Feb-24-2017, 12:58 PM
"wildcard" is little vague - pandas' replace is made on top of standard python re.sub, so you can use exactly same regular expressions you would use for re.sub and python re documentation is your friend.
pandas dataframe.replace regex
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pandas dataframe.replace regex
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| Messages In This Thread |
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pandas dataframe.replace regex - by metalray - Feb-24-2017, 09:36 AM
RE: pandas dataframe.replace regex - by zivoni - Feb-24-2017, 10:37 AM
RE: pandas dataframe.replace regex - by metalray - Feb-24-2017, 12:45 PM
RE: pandas dataframe.replace regex - by zivoni - Feb-24-2017, 12:58 PM
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