python - 如果一列中有特定值，如何导入 csv 跳过行？

Question

Python n00b，在这里。我正在处理 csv 文件中的事件数据。我正在编写一个脚本来更改列的顺序，并按时间排序。脚本的那部分有效，但我想根据一列的值过滤掉某些行:

Description   Date     Start End   Location         Organization
Meeting       2/14/14  9:00  9:30  Conference Room  Org1
Meeting       2/14/14  9:30  10:00 Conference Room  Org2

如果我不想要 Org1，我该如何过滤掉该组 session 的行。

我正在使用 Pandas :

import pandas as pd
df = pd.read_csv('day_of_the_week.csv')
df = df.sort('MEETING START TIME')
#saved_column = df.column_name #you can also use df['column_name']
location = df.LOCATION
date = df.DATE
starttime = df['MEETING START TIME']
endtime = df['MEETING END TIME']
description = df.DESCRIPTION
organization = df.ORGANIZATION

#write new csv file with new order of columns
df.to_csv('Full_List_sorted.csv', cols=["DATE","MEETING START TIME","MEETING END TIME","DESCRIPTION","ORGANIZATION","LOCATION"],index=False)

谢谢

Answer 1

要从 df 中过滤掉这些行，请执行以下操作:

df = df[df["Organization"]!="Org1"]

此外，如果它有帮助(我这周才开始使用 Pandas)，这里有一个非常快速和不错的教程:

http://manishamde.github.io/blog/2013/03/07/pandas-and-python-top-10/ (那不是我!)