Map integers to specific strings in a Pandas column

Question

A data frame in pandas with two columns "text", "Condition". In "Condition" column it contains numerical values for each row of "text". Values are 1,-1,0. I would like to convert these integer values to text labels, for instance, 1 for positive, -1 for negative and 0 for neutral. How can I achieve that?

Do you want to convert 1 to 'positive' and similarly to others? — Mohit Motwani, Feb 08 '19 at 10:46
yes @Mohit, that is my target for now. I have tried several ways to map but all in vain — Saud, Feb 08 '19 at 10:47
Can you add your dataframe as text instead of an image. It's easier for others to understand. — Mohit Motwani, Feb 08 '19 at 11:00

Mohit Motwani · Accepted Answer · 2019-02-08T10:50:28.253

4

If I understood you question correctly here are the following ways you can change your values.

Using Series.map:

df['condition'] = df['condition'].map({1:'positive', -1:'negative', 0:'neutral'})

Using Series.replace:

df['condition'] = df['condition'].replace({1:'positive', -1:'negative', 0:'neutral'}}

edited Feb 08 '19 at 10:50

answered Feb 08 '19 at 10:47

Mohit Motwani

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yep..! map should be faster too. :) – anky Feb 08 '19 at 10:59

Map integers to specific strings in a Pandas column

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