import pandas as pd
data1 = {"a":[1.,3.,5.,2.],
"b":[4.,8.,3.,7.],
"c":[5.,45.,67.,34]}
df1 = pd.DataFrame(data1)
print(df1)
a b c
0 1.0 4.0 5.0
1 3.0 8.0 45.0
2 5.0 3.0 67.0
3 2.0 7.0 34.0
df2=df1.sum(axis=1)# 按行相加
print(df2)
0 10.0
1 56.0
2 75.0
3 43.0
dtype: float64
print(df1.div(df2, axis='rows'))#每一行除以对应的向量
a b c
0 0.100000 0.400000 0.500000
1 0.053571 0.142857 0.803571
2 0.066667 0.040000 0.893333
3 0.046512 0.162791 0.790698
python dataframe每一行除以该行的综合,即每一行元素标准化。
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转载自blog.csdn.net/qq_41000421/article/details/85247633
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