pandas 在特性pandas.series 中将-inf 值替换为np.nan
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Replacing -inf values to np.nan in a feature pandas.series
提问by Javiss
I want to replace the -inf values in a pandas.series feature (column of my dataframe) to np.nan, but I could not make it.
我想将 pandas.series 特征（我的数据帧的列）中的 -inf 值替换为 np.nan，但我无法做到。
I have tried:
我试过了：
df[feature] = df[feature].replace(-np.infty, np.nan)
df[feature] = df[feature].replace(-np.inf, np.nan)
df[feature] = df[feature].replace('-inf', np.nan)
df[feature] = df[feature].replace(float('-inf'), np.nan)
But it does not work. Any ideas how to replace these values?
但它不起作用。任何想法如何替换这些值？
Edit:
编辑：
df[feature] = df[feature].replace(-np.inf, np.nan)
works
作品
BUT:
但：
df = df.replace(-np.inf, np.nan)
does not work.
不起作用。
回答by shivsn
it should work:
它应该工作：
df.replace([np.inf, -np.inf], np.nan,inplace=True)
回答by jpp
The problem may be that you are not assigning back to the original series.
问题可能是您没有分配回原始系列。
Note that pd.Series.replaceis notan in-place operation by default. The below code is a minimal example.
请注意，pd.Series.replace是不是默认就地操作。下面的代码是一个最小的例子。
df = pd.DataFrame({'feature': [1, 2, -np.inf, 3, 4]})
df['feature'] = df['feature'].replace(-np.inf, np.nan)
print(df)
# feature
# 0 1.0
# 1 2.0
# 2 NaN
# 3 3.0
# 4 4.0
