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Python Pandas - Check whether the intervals in IntervalArray are closed on the left-side, right-side, both or neither
To check whether the intervals in IntervalArray are closed on the left-side, right-side, both or neither, use the array.closed 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". A closed interval (in mathematics denoted by square brackets) contains its endpoints, i.e. the closed interval [0, 5] is characterized by the conditions 0 <= x <= 5 −
interval1 = pd.Interval(10, 25, closed='both') interval2 = pd.Interval(15, 70, closed='both')
Display the intervals −
print("Interval1...\n",interval1)
print("Interval2...\n",interval2)Construct a new IntervalArray from Interval objects −
array = pd.arrays.IntervalArray([interval1,interval2])
Check whether the intervals in the Interval Array is closed on the left-side, right-side, both or neither −
print("\nChecking whether the intervals is closed...\n",array.closed)Example
Following is the code −
import pandas as pd
# Create two Interval objects
# Closed intervals set using the "closed" parameter with value "both"
# A closed interval (in mathematics denoted by square brackets) contains its endpoints,
# i.e. the closed interval [0, 5] is characterized by the conditions 0 <= x <= 5
interval1 = pd.Interval(10, 25, closed='both')
interval2 = pd.Interval(15, 70, closed='both')
# 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)
# check whether the intervals in the Interval Array is closed on the left-side, right-side,
# both or neither
print("\nChecking whether the intervals is closed...\n",array.closed)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, both] Our IntervalArray length... Int64Index([15, 55], dtype='int64') Checking whether the intervals is closed... Both
Updated on: 12-Oct-2021
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