python array fill - Brave Search

Filling an array in python

stackoverflow.com › questions › 54839128 › filling-an-array-in-python

Using np.repeat and np.tile on x and y respectively to get the desired columns and then stacking them together with z into one array:

Use with AIimport numpy as np

x = [1, 2, 3]
y = [4, 5]
z = [6, 7, 8, 9, 10, 11]

a = np.array([np.repeat(x, 2), np.tile(y, 3), z]).T

result:

Use with AIarray([[ 1,  4,  6],
       [ 1,  5,  7],
       [ 2,  4,  8],
       [ 2,  5,  9],
       [ 3,  4, 10],
       [ 3,  5, 11]])

Answer from kuzand on Stack Overflow

stackoverflow.com › questions › 54839128 › filling-an-array-in-python

Filling an array in python - Stack Overflow

Using np.repeat and np.tile on x and y respectively to get the desired columns and then stacking them together with z into one array:

Use with AIimport numpy as np

x = [1, 2, 3]
y = [4, 5]
z = [6, 7, 8, 9, 10, 11]

a = np.array([np.repeat(x, 2), np.tile(y, 3), z]).T

result:

Use with AIarray([[ 1,  4,  6],
       [ 1,  5,  7],
       [ 2,  4,  8],
       [ 2,  5,  9],
       [ 3,  4, 10],
       [ 3,  5, 11]])

For a pure Python solution, to work with any list size.

Use with AIx = [11,12,13,14,15]
y = [21,23,24]
z = [31,32,33,34,35,36,37]

This verbose code:

Use with AItmp = []
for i in range(max(len(x), len(y), len(z))):
    for yy in y:
        tmp.append([x[i%len(x)], yy])

for i in range(len(tmp)):
    tmp[i].append((z[i%len(z)]))

Returns

Use with AI# [[11, 21, 31],
#  [11, 23, 32],
#  [11, 24, 33],
#  [12, 21, 34],
#  [12, 23, 35],
#  [12, 24, 36],
#  [13, 21, 37],
#  [13, 23, 31],
#  [13, 24, 32],
#  [14, 21, 33],
#  [14, 23, 34],
#  [14, 24, 35],
#  [15, 21, 36],
#  [15, 23, 37],
#  [15, 24, 31],
#  [11, 21, 32],
#  [11, 23, 33],
#  [11, 24, 34],
#  [12, 21, 35],
#  [12, 23, 36],
#  [12, 24, 37]]

python - Fill values into an array given indexes array and values array in Numpy

python - fill in numpy array without looping though all indices

python - numpy: filling a subset of array

python - filling in numpy array

Python fill array with values from index to another

More results from stackoverflow.com

numpy.org › doc › 2.1 › reference › generated › numpy.ndarray.fill.html

numpy.ndarray.fill — NumPy v2.1 Manual

>>> import numpy as np >>> a = np.array([1, 2]) >>> a.fill(0) >>> a array([0, 0]) >>> a = np.empty(2) >>> a.fill(1) >>> a array([1., 1.])

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NumPy: Create an array with the same value (np.zeros, np.ones, np.full) | note.nkmk.me

January 23, 2024 - To create an array filled with any specified value, use np.full().

geeksforgeeks.org › python › numpy-ndarray-fill-in-python

numpy.ndarray.fill() in Python - GeeksforGeeks

December 28, 2018 - DSA Python · Data Science · NumPy · Pandas · Practice · Django · Flask · Last Updated : 28 Dec, 2018 · numpy.ndarray.fill() method is used to fill the numpy array with a scalar value.

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programming-idioms.org › idiom › 314 › fill-array-with-value › 7592 › python

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August 25, 2022 - Fill array with random bytes · Created a zeroed list of integers · Clear a byte array · Cheatsheets · Issues · Report a bug · × · Python · x = [v] * len(x) Python · for index in range(len(x)): x[index] = v · Python · x[:] = [v] * len(x) C++ x.fill(v); C++ fill(begin(x), end(x), ...

numpy.org › doc › stable › reference › generated › numpy.ndarray.fill.html

numpy.ndarray.fill — NumPy v2.5 Manual

>>> import numpy as np >>> a = np.array([1, 2]) >>> a.fill(0) >>> a array([0, 0]) >>> a = np.empty(2) >>> a.fill(1) >>> a array([1., 1.])

stackoverflow.com › questions › 37473697 › python-how-do-i-fill-an-array-with-a-range-of-numbers

