Question

我想在满足条件时删除行：我需要删除特定列中小于零的任何值。

例如，我导入一个csv文件：

import pandas as pd
df=pd.read_csv('Surface_Time_PS.csv') 
df.drop_duplicates(subset='DEPTH',keep='first',inplace=True) #DROP ANY DUPLICATION IN DEPTH 

df['Difference1']=df['DEPTH(ft)'].diff()
df['Difference1']

for x in "df.Difference1":
    if [df['Difference1'].diff() < 0]:
        df.drop(df[df['Difference1'].diff() < 0].index, inplace=False)           #FUNCTION WHERE IS THE DIFF IN DEPTH IS MUST BE POSITIVE OTHER WISE DROP THE row
    else:
        df

运行此代码后，我除去了drop1差值为1的大多数行。但是我仍然没有什么负面价值。

我希望代码重复该过程，直到该列只有正值为止

Answer 1

删除循环语句并将此行放在下面：

df.drop(df[df['Difference1'] < 0].index, inplace=True)

删除基于条件Python Pandas的行

1 个答案: