Empty pivot table with pandas data frames

Nonancourt 0
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I have checked around, but it seems I can't find this question (or at least an answer) anywhere. Say I have this data frame with empty cells

data = pd.DataFrame( {'A': {0: 'a1', 1: 'a1', 2: 'a1', 3: 'a1', 4: 'a1', 5: 'a2', 6: 'a2', 7: 'a2', 8: 'a2', 9: 'a2'}, 'B': {0: nan, 1: nan, 2: nan, 3: nan, 4: nan, 5: 'bb', 6: 'bc', 7: 'bd', 8: 'be', 9: 'bf'}, 'col': {0: 10, 1: 10, 2: 10, 3: 10, 4: 10, 5: 10, 6: 10, 7: 10, 8: 10, 9: 10}, 'C': {0: 'c1', 1: 'c1', 2: 'c1', 3: 'c1', 4: 'c1', 5: 'c2', 6: 'c2', 7: 'c2', 8: 'c2', 9: 'c2'}, 'D': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0, 8: 0, 9: 0}, 'E': {0: 'e1', 1: 'e2', 2: 'e3', 3: 'e4', 4: 'e5', 5: nan, 6: nan, 7: nan, 8: nan, 9: nan}} )

enter image description here

I'd like to pivot column values, so I'm trying:

pivot = pd.pivot_table(data, values='D', index=['A', 'B', 'C', 'E'], columns=['col'])

I'd expect something like

enter image description here

Instead, I get an empty table. Can anyone help here?

dataframe pivot-table pandas python
1 Answers
pivot = pd.pivot(data, values='D', index=['A', 'B', 'C', 'E'], columns=['col'])

If you want to reset the index you can use pivot.reset_index() which returns:

col   A    B   C    E  10
0    a1  NaN  c1   e1   0
1    a1  NaN  c1   e2   0
2    a1  NaN  c1   e3   0
3    a1  NaN  c1   e4   0
4    a1  NaN  c1   e5   0
5    a2   bb  c2  NaN   0
6    a2   bc  c2  NaN   0
7    a2   bd  c2  NaN   0
8    a2   be  c2  NaN   0
9    a2   bf  c2  NaN   0
T C Molenaar0
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