Allow column-level coerce setting to override class-level coerce.

[benlindsay]

Is your feature request related to a problem? Please describe.
I have a schema where I want to coerce every column but one, because that one has a dict type, for which coercion is not supported. Currently, I need to add coerce=True to every field but that one, which is verbose and less clear than the alternative.

Describe the solution you'd like
The solution I'd prefer is to have coerce=True in the Config class, but then allow the one column-level coerce=False to override the default setting.

Describe alternatives you've considered
The alternative I've considered is the less concise workaround. That works for me, so this is not a blocker. Just a convenience request.

Additional context

Here's a script demonstrating the working solution (VerboseModel) and the failing solution I wish would work (ConciseModel).

import pandas as pd
import pandera as pa
from pandera.typing import Series


class VerboseModel(pa.DataFrameModel):
    no_coerce: Series[dict]
    yes_coerce_1: Series[int] = pa.Field(coerce=True)
    yes_coerce_2: Series[int] = pa.Field(coerce=True)
    # ...
    yes_coerce_n: Series[int] = pa.Field(coerce=True)


class ConciseModel(pa.DataFrameModel):
    no_coerce: Series[dict] = pa.Field(coerce=False)
    yes_coerce_1: Series[int]
    yes_coerce_2: Series[int]
    # ...
    yes_coerce_n: Series[int]

    class Config:
        coerce = True


df = pd.DataFrame(
    [
        {
            "no_coerce": {"some_key": "some_value"},
            "yes_coerce_1": 1,
            "yes_coerce_2": 2,
            # ...
            "yes_coerce_n": 42,
        }
    ]
)
validated_verbose = VerboseModel(df)
print(validated_verbose)
validated_concise = ConciseModel(df)  # Fails

I think this would be a breaking change so I understand if we don't want to go this route, but putting it out there just in case.