How can I transform Tab 1 to Tab2
df = pd.DataFrame({'A': [3, 5], 'B': [4, 6], 'Z': [6, 8]}, index=[1, 100])
I suppose pandas df.melt
might help, but I'm not sure
You can flatten your dataframe and manipulate index to get expected output:
out = (df.unstack().sort_index(level=1)
.set_axis([f'{j}{i}' for i in df.index for j in df.columns])
.rename_axis('var').rename('val').reset_index())
Output:
>>> out
var val
0 A1 3
1 B1 4
2 Z1 6
3 A100 5
4 B100 6
5 Z100 8