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Python Pandas - Get the midpoint from the IntervalIndex
To get the midpoint from the IntervalIndex, use the interval.mid property in Pandas. At first, import the required libraries −
import pandas as pd
Create IntervalIndex −
interval = pd.IntervalIndex.from_arrays([10, 15, 20], [20, 25, 30])
Display the interval −
print("IntervalIndex...\n",interval)Return the midpoint of the Interval −
print("\nThe midpoint for the Interval...\n",interval.mid)
Example
Following is the code −
import pandas as pd
# Create IntervalIndex
interval = pd.IntervalIndex.from_arrays([10, 15, 20], [20, 25, 30])
# Display the interval
print("IntervalIndex...\n",interval)
# Display the interval length
print("\nIntervalIndex length...\n",interval.length)
# Check whether the IntervalIndex is closed on the left-side, right-side, both or neither
print("\nChecking for the type of IntervalIndex...\n",interval.closed)
# the left bound
print("\nThe left bound for the IntervalIndex...\n",interval.left)
# the right bound
print("\nThe right bound for the IntervalIndex...\n",interval.right)
# return the midpoint of the Interval
print("\nThe midpoint for the Interval...\n",interval.mid)Output
This will produce the following output −
IntervalIndex... IntervalIndex([(10, 20], (15, 25], (20, 30]], dtype='interval[int64, right]') IntervalIndex length... Int64Index([10, 10, 10], dtype='int64') Checking for the type of IntervalIndex... right The left bound for the IntervalIndex... Int64Index([10, 15, 20], dtype='int64') The right bound for the IntervalIndex... Int64Index([20, 25, 30], dtype='int64') The midpoint for the Interval... Float64Index([15.0, 20.0, 25.0], dtype='float64')
Updated on: 18-Oct-2021
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