How can I interpolate missing values in a Pandas DataFrame?

How can I interpolate missing values in a Pandas DataFrame?

You can use the interpolate() method in Pandas to fill in missing values. Would you like an example?

Yes, please provide an example of how to use it.

Sure! Here's a simple example:

import pandas as pd

data = {'A': [1, 2, None, 4, 5]}
df = pd.DataFrame(data)

# Interpolating missing values
interpolated_df = df.interpolate()
print(interpolated_df)

This will fill in the missing value in column 'A'.

What interpolation methods can I use?

You can use methods like 'linear', 'time', 'index', 'nearest', 'polynomial', and more. You can specify the method in the interpolate() function.