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Python Pandas - Fill NaN with Polynomial Interpolation
To fill NaN with Polynomial Interpolation, use the interpolate() method on the Pandas series. With that, set the “method” parameter to “polynomial”.
At first, import the required libraries −
import pandas as pd import numpy as np
Create a Pandas series with some NaN values. We have set the NaN using the numpy np.nan −
d = pd.Series([10, 20, np.nan, 65, 75, 85, np.nan, 100])
Find polynomial interpolation using the method parameter of the interpolate() method −
d.interpolate(method='polynomial', order=2)
Example
Following is the code −
import pandas as pd import numpy as np # pandas series d = pd.Series([10, 20, np.nan, 65, 75, 85, np.nan, 100]) print"Series...\n",d # interpolate print"\nPolynomial Interpolation...\n",d.interpolate(method='polynomial', order=2)
Output
This will produce the following output −
Series... 0 10.0 1 20.0 2 NaN 3 65.0 4 75.0 5 85.0 6 NaN 7 100.0 dtype: float64 Polynomial Interpolation... 0 10.000000 1 20.000000 2 42.854015 3 65.000000 4 75.000000 5 85.000000 6 93.532847 7 100.000000 dtype: float64
Updated on: 2021-09-20T10:54:05+05:30
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