelside` attributes to `parcoords` traces ([plotly/plotly.js#3966](https://github.com/plotly/plotly.js/pull/3966))
- Added `doubleClickDelay` config option ([plotly/plotly.js#3991](https://github.com/plotly/plotly.js/pull/3991))
- Added `showEditInChartStudio` config option ([plotly/plotly.js#4061](https://github.com/plotly/plotly.js/pull/4061))

### Fixed
 - Fixed incorrect facet row ordering in figures generated by plotly.express functions ([plotly/plotly_express#129](https://github.com/plotly/plotly_express/issues/129))
 - Fixed "The truth value of an array with more than one element is ambiguous" error when specifying subplot titles as numpy array of strings ([#1685](https://github.com/plotly/plotly.py/pull/1685)). Special thanks to [@MrQubo](https://github.com/MrQubo) for this contribution!
 - The `line_3d` plotly express function was not visible by default when importing `*` from `plotly.express` ([#1667](https://github.com/plotly/plotly.py/pull/1667/files))

## [4.0.0] - 2019-07-16

This is a major release that includes many new features, and a few breaking changes. See the [version 4 announcement](https://community.plot.ly/t/introducing-plotly-py-4-0-0rc1/25639) for a summary of the important changes.

### Updated
 - Updated Plotly.js to version 1.48.3. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1483----2019-06-13)
 for more information.

### Added
 - The Plotly Express tech preview (https://medium.com/@plotlygraphs/introducing-plotly-express-808df010143d) has been integrated as the `plotly.express` module ([#1613](https://github.com/plotly/plotly.py/pull/1613))
 - Added a new renderers framework the supports rendering figure in a wide variety of contexts ([#1474](https://github.com/plotly/plotly.py/pull/1474)). See the new [Displaying Plotly Figures](https://plot.ly/python/next/renderers) documentation page for more information.
 - Added `plotly.io.write_html` and `plotly.io.to_html` functions for exporting figures to HTML ([1474](https://github.com/plotly/plotly.py/pull/1474)). Also available as `.write_html` and `.to_html` figure methods.
 - Added new figure methods for batch updating figure properties (`update_layout`, `update_traces`, `update_xaxes`, etc.) ([#1624](https://github.com/plotly/plotly.py/pull/1624)).  See the new [Creating and Updating Figures](https://plot.ly/python/next/creating-and-updating-figures/) documentation page for more details.
 - Added support for all trace types in `make_subplots` ([#1528](https://github.com/plotly/plotly.py/pull/1528))
 - Added support for secondary y-axes in `make_subplots` ([#1564](https://github.com/plotly/plotly.py/pull/1564))
 - Support passing a scalar trace object (rather than a list or tuple of trace objects) as the `data` property to the `Figure` constructor ([#1614](https://github.com/plotly/plotly.py/pull/1614))
 - Added dictionary-stule `.pop` method to graph object classes ([#1614](https://github.com/plotly/plotly.py/pull/1614))
 - New `jupyterlab-plotly` JupyterLab extension for rendering figures in JupyterLab. Replaces the `@jupyterlab/plotly-extension` extension, and includes JupyterLab 1.0 support.
 - Added new suite of built-in colorscales to the `plotly.colors` module, and support for specifying this wide range of colorscales by name. Also added support for specifying colorscales as a list of colors, in which case the color spacing is assumed to be uniform ([#1647](https://github.com/plotly/plotly.py/pull/1647)).
 - Added `sphinx-gallery` renderer for embedding plotly figures in [Sphinx-Gallery](https://sphinx-gallery.github.io/) ([#1577](https://github.com/plotly/plotly.py/pull/1577), [plotly/plotly-sphinx-gallery](https://github.com/plotly/plotly-sphinx-gallery)).

### Removed
 - The follow modules for interfacing with the Chart Studio cloud service have been removed from plotly.py and moved to the new `chart-studio` distribution package.  The following modules have been moved to a new top-level `chart_studio` module:
   - `plotly.plotly` -> `chart_studio.plotly`
   - `plotly.api` -> `chart_studio.api`
   - `plotly.dashboard_objs` -> `chart_studio.dashboard_objs`
   - `plotly.grid_objs` -> `chart_studio.grid_objs`
   - `plotly.presentation_objs` -> `chart_studio.presentation_objs`
 - The legacy `plotly.widgets.GraphWidget` class for displaying online figures hosted by Chart Studio as ipywidgets has been removed. Please use the offline, and much more capable, `plotly.graph_objects.FigureWidget` class instead.
 - The `fileopt` argument to `chart_studio.plotly.plot` has been removed, so in-place modifications to previously published figures are no longer supported, and a figure will always overwrite a figure with the same name.

### Changed
 - The `'plotly'` template is used as the default theme across all figures.
 - In order to reduce the size of the core `plotly` distribution package, the bundled geographic shape files used by the `create_choropleth` figure factory have been moved to a new optional `plotly-geo` distribution package ([1604](https://github.com/plotly/plotly.py/pull/1604))
 - For consistency with other figure factories, the `create_choropleth`  and `create_gantt` figure factories now always returns `Figure` objects, rather than dictionaries ([#1600](https://github.com/plotly/plotly.py/pull/1600), [#1607](https://github.com/plotly/plotly.py/pull/1607)).
 - Figure add trace methods (`.add_trace`, `.add_traces`, `.add_scatter`, etc.) now return a reference to the calling figure, rather than the newly created trace ([#1624](https://github.com/plotly/plotly.py/pull/1624))
 - `plotly.tools.make_subplots` has been moved to `plotly.subplots.make_subplots`, though it is still available at the previous location for backward compatibility
 - The `plotly.graph_objs` module has been moved to `plotly.graph_objects`, though it is still available at the previous location for backward compatibility ([#1614](https://github.com/plotly/plotly.py/pull/1614))
 - Trace `uid` properties are only generated automatically when a trace is added to a `FigureWidget`.  When a trace is added to a standard `Figure` graph object the input `uid`, if provided, is accepted as is ([#1580](https://github.com/plotly/plotly.py/pull/1580)).
 - `datetime` objects that include timezones are not longer converted to UTC ([#1581](https://github.com/plotly/plotly.py/pull/1581))
 - When a tuple property (e.g. `layout.annotations`) is updated with a list/tuple that is longer than the current value, the extra elements are appended to the end of the tuple.

### Fixed
 - Fixed visibility of `bar` trace error bars in built-in templates ([1656](https://github.com/plotly/plotly.py/pull/1656))

## [3.10.0] - 2019-05-31

### Updated
 - Updated Plotly.js to version 1.48.1. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1481----2019-05-30)
 for more information.

### Added
 - Added funnel trace
 ([plotly/plotly.js#3817](https://github.com/plotly/plotly.js/pull/3817),
 [plotly/plotly.js#3911](https://github.com/plotly/plotly.js/pull/3911))
 - Added funnelarea traces
 ([#3876](https://github.com/plotly/plotly.js/pull/3876),
 [#3912](https://github.com/plotly/plotly.js/pull/3912))
 - Added support for shared color axes via coloraxis attributes in the layout
 ([#3803](https://github.com/plotly/plotly.js/pull/3803),
 [#3786](https://github.com/plotly/plotly.js/pull/3786),
 [#3901](https://github.com/plotly/plotly.js/pull/3901),
 [#3916](https://github.com/plotly/plotly.js/pull/3916))
 - Added support for sorting categorical cartesian axes by value
 ([#3864](https://github.com/plotly/plotly.js/pull/3864))
 - Added `bingroup` to `histogram`, `histogram2d` and `histogram2dcontour`
 to group traces to have compatible auto-bin values
 ([#3845](https://github.com/plotly/plotly.js/pull/3845))
 - Add legend `itemclick` and `itemdoubleclick` attributes to set or disable
 the legend item click and double-click behavior
 ([#3862](https://github.com/plotly/plotly.js/pull/3862))
 - Added support for calling orca through [Xvfb](https://www.x.org/releases/X11R7.6/doc/man/man1/Xvfb.1.xhtml)
 to support static image export on Linux when X11 is not available
 ([#1523](https://github.com/plotly/plotly.py/pull/1523)).

### Fixed
 - Fixed `PlotlyJSONEncoder` encoding error when `simplejson` is installed
 ([#1556](https://github.com/plotly/plotly.py/issues/1556),
 [#1561](https://github.com/plotly/plotly.py/pull/1561))
 - HTML export now honors the figure height specified in the figure template
 ([#1560](https://github.com/plotly/plotly.py/issues/1560))
 - Fixed display height of figure displayed in JupyterLab
 ([#1572](https://github.com/plotly/plotly.py/issues/1572),
 [#1571](https://github.com/plotly/plotly.py/pull/1571))
 - Fixed honouring of the `validate=False` option for all renderer types
 ([#1576](https://github.com/plotly/plotly.py/pull/1576))

## [3.9.0] - 2019-04-19

### Updated
 - Updated Plotly.js to version 1.47.4. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1474----2019-04-25)
 for more information.

