numpy array 2d - Brave Search

How to generate 2d numpy array?

stackoverflow.com › questions › 28628773 › how-to-generate-2d-numpy-array

This works:

a = [[1, 2, 3], [4, 5, 6]]
nd_a = np.array(a)

So this should work too:

nd_a = np.array([[x for x in y] for y in a])

Answer from Marijn van Vliet on Stack Overflow

numpy.org › doc › stable › reference › arrays.ndarray.html

The N-dimensional array (ndarray) — NumPy v2.5 Manual

An ndarray is a (usually fixed-size) multidimensional container of items of the same type and size. The number of dimensions and items in an array is defined by its shape, which is a tuple of N non-negative integers that specify the sizes of each dimension. The type of items in the array is ...

w3schools.com › python › numpy › numpy_creating_arrays.asp

NumPy Creating Arrays

An array that has 1-D arrays as its elements is called a 2-D array. These are often used to represent matrix or 2nd order tensors. NumPy has a whole sub module dedicated towards matrix operations called numpy.mat

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stackoverflow.com › questions › 28628773 › how-to-generate-2d-numpy-array

python - How to generate 2d numpy array? - Stack Overflow

This works:

a = [[1, 2, 3], [4, 5, 6]]
nd_a = np.array(a)

So this should work too:

nd_a = np.array([[x for x in y] for y in a])

To create a new array, it seems numpy.zeros is the way to go

import numpy as np
a = np.zeros(shape=(x, y))

You can also set a datatype to allocate it sensibly

>>> np.zeros(shape=(5,2), dtype=np.uint8)
array([[0, 0],
       [0, 0],
       [0, 0],
       [0, 0],
       [0, 0]], dtype=uint8)
>>> np.zeros(shape=(5,2), dtype="datetime64[ns]")
array([['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000000'],
       ['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000000'],
       ['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000000'],
       ['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000000'],
       ['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000000']],
      dtype='datetime64[ns]')

See also

How do I create an empty array/matrix in NumPy?
np.full(size, 0) vs. np.zeros(size) vs. np.empty()

python - How to make numpy array with 2D shape

numpy - 2d array for 2d function from 2 1d arrays (Python)

Creating a 2d NumPy array (Python)

Python numpy: create 2d array of values based on coordinates

python - Create a dynamic 2D numpy array on the fly

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