To construct an IntervalArray from an array-like of tuples, use the pandas.arrays.IntervalArray.from_tuples() method. To return the left endpoints of each Interval in the IntervalArray, use the array.left property.
At first, import the required libraries −
import pandas as pd
Construct a new IntervalArray from an array-like of tuples −
array = pd.arrays.IntervalArray.from_tuples([(10, 25),(15, 70)])
Display the intervals −
print("Our IntervalArray...\n",array)
Get the left endpoints −
print("\nThe left endpoints of each Interval in the IntervalArray as an Index...\n", array.left)
Example
Following is the code −
import pandas as pd # Construct a new IntervalArray from an array-like of tuples array = pd.arrays.IntervalArray.from_tuples([(10, 25),(15, 70)]) # 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 left endpoints print("\nThe left endpoints of each Interval in the IntervalArray as an Index...\n",array.left)
Output
This will produce the following code −
Our IntervalArray... <IntervalArray> [(10, 25], (15, 70]] Length: 2, dtype: interval[int64, right] Our IntervalArray length... Int64Index([15, 55], dtype='int64') The midpoint of each interval in the IntervalArray... Float64Index([17.5, 42.5], dtype='float64') The left endpoints of each Interval in the IntervalArray as an Index... Int64Index([10, 15], dtype='int64')