### Added
 - Added "magic underscore" support for specifying nested figure properties
 ([#1534](https://github.com/plotly/plotly.py/pull/1534))
 - Added `select_traces`, `for_each_trace`, and `update_traces` figure
 methods for accessing and updating traces by subplot location and trace
 properties
 ([#1534](https://github.com/plotly/plotly.py/pull/1534))
 - Added `select_*`, `for_each_*`, and `update_*` figure methods for
 accessing and updating subplot objects (`xaxis`, `scene`, `polar`, etc)
 ([#1548](https://github.com/plotly/plotly.py/pull/1548))
 - Added support for Dash Design Kit style color specifications
 ([#1541](https://github.com/plotly/plotly.py/pull/1541)). Thanks to
 [@wbrgss](https://github.com/wbrgss) for this contribution!
 - Added support for the `plotly_unselect` plotly.js event in a new
 `on_unselect` trace method
 ([#1542](https://github.com/plotly/plotly.py/pull/1542)). Thanks to
 [@denphi](https://github.com/denphi) for this contribution!

### Changed
 - Changed the default colorscale to be `plasma` for the `plotly`, `plotly_white`, and
 `plotly_dark` templates for plotly.py version 4
 ([#1274](https://github.com/plotly/plotly.py/issues/1274),
 [#1549](https://github.com/plotly/plotly.py/pull/1549))
 - Reordered the default colorway for the `plotly`, `plotly_white`, and
 `plotly_dark` templates for plotly.py version 4
 ([#1549](https://github.com/plotly/plotly.py/pull/1549))

### Fixed
 - Fixed package listing in setup.py
 ([#1543](https://github.com/plotly/plotly.py/pull/1543)).  Thanks to
 [@jakevdp](https://github.com/jakevdp) for this contribution!
 - Fixed built-in templates so that `heatmap` colorscales can be overridden
 without specifying `autocolorscale=False`
 ([#1454](https://github.com/plotly/plotly.py/issues/1454),
 [#1549](https://github.com/plotly/plotly.py/pull/1549))
 - Fix `UnboundLocalError` error in the presence of a missing or corrupt
 `~/.plotly/.config` file
 ([#1551](https://github.com/plotly/plotly.py/pull/1551))
 - Fixed error when combining `sankey` traces with cartesian subplots
 ([#1527](https://github.com/plotly/plotly.py/issues/1527),
 [plotly/plotly.js#3802](https://github.com/plotly/plotly.js/pull/3802))

## [3.8.1] - 2019-04-19

### Updated
 - Updated Plotly.js to version 1.47.3. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#plotlyjs-changelog)
 for more information.

### Fixed
 - Fix MathJax rendering in Firefox ([plotly/plotly.js#3783](https://github.com/plotly/plotly.js/pull/3783))
 - Fix vertical responsive resizing in exported HTML files
 ([#1524](https://github.com/plotly/plotly.py/issues/1524),
 [1525](https://github.com/plotly/plotly.py/pull/1525))

### Changed
 - Reverted change to `layout.legend.itemsizing = 'constant'` in built-in templates
 that was made in 3.8.0. This resulted in unexpectedly large legend entries in
 some common cases ([#1526](https://github.com/plotly/plotly.py/pull/1526))

## [3.8.0] - 2019-04-15

### Updated
 - Updated Plotly.js to version 1.47.1. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1471----2019-04-10)
 for more information.

### Added
 - Three new trace types: `sunburst` ([plotly/plotly.js#3594](https://github.com/plotly/plotly.js/pull/3594)),
 `waterfall` ([plotly/plotly.js#3531](https://github.com/plotly/plotly.js/pull/3531)),
 and `volume` ([plotly/plotly.js#3488](https://github.com/plotly/plotly.js/pull/3488)).
 - New `plotly.io.to_html` and `plotly.io.write_html` functions to export
 figures as html ([#1474](https://github.com/plotly/plotly.py/pull/1474)).
 - Added `animation_opts` argument to `plotly.offline.plot` and
 `plotly.offline.iplot` to control the auto-play animation settings
 ([#1503](https://github.com/plotly/plotly.py/pull/1503)).  Special thanks
 to [@TakodaS](https://github.com/TakodaS) for this contribution!

### Fixed
 - Fix race condition when checking the permissions of the `.plotly` settings
 directory ([#1498](https://github.com/plotly/plotly.py/pull/1498)). Special
 thanks to [@pb-cdunn](https://github.com/pb-cdunn) for this contribution!
 - Fix `OSError` when processing time series data using Python 3.7+
 ([#1402](https://github.com/plotly/plotly.py/issues/1402),
 [#1501](https://github.com/plotly/plotly.py/pull/1501))

### Updated
 - Align hoverlabels left and set legend items to constant-size in builtin
 themes ([#1520](https://github.com/plotly/plotly.py/pull/1520))

## [3.7.1] - 2019-03-19

### Fixed
 - Fixed `.update` on numbered axis objects for Python < 3.6
 ([#1462](https://github.com/plotly/plotly.py/issues/1462),
 [#1464](https://github.com/plotly/plotly.py/pull/1464))

## [3.7.0] - 2019-03-08

### Updated
 - Updated Plotly.js to version 1.45.2. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1452----2019-03-07)
 for more information.

### Added
 - Added new `auto_play` argument to offline `plot` and `iplot` to control
 whether figures with frames are automatically animated when the figure is
 loaded
 ([#1447](https://github.com/plotly/plotly.py/pull/1447))
 - Added support for uploading "offline" animations (those with inline data
 arrays rather than grid references) to Chart Studio using `plotly.plotly.create_animations`
 ([#1432](https://github.com/plotly/plotly.py/pull/1432))

### Updated
 - Updated implementation of the `ternary_contour` figure factory that was
 added in 3.6.0. The new implementation uses the native plotly.js ternary axes
 and provides ILR transform support.
 ([#1418](https://github.com/plotly/plotly.py/pull/1418))

### Fixed
 - Make sure the trace `selectedpoints` property of `FigureWidget` traces is
 updated on the Python side in response to plotly.js selection events
 ([#1433](https://github.com/plotly/plotly.py/issues/1433))
 - Fix validation for 0-dimensional numpy arrays
 ([#1444](https://github.com/plotly/plotly.py/pull/1444)). Special thanks to
 [@ankokumoyashi](https://github.com/ankokumoyashi) for this contribution!

## [3.6.1] - 2019-02-08

### Updated
 - Updated Plotly.js to version 1.44.3. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1443----2019-02-06)
 for more information.

### Fixed
 - Crash on import when ipywidgets < 7 installed
 ([#1425](https://github.com/plotly/plotly.py/pull/1425))
 - Made `scipy` an optional import for the ternary contour figure factory
 ([#1423](https://github.com/plotly/plotly.py/pull/1423))
 - Eliminated use of deprecated `numpy.asscalar` function
 ([#1428](https://github.com/plotly/plotly.py/pull/1428))

### Updated
 - Updated Plotly.js to version 1.44.1. Select highlights included below.
 See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1441----2019-01-24)
 for more information.

## [3.6.0] - 2019-02-01

### Added
 - Add isosurface gl3d trace type
 ([plotly/plotly.js#3438](https://github.com/plotly/plotly.js/pull/3438))
 - Preview of ternary contour figure factory
 ([#1413](https://github.com/plotly/plotly.py/pull/1413)). Special thanks to
 [@emmanuelle](https://github.com/emmanuelle) for this contribution!
 - Add support for `line.color` colorbars for scatter3d traces
 ([#1085](https://github.com/plotly/plotly.py/issues/1085),
 [plotly/plotly.js#3384](https://github.com/plotly/plotly.js/pull/3384))
 - Add support for `hovertemplate` on `scatterpolar`, `scatterpolargl`,
 `scatterternary`, `barpolar`, `choropleth`, `scattergeo`, and
 `scattermapbox` trace
 ([plotly/plotly.js#3398](https://github.com/plotly/plotly.js/pull/3398),
 [plotly/plotly.js#3436](https://github.com/plotly/plotly.js/pull/3436))
 - Add width attribute to box and violin traces
 ([plotly/plotly.js#3234](https://github.com/plotly/plotly.js/pull/3234))
 - Add support for ``, ``, ``, `` and `` pseudo-html
 tags in extra (aka trace "name") hover labels
 ([plotly/plotly.js#3443](https://github.com/plotly/plotly.js/pull/3443))
 - Add 4 additional colors to the colorway cycle of the plotly themes
 ([#1408](https://github.com/plotly/plotly.py/pull/1408))
 - Automatically coerce array-like objects (e.g. xarray `DataArray`s) to
 numpy arrays
 ([#1393](https://github.com/plotly/plotly.py/pull/1393)). Special thanks to
 [@malmaud](https://github.com/malmaud) for this contribution!

### Fixed
 - Fix annotated heatmap text color when values are specified as a nested list
 ([#1300](https://github.com/plotly/plotly.py/issues/1300))
 - Fix `update` method with legacy `title*` properties
 ([#1403](https://github.com/plotly/plotly.py/issues/1403))
 - Fix deprecation warnings on Python 3.7 and ipywidgets > 7.0
 ([#1417](https://github.com/plotly/plotly.py/pull/1417)). Special thanks to
 [@Juanlu001](https://github.com/Juanlu001) for this contribution!

## [3.5.0] - 2019-01-04

### Updated
 - Updated Plotly.js to version 1.43.1. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1431----2018-12-21)
 for more information.

