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如何在熊猫中有条件地从不同的列中进行选择

[英]How to select from different columns conditionally in pandas

I have an pandas DataFrame like shaped Nx5 我有一个像Nx5形状的熊猫DataFrame

['','','A','','']
['','C','','','']
['','A','','','']
['','','','T','']
.
.
.

I want to convert it to Nx1 shape getting non-empty values 我想将其转换为Nx1形状以获得非空值

['A']
['C']
['A']
['T']
.
.
.

How can that be done? 那怎么办?

You can call "".join for every row: 您可以为每一行调用"".join

df.apply("".join, axis=1)

If you are not sure every row has only one not empty value, following method is better: 如果不确定每一行只有一个非空值,则以下方法更好:

import pandas as pd

df = pd.DataFrame(
    [['','','A','',''],
    ['','C','','',''],
    ['','A','','',''],
    ['','','','T','']]
)

s = df.stack()
print s[s!=""]

output: 输出:

0  2    A
1  1    C
2  1    A
3  3    T
dtype: object

for more than one column: 超过一栏:

r = s[s!=""]
r.groupby(level=0).apply(pd.DataFrame.reset_index, drop=True).unstack()

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