ENH: Broaden dict to Mapping as replace argument

[DavideCanton]

Feature Type

• Adding new functionality to pandas

• Changing existing functionality in pandas

• Removing existing functionality in pandas

Problem Description

Currently the replace method of Series allows only dict, but not Mapping inputs, as the DataFrame one does.

For example:

from collections.abc import Mapping
import pandas as pd


df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})

d: Mapping[int, str] = {1: "a", 2: "b", 3: "c"}

d2: Mapping[str, Mapping[int, str]] = {"A": d}
print(df.replace(d2))  # typechecks

print(df["A"].replace(d))  # works but doesn't typecheck

Feature Description

I guess it's enough to change from dict to Mapping in the type signature, since it seems to work even if the argument is not a dict (for example if it's a MappingProxyType instance).

Alternative Solutions

I guess an alternative solution is just to type ignore the replace invocation.

Additional Context

No response