### Changed
 - Plotly.js 1.43 converted `title` properties (e.g. `layout.title`) from
 strings into compound objects that contain the text as the `text` property
 along with new title placement attributes `x`, `y`, `xref`, `yref`, `xanchor`,
 `yanchor` and `pad`. Plotly.py 3.5.0 follows the new schema, but still
 supports specifying `title` as a string, in which case the string is assigned
 to the `title.text` property
 ([#1302](https://github.com/plotly/plotly.py/issues/1302))
 - Plotly.js 1.43 also moved existing `title*` properties
 (e.g. `layout.titlefont`) under the `title` object (e.g. `layout.title.font`).
 Plotly.py 3.5.0 follows the new schema, but still
 supports the legacy `title*` properties by mapping them to the corresponding
 `title.*` property
 ([#1302](https://github.com/plotly/plotly.py/issues/1302))
 - The `update` method on `graph_objs` now returns the updated object in order
 to support chaining multiple update operations together
 ([#1379](https://github.com/plotly/plotly.py/issues/1379))
 - The `show_link` option has been set to `False` by default in the offline
 `plot` and `iplot` functions. Now that the "send data to cloud" button has
 been disabled by default in plotly.js 1.43.0, no buttons/links will be
 displayed by default that result in data being sent off of the local machine
 ([#1304](https://github.com/plotly/plotly.py/issues/1304))
 - `config` options that are not known by plotly.py result in a warning but are
 still passed along to plotly.js. Prior to this change these unknown options
 were dropped silently
 ([#1290](https://github.com/plotly/plotly.py/issues/1290))
 - Built-in themes now specify colorscales using the new global
 `layout.colorscale` properties.  Previously the colorscales were defined for
 each trace type individually. This reduces the size of the resulting theme
 files
 ([#1303](https://github.com/plotly/plotly.py/issues/1303))
 - Increased the maximum retry time of the orca integration from 8s to 30s
 ([#1297](https://github.com/plotly/plotly.py/issues/1297))

### Fixed
 - Fixed `FigureWidget` performance regression that, when working with
 large datasets, resulted in a slight freeze of the widget after user
 interactions (pan, zoom, etc)
 ([1305](https://github.com/plotly/plotly.py/issues/1305))
 - Fix orca error when the `ELECTRON_RUN_AS_NODE` environment variable is set
 ([#1293](https://github.com/plotly/plotly.py/issues/1293))
 - The `'responsive'` config key was being silently blocked
 ([#1290](https://github.com/plotly/plotly.py/issues/1290))
 - Fixed error when using unicode characters in string properties on Python 2
 ([#1289](https://github.com/plotly/plotly.py/issues/1289))
 - Removed invalid calls to non-existent `validate` and `strip_style` `Figure`
 methods in matplotlylib conversion logic
 ([#1128](https://github.com/plotly/plotly.py/issues/1128))

## [3.4.2] - 2018-11-23

### Fixed
 - `config` options are now supported when using `plotly.offline.iplot` to
 display a figure in JupyterLab. Requires version 0.18.1 of the
 `@jupyterlab/plotly-extension` extension.
 ([#1281](https://github.com/plotly/plotly.py/pull/1281),
 [jupyterlab/jupyter-renderers#168](https://github.com/jupyterlab/jupyter-renderers/pull/168))
 - Custom `plotly_domain` values are now supported in FigureWidget in both
 the classic notebook and JupyterLab
 ([#1284](https://github.com/plotly/plotly.py/pull/1284))

## [3.4.1] - 2018-11-09

### Updated
 - Updated Plotly.js to version 1.42.5. See the
 [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1423----2018-11-06)
 for more information.

### Fixed
 - Fixed histogram binning with pandas `Series` or numpy array
 (regression introduced in 3.4.0)
 ([#1257](https://github.com/plotly/plotly.py/issues/1257),
  [plotly/plotly.js#3211](https://github.com/plotly/plotly.js/pull/3211))
 - Fixed incorrect validation error on the `args` property of
  `layout.updatemenu.Button()` when value is a `list` that starts with a `list`
  ([#1265](https://github.com/plotly/plotly.py/issues/1265))
 - Fixed deadlock causing `plotly.io.write_image` to hang on Windows after
 exporting more than ~25 images
 ([#1255](https://github.com/plotly/plotly.py/issues/1255))
 - Fixed plot display error for `scattergl` trace with `mode='lines'` and
 more than 100k points
 ([#1271](https://github.com/plotly/plotly.py/issues/1271))
 - Fixed responsive resizing error with `iplot` in the classic notebook
 ([#1263](https://github.com/plotly/plotly.py/pull/1263))

## [3.4.0] - 2018-11-02

### Updated
 - Updated Plotly.js to version 1.42.2. Select highlights included below, see
 the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1422----2018-11-01)
 for more information.

### Added
 - Default figure properties may now be customized using figure
 templates (themes) and 7 new predefined templates are bundled with
 plotly.py
 ([#1224](https://github.com/plotly/plotly.py/pull/1224))
 - Added Parallel Categories (`parcats`) trace type for the visualization
 of multi-dimensional categorical datasets
 ([plotly/plotly.js#2963](https://github.com/plotly/plotly.js/pull/2963))
 - Added LaTeX typesetting support for figures displayed in the Jupyter
 Notebook using `plotly.offline.iplot` and `plotly.graph_objs.FigureWidget`.
 **Note:** There are still outstanding issues with MathJax rendering in FireFox,
 but it is now working well in Chrome.
 ([#1243](https://github.com/plotly/plotly.py/pull/1243))
 - Added `include_mathjax` argument to `plotly.offline.plot` to support
 the creation of HTML files with LaTeX typesetting
 ([#1243](https://github.com/plotly/plotly.py/pull/1243))
 - Added new `plotly.offline.get_plotlyjs` function that returns the
 contents of the bundled plotly.js library as a string
 ([#637](https://github.com/plotly/plotly.py/issues/637),
  [#1246](https://github.com/plotly/plotly.py/pull/1246))
 - Added new `plotly.offline.get_plotlyjs_version` function that returns
 the version of the bundled plotly.js library
 ([#1246](https://github.com/plotly/plotly.py/pull/1246))
 - HTML div strings returned by `plotly.offline.plot` now contain logic
 to automatically resize the figure responsively.  This logic was previously
 only added for html files.
 ([#1043](https://github.com/plotly/plotly.py/issues/1043),
  [#1234](https://github.com/plotly/plotly.py/pull/1234))
 - Figures displayed using `plotly.offline.iplot` in the classic Jupyter
 Notebook will now resize responsively
 ([#1234](https://github.com/plotly/plotly.py/pull/1234))
 - Added `'cdn'`, `'directory'`, and path string `include_plotlyjs` options
 in `plotly.offline.plot`
 ([#1234](https://github.com/plotly/plotly.py/pull/1234))
   - When `'cdn'`, the resulting html file/div includes a script tag reference
   to the plotlyjs cdn.
   - When `'directory'`, the resulting html file/div includes a script tag
   reference to a plotly.min.js bundle in the same directory as the html file.
   If `output_type` is `'file'` then this plotly.min.js bundle is created in
   the output directory if it doesn't already exist.
   - When a string ending with `'.js'`, the resulting html file/div includes
   a script tag that references this exact path. This can be used to point
   to a plotly.js bundle from an alternative CDN.
 - Added a new `color_threshold` argument to the `create_dendrogram` figure
 factory to control the dendrogram clustering cutoff
 ([#995](https://github.com/plotly/plotly.py/issues/995),
  [#1075](https://github.com/plotly/plotly.py/pull/1075),
  [#1214](https://github.com/plotly/plotly.py/pull/1214))
 - Added support for `autorange='reversed'` in 3D axes
 ([#803](https://github.com/plotly/plotly.py/issues/803),
  [plotly/plotly.js#3141](https://github.com/plotly/plotly.js/pull/3141))
 - Added new gl3d tick and title auto-rotation algorithm that limits text
 overlaps
 ([plotly/plotly.js#3084](https://github.com/plotly/plotly.js/pull/3084),
  [plotly/plotly.js#3131](https://github.com/plotly/plotly.js/pull/3131))
 - Added `modebar` layout style attributes:
 `orientation`, `bgcolor`, `color` and `activecolor`
 ([plotly/plotly.js#3068](https://github.com/plotly/plotly.js/pull/3068),
  [plotly/plotly.js#3091](https://github.com/plotly/plotly.js/pull/3091))
 - Added `title`, `titleposition` and `titlefont` attributes to pie traces
 ([plotly/plotly.js#2987](https://github.com/plotly/plotly.js/pull/2987))
 - Added `hoverlabel.split` attribute to `ohlc` and `candlestick` traces to
 split hover labels into multiple pieces
 ([plotly/plotly.js#2959](https://github.com/plotly/plotly.js/pull/2959))
 - Added support for `line.shape` values `'hv'`, `'vh'`, `'hvh'`
 and `'vhv'` in `scattergl` traces
 ([plotly/plotly.js#3087](https://github.com/plotly/plotly.js/pull/3087))
 - Added trace, node and link `hoverinfo` for `sankey` traces
 ([#3096](https://github.com/plotly/plotly.js/pull/3096),
  [#3150](https://github.com/plotly/plotly.js/pull/3150))
 - Added per-sector `textfont` settings in pie traces
 ([#3130](https://github.com/plotly/plotly.js/pull/3130))

### Changed
 - Use new Plotly logo in "Produced with Plotly" modebar button
 ([plotly/plotly.js#3068](https://github.com/plotly/plotly.js/pull/3068))

