scipy csr_matrix和csc_matrix函数详解

[链接]：scipy csr_matrix和csc_matrix函数详解_Sundrops的专栏-CSDN博客_csc_matrix

概述
在用python进行科学运算时，常常需要把一个稀疏的np.array压缩，这时候就用到scipy库中的sparse.csr_matrix(csr:Compressed Sparse Row marix) 和sparse.csc_matric(csc:Compressed Sparse Column marix)

scipy.sparse.csr_matrix
官方API介绍(省略前几种容易理解的了)
csr_matrix((data, indices, indptr), [shape=(M, N)])
is the standard CSR representation where the column indices for row i are stored in indices[indptr[i]:indptr[i+1]] and their corresponding values are stored in data[indptr[i]:indptr[i+1]]. If the shape parameter is not supplied, the matrix dimensions are inferred from the index arrays.

官方API介绍(省略前几种容易理解的了)

csc_matrix((data, indices, indptr), [shape=(M, N)])
is the standard CSC representation where the row indices for column i are stored in indices[indptr[i]:indptr[i+1]] and their corresponding values are stored in data[indptr[i]:indptr[i+1]]. If the shape parameter is not supplied, the matrix dimensions are inferred from the index arrays.