Hey i am trying to filter dataframe df2 by values in dataframe df1 in columns 'Currency' and 'Type'.
df1:
Currency Type Amount
USD Buy 13003,00
EUR Sell 920,00
df2:
Currency Type Amount
USD Buy 21414,00
USD Sell 56236,00
USD Sell 15151,00
PLN Buy 1235,00
EUR Sell 951,00
EUR Buy 1451,00
EUR Buy 961,00
I want to filter df2 so it will drop rows that have the same Currency and opposite Type in df1. I am looking to get result like this:
Currency Type Amount
USD Sell 56236,00
USD Sell 15151,00
EUR Buy 1451,00
EUR Buy 961,00
One way to do it (though I'm not sure if it's the easiest):
df3 = pd.merge(df2, df1[['Currency', 'Type']], how='left', on=['Currency']).dropna()
df3 = df3[df3['Type_x'] != df3['Type_y']]
del df3['Type_y']
And in the end you can rename the Column 'Type_x' if you need to.