### Fixed
 - Plotly's use of MathJax for LaTeX typesetting no longer interferes with
 the Jupyter Notebook's use of MathJax
 ([#445](https://github.com/plotly/plotly.py/issues/445),
  [#360](https://github.com/plotly/plotly.py/issues/360))
 - Fixed several issues with the use of `reversescale=True` in the
 `create_annotated_heatmap` figure factory
 ([#1251](https://github.com/plotly/plotly.py/pull/1251))
 - Fixed case where `plotly.offline.iplot` would fail to render in the classic
 Jupyter Notebook if the notebook contained a Markdown headline with the text
 "Plotly"
 ([#816](https://github.com/plotly/plotly.py/issues/816))
 - `None` values in a `scatter.hovertext` list are now omitted from the
 hover label rather than being displayed as the string `"None"`
 ([#1244](https://github.com/plotly/plotly.py/issues/1244))
 - Subplot titles created by `plotly.tools.make_subplots` are now positioned
 properly when custom `row_width`/`column_width` arguments are specified
 ([#1229](https://github.com/plotly/plotly.py/issues/1229))
 - The `bar.width` property may now be specified as a numpy array or a pandas
 series
 ([#1231](https://github.com/plotly/plotly.py/issues/1231),
 [plotly/plotly.js#3169](https://github.com/plotly/plotly.js/pull/3169))
 - Error bars are now scaled correctly for logarithmic `scatter3d` traces
 ([#1139](https://github.com/plotly/plotly.py/issues/1139))
 - Use `uuid.uuid4` rather than `uuid.uuid1` to work around an upstream
 Python bug
  ([#1235](https://github.com/plotly/plotly.py/issues/1235),
   [#1236](https://github.com/plotly/plotly.py/pull/1236))
 - The `layout.grid.subplots` property may now be specified as a 2D list of
 subplot identifiers
 ([#1220](https://github.com/plotly/plotly.py/issues/1220),
  [#1240](https://github.com/plotly/plotly.py/pull/1240))
 - Fixed `scatter3d` text alignment
 ([#1055](https://github.com/plotly/plotly.py/issues/1055),
  [plotly/plotly.js#3180](https://github.com/plotly/plotly.js/pull/3180))

### JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:

- Python Packages
   - plotly==3.4.0
   - ipywidgets>=7.2
   - notebook>=5.3
   - jupyterlab==0.35

- JupyterLab Extensions
   - plotlywidget@0.5.0
   - @jupyter-widgets/jupyterlab-manager@0.38
   - @jupyterlab/plotly-extension@0.18

## [3.3.0] - 2018-09-28

### Updated
 - Updated Plotly.js to version 1.41.3.  Select highlights included below, see
 [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1413----2018-09-25)
 for more information.
 - Do not create or check permissions on the `~/.plotly` configuration
 directory until a configuration write operation is performed
 ([#1195](https://github.com/plotly/plotly.py/pull/1195)). This change
 avoids some concurrency problems associated with running many instances of
 plotly.py simultaneously
 ([#1068](https://github.com/plotly/plotly.py/issues/1068)).

### Added
 - Enable selection by clicking on points via new layout attribute `clickmode` and flag `'select'`
 ([#2944](https://github.com/plotly/plotly.js/pull/2944))
 - Added stacked area charts via new attributes `stackgroup` and `stackgaps` in scatter traces
 ([#2960](https://github.com/plotly/plotly.js/pull/2960))
 - Added `barpolar` trace type - which replace and augment area traces
 ([#2954](https://github.com/plotly/plotly.js/pull/2954))
 - Added `polar.hole` layout parameter to punch hole at the middle of polar
 subplot offsetting the start of the radial range
 ([#2977](https://github.com/plotly/plotly.js/pull/2977), [#2996](https://github.com/plotly/plotly.js/pull/2996))
 - Figures may now be easily converted to and from JSON using the new
 `to_json`, `from_json`, `read_json`, and `write_json` functions in the
 `plotly.io` package
 ([#1188](https://github.com/plotly/plotly.py/pull/1188))
 - Figures and graph objects now support `deepcopy` and `pickle` operations
 ([#1191](https://github.com/plotly/plotly.py/pull/1191))
 - The location of the `"~/.plotly"` settings directory may now be customized
 using the `PLOTLY_DIR` environment variable
 ([#1195](https://github.com/plotly/plotly.py/pull/1195))
 - Added optional `scaleratio` argument to the `create_quiver` figure factory.
 When specified, the axes are restricted to this ratio and the quiver arrows
 are computed to have consistent lengths across angles.
 ([#1197](https://github.com/plotly/plotly.py/pull/1197))

### Fixed
 - Replace use of `pkg_resources.resource_string` with `pkgutil.get_data` to
 improve compatibility with `cx_Freeze`
 ([#1201](https://github.com/plotly/plotly.py/pull/1201))
 - An exception is no longer raised when an optional dependency raises an
 exception on import.  The exception is logged and plotly.py continues as if
 the dependency were not installed
 ([#1192](https://github.com/plotly/plotly.py/pull/1192))
 - Fixed invalid dendrogram axis labels when the points being clustered contain
 duplicate values
 ([#1186](https://github.com/plotly/plotly.py/pull/1186))
 - Added missing LICENSE.txt file to PyPI source distribution
 ([#765](https://github.com/plotly/plotly.py/issues/765))

### JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:

- Python Packages
   - plotly==3.3.0
   - ipywidgets>=7.2
   - notebook>=5.3
   - jupyterlab==0.34

- JupyterLab Extensions
   - plotlywidget@0.4.0
   - @jupyter-widgets/jupyterlab-manager@0.37
   - @jupyterlab/plotly-extension@0.17

## [3.2.1] - 2018-09-14
This is a patch release that fixes a few bugs and reintroduces a few
version 2 features that were not supported in version 3.

The bundled version of plotly.js remains at 1.40.1

### JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:

- Python Packages
   - plotly==3.2.1
   - ipywidgets>=7.2
   - notebook>=5.3
   - jupyterlab==0.34

- JupyterLab Extensions
   - plotlywidget@0.3.0
   - @jupyter-widgets/jupyterlab-manager@0.37
   - @jupyterlab/plotly-extension@0.17

### Added
 - An optional `skip_invalid` argument has been added to the `Figure` and
  `FigureWidget` constructors. By default, `skip_invalid` is `False` and invalid
  figure properties will result in an exception (this is identical to the
  previous behavior).  When `skip_invalid` is set to `True`, invalid properties
  will instead be silently ignored. This argument replaces the `_raise`
  argument that was available in version 2, and makes it possible to import
  figure definitions from different plotly versions, where incompatible
  properties are ignored rather than causing an exception.
 - A `to_ordered_dict` method has been added to the `Figure` and `FigureWidget`
  classes. This method returns a representation of the figure as a nested
  structure of `OrdererdDict` and `list` instances where the keys in each
  `OrderedDict` are sorted alphabetically.  This method replaces the
  `get_ordered` method that was available in version 2, and makes it possible
  to traverse the nested structure of a figure in a deterministic order.

### Fixed
 - Pandas `Series` and `Index` objects storing `datetime` values were
   incorrectly cast to numeric arrays
   ([plotly/plotly.py#1160](https://github.com/plotly/plotly.py/issues/1160),
    [plotly/plotly.py#1163](https://github.com/plotly/plotly.py/pull/1163))
 - Numpy arrays with `uint64` datatype caused a `FigureWidget` error,
   and no figure was displayed
   ([plotly/plotly.py#1155](https://github.com/plotly/plotly.py/issues/1155),
    [plotly/plotly.py#1163](https://github.com/plotly/plotly.py/pull/1163))

## [3.2.0] - 2018-09-05
This release introduces the long-anticipated ability to programmatically
export figures as high quality static images in both raster and vector
formats.

### JupyterLab Versions (Python 3.5+)
For use with JupyterLab, the following versions of the following packages
must be installed:

- Python Packages
   - plotly==3.2.0
   - ipywidgets>=7.2
   - notebook>=5.3
   - jupyterlab==0.34

- JupyterLab Extensions
   - plotlywidget@0.3.0
   - @jupyter-widgets/jupyterlab-manager@0.37
   - @jupyterlab/plotly-extension@0.17

### Added
 - plotly.js version 1.40.1, which introduces the following features:
    - Allow `contour`, `contourcarpet` and `histogram2dcontour` to have corresponding legend items using `showlegend`
      ([plotly/plotly.js#2891](https://github.com/plotly/plotly.js/pull/2891),
      [plotly/plotly.js#2914](https://github.com/plotly/plotly.js/pull/2914))
    - Add scatterpolar and scatterpolargl attributes `r0`, `dr`, `theta0` and `dtheta`
      ([plotly/plotly.js#2895](https://github.com/plotly/plotly.js/pull/2895))
    - Add layout attributes `piecolorway` and `extendpiecolors` for more control over pie colors
      ([plotly/plotly.js#2870](https://github.com/plotly/plotly.js/pull/2870))
    - Add `splom` attribute `dimensions[i].axis.type` to easily override axis type in splom-generated axes
      ([plotly/plotly.js#2899](https://github.com/plotly/plotly.js/pull/2870))
    - Add support for on-graph text in `scatterpolargl` traces
      ([plotly/plotly.js#2895](https://github.com/plotly/plotly.js/pull/2895))
    - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1400----2018-08-16)
      for bug fixes and more information.
 - Support for offline static image export with the `to_image` and `write_image`
   functions in the new `plotly.io` package ([#1120](https://github.com/plotly/plotly.py/pull/1120)).
    - Note: Image export requires the plotly [orca](https://github.com/plotly/orca)
      command line utility and the [`psutil`](https://github.com/giampaolo/psutil) Python package.
 - New documentation sections covering [Static Image Export](https://plot.ly/python/static-image-export/)
   and [Orca Management](https://plot.ly/python/orca-management/)
 - Support for displaying `FigureWidget` instances in static contexts
   (e.g. [nbviewer](http://nbviewer.jupyter.org/)) just like the built-in ipywidgets
 ([#1117](https://github.com/plotly/plotly.py/pull/1117))
 - Full integration of the Cividis colorscale ([#883](https://github.com/plotly/plotly.py/pull/883))
 - conda packaging
   - From here forward, new versions of plotly.py will be published to the [plotly anaconda channel](https://anaconda.org/plotly/)
     on the same day they are published to PyPI.
     ([72ad0e4](https://github.com/plotly/plotly.py/commit/72ad0e4bf54bb8a06445d2ca55488ffc11c836a7))
   - The [`README`](packages/python/plotly-geo/README.md) now includes conda installation instructions alongside the pip instructions.
   - In addition to the existing installation approaches, orca is now also available as a
     [conda package](https://anaconda.org/plotly/plotly-orca) from the plotly anaconda channel.

