`with_columns(dict)` fail silently if key exists as column about polars HOT 5 OPEN

I don't understand this issue? Can you explain more elaborately?

from polars.

It seems the issue is that Polars will "iterate" a dict, so you get just the .keys()

• #9109

So the the examples effectively become:

pl.DataFrame({"a": 1}).with_columns(["a"])

pl.DataFrame({"a": 1}).with_columns(["not_exist"])
# ColumnNotFoundError: not_exist

from polars.

The issue is the behavior of with_columns if you give a dictionary as input .
As @cmdlineluser explain, it only reads the keys of the dictionary and ignore the values. It is not really intuitive and error prone. I do not really see the purpose of the behavior. I would prefer that a dict is not a valid input of with_columns.

from polars.

This is just a side-effect of a dictionary being an Iterable, I don't believe using a dictionary is intended.

>>> list({1: 2, 3: 4})
[1, 3]

from polars.

I think we can just fix this by requiring a Sequence instead of an Iterable, no?

from polars.