Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
>>> ser = pd.Series([np.datetime64("2000-01-01")], dtype=object)
>>> type(ser.iloc[0])
numpy.datetime64
>>> type(ser.to_frame().iloc[0, 0])
pandas._libs.tslibs.timestamps.Timestamp
np.datetime64
in an object array, but a DataFrame cannot (tried also by constructing the DataFrame directly)
from pandas.api import DataFrame
from pandas.core.dtypes.inference import is_list_like
from pandas.core.dtypes.inference import is_list_like
from pandas.api import DataFrame