Provide flattening option to flat into columns about root_pandas HOT 5 CLOSED

Can't this already be done by using the noexpand: prefix and accessing the elements separately, like this:

columns = [
  'noexpand:cog[0]',
  'noexpand:cog[1]',
  'noexpand:cog[2]',
]
data = read_root('data.root', columns=columns)

This also seems more flexible, because you can choose which elements you'd like to keep.

from root_pandas.

For me this solution only works with :
columns = [
'noexpand:cog[0]',
'noexpand:cog[1]',
'noexpand:cog[2]',
]
data = read_root('data.root', columns=columns,flatten=True)

and I have a useless __array_index column which is always = 0.

If I don't use flatten I get the warning
UserWarning: Ignored the following non-scalar branches: cog[0], cog[1]

from root_pandas.

@maxnoe, OK if we close this task at this point? It's been almost 2 years … maybe you are aware that this package has effectively been superseded by https://github.com/scikit-hep/uproot?

from root_pandas.

Yes I am ;)

from root_pandas.

Thanks a lot for the speedy reply, @maxnoe.

from root_pandas.