Iterating through a large array filling it with identically sized, but different, smaller arrays

Iterating through a large array filling it with identically sized, but different, smaller arrays

I have a large array full of zeros simply defined by:

I have a large array full of zeros simply defined by:

BigArray = np.zeros((100,1000,1000),np.float16)

I then have a 3D volume that I randomly rotate outside of python and each time it is rotated I want to import the file into python and add it to the next bit of the array. I currently have the following code that will do it:

n = 0

while n < 99: Zaxisangle = randint(0,360) Yaxisangle = randint(0,360) Xaxisangle = randint(0,360)

os.system('rotatevol -angles {},{},{} -input {} -output {}'.format(Zaxisangle, Yaxisangle, Xaxisangle,
                                                               MRCfilewithextension, MRCforoutput))
particledata = mrcopen(MRCforoutput)



if n &lt; 10:
    ArtTomo[:, 0:100, (100*(n+1))-100:100*(n+1)] = particledata
    n = n+1
else:
    n = n+1

For the purpose of this example we can simplify it down to the following:

BigArray = np.zeros((100,1000,1000),np.float16)
particledata = np.random.rand(100,100,100)
n = 0
while n < 99:
    if n < 10:
        ArtTomo[:, 0:100, (100(n+1))-100:100(n+1)] = particledata
        n = n+1
    elif: 10 < n < 20
        ArtTomo[:, 100:200, (100(n+1))-100:100(n+1)] = particledata
        n = n+1
    else:
        n = n+1

I would then write lots of elif statements for each 'row'. Because I am iterating through the array with different files I can't simply fill it with a 'in range(0,1000,100)' statement annoyingly.

whilst I can write out all the elif statements I feel as if there must be a more efficient way to write this code I am just not good enough to see it. Could anyone else write this in a nicer way or am I just going to have to write 10 elif statments (i just don't feel like it is neat code!).

Angular 9 Tutorial: Learn to Build a CRUD Angular App Quickly

What's new in Bootstrap 5 and when Bootstrap 5 release date?

Brave, Chrome, Firefox, Opera or Edge: Which is Better and Faster?

How to Build Progressive Web Apps (PWA) using Angular 9

What is new features in Javascript ES2020 ECMAScript 2020

Top Python Development Companies | Hire Python Developers

After analyzing clients and market requirements, TopDevelopers has come up with the list of the best Python service providers. These top-rated Python developers are widely appreciated for their professionalism in handling diverse projects. When...

Python NumPy Tutorial for Beginners

Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more.

Python NumPy Tutorial for Beginners

NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays. Using NumPy, mathematical and logical operations on arrays can be performed.