从系列中删除非数值 [英] Remove non numeric values from a Series

问题描述

我有一个熊猫系列，其中包含多个不同的数据类型.我想过滤掉所有非数字元素.结果系列应只包含浮点数或整数.

I have a pandas Series containing multiple different datatypes. I want to filter out all elements which are not numeric. The resulting Series should only contain floats or ints.

是否有一种简单的方法来过滤系列?我发现大多数解决方案仅适用于DataFrames.

Is there a simple way to filter the Series? Most solutions I found only worked with DataFrames.

推荐答案

更新:

In [43]: s
Out[43]:
0       0
1       1
2    str1
3     NaN
4       3
5       5
6    str2
7       4
8     NaN
dtype: object

转换为数字:

In [44]: pd.to_numeric(s, errors='coerce')
Out[44]:
0    0.0
1    1.0
2    NaN
3    NaN
4    3.0
5    5.0
6    NaN
7    4.0
8    NaN
dtype: float64

删除NaN:

In [45]: pd.to_numeric(s, errors='coerce').dropna()
Out[45]:
0    0.0
1    1.0
4    3.0
5    5.0
7    4.0
dtype: float64

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