df unstack
>>> index = pd.MultiIndex.from_tuples([('one', 'a'), ('one', 'b'),
... ('two', 'a'), ('two', 'b')])
>>> s = pd.Series(np.arange(1.0, 5.0), index=index)
>>> s
one a 1.0
b 2.0
two a 3.0
b 4.0
dtype: float64
s.unstack(level=-1)
a b
one 1.0 2.0
two 3.0 4.0
s.unstack(level=0)
one two
a 1.0 3.0
b 2.0 4.0
df = s.unstack(level=0)
df.unstack()
one a 1.0
b 2.0
two a 3.0
b 4.0
dtype: float64how to unstack multiindex pandas
import pandas as pd
import numpy as np
arrays = [['Monday','Monday','Tursday','Tursday'],
['Morning','Noon','Morning','Evening']]
tuples = list(zip(*arrays))
index = pd.MultiIndex.from_tuples(tuples, names=['Weekday', 'Time'])
df = pd.DataFrame(np.random.randint(5, size=(4,2)), index=index)
In [39]: df
Out[39]:
0 1
Weekday Time
Monday Morning 1 3
Noon 2 1
Tursday Morning 3 3
Evening 1 2
In [40]: pd.DataFrame(df.to_records())
Out[40]:
Weekday Time 0 1
0 Monday Morning 1 3
1 Monday Noon 2 1
2 Tursday Morning 3 3
3 Tursday Evening 1 2Copyright © 2021 Codeinu
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