Python data Analysis matplotlib sets the spacing method for multiple subgraphs

Note that simple knowledge of Python data analysis is essential to understand this, and simple use of matplotlib is essential!

Case 1:

plt.subplot(221) #  The first 1 The left 

plt.subplot(222) #  The first 1 The right 

plt.subplot(212) #  The first 2 The entire line 

plt.title( ' xxx')

plt.tight_layout() # Set the default spacing 

Example 2:

for i in range(25):

plt.subplot(5,5,i+1)

plt.tight_layout()

Example 3:

#  Set the size of the drawing board 
plt.figure(figsize=(12,16))
#  To establish 1 Loop, output picture 
for i,data in enumerate(xtest[:100]):
#   Set the subgraph and output each subgraph to the corresponding position 
 plt.subplot(10,10,i+1)
#   Output the image, the data taken out must be processed before output, for example 8*8
 plt.imshow(data.reshape(8,8))
#   The title of the test and the actual title are printed 
 plt.title('C:'+str(y_[i])+'\nT:'+str(ytrue[:100][i]),size=20)
#   Turn off the x y Scale of the shaft 
 plt.axis('off')
#   Adjust the distance between each subgraph 
 plt.tight_layout()