Get types and date columns from a Pandas DataFrame. Same format used in read_csv.

Get types and date columns from a Pandas DataFrame.py

def get_types_dates(df):
    cols_names = list(df)
    cols_types = df.dtypes
    dates = []
    types = {}
    for i in range(len(cols_names)):
        name = cols_names[i]
        type_ = cols_types[i].name
        if type_[:4] == 'date':
            dates.append(name)
        else:
            types[name] = type_
    return types, dates