### Updated
 - Show traces at the top of the Gantt chart's colorbar ([#1110](https://github.com/plotly/plotly.py/pull/1110))
 - Significantly improved validation performance for numeric pandas `Series` objects ([#1149](https://github.com/plotly/plotly.py/pull/1149))
 - Specialize auto-generated docstrings for Python syntax
 - More robust and specific logic for retrying requests to the plot.ly cloud service ([#1146](https://github.com/plotly/plotly.py/pull/1146))
 - Support basic authentication when using the streaming API behind a proxy server ([#1133](https://github.com/plotly/plotly.py/pull/1133))

### Fixed
 - Validators for `dash` properties (e.g. `scatter.line.dash`) incorrectly rejected dash length lists ([#1136](https://github.com/plotly/plotly.py/pull/1136))
 - Annotated heatmap error when custom colorscale was specified ([#1151](https://github.com/plotly/plotly.py/pull/1151))
 - Incorrect deprecation warning for deprecated `plotly.graph_objs.Annotations` class ([#1138](https://github.com/plotly/plotly.py/pull/1138))
 - Harmless JavaScript console error when opening an html file produced by `plotly.offline.plot` ([#1152](https://github.com/plotly/plotly.py/pull/1152))
 - Incorrect validation errors when writing data to the streaming API ([#1145](https://github.com/plotly/plotly.py/pull/1145))

## [3.1.1] - 2018-08-10
This release is a minor bug-fix update to version 3.1.0

### JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed:

- Python Packages
   - plotly==3.1.1
   - ipywidgets>=7.2
   - notebook>=5.3
   - jupyterlab==0.33

- JupyterLab Extensions
   - plotlywidget@0.2.1
   - @jupyter-widgets/jupyterlab-manager@0.36
   - @jupyterlab/plotly-extension@0.16

### Updated
 - Updated plotly.js to version 1.39.4.
   - This is a bug-fix release of plotly.js
   - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1394----2018-08-02) for more information

### Fixed
 - Fixed error in validation of configkeys
   [plotly/plotly.js#1065](https://github.com/plotly/plotly.py/pull/1065)
 - Fixed error in presentation of named colorscales
   [plotly/plotly.js#1089](https://github.com/plotly/plotly.py/pull/1089)
 - Fixed numerical precision error when using `plotly.tools.make_subplots`
   to create figures with a large number of subplots
   [plotly/plotly.js#1091](https://github.com/plotly/plotly.py/pull/1091)
 - Fixed problem that prevented the use of the `.update` method to initialize
   an array property (e.g. `layout.shapes`)
   [plotly/plotly.js#1091](https://github.com/plotly/plotly.py/pull/1092)
 - Fixed `FigureWidget` problem causing scroll zoom on 3D plots to stutter
   [plotly/plotly.js#1094](https://github.com/plotly/plotly.py/pull/1094)
 - Fixed invalid `tickmode` property in `matplotlylib`
   [plotly/plotly.js#1101](https://github.com/plotly/plotly.py/pull/1101)

## [3.1.0] - 2018-07-20

### JupyterLab Versions
For use with JupyterLab, the following versions of the following packages
must be installed. See [README.md](packages/python/plotly-geo/README.md) for instructions.

- Python Packages
   - plotly==3.1.0
   - ipywidgets>=7.2
   - notebook>=5.3
   - jupyterlab==0.32.1

- JupyterLab Extensions
   - plotlywidget@0.2.0
   - @jupyter-widgets/jupyterlab-manager@0.35
   - @jupyterlab/plotly-extension@0.16

### Updated
 - Updated Plotly.js to version 1.39.2
 - See highlights below
 - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1392----2018-07-16) for more information.

### Added
 - Added 3D streamtube traces
   [plotly/plotly.js#2658](https://github.com/plotly/plotly.js/pull/2658)
 - Added support for on-graph text in scattergl traces
 - Added gridshape attribute to polar subplots with values 'circular' (the default) and 'linear' (to draw polygon grids)
   [plotly/plotly.js#2739](https://github.com/plotly/plotly.js/pull/2739)

## [3.0.2] - 2018-07-17
This is a minor bug-fix release to 3.0.0

### JupyterLab plotlywidget version: 0.1.1

### Plotly.js version: 1.38.3

### Fixed
 - Several errors related to numbered subplot labels (e.g. xaxis2, polar3, etc.)
   [GH1057](https://github.com/plotly/plotly.py/pull/1057)
 - Error where the `v` property was ignored in `cone` traces
   [GH1060](https://github.com/plotly/plotly.py/pull/1060)
 - Assorted performance improvements when constructing graph objects
   [GH1061](https://github.com/plotly/plotly.py/pull/1061)

## [3.0.1] - 2018-07-17 [YANKED]
Note: This release's installation was broken. It has been removed from PyPI

## [3.0.0] - 2018-07-05

This is a major version with many exciting updates. See the [Introducing plotly.py 3.0.0](https://medium.com/@plotlygraphs/introducing-plotly-py-3-0-0-7bb1333f69c6) post for more information.

### JupyterLab plotlywidget version: 0.1.1

### Plotly.js version: 1.38.3

### Added
- Full Jupyter ipywidgets integration with the new `graph_objs.FigureWidget` class
- `FigureWidget` figures can be updated interactively using property assignment syntax
- The full trace and layout API is generated from the plotly schema to provide a great experience for interactive use in the notebook
- Support for setting array properties as numpy arrays. When numpy arrays are used, ipywidgets binary serialization protocol is used to avoid converting these to JSON strings.
- Context manager API for animation. Run `help(go.Figure().batch_animate)` for the full doc string.
- Perform automatic retries when communicating with plot.ly services. This introduces a new required dependency on the [retrying](https://pypi.org/project/retrying/) library.
- Improved data validation covering the full API with clear, informative error messages. This means that incorrect properties and/or values now always raise a `ValueError` with a description of the error, the invalid property, and the available properties on the level that it was placed in the graph object. Eg. `go.Scatter(foo=123)` raises a validation error. See https://plot.ly/python/reference/ for a reference to all valid properties and values in the Python API.
- Error message for `plotly.figure_factory.create_choropleth` is now helpful to Anaconda users who do not have the correct modules installed for the County Choropleth figure factory.

### Changed / Deprecated
Please see the [migration guid](migration-guide.md) for a full list of the changes and deprecations in version 3.0.0

## [2.7.0] - 2018-05-23
### Updated
- Updated `plotly.min.js` to version 1.38.0.
  - New features include a `3D cone` trace to visualize vector fields.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1380----2018-05-23) for additional information regarding the updates.

## [2.6.0] - 2018-05-09
### Updated
- Updated `plotly.min.js` to version 1.37.1.
  - New features include a `splom` (scatter plot matrix) trace type.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1371----2018-05-02) for additional information regarding the updates.
- Error message for `plotly.figure_factory.create_choropleth` is more helpful for Windows users on installing `geopandas` and dependencies including `shapely`.

## [2.5.1] - 2018-03-26
### Fixed
- `plotly.figure_factory.create_choropleth` now works in Windows without raising an OSError. The module now uses cross-platform path tools from `os` to manipulate and manage the shapefiles contained in this package.

## [2.5.0] - 2018-03-12
### Fixed
- `import plotly.figure_factory` does not fail if `pandas` is not installed. See  https://github.com/plotly/plotly.py/pull/958
### Added
- New parameter `fill_percent` to the `.insert` method for the dashboards API. You can now insert a box into the dashboard layout and specify what proportion of the original container box it will occupy. Run `help(plotly.dashboard_objs.Dashboard.insert)` for more information on `fill_percent`.
### Updated
- Updated `plotly.min.js` to version 1.35.2.
  - New features include adding an `automargin` attribute to cartesian axes and a layout `grids` attribute for easy subplot generation.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1352----2018-03-09) for additional information regarding the updates.
- `plotly.figure_factory.create_choropleth` has changed some of the default plotting options:
  - 'offline_mode' param has been removed from call signature.
  - Persistent selection api for the centroid points is automatically enabled. See https://plot.ly/python/reference/#scatter-selected and https://plot.ly/python/reference/#scatter-unselected for details
  - FIPS values that appear on hover are 0-padded to ensure they are 5 digits.
  - `hover_info='none'` is now default for the county lines data.

## [2.4.1] - 2018-02-21
### Fixed
- The required shapefiles to generate the choropleths via `plotly.figure_factory.create_choropleth` are now shipped in the package data.

## [2.4.0] - 2018-02-16
### Added
- County Choropleth figure factory. Call `help(plotly.figure_factory.create_choropleth)` for examples and how to get started making choropleths of US counties with the Python API.

