Pandas Series: unstack() function

Last update on September 15 2022 12:55:24 (UTC/GMT +8 hours)

Series-unstack() function

The unstack() function is used to reshape the data using stack() function in pandas converts the data into stacked format

The level involved will automatically get sorted.

Syntax:

Series.unstack(self, level=-1, fill_value=None)

Name	Description	Type/Default Value	Required / Optional
level	Level(s) to unstack, can pass level name.	int, str, or list of these Default Value: Last Level	Required
fill_value	Value to use when replacing NaN values.	scalar value Default Value: None	Required

Returns: DataFrame - Unstacked Series.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series([2, 3, 4, 5],
             index=pd.MultiIndex.from_product([['one', 'two'],
                                               ['x', 'y']]))
s

Output:

one  x    2
     y    3
two  x    4
     y    5
dtype: int64

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series([2, 3, 4, 5],
             index=pd.MultiIndex.from_product([['one', 'two'],
                                               ['x', 'y']]))
s.unstack(level=-1)

Output:

      x	y
one	2	3
two	4	5

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series([2, 3, 4, 5],
             index=pd.MultiIndex.from_product([['one', 'two'],
                                               ['x', 'y']]))
s.unstack(level=0)

Output:

     one	two
x	   2	4
y	   3	5

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