Fill 1D numpy array from arrays with indices

Background

I have one 1D NumPy array initialized with zeroes.

import numpy as np
section = np.zeros(1000)

Then I have a Pandas DataFrame where I have indices in two columns:

d= {'start': {0: 7200, 1: 7500, 2: 7560, 3: 8100, 4: 11400},
    'end': {0: 10800, 1: 8100, 2: 8100, 3: 8150, 4: 12000}}

df = pd.DataFrame(data=d, columns=['start', 'end'])

For each pair of indices, I want to set the value of the corresponding indices in the numpy array to True.

My current solution

I can do this by applying a function to the DataFrame:

def fill_array(row):
    section[row.start:row.end] = True

df.apply(fill_array, axis=1)

I want to vectorize this operation

This works as I expect, but for the fun of it, I would like to vectorize the operation. I'm not very proficient with this, and my searching online has not put me on the right track.

I would really appreciate any suggestions on how to make this into a vector operation, if at all possible.