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To get values from a specific level in Multiindex, use the multiIndex.get_level_values() method in Pandas.At first, import the required libraries −import pandas as pdCreate a multi-index. The names parameter sets the names for the levels in the indexmultiIndex = pd.MultiIndex.from_arrays([[5, 10], [15, 20], [25, 30], [35, 40]], names=['a', 'b', 'c', 'd'])Get value from specific value. Get 0th level value −print("Get level value (0th level)...", multiIndex.get_level_values(0)) Get 1st level value −print("Get level value (1st level)...", multiIndex.get_level_values(1))ExampleFollowing is the code −import pandas as pd # Create a multi-index # The names parameter sets the names for the levels ... Read More
To compute indexer and mask for new index even for non-uniquely values objects, use the index.get_indexer_non_unique() method.Python Pandas - Compute indexer and mask for new index even for non-uniquely valued objectsAt first, import the required libraries −import pandas as pdCreating Pandas index with some non-unique values −index = pd.Index([10, 20, 30, 40, 40, 50, 60, 60, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Compute indexer and mask. Marked by -1, as it is not in index. This also computes non-unique Index object values −print("Get the indexes...", index.get_indexer_non_unique([30, 40, 90, 100, 50, 60])) ExampleFollowing is the code −import pandas as ... Read More
To compute indexer and find the nearest index value if no exact match, use the index.get_indexer() method. Also set the method parameter to nearest.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Compute indexer and mask using the "get_indexer. Find the nearest index value if no exact match using the "method" parameter. The value is set "nearest" −print("Get the indexes...", index.get_indexer([30, 25, 58, 50, 69], method="nearest")) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, ... Read More
To compute indexer and find the next index value if no exact match, use the index.get_indexer() method. Also set the method parameter to bfill.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Compute indexer and mask using the "get_indexer". Find the next index value if no exact match using the "method" parameter. The value is set "bfill" −print("Get the indexes...", index.get_indexer([30, 25, 58, 50, 55], method="bfill")) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, ... Read More
To compute indexer and find the previous index value if no exact match, use the index.get_indexer() method. Also set the method parameter to ffill.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Compute indexer and mask using the "get_indexer". Find the previous index value if no exact match using the "method" parameter. The value is set "ffill" −print("Get the indexes...", index.get_indexer([30, 20, 75, 80, 50, 59], method="ffill")) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = ... Read More
To compute indexer and mask for new index given the current index, use the index.get_indexer() method in Pandas.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Compute indexer and mask. Marked by -1, as it is not in index −print("Get the indexes...", index.get_indexer([30, 40, 90, 100, 50])) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, 20, 30, 40, 50, 60, 70]) # Display the Pandas index print("Pandas Index...", index) # Return the ... Read More
To return the label from the index if all of the labels in the index are later than the passed label, use the index.asof() method in Pandas.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Return the label from the index. Returns NaN when if all of the labels in the index are later than the passed label −print("Get the label from the index...", index.asof(6)) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, 20, ... Read More
To return the label from the index or if not present, the previous one, use the index.asof() method in Pandas.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Return the label from the index or if not present, the previous one −print("Get the label from the index...", index.asof(43)) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, 20, 30, 40, 50, 60, 70]) # Display the Pandas index print("Pandas Index...", index) # Return ... Read More
To determine if two Index objects with opposite orders are equal or not, use the equals() method.At first, import the required libraries −import pandas as pdCreating Pandas index1 and index2 −index1 = pd.Index([15, 25, 35, 45, 55, 65, 75, 85, 95]) index2 = pd.Index([95, 85, 75, 65, 55, 45, 35, 25, 15])Display the index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Check whether two index objects with opposite order equal or not −print("Are two Index objects with opposite order equal?" "", index1.equals(index2))ExampleFollowing is the code −import pandas as pd # Creating Pandas index1 and index2 index1 = pd.Index([15, 25, ... Read More
To compute the symmetric difference of two Index objects and unsort the result, use the symmetric_difference() method in Pandas. To unsort, use the sort parameter and set to False.At first, import the required libraries −import pandas as pdCreating two Pandas index −index1 = pd.Index([50, 30, 20, 40, 10]) index2 = pd.Index([40, 10, 60, 20, 55])Display the Pandas index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Perform symmetric difference. Unsort the result using the "sort" parameter with value False −res = index1.symmetric_difference(index2, sort=False) ExampleFollowing is the code −import pandas as pd # Creating two Pandas index index1 = pd.Index([50, 30, ... Read More