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Match two data sets based on item values
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Match two data sets based on item values
You can do SQL-like joins on pandas dataframes with pandas.merge()
merged_dataframe = pd.merge(subtotal_dataframe, bankwithdrawal_dataframe)
You can specify what type of join with parameter how=, default is 'inner'; on default it uses common columns as keys for join, but you can specify it with on= parameter (or with left_on and right_on= if your keys are different).

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RE: Match two data sets based on item values - by zivoni - Mar-28-2017, 07:55 PM

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