Python Pandas - Get the left bound for the IntervalIndex

To get the left bound for the IntervalIndex, use the interval.left property in Pandas. This property returns an Index containing all the left endpoints of the intervals.

What is IntervalIndex?

An IntervalIndex is a specialized index type in Pandas that represents intervals (ranges of values). Each interval has a left bound (start) and right bound (end).

Creating an IntervalIndex

First, let's create an IntervalIndex using from_arrays() method ?

import pandas as pd

# Create IntervalIndex from left and right arrays
interval = pd.IntervalIndex.from_arrays([5, 10, 15], [15, 20, 25])
print("IntervalIndex...")
print(interval)

IntervalIndex...
IntervalIndex([(5, 15], (10, 20], (15, 25]], dtype='interval[int64, right]')

Getting the Left Bound

Use the .left property to extract all left bounds ?

import pandas as pd

interval = pd.IntervalIndex.from_arrays([5, 10, 15], [15, 20, 25])
print("Left bounds:")
print(interval.left)

Left bounds:
Index([5, 10, 15], dtype='int64')

Complete Example

Here's a comprehensive example showing IntervalIndex properties ?

import pandas as pd

# Create IntervalIndex
interval = pd.IntervalIndex.from_arrays([5, 10, 15], [15, 20, 25])

# Display the interval
print("IntervalIndex...")
print(interval)

# Display the interval length
print("\nIntervalIndex length...")
print(interval.length)

# Check whether the IntervalIndex is closed on the left-side, right-side, both or neither
print("\nChecking for the type of IntervalIndex...")
print(interval.closed)

# Get the left bound
print("\nThe left bound for the IntervalIndex...")
print(interval.left)

IntervalIndex...
IntervalIndex([(5, 15], (10, 20], (15, 25]], dtype='interval[int64, right]')

IntervalIndex length...
Index([10, 10, 10], dtype='int64')

Checking for the type of IntervalIndex...
right

The left bound for the IntervalIndex...
Index([5, 10, 15], dtype='int64')

Key Properties

Conclusion

The .left property provides an easy way to extract all left bounds from an IntervalIndex. This is useful for interval analysis and data filtering operations in Pandas.