Programming Articles - Page 960 of 3363

To return vector of label values using integer position of the level in the MultiIndex, use the MultiIndex.get_level_values() 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 −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two']) Display the MultiIndex −print("The MultiIndex...", multiIndex)Get level values at level 0 −print("Level values at level 0...", multiIndex.get_level_values(0)) ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two']) # display ... Read More

To return vector of label values for requested level in a MultiIndex, use the multiIndex.get_level_values() method. Set the level name as an argument.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two'])Display the MultiIndex −print("The MultiIndex...", multiIndex) Get the levels in MultiIndex −print("The levels in MultiIndex...", multiIndex.levels)Get level values at level 0 −print("Level values...", multiIndex.get_level_values(0)) ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two']) # ... Read More

To get location and sliced index for requested label/ level in a MultiIndex, use the get_loc_level() method in Pandas. Use the drop_level parameter and set it False to avoid dropping the level.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two'])Display the MultiIndex −print("The MultiIndex...", multiIndex) Get the location and sliced index. To avoid dropping a level, we have used the "drop_level" parameter with value "False" −print("Get the location and sliced index (avoid dropping the level)...", multiIndex.get_loc_level('r', drop_level=False))ExampleFollowing is the code −import pandas as ... Read More

To get location and sliced index for requested label/ level in a MultiIndex, use the get_loc_level() method in Pandas.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two'])Display the MultiIndex −print("The MultiIndex...", multiIndex) Get the location and sliced index −print("Get the location and sliced index...", multiIndex.get_loc_level('r'))ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('strvwx')], names=['One', 'Two']) # display the MultiIndex print("The MultiIndex...", multiIndex) # get the ... Read More

To get location for a sequence of labels in a MultiIndex, use the MutiIndex.get_locs() method in Pandas.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrst'), list('kytssp')]) Display the MultiIndex −print("The MultiIndex...", multiIndex)Get the location for a sequence of labels −print("Get the locations in MultiIndex...", multiIndex.get_locs('s')) ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects multiIndex = pd.MultiIndex.from_arrays([list('pqrrst'), list('kytssp')]) # display the MultiIndex print("The MultiIndex...", multiIndex) # get the levels in MultiIndex print("The ... Read More

To get location for a label or a tuple of labels in a MultiIndex, use the MultiIndex.get_loc() method in Pandas.At first, import the required libraries −import pandas as pdMultiIndex is a multi-level, or hierarchical, index object for pandas objects −multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('stuvwx')]) Display the MultiIndex −print("The MultiIndex...", multiIndex)Get the location −print("Get the locations in MultiIndex...", multiIndex.get_loc('s')) ExampleFollowing is the code −import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects multiIndex = pd.MultiIndex.from_arrays([list('pqrrss'), list('stuvwx')]) # display the MultiIndex print("The MultiIndex...", multiIndex) # get the levels in MultiIndex print("The levels in ... Read More

To rearrange levels in MultiIndex, use the MultiIndex.reorder_levels() method in Pandas. Set the order of levels using the order 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 = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob'], [50, 30, 40, 70]] 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=('rank', 'student', 'points'))Reorder levels of MultiIndex. The "order" parameter is used to set the level in a form to reorder levelsprint("Reorder levels ... Read More

To rearrange levels using level name in MultiIndex, use the MultiIndex.reorder_levels() method in Pandas. Pass the levels (level names) to be rearranged as arguments.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'], [50, 30, 40, 70]] 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=('rank', 'student', 'points'))Reorder levels of MultiIndex. The "order" parameter is used to set the level name in a ... Read More

To swap levels of a MultiIndex, use the swaplevel() method in Pandas. The levels to be swapped should be mentioned as arguments.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'], [50, 30, 40, 70]] 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=('rank', 'student', 'points'))Swap levels of MultiIndex using swaplevel(). The 1st parameter is the first level of index to be swapped. ... Read More

To return MultiIndex with multiple levels removed using the level names, use the MultiIndex.droplevel() method and set the multiple levels (level name) to be removed as arguments.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'], [50, 30, 40, 70]] 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=('rank', 'student', 'points'))Drop a specific level from MultiIndex. The levels to be dropped is set ... Read More