I have a Dataframe with the following column:
I am trying to remove all spaces (leading, trailing, and in-between). For example, 'Low Potential' should show as 'LowPotential'. I have tried the following code but it did not appear to work:
df_merged_1['Priority Type'] = df_merged_1['Priority Type'].replace(' ', '')
Any help is greatly appreciated!
You can use str.replace
method; The Series.replace method is meant to replace values literally (exact match), i.e, replace a value which is a whitespace in the series instead of stripping the white space from the string:
df_merged_1['Priority Type'] = df_merged_1['Priority Type'].str.replace(' ', '')
Alternatively, you can specify regex=True
in the replace method:
df_merged_1['Priority Type'] = df_merged_1['Priority Type'].replace(' ', '', regex=True)