How to replace text in a column of a Pandas dataframe?
Use the vectorised str method replace:
In [30]:df['range'] = df['range'].str.replace(',','-')dfOut[30]: range0 (2-30)1 (50-290)EDIT
So if we look at what you tried and why it didn't work:
df['range'].replace(',','-',inplace=True)from the docs we see this desc:
str or regex: str: string exactly matching to_replace will be replaced with value
So because the str values do not match, no replacement occurs, compare with the following:
In [43]:df = pd.DataFrame({'range':['(2,30)',',']})df['range'].replace(',','-', inplace=True)df['range']Out[43]:0 (2,30)1 -Name: range, dtype: objecthere we get an exact match on the second row and the replacement occurs.
For anyone else arriving here from Google search on how to do a string replacement on all columns (for example, if one has multiple columns like the OP's 'range' column):Pandas has a built in replace method available on a dataframe object.
df.replace(',', '-', regex=True)
Source: Docs