使用和进行一些调整
coo_matrix，可以得到不错的结果
plot()：
import matplotlib.pyplot as pltfrom scipy.sparse import coo_matrixdef plot_coo_matrix(m): if not isinstance(m, coo_matrix): m = coo_matrix(m) fig = plt.figure() ax = fig.add_subplot(111, facecolor='black') ax.plot(m.col, m.row, 's', color='white', ms=1) ax.set_xlim(0, m.shape[1]) ax.set_ylim(0, m.shape[0]) ax.set_aspect('equal') for spine in ax.spines.values(): spine.set_visible(False) ax.invert_yaxis() ax.set_aspect('equal') ax.set_xticks([]) ax.set_yticks([]) return ax请注意，将
y轴反转以将第一行放在图的顶部。一个例子：
import numpy as npfrom scipy.sparse import coo_matrixshape = (100000, 100000)rows = np.int_(np.round_(shape[0]*np.random.random(1000)))cols = np.int_(np.round_(shape[1]*np.random.random(1000)))vals = np.ones_like(rows)m = coo_matrix((vals, (rows, cols)), shape=shape)ax = plot_coo_matrix(m)ax.figure.show()
