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README
Apache-2.0

欢迎来到MindSpore Pandas

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MindSpore Pandas介绍

概述

MindSpore Pandas使用分布式计算引擎来加速Pandas运算,与现有Pandas代码无缝集成和兼容,使用MindSpore Pandas进行计算,可以使用计算机上所有的CPU核心,这使得MindSpore Pandas在处理较大的数据集上效果特别好。

总体架构

MindSpore Pandas采用分布式实现,而原生Pandas是基于单线程实现的。这意味着每次只能使用一个CPU核。

然而,MindSpore Pandas能使用机器上更多的线程和内核,或者整个集群的所有内核。

详细架构设计,请参阅官网文档

安装方式

确认系统环境信息

下表列出了安装、编译和运行MindSpore Pandas所需的系统环境:

软件名称 版本
Linux-x86_64操作系统 Ubuntu >=18.04
Euler >=2.9
Python 3.8-3.9
glibc >=2.25
  • 请确保环境中安装了libxml2-utils。
  • 其他的第三方依赖请参考requirements文件

pip安装

请从MindSpore Pandas下载页面下载whl包,使用pip指令安装。

在联网状态下,安装whl包时会自动下载MindSpore Pandas安装包的依赖项(依赖项详情参见requirement.txt),其余情况需自行安装。

源码安装

下载源码,下载后进入mindpandas目录,运行build.sh脚本。

git clone https://gitee.com/mindspore/mindpandas.git
cd mindpandas
bash build.sh

编译完成后,whl包在output目录下,使用pip安装:

pip install output/mindpandas-0.1.0-cp38-cp38-linux_x86_64.whl

验证安装是否成功

在shell中执行以下命令,如果没有报错No module named 'mindpandas',则说明安装成功。

python -c "import mindpandas"

快速入门

首先通过如下命令导入MindSpore Pandas。

import mindpandas as pd

通过如下命令设置MindSpore Pandas的运行模式,这样可以加快您的MindSpore Pandas工作流程。

pd.set_concurrency_mode('multithread')

完整示例如下:

>>> import mindpandas as pd
>>> pd.set_concurrency_mode('multithread')
>>> pd.set_partition_shape((16, 2))
>>> pd_df = pd.DataFrame([[1, 2, 3], [4, 5, 6]])
>>> sum = pd_df.sum()
>>> print(sum)
0 5
1 7
2 9
Name: sum, dtype: int64

文档

有关安装指南、教程和API的更多详细信息,请参阅用户文档

贡献

欢迎参与贡献。更多详情,请参阅我们的贡献者Wiki

版本说明

版本说明请参阅RELEASE

许可证

Apache License 2.0

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简介

MindSpore Pandas is a data analysis framework, which is compatible with Pandas interfaces and provides distributed processing capabilities. 展开 收起
Python 等 2 种语言
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