To get integer location for requested label and find the nearest index value if no exact match, use the index.get_loc(). Set the method parameter value 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)Get the location of the nearest index value if no exact match. The value is set "nearest" using the "method" parameter of the get_loc().print("Get the location of the nearest index if no exact match...", index.get_loc(58, method="nearest"))ExampleFollowing is the code −import pandas as pd # Creating Pandas index ... Read More

To get integer location for requested label and find the previous index value if no exact match, use the index.get_loc(). Set the parameter method to the value 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)Get the location of the previous index if no exact match. The value is set "ffill" using the "method" parameter of the get_loc() −print("Get the location of the previous index if no exact match...", index.get_loc(45, method="ffill"))ExampleFollowing is the code −import pandas as pd # Creating Pandas ... Read More

To get the integer location for requested label in Pandas, use the index.get_loc() method. At first, import the required libraries −import pandas as pdCreate Pandas index object −index = pd.Index(list('pqrstuvwxyz')) Display the Pandas index −print("Pandas Index...", index)Get integer location from the given index −print("Display integer location from given index...", index.get_loc('w')) print("Display integer location from given index...", index.get_loc('z'))ExampleFollowing is the code −import pandas as pd # create Pandas index object index = pd.Index(list('pqrstuvwxyz')) # Display the Pandas index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in the index...", index.size) ... Read More

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