python 矩阵随机生成

最新推荐文章于 2024-08-16 09:23:52 发布

原创最新推荐文章于 2024-08-16 09:23:52 发布 · 5.9k 阅读

0 ·

CC 4.0 BY-SA版权

文章标签：

#python #matrix #rand #Generate a sparse ma

python Generate a sparse matrix 专栏收录该内容

1 篇文章

订阅专栏

本文介绍如何利用scipy.sparse.rand函数创建指定形状和密度的稀疏矩阵，包含参数解释及示例代码。通过调整参数，可以生成不同密度的随机值矩阵。

Generate a sparse matrix

Generate a sparse matrix of the given shape and density with uniformly distributed values.

scipy.sparse.rand(m, n, density=0.01, format='coo', dtype=None, random_state=None)

Parameters:
m, n : int
shape of the matrix
density : real, optional
density of the generated matrix: density equal to one means a full matrix, density of 0 means a matrix with no non-zero items.
format : str, optional
sparse matrix format.
dtype : dtype, optional
type of the returned matrix values.
random_state : {numpy.random.RandomState, int}, optional
Random number generator or random seed. If not given, the singleton numpy.random will be used.

example:

>>> sp.rand(4,3,density=1,).todense()
matrix([[ 0.54318062, 0.73848674, 0.66199091],
[ 0.55778929, 0.74904161, 0.97990645],
[ 0.92667378, 0.07833997, 0.18023915],
[ 0.02989316, 0.88534361, 0.00998536]])