[英]filter pandas dataframe by row value
我知道如何按列值過濾數據框:
import pandas as pd
import numpy as np
from numpy.random import randn
np.random.seed(101)
df = pd.DataFrame(randn(5,4),index='A B C D E'.split(),columns='W X Y Z'.split())
print(df)
# show only rows where 'W' is positive
# here, the row for 'C' will be deleted, since df['W']['C']<0
df[df['W']>0]
但是,如何按行值過濾,例如'B'> 0?
由於df ['X'] ['B'] <= 0和df ['Y'] ['B'] <= 0,因此我想刪除X和Y列。我嘗試了以下代碼,但報告一個錯誤:
df.loc[df.loc['B']>0]
您應該在列上使用過濾器
df.loc[:,df.loc['B',:]>0]
Out[67]:
W Z
A 2.706850 0.503826
B 0.651118 0.605965
C -2.018168 -0.589001
D 0.188695 0.955057
E 0.190794 0.683509
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.