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pythonpandasnumpy

Must I import both Pandas and Numpy?

For years I've used Pandas on a daily basis and often (but not nearly as frequently) use Numpy. Most of the time I'll do something like:

import pandas as pd
import numpy as np

But [EDIT: prior to pandas 2.0] there is also the option of using Numpy directly from Pandas:

df['value'] = pd.np.where(df['date'] > '2020-01-01', 1, 0)

Does anyone know if either one of these options is significantly more performant than the other?

Solution

  • pandas.np was removed in Pandas 2.0.0 and previously deprecated in Pandas 1.0.0:

    <ipython-input-631-4160e33c868a>:1: FutureWarning: The pandas.np module is
 deprecated and will be removed from pandas in a future version. 
Import numpy directly instead

    But for what it's worth, you can check that it was the same module in the source code.