df.interpolate(method='linear', limit_direction='forward', axis=0, inplace=True)
dff.interpolate(method='polynomial', order=3, limit=2, axis=0, limit_direction='both', inplace=True) import pandas as pd
s = pd.Series([None, None, 'red', 'red', None, 'blue', None, None])
print(s.to_list())
print(s.bfill().tolist())
print(s.ffill().tolist())
print(s.bfill().ffill().tolist())
print(s.ffill().bfill().tolist())
print(s.interpolate(method='pad').tolist())
Output:
[None, None, 'red', 'red', None, 'blue', None, None]
['red', 'red', 'red', 'red', 'blue', 'blue', None, None]
[None, None, 'red', 'red', 'red', 'blue', 'blue', 'blue']
['red', 'red', 'red', 'red', 'blue', 'blue', 'blue', 'blue']
['red', 'red', 'red', 'red', 'red', 'blue', 'blue', 'blue']
[None, None, 'red', 'red', 'red', 'blue', 'blue', 'blue']| Code Example |
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