Create different dataframe from one given condition

Asked Sep 19 '18 at 11:26

Active Sep 19 '18 at 15:32

Viewed 40 times

I have a dataset like this:

I want to create a dataframe for each type of COD_VARIABLE, for instance I want a dataframe called 179(doesnt matter the name ofc) with all the rows that have 179 on COD_VARIABLE, and so on with the other values of COD_VARIABLE.

I know how to do it one by one but would be useful to know how to make a function of for loop that does it.

I checked this but it doesnt help me: Create multiple dataframes in loop

edited Sep 19 '18 at 15:32

Brian Tompsett - 汤莱恩

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asked Sep 19 '18 at 11:26

Enterrador99

Filter/Subset the dataframe on unique rows of COD_Variable – Rahul Agarwal Sep 19 '18 at 11:29
Finally did it: unique_codvariable = empresas.COD_VARIABLE.unique() dfs_codvariable = {'df_{}'.format(r): empresas[empresas.COD_VARIABLE == r] for r in unique_codvariable} – Enterrador99 Sep 19 '18 at 11:41

Create different dataframe from one given condition

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