如何限制重试次数？(How to restrict retry attempts?)

 matplotlib.pyplot具有当前图形和当前轴的概念。 所有绘图命令都适用于当前轴。 
 
import matplotlib.pyplot as plt

fig, axarr = plt.subplots(2, 3)     # 6 axes, returned as a 2-d array

#1 The first subplot
plt.sca(axarr[0, 0])                # set the current axes instance to the top left
# plot your data
result.plot(kind='bar', alpha=0.75, rot=0, label="Presence / Absence of cultural centre")

#2 The second subplot
plt.sca(axarr[0, 1])                # set the current axes instance 
# plot your data

#3 The third subplot
plt.sca(axarr[0, 2])                # set the current axes instance 
# plot your data
 
 
 演示： 
 
  
 
 源代码， 
 
import matplotlib.pyplot as plt
fig, axarr = plt.subplots(2, 3, sharex=True, sharey=True)     # 6 axes, returned as a 2-d array

for i in range(2):
    for j in range(3):
        plt.sca(axarr[i, j])                        # set the current axes instance 
        axarr[i, j].plot(i, j, 'ro', markersize=10) # plot 
        axarr[i, j].set_xlabel(str(tuple([i, j])))  # set x label
        axarr[i, j].get_xaxis().set_ticks([])       # hidden x axis text
        axarr[i, j].get_yaxis().set_ticks([])       # hidden y axis text

plt.show()

matplotlib.pyplot has the concept of the current figure and the current axes. All plotting commands apply to the current axes.
 
import matplotlib.pyplot as plt

fig, axarr = plt.subplots(2, 3)     # 6 axes, returned as a 2-d array

#1 The first subplot
plt.sca(axarr[0, 0])                # set the current axes instance to the top left
# plot your data
result.plot(kind='bar', alpha=0.75, rot=0, label="Presence / Absence of cultural centre")

#2 The second subplot
plt.sca(axarr[0, 1])                # set the current axes instance 
# plot your data

#3 The third subplot
plt.sca(axarr[0, 2])                # set the current axes instance 
# plot your data
 
 
Demo:
 
 
The source code,
 
import matplotlib.pyplot as plt
fig, axarr = plt.subplots(2, 3, sharex=True, sharey=True)     # 6 axes, returned as a 2-d array

for i in range(2):
    for j in range(3):
        plt.sca(axarr[i, j])                        # set the current axes instance 
        axarr[i, j].plot(i, j, 'ro', markersize=10) # plot 
        axarr[i, j].set_xlabel(str(tuple([i, j])))  # set x label
        axarr[i, j].get_xaxis().set_ticks([])       # hidden x axis text
        axarr[i, j].get_yaxis().set_ticks([])       # hidden y axis text

plt.show()