Effective Data Manipulation with pandas/

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NaN Values in Series

NaN Values in Series

Learn how NaN values work in series.

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The NaN value

A value that may be familiar to NumPy users, but not Python users in general, is NaN. When pandas determines that a series holds numeric values but cannot find a number to represent an entry, it will use NaN. This value stands for “Not A Number” and is usually ignored in arithmetic operations. (Similar to NULL in SQL.)

Here’s a series that has NaN in it:

Python 3.8
import pandas as pd
import numpy as np
nan_series = pd.Series([2, np.nan], index=['Ono', 'Clapton'])
print(nan_series)

Note: One thing to note is that the type of this Series is float64, not int64 ...