How to apply encoding in existing pandas data frame

Question

I'm using python 3.x. I need to apply encoding in my pandas data frame which contains 2391653 rows & 35 columns. I need to apply endcoding only for name column. So I tried this code

df1=df.Name.str.encode('utf-8-sig')

But df1 is storing only name column. Can you please suggest me how to apply encoding only for 1 column & remaining columns will be unchanged?

Vicastor59130 · Accepted Answer · 2020-10-12 14:13:01Z

1

You are currently creating a new dataframe df1 with only the column 'Name' of df with the encoding applied.

You should try to create a new column in df instead:

df['New_Name'] = df.Name.str.encode('utf-8-sig')

edited Oct 12, 2020 at 14:13

answered Oct 12, 2020 at 11:35

Vicastor59130

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