Note: Calling `plotly.figure_factory.create_choropleth` will fail with an IOError due to missing shapefiles see: https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md#241---2018-02-21

## [2.3.0] - 2018-01-25
### Fixed
- Merged [pull request](https://github.com/plotly/plotly.py/commit/a226e07393c158e01c34c050aaf492da9d77679a) that fixes `GraphWidget` for IPython > v6
### Updated
- Updated `plotly.min.js` to version 1.33.1.
  - New plot types include a `violin` trace type.
  - New features include completely rewritten `scattergl` using `regl` and a completely rewritten polar chart renderer.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1331----2018-01-24) for additional information regarding the updates.

## [2.2.3] - 2017-12-04
### Added
-`column_width` and `row_width` parameters for `plotly.tools.make_subplots`. Call `help(plotly.tools.make_subplots)` for documentation.
### Updated
- Updated `plotly.min.js` to version 1.31.2.
  - Fixes include adjustments to `table` trace for offline plotting.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1312----2017-10-23) for additional information regarding the updates.

## [2.2.2] - 2017-11-23
### Added
- Bullet chart figure factory. Call `help(plotly.figure_factory.create_bullet)` for examples and how to get started making bullet charts with the API.

## [2.2.1] - 2017-10-26
### Fixed
- Presentation objects now added to setup.py

## [2.2.0] - 2017-10-26
### Added
- NEW Presentations API for Python! Run `help(plotly.presentation_objs.Presentations)` for help or check out the new [documentation](https://plot.ly/python/presentations-api/)

## [2.1.0] - 2017-10-10
### Updated
- Updated `plotly.min.js` to version 1.31.0.
  - New features include a `table` trace type.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1310----2017-10-05) for additional information regarding the updates.

## [2.0.16] - 2017-10-06
### Updated
- Updated `plotly.min.js` to version 1.31.0 for `plotly.offline`.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1310----2017-10-05) for additional information regarding the updates.

## [2.0.15] - 2017-08-22
### Updated
- Updated `plotly.min.js` to version 1.30.0 for `plotly.offline`.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1300----2017-08-21) for additional information regarding the updates.

## [2.0.14] - 2017-08-09
### Fixed
- [Sharekey enabling issue](https://github.com/plotly/plotly.py/issues/719) where plots were made private instead of secret.
- Issue removing rug plots from violin plots with multiple traces.

## [2.0.13] - 2017-08-04
### Updated
- Updated `plotly.min.js` to version 1.29.1 for `plotly.offline`.
  - See [the plotly.js CHANGELOG]() for additional information regarding the updates.
- `figure_factory.create_gantt` and `figure_factory.create_dendrogram` now return a Plotly figure (consistent with other figure factory chart types).
- `offline.init_notebook_mode()` is now optional when using `offline.iplot()`.

## [2.0.12] - 2017-06-30
### Updated
- Updated `plotly.min.js` to version 1.28.3 for `plotly.offline`.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1283----2017-06-26) for additional information regarding the updates.
### Added
- `figure_factory.create_facet_grid` now supports histogram, bar, and box traces.

## [2.0.11] - 2017-06-20
### Updated
- Updated `plotly.min.js` to version 1.28.1 for `plotly.offline`.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1281----2017-06-20) for additional information regarding the updates.

## [2.0.10] - 2017-06-12
### Added
- The figure_factory can now create facet grids with `.create_facet_grid`. Check it out with:
```
import plotly.figure_factory as ff
help(ff.create_facet_grid)
```

## [2.0.9] - 2017-05-30
### Fixed
- Fixes issue [https://github.com/plotly/plotly.py/issues/721](https://github.com/plotly/plotly.py/issues/721). There was an issue when running `import plotly` with old versions of the `decorator` package. We now require installations to use at least version `4.0.6` of the `decorator` package. See [https://github.com/micheles/decorator/blob/master/CHANGES.md](https://github.com/micheles/decorator/blob/master/CHANGES.md) for the `decorator` package changelog.

### Added
- 'sort' parameter to `FF.create_violin` to control whether violin plots are sorted alphabetically.

## [2.0.8] - 2017-04-21
### Added
- Beta: Added API methods that wrap the API endpoint for managing Dash objects on plot.ly. The API interface is under `plotly.api.v2.dash_apps`
- offline embedded plots are now responsive to window resizing when `output_type == "div"` is set in `plotly.offline.iplot()`.
- Offline embedded plots are now responsive to window resizing when `output_type == "div"` is set in `plotly.offline.iplot()`.
- Offline animations are now supported on Plotly Cloud.

### Updated
- Updated `plotly.min.js` to version 1.26.0 for `plotly.offline`.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md) for additional information regarding the updates.

### Updated
- `plotly.offline.plot` and `plotly.offline.iplot` now accept various [configuration options](https://plot.ly/javascript/configuration-options/) for their arguments.

## [2.0.7] - 2017-04-07
### Updated
- Updated `plotly.min.js` to version 1.25.0 for `plotly.offline`.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md) for additional information regarding the updates.

### Added
- Added check to verify the share key is enabled when secret charts are created.

## [2.0.6] - 2017-03-20
### Added
- Added a new mimetype 'text/vnd.plotly.v1+html' for `iplot` outputs.

## [2.0.5] - 2017-03-07
### Fixed
- `import plotly` was broken in `2.0.3` and `2.0.2` because the new `dashboard_objs` wasn't included in our `setup.py`'s "`packages`". Now it is and `import plotly` and the other features introduced in `2.0.3` and `2.0.2` should work.

## [2.0.4] - 2017-03-07 [YANKED]
Note: This release's installation was broken. It has been removed from PyPI
### Added
- Added `dashboard_objs` to top level import.

## [2.0.3] - 2017-03-06 [YANKED]
Note: This release's installation was broken. It has been removed from PyPI
### Added
- Dashboards can now be created using the API and uploaded to Plotly. Use `import plotly.dashboard_objs` to create a `Dashboard` object. You can learn more about `Dashboard` objects by running `help(plotly.dashboard_objs)` and `help(plotly.plotly.plotly.dashboard_ops)` for uploading and retrieving dashboards from the cloud.

## [2.0.2] - 2017-02-20
### Fixed
- Offline plots created with `plotly.offline.plot` now resize as expected when the window is resized.
- `plotly.figure_factory.create_distplot` now can support more than 10 traces without raising an error. Updated so that if the list of `colors` (default colors too) is less than your number of traces, the color for your traces will loop around to start when it hits the end.

## [2.0.1] - 2017-02-07
### Added
- Support for rendering plots in [nteract](https://nteract.io/)!
  See [https://github.com/nteract/nteract/pull/662](https://github.com/nteract/nteract/pull/662)
  for the associated PR in nteract.
- As part of the above, plotly output now prints with a [custom mimetype](https://github.com/plotly/plotly.py/blob/f65724f06b894a5db94245ee4889c632b887d8ce/plotly/offline/offline.py#L348) - `application/vnd.plotly.v1+json`
- `memoize` decorator added to `plotly.utils`

### Changed
- a `Grid` from `plotly.grid_objs` now accepts a `pandas.Dataframe` as its argument.
- computationally-intensive `graph_reference` functions are memoized.

## [2.0.0] - 2017-01-25
### Changed
- `plotly.exceptions.PlotlyRequestException` is *always* raised for network
failures. Previously either a `PlotlyError`, `PlotlyRequestException`, or a
`requests.exceptions.ReqestException` could be raised. In particular, scripts
which depend on `try-except` blocks containing network requests should be
revisited.
- `plotly.py:sign_in` now validates to the plotly server specified in your
  config. If it cannot make a successful request, it raises a `PlotlyError`.
- `plotly.figure_factory` will raise an `ImportError` if `numpy` is not
  installed.
- `plotly.figure_factory.create_violin()` now has a `rugplot` parameter which
  determines whether or not a rugplot is draw beside each violin plot.

### Deprecated
- `plotly.tools.FigureFactory`. Use `plotly.figure_factory.*`.
- (optional imports) `plotly.tools._*_imported` It was private anyhow, but now
it's gone. (e.g., `_numpy_imported`)
- (plotly v2 helper) `plotly.py._api_v2` It was private anyhow, but now it's
gone.

## [1.13.0] - 2016-12-17
### Added
- Python 3.5 has been added as a tested environment for this package.

### Updated
- `plotly.plotly.create_animations` and `plotly.plotly.icreate_animations` now return appropriate error messages if the response is not successful.
- `frames` are now integrated into GRAPH_REFERENCE and figure validation.

### Changed
- The plot-schema from `https://api.plot.ly/plot-schema` is no longer updated on import.

## [1.12.12] - 2016-12-06
### Updated
- Updated `plotly.min.js` to version 1.20.5 for `plotly.offline`.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md) for additional information regarding the updates.
- `FF.create_scatterplotmatrix` now by default does not show the trace labels for the box plots, only if `diag=box` is selected for the diagonal subplot type.

## [1.12.11] - 2016-12-01
### Fixed
- The `link text` in the bottom right corner of the offline plots now properly displays `Export to [Domain Name]` for the given domain name set in the users' `.config` file.

## [1.12.10] - 2016-11-28
### Updated
- `FF.create_violin` and `FF.create_scatterplotmatrix` now by default do not print subplot grid information in output
- Removed alert that occured when downloading plot images offline. Please note: for higher resolution images and more export options, consider making requests to our image servers. See: `help(py.image)` for more details.

