Identifying non-numeric values in a DataFrame column containing numerics

df.loc[
    df ["col_name"].dropna().astype(str).str.contains(r'[a-z]')
]["col_name "].unique()

dropna() is needed where the column contains NaNs, to fend off an error.

astype() is needed to force numerics to be treated as strings.