[英]Matplotlib several figures matrix at the same time
我正在使用matplotlib python開發代碼,以顯示兩個軸之間的關系,並且我想在第一張圖旁邊的另一張圖中繪制該行的總和。 主要問題是我想在另一個矩陣中進行操作,相對於第一個矩陣的距離最小。 我附上了繪圖解決方案的整個代碼:
import matplotlib.pyplot as plt
from matplotlib import colors
import numpy as np
matr=[[1,0,0],[0,0,1],[1,1,0],[0,0,1]]
def plot_tools(matrix=matr,sigma=[1,2,3,4],m=[1,2,3],name='a'):
#matrix=matrix with numbers
#sigma= values for the y axis
#m=values for the x axis
#name=name for the image
W=np.array(matrix)
id_matrix=W
id_labels=m #nombre para el eje x
fig, ax = plt.subplots()
cmap = colors.ListedColormap(['lavender','purple'])
mat = ax.imshow(id_matrix, interpolation='nearest',cmap=cmap)
plt.suptitle('Plot:')
plt.yticks(range(id_matrix.shape[0]), sigma) #label for y axis
plt.xticks(range(id_matrix.shape[1]), id_labels) #label for x axis
ax.xaxis.tick_top()
plt.xticks(rotation=0)
plt.ylabel('Y axis',fontsize=13)
plt.xlabel('X axis',fontsize=13)
major_ticks = np.arange(0, len(sigma), 1)
ax.set_yticks(major_ticks)
ax.set_yticks(major_ticks, minor=True)
temp=0
for x in xrange(id_matrix.shape[0]):
for y in xrange(id_matrix.shape[1]):
if id_matrix[x, y]==1:
temp+=1
ax.annotate(str(temp), xy=(y, x),horizontalalignment='center', verticalalignment='center')
plt.savefig('Images/' + str(name) + '.png')
plt.show()
一個最簡單的方法是使用次要情節 ,在這兩個數字共享Y軸,你可以看到在這個例子 。
或多或少像這樣:
import matplotlib.pyplot as plt
from matplotlib import colors
import numpy as np
matr=[[1,0,0],[0,0,1],[1,1,0],[0,0,1]]
def plot_tools(matrix=matr,sigma=[1,2,3,4],m=[1,2,3],name='a'):
#matrix=matrix with numbers
#sigma= values for the y axis
#m=values for the x axis
#name=name for the image
W=np.array(matrix)
id_matrix=W
id_labels=m #nombre para el eje x
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
cmap = colors.ListedColormap(['lavender','purple'])
mat = ax1.imshow(id_matrix, interpolation='nearest',cmap=cmap)
plt.suptitle('Plot:')
plt.yticks(range(id_matrix.shape[0]), sigma) #label for y axis
plt.xticks(range(id_matrix.shape[1]), id_labels) #label for x axis
ax1.xaxis.tick_top()
plt.xticks(rotation=0)
plt.ylabel('Y axis',fontsize=13)
plt.xlabel('X axis',fontsize=13)
major_ticks = np.arange(0, len(sigma), 1)
ax2.set_yticks(major_ticks)
ax2.set_yticks(major_ticks, minor=True)
temp=0
for x in xrange(id_matrix.shape[0]):
for y in xrange(id_matrix.shape[1]):
if id_matrix[x, y]==1:
temp+=1
ax2.annotate(str(temp), xy=(y, x),horizontalalignment='center', verticalalignment='center')
#plt.savefig('Images/' + str(name) + '.png')
plt.show()
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