# Python Pandas - Construct an IntervalArray from an array of splits and return the right endpoints of each interval

PythonPandasServer Side ProgrammingProgramming

To construct an IntervalArray from an array of splits, use the pandas.arrays.IntervalArray.from_breaks(). To return the right endpoints of each interval, use the array.right property.

At first, import the required libraries −

import pandas as pd

Construct a new IntervalArray from an array-like of splits −

array = pd.arrays.IntervalArray.from_breaks([0, 1, 2, 3, 4, 5])


Display the intervals −

print("Our IntervalArray...\n",array)

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

# Construct a new IntervalArray from an array-like of splits
array = pd.arrays.IntervalArray.from_breaks([0, 1, 2, 3, 4, 5])

# Display the IntervalArray
print("Our 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)

# 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 −

Our IntervalArray...
<IntervalArray>
[(0, 1], (1, 2], (2, 3], (3, 4], (4, 5]]
Length: 5, dtype: interval[int64, right]

Our IntervalArray length...
Int64Index([1, 1, 1, 1, 1], dtype='int64')

The midpoint of each interval in the IntervalArray...
Float64Index([0.5, 1.5, 2.5, 3.5, 4.5], dtype='float64')

The right endpoints of each Interval in the IntervalArray as an Index...
Int64Index([1, 2, 3, 4, 5], dtype='int64')
Updated on 13-Oct-2021 10:57:17