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