[英]How to remove special character with brackets from pandas data frame
I have a columns values like this 'Voice_DropRate_4G(%)' so I need to be like this in the dataframe, just remove this '(%)' from all columns names, and I want also to replace the upper case letter with a lower case letter to be the final result like this in the data frame voice_droprate_4g
我有一个像'Voice_DropRate_4G(%)'这样的列值,所以我需要在数据框中像这样,只需从所有列名中删除这个'(%)',我还想用小写字母替换大写字母在数据帧voice_droprate_4g
大小写字母是这样的最终结果
as I tried to use this line to remove unneeded characters by using Replace
function like the below code..因为我尝试使用此行通过使用如下代码的Replace
功能来删除不需要的字符..
dft.columns = dft.columns.str.replace('(%)', '')
but it's doesn't remove the brackets it's shows me like this 'Voice_DropRate_4G()', So any one have any Idea how to solve this issue....但它并没有删除它向我展示的括号,就像这样的“Voice_DropRate_4G()”,所以任何人都知道如何解决这个问题......
Thank you...谢谢...
Because ()
are special regex chars you need escape it by \\
, then convert values to lowercase:因为()
是特殊的正则表达式字符,您需要通过\\
对其进行转义,然后将值转换为小写:
dft.columns = dft.columns.str.replace('\(%\)', '').str.lower()
Sample :样品:
dft = pd.DataFrame(columns=['Voice_DropRate_4G(%)','Voice_DropRate_5G(%)'])
dft.columns = dft.columns.str.replace('\(%\)', '').str.lower()
print (dft)
Empty DataFrame
Columns: [voice_droprate_4g, voice_droprate_5g]
Index: []
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