Python: How do I fill an array with a range of numbers? - Stack Overflow

np.put places values from b into a at the target indices, ind. If v is shorter than ind, its values are repeated as necessary:

import numpy as np

a = np.empty(100)
b = np.arange(1, 4, 0.25)
ind = np.arange(len(a))
np.put(a, ind, b)
print(a)

yields

[ 1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75  2.    2.25  2.5   2.75  3.    3.25  3.5   3.75
  1.    1.25  1.5   1.75]

updating solution to fit description

a = np.empty(100)
filler = np.arange(1,4,0.25)
index = np.arange(a.size)
np.put(a,index,filler)

reddit.com › r/learnpython › how to fill a matrix using numpy

r/learnpython on Reddit: How to fill a matrix using numpy

June 18, 2020 -

Hello everyone,

I haven't done any type of linear algebra work with python before, only matlab. In matlab you create a matrix with the proper dimensions, then start filling it up with vectors of the appropriate size. I've tried to look up how to do this in python using a loop, and it doesn't seem as straightforward. It seems you first need to create a list, and append that list. Then convert that list to a numpy array. And then from there it appears you stack them? But stacking seems to only stack 1D and 2D arrays, so it's not exactly what I'm looking for.

For example:

import numpy as np
matrix=np.zeros((rows,columns))
list=[]
for i in range(columns):
    for x in range(rows):
        list.append(x)
    arr=np.array(list)
    matrix.append(arr) 
    list.clear()

So in the above case, I've made a list, and converted it into an array with shape (rows, 1). Then I want to add it to the first column of my matrix. Then through the loop, I start to fill my matrix up by filling it one by one with these vectors. However, the issue is I'm trying to add a 1D array, to a multi-D matrix (which numpy doesn't allow you to do).

Hpw do I fill up a matrix using numpy?

There's lots of ways to fill arrays. Here are some examples: import numpy as np arr = np.empty((3, 4)) # Value by value for i in range(arr.shape[0]): for j in range(arr.shape[1]): arr[i, j] = i + j # Row by row for i in range(arr.shape[0]): row = range(arr.shape[1]) arr[i, :] = row # Column by column for j in range(arr.shape[1]): row = range(arr.shape[0]) arr[:, j] = row # Or just all at once arr = np.array([ [1, 2, 3], [4, 5, 6], [7, 8, 9] ]) # Or use one of many built-in functions arr = np.arange(3 * 4).reshape(3, 4)

Find elsewhere

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medium.com › @amit25173 › what-is-numpy-fill-and-when-to-use-it-6c6192c67b9d

What is numpy.fill and When to Use It? | by Amit Yadav | Medium

February 9, 2025 - You start with an array containing [1, 2, 3, 4, 5]. The fill() method replaces all the values with 0.

numpy.org › devdocs › reference › generated › numpy.ndarray.fill.html

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>>> import numpy as np >>> a = np.array([1, 2]) >>> a.fill(0) >>> a array([0, 0]) >>> a = np.empty(2) >>> a.fill(1) >>> a array([1., 1.])

statology.org › home › how to fill numpy array with values (2 examples)

How to Fill NumPy Array with Values (2 Examples)

July 21, 2022 - The following code shows how to use the np.full() function to fill up a NumPy array of length 10 with the value 3 in each position:

numpy.org › doc › 2.0 › reference › generated › numpy.ndarray.fill.html

numpy.ndarray.fill — NumPy v2.0 Manual

>>> a = np.array([1, 2]) >>> a.fill(0) >>> a array([0, 0]) >>> a = np.empty(2) >>> a.fill(1) >>> a array([1., 1.])

delftstack.com › home › howto › numpy › python fill array with value

How to Fill Array With Value in NumPy | Delft Stack

March 11, 2025 - In this example, we first import the NumPy library and define the shape of our array as a tuple (3, 4), meaning we want a 3x4 array. We set the fill_value to 7. The np.full() function then creates a new array of the specified shape, filled entirely ...

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May 24, 2023 - Numpy will release the global interpreter lock (GIL) when calling a fill function, allowing Python threads to run in parallel and populate different sub-arrays of a large shared array.

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opensourceoptions.com › fill-numpy-arrays-with-numpy-fill-and-numpy-full

Fill NumPy Arrays with numpy.fill and numpy.full – OpenSourceOptions

We’ll start with a demonstration of how to change all the values in an existing array (numpy.fill()), then move on the to built-in function to initialize arrays with specific values.

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June 27, 2022 - As discussed earlier, the numpy library has a random module that can help in generating random numbers for numpy arrays. The randint() function can be used to generate an array of the required size and fill array with random numbers in Python.

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March 27, 2024 - NumPy fill() function in Python is used to fill the array with a scalar value. This function fills the elements of an array with a static value from the