Python Pandas - Construct an IntervalArray from an array-like of tuples and return the right endpoints of each Interval

To construct an IntervalArray from an array-like of tuples, use the pandas.arrays.IntervalArray.from_tuples() method. To return the right endpoints of each Interval in the IntervalArray, use the array.right property.

At first, import the required libraries −

import pandas as pd

Construct a new IntervalArray from an array-like of tuples −

array = pd.arrays.IntervalArray.from_tuples([(10, 25),(15, 70)]) 

Display the intervals −

print("Our IntervalArray...\n",array)

Get the right endpoints −

print("\nThe right endpoints of each Interval in the IntervalArray as an Index...\n", array.right) 

Example

Following is the code −

import pandas as pd # Construct a new IntervalArray from an array-like of tuples array = pd.arrays.IntervalArray.from_tuples([(10, 25),(15, 70)]) # Display the IntervalArray print("Our IntervalArray...\n",array) # Getting the length of IntervalArray # Returns an Index with entries denoting the length of each Interval in the IntervalArray print("\nOur IntervalArray length...\n",array.length) # midpoint of each Interval in the IntervalArray as an Index print("\nThe midpoint of each interval in the IntervalArray...\n",array.mid) # get the right endpoints print("\nThe right endpoints of each Interval in the IntervalArray as an Index...\n",array.right)

Output

This will produce the following code −

Our IntervalArray... <IntervalArray> [(10, 25], (15, 70]] Length: 2, dtype: interval[int64, right] Our IntervalArray length... Int64Index([15, 55], dtype='int64') The midpoint of each interval in the IntervalArray... Float64Index([17.5, 42.5], dtype='float64') The right endpoints of each Interval in the IntervalArray as an Index... Int64Index([25, 70], dtype='int64')