在 Python Pandas 中将管道分隔数据更改为 Dataframe
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时间：2020-09-13 21:31:21 来源:igfitidea点击:
Changing Pipe separated data to Dataframe in Python Pandas
提问by itsaruns
I have pipe-separated values like this:
我有这样的管道分隔值：
https|clients4.google.com|application/octet-stream|2296|
https|clients4.google.com|text/html; charset=utf-8|0|
....
....
https|clients4.google.com|application/octet-stream|2291|
I have to create a Pandas DataFrameout of this data, with each column given a name.
我必须DataFrame从这些数据中创建一个 Pandas ，并为每一列指定一个名称。
回答by elyase
Here you go:
干得好：
>>> import pandas as pd
>>> pd.read_csv('data.csv', sep='|', index_col=False,
names=['protocol', 'server', 'type', 'value'])
Out[7]:
protocol server type value
0 https clients4.google.com application/octet-stream 2296
1 https clients4.google.com text/html; charset=utf-8 0
2 https clients4.google.com application/octet-stream 2291
