Iterating over arrays to create vectors: Python Vs MATLAB

So I have this code in MATLAB:

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dx = 1E-2;

u = [0:0.01:1000]%g(:,4);

minu= min(u);

maxu = max(u);

du = dx*1.5; % change back

p1 = floor((maxu-minu)/du)+1;

N1 = zeros(p1,1);

for i = 1:size(u,1)

U1 = floor((u(i)-minu)/du) + 1; %seems to either only be 0 or 1??

N1(U1) = N1(U1)+1;

end

L = (N1/(p1*du));

plot(tan(L))

grid on

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Which produces

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[plot][1]

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[1]: https://i.stack.imgur.com/6BJFj.png

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I tried to transfer this over to Python with:

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# %%

import numpy as np

import scipy as sc

import matplotlib.pyplot as plt

# from mpl_toolkits import mplot3d

import cmath

from scipy.fft import fft

from scipy.fft import ifft

# import sympy as sy

# import sympy.abc as spa

# from mpl_toolkits import mplot3d

dx = 1E-2;

u = np.arange(0, 1000, 0.1)

minu= min(u);

maxu = max(u);

du = dx*1.5

p1 = np.floor((maxu-minu)/du)+1;

N1 = np.zeros((int(p1), 1))

for i in range(1, len((u))):

U1 = np.floor( (u - minu) / du ) + 1

N1[U1] = N1[U1]+1

L = (N1/(p1*du));

plt.plot(np.tan(L))

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But it fails at the line `N1[U1] = N1[U1]+1` because I'm not familiar with the syntax in Python, how might one replicate the line `N1(U1) = N1(U1)+1;` in Python?

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I appreciate that this is a basic question to ask but I'm a newcommer to the language.