I have two different dataframes
df1 looks like this
Item Number UOM Contract Cost Quantity
600543 CS 54.65 10
300216 EA 45.79 15
401799 CS 118.03 67
df2
Item Number UOM New Contract Cost
600543 EA 52.78
300216 CS 42.90
401799 CS 140.00
I need to merge the two dataframes so that if 'Item Number' and 'UOM' match, the two rows are combined. For the example dataframes above, my expected output would be:
df3
Item Number UOM Contract Cost Quantity New Contract Cost
401779 CS 118.03 67 140.00
If both parameters are not met, I don't want it included in the new dataframe. Very new to this. I have successfully done an inner merge based on a single column name, but can't figure out how to combine that second parameter. Thanks in advance!
that must be:
df3 = df1.merge(df2, on=["UOM","Item Number"])
Look at how "on" is defined here:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.merge.html
And by default, merge will do a inner join, so you will only have matching records
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