Use Elements In A List For Dataframe Names

I have a list like this: network = ['facebook','organic',instagram'] And I create 3 dataframes: facebook_count, organic_count, instagram_count that each type of network. facebook

Solution 1:

The most efficient solution would be to create a dictionary storing the dataframes:

d = {i + '_count': df[df.isin([i + ' installs'])] for i in network}

And to get a dataframe, do:

print(d['facebook_count'])

Output will be the facebook_count dataframe with expected values

Solution 2:

An easy fix is to use dictionary

count = {}    # creating a new dictionaryfor i inrange(len(network)+1):
    count[network[i]+'_count'] = df[df.isin([network[i]+' installs'])]

This way, you are using the name facebook_count,organic_count and instagram_count as keys of the dictionary

i.e. count['facebook_count'] = df[df.isin('facebook installs'])]