CODEWITHSUNDEEP
pythonpandasnumpy
elPastor
elPastor

Reputation: 8996

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?

Upvotes: 1

Views: 5056

Answers (2)

Soerendip
Soerendip

Reputation: 9156

Both are importing the same library. There should not be any performance differences. It is just an alias for the same code. However, np.array is preferable over pd.np.array because it saves you three characters to type.

Upvotes: 2

Corralien
Corralien

Reputation: 120479

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.

Upvotes: 7

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