replace() 方法不适用于 Pandas DataFrame

问题描述

我查过这个问题，大多数问题都是针对更复杂的替换.但是，就我而言，我有一个非常简单的数据框作为测试虚拟对象.

I have looked up this issue and most questions are for more complex replacements. However in my case I have a very simple dataframe as a test dummy.

目的是用 nan 替换数据帧中任何位置的字符串，但这似乎不起作用(即不替换；没有任何错误).我试过用另一个字符串替换，它也不起作用.例如

The aim is to replace a string anywhere in the dataframe with an nan, however this does not seem to work (i.e. does not replace; no errors whatsoever). I've tried replacing with another string and it does not work either. E.g.

d = {'color' : pd.Series(['white', 'blue', 'orange']),
   'second_color': pd.Series(['white', 'black', 'blue']),
   'value' : pd.Series([1., 2., 3.])}
df = pd.DataFrame(d)
df.replace('white', np.nan)

输出仍然是:

      color second_color  value
  0   white        white      1
  1    blue        black      2
  2  orange         blue      3

推荐答案

您需要重新分配

df = df.replace('white', np.nan)

或传递参数 inplace=True:

In [50]:
d = {'color' : pd.Series(['white', 'blue', 'orange']),
   'second_color': pd.Series(['white', 'black', 'blue']),
   'value' : pd.Series([1., 2., 3.])}
df = pd.DataFrame(d)
df.replace('white', np.nan, inplace=True)
df

Out[50]:
    color second_color  value
0     NaN          NaN    1.0
1    blue        black    2.0
2  orange         blue    3.0

大多数 Pandas 操作返回一个副本，大多数都有参数 inplace 通常默认为 False

Most pandas ops return a copy and most have param inplace which is usually defaulted to False

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