如果Pandas数据框中的特定列中有空值，请删除行 [英] Delete rows if there are null values in a specific column in Pandas dataframe

问题描述

是python熊猫的新手.在删除具有空值的几行时需要一些帮助.在屏幕截图中，我需要使用python pandas删除charge_per_line =-的行.谢谢!!

Am new to python pandas. Need some help with deleting few rows where there are null values. In the screenshot, I need to delete rows where charge_per_line = - using python pandas. Thanks !!

推荐答案

如果在阅读熊猫时Charge_Per_Line中的相关条目为空(NaN)，则可以使用df.dropna:

If the relevant entries in Charge_Per_Line are empty (NaN) when you read into pandas, you can use df.dropna:

df = df.dropna(axis=0, subset=['Charge_Per_Line'])

如果值是真正的-，则可以将其替换为np.nan，然后使用df.dropna:

If the values are genuinely -, then you can replace them with np.nan and then use df.dropna:

import numpy as np

df['Charge_Per_Line'] = df['Charge_Per_Line'].replace('-', np.nan)
df = df.dropna(axis=0, subset=['Charge_Per_Line'])

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