Python pandas apply 将函数应用到各行和各列

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pandas apply 将函数应用到各行和各列

import pandas as pd
import numpy as np

df = pd.DataFrame(np.arange(9).reshape(3,3),columns=list("ABC"))
df

df.apply(lambda x:x.sum())

A     9
B    12
C    15
dtype: int64

df.apply(lambda x:x.sum(),axis=1)

0     3
1    12
2    21
dtype: int64

help

help(df.apply)

Help on method apply in module pandas.core.frame:

apply(func, axis=0, raw=False, result_type=None, args=(), **kwds) method of pandas.core.frame.DataFrame instance
    Apply a function along an axis of the DataFrame.
    
    Objects passed to the function are Series objects whose index is
    either the DataFrame's index (``axis=0``) or the DataFrame's columns
    (``axis=1``). By default (``result_type=None``), the final return type
    is inferred from the return type of the applied function. Otherwise,
    it depends on the `result_type` argument.
......

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