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Python Pandas - Create a DataFrame with the levels of the MultiIndex as columns but avoid setting the index of the returned DataFrame
To create a DataFrame with the levels of the MultiIndex as columns, use the multiIndex.to_frame(). The index parameter is set False to avoid setting the index of the returned DataFrame
At first, import the required libraries −
import pandas as pd
MultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −
arrays = [[1, 2, 3, 4], ['John', 'Tim', 'Jacob', 'Chris']]
The "names" parameter sets the names for each of the index levels. The from_arrays() is used to create a MultiIndex −
multiIndex = pd.MultiIndex.from_arrays(arrays, names=('ranks', 'student'))Create a DataFrame with the levels of the MultiIndex as columns using to_frame(). Use the "index" parameter and set it to "False" to avoid setting the index of the returned DataFrame −
dataFrame = multiIndex.to_frame(index=False)
Example
Following is the code −
import pandas as pd
# MultiIndex is a multi-level, or hierarchical, index object for pandas objects
# Create arrays
arrays = [[1, 2, 3, 4], ['John', 'Tim', 'Jacob', 'Chris']]
# The "names" parameter sets the names for each of the index levels
# The from_arrays() is used to create a MultiIndex
multiIndex = pd.MultiIndex.from_arrays(arrays, names=('ranks', 'student'))
# display the MultiIndex
print("The Multi-index...\n",multiIndex)
# get the levels in MultiIndex
print("\nThe levels in Multi-index...\n",multiIndex.levels)
# Create a DataFrame with the levels of the MultiIndex as columns using to_frame()
# Use the "index" parameter and set it to "False" to avoid setting the index of the returned #DataFrame
dataFrame = multiIndex.to_frame(index=False)
# Return the DataFrame
print("\nThe DataFrame...\n",dataFrame)Output
This will produce the following output −
The Multi-index... MultiIndex([(1, 'John'), (2, 'Tim'), (3, 'Jacob'), (4, 'Chris')], names=['ranks', 'student']) The levels in Multi-index... [[1, 2, 3, 4], ['Chris', 'Jacob', 'John', 'Tim']] The DataFrame... ranks student 0 1 John 1 2 Tim 2 3 Jacob 3 4 Chris
Updated on: 19-Oct-2021
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