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GridDownSize is coded in Python with Grids that are recursively plotted [Prompt 26 of Genuary2026]
Grids Recursively Created
Each plot, a presence of the past
An element that isn’t moving too fast
As a reminisce of the grid that it is related
To maintain the legacy of class
import numpy as np
import matplotlib.pyplot as plt
def grid(d):
colorpalettes = ['spring', 'summer', 'autumn', 'winter', 'cool',
'Wistia', 'hot', 'afmhot', 'gist_heat']
C = np.random.randint(low=0, high=d, size=(d, d))
plt.imshow(C, cmap= colorpalettes[d])
plt.axis('off') # Hide all axes
plt.show()
if d == 0 or d == 1:
return 1
else:
return grid(d - 1)
grid(7)
import numpy as np
import matplotlib.pyplot as plt
def grid(d):
C = np.random.randint(low=0, high=d, size=(d, d))
plt.imshow(C, cmap='bwr_r')
plt.axis('off') # Hide all axes
plt.show()
if d == 0 or d == 1:
return 1
else:
return grid(d - 1)
grid(7)
import numpy as np
import matplotlib.pyplot as plt
import random as rd
def grid(d):
colorpalettes = ['spring', 'summer', 'autumn', 'winter', 'cool',
'Wistia', 'hot', 'afmhot', 'gist_heat']
rd.shuffle(colorpalettes)
C = np.random.randint(low=0, high=d, size=(d, d+1))
plt.imshow(C, cmap= colorpalettes[d])
plt.axis('off') # Hide all axes
plt.show()
if d == 0 or d == 1:
return 1
else:
return grid(d - 1)
grid(7)
import numpy as np
import matplotlib.pyplot as plt
import random as rd
def grid(d):
colorpalettes = ['spring', 'summer', 'autumn', 'winter', 'cool']
colorpalettes2 = ['Wistia', 'hot', 'afmhot', 'gist_heat']
rd.shuffle(colorpalettes)
rd.shuffle(colorpalettes2)
palettes = []
palettes.append(colorpalettes[1:5]+ colorpalettes2[1:5])
#print(palettes)
rd.shuffle(palettes)
C = np.random.randint(low=0, high=d, size=(d, d+1))
plt.imshow(C, cmap= palettes[0][d-1])
plt.axis('off') # Hide all axes
plt.show()
if d == 0 or d == 1:
return 1
else:
return grid(d - 1)
grid(7)
grid(7)