To return an Index with entries denoting the length of each Interval in the IntervalArray, use the array.length property.
At first, import the required libraries −
import pandas as pd
Create two Interval objects. Closed intervals set using the "closed" parameter with value "both" −
interval1 = pd.Interval(50, 75, closed='both') interval2 = pd.Interval(65, 95, closed='both')
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)
Example
Following is the code −
import pandas as pd # Create two Interval objects # Closed intervals set using the "closed" parameter with value "both" interval1 = pd.Interval(50, 75, closed='both') interval2 = pd.Interval(65, 95, closed='both') # display the intervals print("Interval1...\n",interval1) print("Interval2...\n",interval2) # display the interval length print("\nInterval1 length...\n",interval1.length) print("\nInterval2 length...\n",interval2.length) # 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)
Output
This will produce the following code −
Interval1... [50, 75] Interval2... [65, 95] Interval1 length... 25 Interval2 length... 30 Our IntervalArray... <IntervalArray> [[50, 75], [65, 95]] Length: 2, dtype: interval[int64, both] Our IntervalArray length... Int64Index([25, 30], dtype='int64')