读取 pandas 数据框时跳过包含特定值的特定行 [英] skip specific line that contains certain value when you read pandas data frame

问题描述

使用命令pd.read_csv读取csv时，
如何跳过一行中包含特定值的行？
如果在第50行，第55行中，第1列的值为100，那么当我读取csv文件时，我想跳过这些行。
如何将这些命令放入诸如pd.read_csv（’read.csv’）之类的读入命令中？
的总长度为300。

When you read the csv using command pd.read_csv, How do I skip the line that contains specific value in a row? If in 50th, 55th row, the 1st column has the value, 100, so I want to skip those lines when I read the csv file. How I can put those command in a read-in command like pd.read_csv('read.csv')? total length of the value is 300.

推荐答案

稍后删除它们和不读取它们有什么区别？完全没有？您可能只是做：

What is the difference between dropping them later, and not reading them at all? You might simply do:

pd.read_csv('file.csv').query('col1 != 100')

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