diff --git a/algorithms/avx2/bool.go b/algorithms/avx2/bool.go
deleted file mode 100644
index c603649889d73a43a9ef89e1617a6149ed420869..0000000000000000000000000000000000000000
--- a/algorithms/avx2/bool.go
+++ /dev/null
@@ -1,7 +0,0 @@
-package avx2
-
-import "github.com/viterin/vek"
-
-func ToBool(x []float64) []bool {
-	return vek.ToBool(x)
-}
diff --git a/formula/if.go b/formula/if.go
new file mode 100644
index 0000000000000000000000000000000000000000..df67e9233d0b05c0aa53a055de2e8cb24903e474
--- /dev/null
+++ b/formula/if.go
@@ -0,0 +1,25 @@
+package formula
+
+import (
+	"gitee.com/quant1x/pandas"
+	"gitee.com/quant1x/pandas/stat"
+)
+
+// IF 序列布尔判断 return=A  if S==True  else  B
+func IF(S, A, B pandas.Series) pandas.Series {
+	return IFF(S, A, B)
+}
+
+// IFF 序列布尔判断 return=A  if S==True  else  B
+func IFF(S, A, B pandas.Series) pandas.Series {
+	s := S.Float()
+	a := A.Float()
+	b := B.Float()
+	ret := stat.Where(s, a, b)
+	return pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", ret)
+}
+
+// IFN 序列布尔判断 return=A  if S==False  else  B
+func IFN(S, A, B pandas.Series) pandas.Series {
+	return IFF(S, B, A)
+}
diff --git a/formula/if_test.go b/formula/if_test.go
new file mode 100644
index 0000000000000000000000000000000000000000..b45acf2d6763800628fffcd81cb1b9b918a40a04
--- /dev/null
+++ b/formula/if_test.go
@@ -0,0 +1,28 @@
+package formula
+
+import (
+	"fmt"
+	"gitee.com/quant1x/pandas"
+	"testing"
+)
+
+func TestIF(t *testing.T) {
+	S := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{1, 1, 1})
+	A := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{11, 12, 13})
+	B := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{21, 22, 23})
+	fmt.Println(IF(S, A, B))
+}
+
+func TestIFF(t *testing.T) {
+	S := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{1, 1, 1})
+	A := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{11, 12, 13})
+	B := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{21, 22, 23})
+	fmt.Println(IFF(S, A, B))
+}
+
+func TestIFN(t *testing.T) {
+	S := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{1, 0, 1})
+	A := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{11, 12, 13})
+	B := pandas.NewSeries(pandas.SERIES_TYPE_FLOAT32, "", []float32{21, 22, 23})
+	fmt.Println(IFN(S, A, B))
+}