Python. Change numeric data into categorical

Asked Jan 17 '20 at 23:44

Active Jan 17 '20 at 23:57

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i have got some dataset with column that is consist of only numeric variables and new column which i have to fill with categorical data that is connected with this variables ,let's name this column just "new_data"

0      12.6
1       6.9
2      24.6
3      10.9
4      27.8

How I can transform it to categorical (for ex. if data[i]<=17 then new_data[i]="low",if data[i]>17 and data[i]<24 then new_data[i]="average" and if data[i]>24 then new_data[i]="high") with the help of special functions from sklearn or pandas without using loops. thank you

edited Jan 17 '20 at 23:57

asked Jan 17 '20 at 23:44

Roman Garayev

What's `a`/`b`/`amd`/`c`? Please improve clarity of your question. – thushv89 Jan 17 '20 at 23:48
@thushv89 i have edited my question, please look through – Roman Garayev Jan 17 '20 at 23:59
Add a new column based on that compound condition. – Prune Jan 18 '20 at 00:02
@thushv89 but i want to use some function from sklearn or pandas – Roman Garayev Jan 18 '20 at 00:06
@thushv89 also may be you know how i can use a lambda there – Roman Garayev Jan 18 '20 at 00:14

Python. Change numeric data into categorical

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