KeyError:Pandas数据框中的False [英] KeyError: False in pandas dataframe

问题描述

import pandas as pd

businesses = pd.read_json(businesses_filepath, lines=True, encoding='utf_8')
restaurantes = businesses['Restaurants' in businesses['categories']]

我想删除类别列中没有餐厅的行，并且此列具有列表，但是给出了错误"KeyError:False"，我想了解为什么以及如何解决.

I would like to remove the lines that do not have Restaurants in the categories column, and this column has lists, however gave the error 'KeyError: False' and I would like to understand why and how to solve.

推荐答案

表达式'Restaurants' in businesses['categories']返回布尔值False.这将传递给DataFrame业务的方括号索引运算符，该运算符不包含名为False的列，因此会引发KeyError.

The expression 'Restaurants' in businesses['categories'] returns the boolean value False. This is passed to the brackets indexing operator for the DataFrame businesses which does not contain a column called False and thus raises a KeyError.

您要执行的操作就是布尔索引，它的工作原理如下.

What you are looking to do is something called boolean indexing which works like this.

businesses[businesses['categories'] == 'Restaurants']

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