Data destruction during conversion to dataframe of nested arrays #3694
Description
Version of Awkward Array
2.8.9
Description and code to reproduce
Consider the following example:
>>> xxx = {
"x": ["abc", "FG_12345"],
"y": [None, ["g1", "g2"]]
}
>>> print(ak.to_dataframe(ak.Array(xxx)))
x y
entry subentry
1 0 FG_12345 g1
1 FG_12345 g2
As you can see, the "abc" data is completely lost during this conversion. This seems like a bug to me. I think that a more reasonable result would be
x y
entry subentry
0 0 abc nan
1 0 FG_12345 g1
1 FG_12345 g2