pandas 如何按列减少熊猫数据框？
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How do I columnwise reduce a pandas dataframe?
提问by The Unfun Cat
I have a dataframe as shown below:
我有一个数据框，如下所示：
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
from functools import reduce
import pandas as pd
from numpy import uint8, logical_or
df = pd.read_table(StringIO("""a b c
1 0 0
1 1 1
0 1 1
1 1 0"""), sep="\s+", dtype=uint8, header=0)
How do I columnwise reduce the dataframe?
如何按列减少数据框？
Currently I just put all the vectors in a list and reduce it, but this cannot be the most pandastic way of doing it:
目前我只是将所有向量放在一个列表中并减少它，但这不是最笨拙的方法：
gene_vectors = [df[v] for v in df]
print(reduce(logical_or, gene_vectors))
Any alternatives?
任何替代方案？
采纳答案by BushMinusZero
I believe this is the "pandastic" way to achieve this
我相信这是实现这一目标的“流行”方式
df.apply(lambda x: reduce(logical_or,x), axis=1)
although there might be other routes.
虽然可能有其他路线。
