Bool and missing values in pandas

Q1: I would start with combining

np.any(pd.isna(boolean))

to identify if there are any None Values in a column, and with

set(boolean)

You can identify, if there are only True, False and Nones inside. Combining with filtering (and if you prefer to also typcasting) you should be done.

Q2: see comment of @WeNYoBen

I've hit the same problem. I came up with the following solution:

from pandas import Series
def is_boolean_series(col: Series):
    val = col[~col.isna()].iloc[0]
    return type(val) == bool