To return the right endpoints of each Interval in the IntervalArray as an Index, use the array.right property.
At first, import the required libraries −
import pandas as pd
Create two Interval objects −
interval1 = pd.Interval(10, 25) interval2 = pd.Interval(15, 70)
Display the intervals −
print("Interval1...\n",interval1) print("Interval2...\n",interval2)
Construct a new IntervalArray from Interval objects −
array = pd.arrays.IntervalArray([interval1,interval2])
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 # Create two Interval objects interval1 = pd.Interval(10, 25) interval2 = pd.Interval(15, 70) # display the intervals print("Interval1...\n",interval1) print("Interval2...\n",interval2) # Construct a new IntervalArray from Interval objects array = pd.arrays.IntervalArray([interval1,interval2]) # Display the IntervalArray print("\nOur 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) # 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 −
Interval1... (10, 25] Interval2... (15, 70] Our IntervalArray... <IntervalArray> [(10, 25], (15, 70]] Length: 2, dtype: interval[int64, right] Our IntervalArray length... Int64Index([15, 55], dtype='int64') The right endpoints of each Interval in the IntervalArray as an Index... Int64Index([25, 70], dtype='int64')