Pandas Series: unstack() function
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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