Consider necessary columns from complex arguments when interchanging dataframes - #4324

This PR fixes a regression from #4286, where only plain string arguments were considered as necessary columns when interchanging dataframes. This PR considers complex arguments as well (such as hover_data).

For example, running the code below resulted in ValueError: Value of 'hover_data_0' is not the name of a column in 'data_frame'. Expected one of ['petal_length', 'sepal_length'] but received: species

import numpy as np
import plotly.express as px
import polars as pl

df = px.data.iris()
px.scatter(
    pl.from_pandas(df),
    x="petal_length",
    y="sepal_length",
    hover_data=["species"],  # <-- this was unsupported
)

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