Python Pandas - IntervalIndex에서 중간점 가져오기

IntervalIndex에서 중간점을 얻으려면 Pandas에서 interval.mid 속성을 사용하세요. 먼저 필요한 라이브러리를 가져옵니다 -

import pandas as pd

IntervalIndex 생성 -

interval = pd.IntervalIndex.from_arrays([10, 15, 20], [20, 25, 30])

간격 표시 -

print("IntervalIndex...\n",interval)

간격의 중간점 반환 -

print("\nThe midpoint for the Interval...\n",interval.mid)

예시

다음은 코드입니다 -

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)

출력

이것은 다음과 같은 출력을 생성합니다 -

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')