python - Filter pandas Dataframe based on max values in a column -


I have a dataframe with values ​​repetitive in the index. I have used only one index to filter this dataset below I show an example by selecting the row in the index with the largest value in a different column. For example, my datafree looks like this:

df: 

  Product ID Store Sale 1A 50 1B 200 1C 202A400BB103 A 200 4A 50 4B 100 4C500

I would like to filter this data on:

df2: 

  Product ID Store Sales 1B 200 2A 400 3A 200 4C500

Any ideas on how best to reach this issue in pandas?

Thank you Your Time -

You can add a Group, , then apply the idxmax to the 'Sales' column. It will prepare a series with the highest values ​​index. We can then use the index code in the original dataframe in the iloc 

  [201]: df.iloc [df.groupby ('Product ID') [ 'Sales']. AGG (Pdseries idxmx)] Out [201]: Product_ID Store Sale 1 1B 200 3 2A 400 5 3A 200 8 4C500

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