### Added
- Plot configuration options for offline plots. See the list of [configuration options](https://github.com/Rikorose/plotly.py/blob/master/plotly/offline/offline.py#L189) and [examples](https://plot.ly/javascript/configuration-options/) for more information.
  - Please note that these configuration options are for offline plots ONLY. For configuration options when embedding online plots please see our [embed tutorial](http://help.plot.ly/embed-graphs-in-websites/#step-8-customize-the-iframe).
- `colors.py` file which contains functions for manipulating and validating colors and arrays of colors
- 'scale' param in `FF.create_trisurf` which now can set the interpolation on the colorscales
- animations now work in offline mode. By running `plotly.offline.plot()` and `plotly.offline.iplot()` with a `fig` with `frames`, the resulting plot will cycle through the figures defined in `frames` either in the browser or in an ipython notebook respectively. Here's an example:
```
import IPython.display
from IPython.display import display, HTML
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)

figure_or_data = {'data': [{'x': [1, 2], 'y': [0, 1]}],
                  'layout': {'xaxis': {'range': [0, 3], 'autorange': False},
                             'yaxis': {'range': [0, 20], 'autorange': False},
                  'title': 'First Title'},
                  'frames': [{'data': [{'x': [1, 2], 'y': [5, 7]}]},
                             {'data': [{'x': [-1, 3], 'y': [3, 9]}]},
                             {'data': [{'x': [2, 2.6], 'y': [7, 5]}]},
                             {'data': [{'x': [1.5, 3], 'y': [7.5, 4]}]},
                             {'data': [{'x': [1, 2], 'y': [0, 1]}],
                              'layout': {'title': 'End Title'}}]}
iplot(figure_or_data)
```
More examples can be found at https://plot.ly/python/animations/.
- animations now work in online mode: use `plotly.plotly.create_animations` and `plotly.plotly.icreate_animations` which animate a figure with the `frames` argument. Here is a simple example:
```
import plotly.plotly as py
from plotly.grid_objs import Grid, Column

column_1 = Column([0.5], 'x')
column_2 = Column([0.5], 'y')
column_3 = Column([1.5], 'x2')
column_4 = Column([1.5], 'y2')

grid = Grid([column_1, column_2, column_3, column_4])
py.grid_ops.upload(grid, 'ping_pong_grid', auto_open=False)

# create figure
figure = {
    'data': [
        {
            'xsrc': grid.get_column_reference('x'),
            'ysrc': grid.get_column_reference('y'),
            'mode': 'markers',
        }
    ],
    'layout': {'title': 'Ping Pong Animation',
               'xaxis': {'range': [0, 2], 'autorange': False},
               'yaxis': {'range': [0, 2], 'autorange': False},
               'updatemenus': [{
                   'buttons': [
                       {'args': [None],
                        'label': u'Play',
                        'method': u'animate'}
               ],
               'pad': {'r': 10, 't': 87},
               'showactive': False,
               'type': 'buttons'
                }]},
    'frames': [
        {
            'data': [
                {
                    'xsrc': grid.get_column_reference('x2'),
                    'ysrc': grid.get_column_reference('y2'),
                    'mode': 'markers',
                }
            ]
        },
        {
            'data': [
                {
                    'xsrc': grid.get_column_reference('x'),
                    'ysrc': grid.get_column_reference('y'),
                    'mode': 'markers',
                }
            ]
        }
    ]
}

py.create_animations(figure, 'ping_pong')
```

### Fixed
- Trisurf now uses correct `Plotly Colorscales` when called
- Fixed a bug in the format of unique-identifiers in columns of grids that are uploaded to plotly via `plotly.plotly.upload`. See https://github.com/plotly/plotly.py/pull/599 for details. In particular, creating plots that are based off of plotly grids is no longer broken. Here is an example:

```
import plotly.plotly as py
from plotly.grid_objs import Grid, Column

c1 = Column([6, 6, 6, 5], 'column 1')
c2 = Column(['a', 'b', 'c', 'd'], 'column 2')
g = Grid([c1, c2])

# Upload the grid
py.grid_ops.upload(g, 'my-grid', auto_open=False)

# Make a graph that with data that is referenced from that grid
trace = Scatter(xsrc=g[0], ysrc=g[1])
url = py.plot([trace], filename='my-plot')
```
Then, whenever you update the data in `'my-grid'`, the associated plot will update too. See https://plot.ly/python/data-api for more details on usage and examples.

## [1.12.9] - 2016-08-22
### Fixed
- the colorbar in `.create_trisurf` now displays properly in `offline mode`.

### Updated
- the colorbar in `.create_trisurf` now displays the appropriate max and min values on the ends of the bar which corresponding to the coloring metric of the figure
- `edges_color` is now a param in `.create_trisurf` which only takes `rgb` values at the moment

## [1.12.8] - 2016-08-18
### Fixed
- Fixed color bug with trisurf plots where certain triangles were colored strangely. The coordinates of `rgb(...)` are now rounded to their nearest integer (using Python3 method of rounding), then placed in the color string to fix the issue.

## [1.12.7] - 2016-08-17
### Fixed
- Edited `plotly.min.js` due to issue using `iplot` to plot offline in Jupyter Notebooks
  - Please note that `plotly.min.js` may be cached in your Jupyter Notebook. Therefore, if you continue to experience this issue after upgrading the Plotly package please open a new notebook or clear the cache to ensure the correct `plotly.min.js` is referenced.

## [1.12.6] - 2016-08-09
### Updated
- Updated `plotly.min.js` from 1.14.1 to 1.16.2
  - Trace type scattermapbox is now part of the main bundle
  - Add updatemenus (aka dropdowns) layout components
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md) for additional information regarding the updates

## [1.12.5] - 2016-08-03
### Updated
- `.create_trisurf` now supports a visible colorbar for the trisurf plots. Check out the docs for help:
```
import plotly.tools as tls
help(tls.FigureFactory.create_trisurf)
```

## [1.12.4] - 2016-07-14
### Added
- The FigureFactory can now create 2D-density charts with `.create_2D_density`. Check it out with:
```
import plotly.tools as tls
help(tls.FigureFactory.create_2D_density)
```

## [1.12.3] - 2016-06-30
### Updated
- Updated `plotly.min.js` from 1.13.0 to 1.14.1
  - Numerous additions and changes where made to the mapbox layout layers attributes
  - Attribute line.color in scatter3d traces now support color scales
  - Layout shapes can now be moved and resized (except for 'path' shapes) in editable contexts
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1141----2016-06-28) for additional information regarding the updates
- Updated `default-schema`

### Added
- Added `update_plotlyjs_for_offline` in makefile in order to automate updating `plotly.min.js` for offline mode

## [1.12.2] - 2016-06-20
### Updated
- Updated plotly.min.js so the offline mode is using plotly.js v1.13.0
  - Fix `Plotly.toImage` and `Plotly.downloadImage` bug specific to Chrome 51 on OSX
  - Beta version of the scattermapbox trace type - which allows users to create mapbox-gl maps using the plotly.js API. Note that scattermapbox is only available through custom bundling in this release.
  - See [the plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#1130----2016-05-26) for additional additions and updates.

### Added
- The FigureFactory can now create gantt charts with `.create_gantt`. Check it out with:
```
import plotly.tools as tls
help(tls.FigureFactory.create_gantt)
```
- Ability to download images in offline mode. By providing an extra keyword `image` to the existing plot calls, you can now download the images of the plots you make in offline mode.

### Fixed
- Fixed check for the height parameter passed to `_plot_html`, and now sets the correct `link text` for plots
generated in offline mode.

## [1.12.1] - 2016-06-19
### Added
- The FigureFactory can now create violin plots with `.create_violin`. Check it out with:
```
import plotly.tools as tls
help(tls.FigureFactory.create_violin)
```

## [1.12.0] - 2016-06-06
### Added
- Added ability to enable/disable SSL certificate verification for streaming. Disabling SSL certification verification requires Python v2.7.9 / v3.4.3 (or above). This feature can be toggled via the `plotly_ssl_verification` configuration setting.

## [1.11.0] - 2016-05-27
### Updated
- Changed the default option for `create_distplot` in the figure factory from `probability` to `probability density` and also added the `histnorm` parameter to allow the user to choose between the two options.
Note: This is a backwards incompatible change.

- Updated plotly.min.js so the offline mode is using plotly.js v1.12.0
  - Light position is now configurable in surface traces
  - surface and mesh3d lighting attributes are now accompanied with comprehensive descriptions

- Allowed `create_scatterplotmatrix` and `create_trisurf` to use divergent and categorical colormaps. The parameter `palette` has been replaced by `colormap` and `use_palette` has been removed. In `create_scatterplotmatrix`, users can now:
  - Input a list of different color types (hex, tuple, rgb) to `colormap` to map colors divergently
  - Use the same list to categorically group the items in the index column
  - Pass a singlton color type to `colormap` to color all the data with one color
  - Input a dictionary to `colormap` to map index values to a specific color
  - 'cat' and 'seq' are valid options for `colormap_type`, which specify the type of colormap being used

- In `create_trisurf`, the parameter `dist_func` has been replaced by `color_func`. Users can now:
  - Input a list of different color types (hex, tuple, rgb) to `colormap` to map colors divergently
  - Input a list|array of hex and rgb colors to `color_func` to assign each simplex to a color

### Added
- Added the option to load plotly.js from a CDN by setting the parameter `connected=True`
 in the `init_notebook_mode()` function call
- The FigureFactory can now create trisurf plots with `.create_trisurf`. Check it out with:
```
import plotly.tools as tls
help(tls.FigureFactory.create_trisurf)
```

## [1.10.0] - 2016-05-19
### Fixed
- Version 1.9.13 fixed an issue in offline mode where if you ran `init_notebook_mode`
more than once the function would skip importing (because it saw that it had
already imported the library) but then accidentally clear plotly.js from the DOM.
This meant that if you ran `init_notebook_mode` more than once, your graphs would
not appear when you refreshed the page.
Version 1.9.13 solved this issue by injecting plotly.js with every iplot call.
While this works, it also injects the library excessively, causing notebooks
to have multiple versions of plotly.js inline in the DOM, potentially making
notebooks with many `iplot` calls very large.
Version 1.10.0 brings back the requirement to call `init_notebook_mode` before
making an `iplot` call. It makes `init_notebook_mode` idempotent: you can call
it multiple times without worrying about losing your plots on refresh.

