"Create new data frames from existing data frame based on unique column values" Code Answer's

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Create new data frames from existing data frame based on unique column values

Courageous Copperhead on Apr 17, 2021

import pandas as pd

df = pd.DataFrame({
    "company_id": ["AA", "AB", "AA", "CD", "AB"],
    "company_score": [.07, .08, .06, .0003, .09],
    "company_region": ["NW", "NE", "NW", "NW", "NE"]})

# Approach 1
dict_of_companies = {k: v for k, v in df.groupby('company_id')}

# Approach 2
dict_of_companies = dict(tuple(df.groupby("company_id")))

import pprint
pprint.pprint(dict_of_companies)

Source: datascience.stackexchange.com

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"Create new data frames from existing data frame based on unique column values" Code Answer's