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How to make a multi-index in Pandas?
To make a multi-index in Pandas, we can use groupby with list of columns.
Steps
Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
Print the input DataFrame.
Print the index of DataFrame count.
Use groupby to get different levels of a hierarchical index and count it.
Print the mulitindex set in step 4.
Example
import pandas as pd df = pd.DataFrame( { "x": [5, 2, 1, 9], "y": [4, 1, 5, 10], "z": [4, 1, 5, 0] } ) print "Input DataFrame is:
", df print "
Default index: ", df.count().index df1 = df.groupby(["x", "y"]).count() print "
Multi index is like:
", df1.index
Output
Input DataFrame is: x y z 0 5 4 4 1 2 1 1 2 1 5 5 3 9 10 0 Default index: Index(['x', 'y', 'z'], dtype='object') Multi index is like: MultiIndex([(1, 5), (2, 1), (5, 4), (9, 10)], names=['x', 'y'])
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