To get the length from the IntervalIndex, use the interval.length property in Pandas. At first, import the required libraries −import pandas as pdCreate IntervalIndex −interval = pd.IntervalIndex.from_arrays([10, 15, 20], [20, 25, 30]) Display the interval −print("IntervalIndex...", interval)Display the interval length −print("IntervalIndex length...", interval.length) ExampleFollowing is the code −import pandas as ... Read More

To get the midpoint from the IntervalIndex, use the interval.mid property in Pandas. At first, import the required libraries −import pandas as pdCreate IntervalIndex −interval = pd.IntervalIndex.from_arrays([10, 15, 20], [20, 25, 30]) Display the interval −print("IntervalIndex...", interval)Return the midpoint of the Interval −print("The midpoint for the Interval...", interval.mid) ExampleFollowing is ... Read More

To get the right bound for the IntervalIndex, use the interval.right property in Pandas. At first, import the required libraries −import pandas as pdCreate IntervalIndex −interval = pd.IntervalIndex.from_arrays([5, 10, 15], [15, 20, 25]) Display the interval −print("IntervalIndex...", interval)Get the right bound −print("The right bound for the IntervalIndex...", interval.right) ExampleFollowing is ... Read More

To get the left bound for the IntervalIndex, use the interval.left property in Pandas. At first, import the required libraries −import pandas as pdCreate IntervalIndex −interval = pd.IntervalIndex.from_arrays([5, 10, 15], [15, 20, 25]) Display the interval −print("IntervalIndex...", interval)Get the left bound −print("The left bound for the IntervalIndex...", interval.left) ExampleFollowing is ... Read More

To check whether the IntervalIndex intervals are closed on the left-side, right-side, both or neither, use the interval.closed property.At first, import the required libraries −import pandas as pdCreate IntervalIndex −interval = pd.IntervalIndex.from_arrays([5, 10, 15], [15, 20, 25]) Display the interval −print("IntervalIndex...", interval)Check whether the IntervalIndex is closed on the left-side, ... Read More

To create an IntervalIndex in Pandas, use the pandas.IntervalIndex.from_arrays() method. At first, import the required libraries −import pandas as pdCreate IntervalIndex −interval = pd.IntervalIndex.from_arrays([5, 10, 15], [10, 15, 20]) Display the interval −print("IntervalIndex...", interval)ExampleFollowing is the code −import pandas as pd # Create IntervalIndex interval = pd.IntervalIndex.from_arrays([5, 10, 15], ... Read More

To determine if two CategoricalIndex objects contain the same elements, use the equals() method. At first, import the required libraries −import pandas as pdSet the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter. Create two CategoricalIndex objects −catIndex1 = pd.CategoricalIndex(["p", "q", ... Read More

To Map values using input correspondence like a dict, use the CategoricalIndex.map() method in Pandas. At first, import the required libraries −import pandas as pdSet the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter −catIndex = pd.CategoricalIndex(["P", "Q", "R", "S", "P", ... Read More

To set the categories of the CategoricalIndex to be ordered, use the as_ordered() method in Pandas.At first, import the required libraries −import pandas as pdSet the categories for the categorical using the "categories" parameter −catIndex = pd.CategoricalIndex(["p", "q", "r", "s", "p", "q", "r", "s"], categories=["p", "q", "r", "s"])Get the categories ... Read More

To set the categories of the CategoricalIndex to be unordered, use the as_unordered() method in Pandas.At first, import the required libraries −import pandas as pdSet the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter with value True −catIndex = pd.CategoricalIndex(["p", "q", ... Read More