Python Matploblib:根据存储在数组中的索引绘制矩阵的单元格
我用Numpy构建了一个矩阵,并设置了矩阵单元格的值,然后在下面的代码中用Matplotlib绘制了它Python Matploblib:根据存储在数组中的索引绘制矩阵的单元格,python,matplotlib,matrix,Python,Matplotlib,Matrix,我用Numpy构建了一个矩阵,并设置了矩阵单元格的值,然后在下面的代码中用Matplotlib绘制了它 import numpy as np import matplotlib.pyplot as plt matrix = np.loadtxt('C:\folder/matrix_values.txt', usecols=range(20)) matrix = np.int8(matriz) fig1, ax1 = plt.subplots() ax1.matshow(matrix
import numpy as np
import matplotlib.pyplot as plt
matrix = np.loadtxt('C:\folder/matrix_values.txt', usecols=range(20))
matrix = np.int8(matriz)
fig1, ax1 = plt.subplots()
ax1.matshow(matrix, origin='upper', alpha=0, cmap=None, interpolation='nearest')
for i in xrange(20):
for j in xrange(20):
value = matrix[j,i]
ax1.text(i, j, str(value), va='center', ha='center')
tick_labels = range(20)
ax1.set_xticks([], minor=False)
ax1.set_xticks(np.arange(-.5, 20, 1), minor=True)
ax1.set_yticks([], minor=False)
ax1.set_yticks(np.arange(-.5, 20, 1), minor=True)
ax1.set_xticklabels([], minor=False)
ax1.set_xticklabels(tick_labels, minor=True)
ax1.set_yticklabels([], minor=False)
ax1.set_yticklabels(tick_labels, minor=True)
ax1.xaxis.set_ticks_position('bottom')
ax1.grid(which='minor', color='grey', linestyle='-', linewidth=1)
plt.show()
结果:
现在我有了一个带有一些矩阵单元坐标的数组,比如[[0,1],[0,0],[0,2]…]。该数组是随机生成的,每次运行代码时,我都会在数组中放置12个单元格的坐标,另一次可能是17等。这是一个20x20矩阵,包含400个单元格。如何绘制坐标数组中所示单元格的背景 您可以首先创建一个与原始矩阵形状相同的数组,并用零填充它。然后,在坐标数组定义的位置,将它们放入该数组中。最后绘制该数组,而不是原始矩阵
import numpy as np
import matplotlib.pyplot as plt
matrix = np.random.randint(0,9, size=(10,10))
highlight = np.array([[1,3],[4,2],[6,8],[7,2]])
hm = np.zeros_like(matrix)
hm[highlight[:,1],highlight[:,0]] = 1
fig, ax = plt.subplots()
ax.matshow(hm, origin='upper', alpha=1, vmin=0, vmax=2, cmap="Blues")
for i in range(matrix.shape[1]):
for j in range(matrix.shape[1]):
ax.text(i, j, str(matrix[j,i]), va='center', ha='center')
n = min(matrix.shape)+1
tick_labels = range(n)
ax.set_xticks([], minor=False)
ax.set_xticks(np.arange(-.5, n-1, 1), minor=True)
ax.set_yticks([], minor=False)
ax.set_yticks(np.arange(-.5, n-1, 1), minor=True)
ax.set_xticklabels([], minor=False)
ax.set_xticklabels(tick_labels, minor=True)
ax.set_yticklabels([], minor=False)
ax.set_yticklabels(tick_labels, minor=True)
ax.xaxis.set_ticks_position('bottom')
ax.grid(which='minor', color='grey', linestyle='-', linewidth=1)
plt.show()