## [1.9.13] - 2016-05-19
### Fixed
- Fixed issue in offline mode related to the inability to reload plotly.js on page refresh and extra init_notebook_mode calls.

## [1.9.12] - 2016-05-16
### Added
- SSL support for streaming.

## [1.9.11] - 2016-05-02
### Added
- The FigureFactory can now create scatter plot matrices with `.create_scatterplotmatrix`. Check it out with:
```
import plotly.tools as tls
help(tls.FigureFactory.create_scatterplotmatrix)
```

## [1.9.10] - 2016-04-27
### Updated
- Updated plotly.min.js so the offline mode is using plotly.js v1.10.0
  - Added beta versions of two new 2D WebGL trace types: heatmapgl, contourgl
  - Added fills for scatterternary traces
  - Added configurable shapes layer positioning with the shape attribute: `layer`

## [1.9.9] - 2016-04-15
### Fixed
- Fixed `require is not defined` issue when plotting offline outside of Ipython Notebooks.

## [1.9.8] - 2016-04-14
### Fixed
- Error no longer results from a "Run All" cells when working in a Jupyter Notebook.

### Updated
- Updated plotly.min.js so offline is using plotly.js v1.9.0
  - Added Ternary plots with support for scatter traces (trace type `scatterternary`, currently only available in offline mode)
  - For comprehensive update list see the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md)

## [1.9.7] - 2016-04-04
### Fixed
- Offline mode will no longer delete the Jupyter Notebook's require, requirejs, and define variables.

### Updated
- Updated plotly.min.js so offline is using plotly.js v1.8.0
  - Added range selector functionality for cartesian plots
  - Added range slider functionality for scatter traces
  - Added custom surface color functionality
  - Added ability to subplot multiple graph types (SVG cartesian, 3D, maps, pie charts)
  - For comprehensive update list see the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md)

## [1.9.6] - 2016-02-18
### Updated
- Updated plotly.min.js so offline is using plotly.js v1.5.2

## [1.9.5] - 2016-01-17
### Added
- Offline matplotlib to Plotly figure conversion. Use `offline.plot_mpl` to convert and plot a matplotlib figure as a Plotly figure independently of IPython/Jupyter notebooks or use `offline.iplot_mpl` to convert and plot inside of IPython/Jupyter notebooks. Additionally, use `offline.enable_mpl_offline` to convert and plot all matplotlib figures as plotly figures inside an IPython/Jupyter notebook. See examples below:

An example independent of IPython/Jupyter notebooks:
```
from plotly.offline import init_notebook_mode, plot_mpl
import matplotlib.pyplot as plt

init_notebook_mode()

fig = plt.figure()
x = [10, 15, 20]
y = [100, 150, 200]
plt.plot(x, y, "o")

plot_mpl(fig)
```

An example inside of an IPython/Jupyter notebook:
```
from plotly.offline import init_notebook_mode, iplot_mpl
import matplotlib.pyplot as plt

init_notebook_mode()

fig = plt.figure()
x = [10, 15, 20]
y = [100, 150, 200]
plt.plot(x, y, "o")

iplot_mpl(fig)
```

An example of enabling all matplotlib figures to be converted to
Plotly figures inside of an IPython/Jupyter notebook:
```
from plotly.offline import init_notebook_mode, enable_mpl_offline
import matplotlib.pyplot as plt

init_notebook_mode()
enable_mpl_offline()

fig = plt.figure()
x = [10, 15, 20, 25, 30]
y = [100, 250, 200, 150, 300]
plt.plot(x, y, "o")
fig
```

## [1.9.4] - 2016-01-11
### Added
- Offline plotting now works outside of the IPython/Jupyter notebook. Here's an example:
```
from plotly.offline import plot
from plotly.graph_objs import Scatter

plot([Scatter(x=[1, 2, 3], y=[3, 1, 6])])
```

This command works entirely locally. It writes to a local HTML file with the necessary [plotly.js](https://plot.ly/javascript) code to render the graph. Your browser will open the file after you make the call.

The call signature is very similar to `plotly.offline.iplot` and `plotly.plotly.plot` and `plotly.plotly.iplot`, so you can basically use these commands interchangeably.

If you want to publish your graphs to the web, use `plotly.plotly.plot`, as in:

```
import plotly.plotly as py
from plotly.graph_objs import Scatter

py.plot([Scatter(x=[1, 2, 3], y=[5, 1, 6])])
```

This will upload the graph to your online plotly account.

## [1.9.3] - 2015-12-08
### Added
- Check for `no_proxy` when determining if the streaming request should pass through a proxy in the chunked_requests submodule. Example: `no_proxy='my_stream_url'` and `http_proxy=my.proxy.ip:1234`, then `my_stream_url` will not get proxied. Previously it would.

## [1.9.2] - 2015-11-30
**Bug Fix**: Previously, the "Export to plot.ly" link on
offline charts would export your figures to the
public plotly cloud, even if your `config_file`
(set with `plotly.tools.set_config_file` to the file
`~/.plotly/.config`) set `plotly_domain` to a plotly enterprise
URL like `https://plotly.acme.com`.

This is now fixed. Your graphs will be exported to your
`plotly_domain` if it is set.

## [1.9.1] - 2015-11-26
### Added
- The FigureFactory can now create annotated heatmaps with `.create_annotated_heatmap`. Check it out with:
```
import plotly.tools as tls
help(tls.FigureFactory.create_annotated_heatmap)
```
- The FigureFactory can now create tables with `.create_table`.
```
import plotly.tools as tls
help(tls.FigureFactory.create_table)
```

## [1.9.0] - 2015-11-15
- Previously, using plotly offline required a paid license.
No more: `plotly.js` is now shipped inside this package to allow
unlimited free use of plotly inside the ipython notebook environment.
The `plotly.js` library that is included in this package is free,
open source, and maintained independently on GitHub at
[https://github.com/plotly/plotly.js](https://github.com/plotly/plotly.js).
- The `plotly.js` bundle that is required for offline use is no longer downloaded
and installed independently from this package: `plotly.offline.download_plotlyjs`
is **deprecated**.
- New versions of `plotly.js` will be tested and incorporated
  into this package as new versioned pip releases;
  `plotly.js` is not automatically kept in sync with this package.

## [1.8.12] - 2015-11-02
- *Big data* warning mentions `plotly.graph_objs.Scattergl` as possible solution.

## [1.8.9] - 2015-10-11
- If you're behind a proxy, you can make requests by setting the environmental variable HTTP_PROXY and HTTPS_PROXY (http://docs.python-requests.org/en/v1.0.4/user/advanced/#proxies). This didn't work for streaming, but now it does.

## [1.8.8] - 2015-10-05
- Sometimes creating a graph with a private share-key doesn't work -
the graph is private, but not accessible with the share key.
Now we check to see if it didn't work, and re-try a few times until
it does.

## [1.8.7] - 2015-10-01
### Added
- The FigureFactory can now create dendrogram plots with `.create_dendrogram`.

## [1.8.6] - 2015-09-28
### Fixed
- Saving "world_readable" to your config file via `plotly.tools.set_config` actually works.

### Added
- You can also save `auto_open` and `sharing` to the config file so that you can forget these
  keyword argument in `py.iplot` and `py.plot`.

## [1.8.5] - 2015-09-29
### Fixed
- Fixed validation errors (validate=False workaround no longer required)

### Added
- Auto-sync API request on import to get the latest schema from Plotly
- `.`-access for nested attributes in plotly graph objects
- General `.help()` method for plotly graph objects
- Specific attribute `.help(<attribute>)` also included

### Removed
- No more *is streamable*, streaming validation.

## [1.8.3] - 2015-08-14
### Fixed
- Fixed typos in `plot` and `iplot` documentations

## [1.8.2] - 2015-08-11
### Added
- CHANGELOG
- `sharing` keyword argument for `plotly.plotly.plot` and `plotly.plotly.iplot` with options `'public' | 'private' | 'secret'` to control the privacy of the charts. Depreciates `world_readable`

### Changed
- If the response from `plot` or `iplot` contains an error message, raise an exception

### Removed
- `height` and `width` are no longer accepted in `iplot`. Just stick them into your figure's layout instead, it'll be more consistent when you view it outside of the IPython notebook environment. So, instead of this:

```
  py.iplot([{'x': [1, 2, 3], 'y': [3, 1, 5]}], height=800)
  ```

do this:

```
  py.iplot({
    'data': [{'x': [1, 2, 3], 'y': [3, 1, 5]}],
    'layout': {'height': 800}
  })
  ```

### Fixed
- The height of the graph in `iplot` respects the figure's height in layout

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