To return the integer indices that would sort the index, use the index.argsort() method in Pandas. At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index(['Electronics', 'Accessories', 'Decor', 'Books', 'Toys'], name ='Products') Display the Pandas index −print("Pandas Index...", index)Return the integer indices that would sort ... Read More

To round the Timedelta with specified resolution, use the timestamp.round() method. Set the resolution using the freq parameter.At first, import the required libraries −import pandas as pdCreate a Timedelta objecttimedelta = pd.Timedelta('2 days 10 hours 45 min 20 s 35 ms 55 ns')Display the Timedeltaprint("Timedelta...", timedelta)Return the rounded Timestamp with ... Read More

To create a new view of the Pandas Index, use the index.view() method. At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([50, 10, 70, 110, 90, 50, 110, 90, 30]) Display the Pandas index −print("Pandas Index...", index)Create a new view −res = index.view('uint8') Displaying ... Read More

To format Timedelta as ISO 8601, use the timedelta.isoformat() method. At first, import the required libraries −import pandas as pdCreate a Timedelta objecttimedelta = pd.Timedelta('4 days 11 hours 38 min 20 s 35 ms 55 ns')Display the Timedeltaprint("Timedelta...", timedelta)Format as ISO 8601timedelta.isoformat() ExampleFollowing is the code import pandas as pd ... Read More

To indicate all duplicate index values as True, use the index.duplicated(). Use the keep parameter with the value False.At first, import the required libraries −import pandas as pdCreating the index with some duplicates −index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane'])Display the index −print("Pandas Index with duplicates...", index)Indicate all duplicate index ... Read More

To indicate duplicate index values except for the last occurrence, use the index.duplicated(). Use the keep parameter with the value last.At first, import the required libraries −import pandas as pdCreating the index with some duplicates−index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane'])Display the index −print("Pandas Index with duplicates...", index)Indicate duplicate index ... Read More

To indicate duplicate index values except for the first occurrence, use the index.duplicated(). Use the keep parameter with the value first.At first, import the required libraries −import pandas as pdCreating the index with some duplicates−index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane'])Display the index −print("Pandas Index with duplicates...", index)Indicate duplicate index ... Read More

To indicate duplicate index values, use the index.duplicated() method.At first, import the required libraries −import pandas as pdCreating the indexwith some duplicates −index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane']) Display the index −print("Pandas Index with duplicates...", index)Indicate duplicate index values as True, rest False. By default, it keeps the first ... Read More

To return Index with duplicate values completely removed, use the index.drop_duplicates() method.At first, import the required libraries −import pandas as pdCreating the indexwith some duplicates −index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane']) Display the index −print("Pandas Index with duplicates...", index)Return Index with duplicate values removed. The "keep" parameter with value ... Read More

To return Index with duplicate values removed keeping the last occurrence, use the index.drop_duplicates() method. Use the keep parameter with value last.At first, import the required libraries −import pandas as pdCreating the index with some duplicates−index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane']) Display the index −print("Pandas Index with duplicates...", index)Return ... Read More