如果在Python中比较两个数据框的条件

如果在Python中比较两个数据框的条件

您比较的是数组，没有标量，因此Camparing的输出是另一个数组。所以需要

any

还是

all

。也需要两者的长度

Series

相同：

df1 = pd.Dataframe({'A':[1,2,3]})print (df1)   A0  11  22  3df2 = pd.Dataframe({'B':[1,2,0]})print (df2)   B0  11  22  0print (df1['A']<= df2['B'])0     True1     True2    Falsedtype: bool#check if at least one Trueprint ((df1['A']<= df2['B']).any())True#check if all values are Trueprint ((df1['A']<= df2['B']).all())Falseif (df1['A']<= df2['B']).any():       print("at least one value True")else:       print("no False values")at least one value Trueif (df1['A']<= df2['B']).all():       print("all values True")else:       print("not all values True")not all values True

---

df1 = pd.Dataframe({'A':[1,2,3]})print (df1)   A0  11  22  3df2 = pd.Dataframe({'B':[1,2,3]})print (df2)   B0  11  22  3print (df1['A']<= df2['B'])0    True1    True2    Truedtype: bool#check if at least one Trueprint ((df1['A']<= df2['B']).any())True#check if all values are Trueprint ((df1['A']<= df2['B']).all())Trueif (df1['A']<= df2['B']).any():       print("at least one value True")else:       print("no False values")at least one value Trueif (df1['A']<= df2['B']).all():       print("all values True")else:       print("not all values True")all values True