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Bmw Ista P V40 Download



 


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izd: I am trying to clean up a list of recipes, that is there are many of the same name (sometimes the title), e.g.: Food Item Description Cooked 1 Potatoes French 2 Potatoes French 3 Potatoes French 4 Potatoes French 5 Potatoes French 6 Potatoes French 7 Potatoes French I want to remove the duplicate Recipes. I have tried to convert the names to an ID and then count using: df.groupby(['Food Item Description', 'Cooked']).size().unstack(fill_value=0) But this did not work. A: This can be done using groupby and list comprehension. >>> df[['Food Item Description', 'Cooked']].groupby(['Food Item Description', 'Cooked']).size().unstack(fill_value=0) Food Item Description Cooked 0 1 Potatoes French 1 1 Potatoes French 2 1 Potatoes French 3 2 Potatoes French 4 2 Potatoes French 5 3 Potatoes French 6 3 Potatoes French 7 3

 

 

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Bmw Ista P V40 Download
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