Latest pandas version casts types into np types. To cast a series of integer to strings I thought astype(str) would have been enough: import pandas as pd import numpy as np list_of_str = list(pd.Series([1234, 123, 345]).to_frame()[0].unique().astype(str)) list_of_str returns [np.str_('1234'), np.str_('123'), np.str_('345')]. And also list_of_str = list(pd.Series([1234, 123, 345]).to_frame()[0].unique().astype(np.str_)) list_of_str returns [np.str_('1234'), np.str_('123'), np.str_('345')]. Is there an efficient way to cast to python type string, that does not require list comprehension, like: list_of_str = [str(s) for s in list_of_str] list_of_str that finally returns ['1234', '123', '345'] ? Continue reading...
