I am trying to group-by the values in my "value_1" column. But my last column is made up of lists. When I try to group-by using my "value_1" column, the column made up of lists disappears.
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How to pivot a dataframe with two columns with no index
I am trying to pivot my current two column dataframe which currently looks like this:I want to pivot this resulting in neither column becoming the index. My expected result is:
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Pandas: How to group by a value in column when there is list in one of the columns
I am trying to group-by the values in my "value_1" column. But my last column is made up of lists. When I try to group-by using my "value_1" column, the column made up of lists disappears.
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Mapping Dictionary Values to Pandas Data-frame Column
I have this dictionary:and this dataframe:and I want to match the values according to docId and term so it should look like this:
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I am trying to clean my dataframe such that if my "Base_2007" and "Base_2011" column contains NA, then I should completely drop that county. In my case since both Counties contains NA both of them will be dropped. Thus empty dataset will be returned. Is it possible to do something...
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I have a data-frame like I want to filter them in a priority like this: If colC == E then return E, after that check colB == D return D otherwise return colA The output is
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