How to generate a nested list of finite differences in Python?

I am solving a problem in which it is necessary to calculate the finite differences Δy. We have the original list of y values: [0.0000, 0.0016, 0.5875, 0.8087, 0.9509, 1.0000].

We need to get the differences:

из последующего значения вычесть предыдущее (например: 0.0016-0.000; 0.5875-0.0016 и так далее) – на выходе нам нужен список, где значений на одно меньше; продолжим вычитание с рассчитанными разностями – на выходе снова список, где значений еще на одно меньше. Так идем до тех пор, пока не останется одно значение, из которого вычитать нечего.

As a result, I would like to have a list of lists with finite differences: [ [Δ1, Δ2, Δ3], [Δ4, Δ5], [Δ6] ].

I implemented a code where I get None values, and in each nested list they do not become one less – this is not what I want to have in the output:

[[None, None, None, None, None],
 [None, None, None, None, None],
 [None, None, None, None, None]]

Here is my code:

my_list = [0.0000, 0.0016, 0.5875, 0.8087, 0.9509, 1.0000]
diff_list = []
data = [[diff_list.append(y-x) for x, y in zip(my_list[0::], my_list[1::])] for i in range(0, n)]

>Solution :

Please, post the text in English! Also, provide the result you are expecting from that example.

However, if I understood correctly:

import numpy as np

my_list = [0.0000, 0.0016, 0.5875, 0.8087, 0.9509, 1.0000]

result = [np.diff(my_list, n=d) for d in range(1, len(my_list))]

Here, result would be:

[array([0.0016, 0.5859, 0.2212, 0.1422, 0.0491]),
 array([ 0.5843, -0.3647, -0.079 , -0.0931]),
 array([-0.949 ,  0.2857, -0.0141]),
 array([ 1.2347, -0.2998]),

However, if my_list is very large, you might want to do this, to save computations:

result = []
for d in range(1, len(my_list)):
    result.append(np.diff(my_list if d == 1 else result[-1]))

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