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Python Pandas - Return the right endpoints of each Interval in the IntervalArray as an Index
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')
Updated on: 12-Oct-2021
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