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I am quite new to Numpy and Python.

Two different shapes for an input array, it's either

  • 24, 18, 2431
  • 9, 17, 2431

How can I convert to a Pandas data frame without using Panel (It's removed from Pandas 0.25.0). The output should look something like

index | A | B | C

0 | A_value | B_value | C_value

1 | A_value | B_value | C_value

2 | A_value | B_value | C_value

3 | A_value | B_value | C_value

4 | A_value | B_value | C_value
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  • The question is: how do you want to convert this: should it stop when the first array stops (so 18 rows for the first one, 9 for the second), or some sort of way to resolve this? Commented Jul 27, 2019 at 14:28
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    possible duplicate of stackoverflow.com/questions/36235180/… Commented Jul 27, 2019 at 14:31
  • @WillemVanOnsem The thing is we can get different combinations so the idea is to have 24 x 18 x 2431 = 1,050,192 number of items in the data frame. Commented Jul 27, 2019 at 14:32
  • @VinayHegde Thanks so much for pointing this out. The answer used in the link your provided uses Panel which is removed in Pandas 0.25.0. Commented Jul 27, 2019 at 14:33
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    Is (A, B, C) supposed to be a shape? Because then your dataframe doesn't make sense, having dimension (sizes) as column header and values. Commented Jul 27, 2019 at 14:41
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