pandas df.describe()，是否可以逐行执行而不进行转置? [英] Pandas df.describe() , is it possible to do it by row without transposing?

问题描述

Pandas df.describe() 是查看df的非常有用的方法.但是，它按列进行描述，而我想对行进行概述.有什么方法可以使它在不移置df的情况下"by_row"工作?

Pandas df.describe() is a very useful method to have an overview of your df. However, it describes by columns and I would like to have an overview of the rows instead. Is there any way to make it work "by_row" without transposing the df?

推荐答案

使用apply并传递axis=1来逐行调用describe:

Use apply and pass axis=1 to call describe row-wise:

In [274]:
df = pd.DataFrame(np.random.randn(4,5))
df

Out[274]:
          0         1         2         3         4
0  0.651863  0.738034 -0.477668 -0.561699  0.047500
1 -1.565093 -0.671551  0.537272 -0.956520  0.301156
2 -0.951549  2.177592  0.059961 -1.631530 -0.620173
3  0.277796  0.169365  1.657189  0.713522  1.649386

In [276]:
df.apply(pd.DataFrame.describe, axis=1)

Out[276]:
   count      mean       std       min       25%       50%       75%       max
0      5  0.079606  0.609069 -0.561699 -0.477668  0.047500  0.651863  0.738034
1      5 -0.470947  0.878326 -1.565093 -0.956520 -0.671551  0.301156  0.537272
2      5 -0.193140  1.458676 -1.631530 -0.951549 -0.620173  0.059961  2.177592
3      5  0.893451  0.722917  0.169365  0.277796  0.713522  1.649386  1.657189

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