# Genuary2026_RecursionGrids

# GridDownSize

**GridDownSize**  is coded in ***Python*** with *Grids that are recursively plotted* `[Prompt 26 of Genuary2026`\]

## Poetry

```python
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
```

## Video

%[https://youtu.be/W0aZe4gSf5w] 

## Code

### Python

```python
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)
```

```python
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)
```

```python
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)
```

```python
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)
```