Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
To create a MultiIndex, use the from_arrays() method. However, to sort MultiIndex at a specific level, use the multiIndex.sortlevel() method in Pandas. Set the level as an argument.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays:arrays = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob']] 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'))Sort MultiIndex. The specific level to sort is set as a parameter i.e. level 1 here −print("Sort MultiIndex ... Read More
To create a MultiIndex, use the from_arrays() method. However, to sort MultiIndex, use the multiIndex.sortlevel(). method in Pandas.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −arrays = [[2, 4, 3, 1], ['John', 'Tim', 'Jacob', 'Chris']] The "names" parameter sets the names for each of the index levels. The from_arrays() is used to create a MultiInde −multiIndex = pd.MultiIndex.from_arrays(arrays, names=('ranks', 'student'))Sort MultiIndex. The default sorts at level 0 −print("Sort MultiIndex...", multiIndex.sortlevel()) ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, ... Read More
To create a DataFrame with the levels of the MultiIndex as columns, use the MultiIndex.to_frame() method. Substitute index level names using the name parameter.At first, import the required libraries −import pandas as pdMultiIndex 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)Create a DataFrame with the levels of the MultiIndex as columns using to_frame(). Use the "name" parameter and pass the names to substitute index ... Read More
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 DataFrameAt first, import the required libraries −import pandas as pdMultiIndex 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 ... Read More
To create a DataFrame with the levels of the MultiIndex as columns, use the to_frame() method in Pandas.At first, import the required libraries −import pandas as pdMultiIndex 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() −dataFrame = multiIndex.to_frame() ExampleFollowing is the code −import pandas as pd # MultiIndex ... Read More
To convert a MultiIndex to an Index of Tuples containing the level values, use the MultiIndex.to_flat_index() method.At first, import the required libraries −import pandas as pdMultiIndex 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'))Convert the MultiIndex −print("Converting a MultiIndex to an Index of Tuples containing the level values...", multiIndex.to_flat_index())ExampleFollowing is the code −import pandas as pd # MultiIndex is a ... Read More
To set only a single new specific level using the level name in a MultiIndex, use the MultiIndex.set_levels() method. The parameter level is used to set the level name.At first, import the required libraries −import pandas as pdMultiIndex 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'))Set the level in MultiIndex. We have set a new single specific level using the level ... Read More
To set only a single new specific level in a MultiIndex, use the MultiIndex.set_levels() method with parameter level. At first, import the required libraries −import pandas as pdMultiIndex 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'))We have set a new single specific level using the "level" parameter −print("Set a new level in Multi-index...", multiIndex.set_levels(['p', 'q', 'r', 's'], level = 0))ExampleFollowing is ... Read More
To set levels in a MultiIndex, use the MultiIndex.set_levels() method in Pandas. At first, import the required libraries −import pandas as pdMultiIndex 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'))Set the levels in MultiIndex −print("Set new levels in Multi-index...", multiIndex.set_levels([['p', 'q', 'r', 's'], [10, 20, 30, 40]]))ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, ... Read More
To get a tuple with the length of each level from MultiIndex, use the MultiIndex.levshape property in Pandas.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −arrays = [[1, 2, 3, 4, 5], ['John', 'Tim', 'Jacob', 'Chris', 'Keiron']] The "names" parameter sets the names for each of the index levels. The from_arrays() uis used to create a Multiindex −multiIndex = pd.MultiIndex.from_arrays(arrays, names=('ranks', 'student'))Get a tuple with the length of each level −print("The tuple with the length of each level in a Multi-index...", multiIndex.levshape)ExampleFollowing is the code −import ... Read More