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Python Pandas - Return the midpoint of each Interval in the IntervalArray as an Index
To return the midpoint of each Interval in the IntervalArray as an Index, use the array.mid property. At first,
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, 90, 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])
Midpoint of each Interval in the IntervalArray as an Index −
print("\nThe midpoint of each interval in the IntervalArray...\n",array.mid)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, 90, 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)
# midpoint of each Interval in the IntervalArray as an Index
print("\nThe midpoint of each interval in the IntervalArray...\n",array.mid)Output
This will produce the following code −
Interval1... [50, 75] Interval2... [65, 90] Our IntervalArray... <IntervalArray> [[50, 75], [65, 90]] Length: 2, dtype: interval[int64, both] Our IntervalArray length... Int64Index([25, 25], dtype='int64') The midpoint of each interval in the IntervalArray... Float64Index([62.5, 77.5], dtype='float64')
Updated on: 12-Oct-2021
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