[英]Replace string in pandas.DataFrame
所以我要替换所有的"."
在我的DataFrame中使用"-"
。
例如,
Symbol Company Sector
230 TRP TransCanada Corporation Energy
231 TCL.A Transcontinental Inc. Industrials
像这样
Symbol Company Sector
230 TRP TransCanada Corporation Energy
231 TCL-A Transcontinental Inc. Industrials
我尝试了一些方法,但似乎不起作用,例如stock_frame['Symbol'].apply(lambda x: x.replace(".","-"))
谢谢
改用Symbol Series的str方法怎么样?
Python 2.7.8 (default, Sep 30 2014, 15:34:38) [GCC] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> tickers = [('TRP', 'TransCanada Corporation', 'Energy'), ('TCL.A', 'Transcontinental Inc.', 'Industrials')]
>>> tickers
[('TRP', 'TransCanada Corporation', 'Energy'), ('TCL.A', 'Transcontinental Inc.', 'Industrials')]
>>> tickers_df = pd.DataFrame(tickers, columns=['Symbol', 'Company', 'Sector'])
>>> tickers_df
Symbol Company Sector
0 TRP TransCanada Corporation Energy
1 TCL.A Transcontinental Inc. Industrials
>>> tickers_df.Symbol= tickers_df.Symbol.str.replace('.','-')
>>> tickers_df
Symbol Company Sector
0 TRP TransCanada Corporation Energy
1 TCL-A Transcontinental Inc. Industrials
>>>
您还可以使用熊猫自己的替换功能 ..
重建示例DataFrame:
stock_frame = pd.DataFrame({
'Symbol': ['TRP', 'TCL.A'],
'Company': ['TransCanada Corporation', 'Transcontinental Inc.'],
'Sector': ['Energy', 'Industrials']})
现在运行replace命令。
stock_frame['Symbol'].replace({"\.": "-"}, regex=True, inplace=True)
结果正是您要寻找的。
Symbol Company Sector
0 TRP TransCanada Corporation Energy
1 TCL-A Transcontinental Inc. Industrials
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