How do you split an array into specific intervals in Num.py for Python?

November 19, 2022

The question follows a such:

x = np.arange(100)

Write Python code to split the following array at these intervals: 10, 25, 45, 75, 95

I have used the split function and unable to get at these specific intervals, can anyone enlighten me on another method or am i doing it wrongly?

>Solution :

Here’s both the manual way and the numpy way with split.

# Manual method
x = np.arange(100)
split_indices = [10, 25, 45, 75, 95]

split_arrays = []
for i, j in zip([0]+split_indices[:-1], split_indices):
    split_arrays.append(x[i:j])

print(split_arrays)

# Numpy method
split_arrays_np = np.split(x, split_indices)
print(split_arrays_np)

And the result is (for both)

[array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), 
 array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]), 
 array([25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44]), 
 array([45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74]),
 array([75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94])
]