ENH: allow for top and mid-level assignment to DataFrames with MultIndex columns #7475 #36755
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black pandas
git diff upstream/master -u -- "*.py" | flake8 --diff
This allows for one to assign to the top and mid-levels of DataFrame columns. To do so, it adds another fallback execution path to
__setitem__
. The logic is:__setitem__
, if the other existing paths don't apply, there is a single key, and the columns are a MultiIndex, pass to_setitem_multilevel
. Here, assign if the key exists in the columns. Otherwise, use the new functionappend_block
to assign multiple columns at once._setitem_array
, as a fallback, if the length of the assigning key equals the length of the top level of the value columns, recurse these back onto__setitem__
. This allows for higher level list assignments.I've also added some tests of the functionality in various cases. Any comments much appreciated.