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- #! /usr/bin/env python3
- # filter dataframe by matching regex
- # https://stackoverflow.com/questions/37080612/pandas-dataframe-filter-regex/37080814#37080814
- import pandas as pd
- data = {
- 'Company' : ['Ford','Ford','Ford','Ford','Chevy','Chevy'],
- 'Type' : ['Mercury','Lincoln','Lincoln','Econoline','Malabu','Pickups'],
- 'Profit' : [1,100,40,99,2,3]
- }
- df = pd.DataFrame(data)
- # print(df)
- # Company Type Profit
- # 0 Ford Mercury 1
- # 1 Ford Lincoln 100
- # 2 Ford Lincoln 40
- # 3 Ford Econoline 99
- # 4 Chevy Malabu 2
- # 5 Chevy Pickups 3
- # Now print only rows that have an "e" in the Type
- # preceeded by a capitol letter or has a "u"
- #
- # That's how I choose# my cars :-)
- print(df[df["Type"].str.contains('[A-Z]e|u',regex=True)])
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