# MinaCoding2024_ColorThemes

# ColorsReEdit

For the 2nd day of **MinaCoding2024 : "ColorTheme"** will be coded with **Python** & **Hydra**

**ColorsReEdit** remixes the Python Code of **GridToNoise** to use different color themes that are further manipulated in **Hydra** to produce the colors in the animation.

## Poetry

```ocaml
The Colors have redefined their scope
As they merge and formed for hope
To be seen
In the ever flowing river of mental streams
They edit to be shown
For their reasons to be flown
```

## Video

<iframe width="560" height="315" src="https://www.youtube.com/embed/cAlcP46dPCk?si=23r1XwGyZZ5sg9VP"></iframe>

## Code

### Hydra

```javascript
s0.initScreen()

src(s0).diff(src(s0).scale([0.55,0.65,0.75,0.85,0.95].smooth())).
modulateScale(s0,1.5).out()
```

### Python

```python
import numpy as np
import seaborn as sns
import matplotlib.pylab as plt

def battle():
    #using the 0 & 1 to represent a ship versus the ocean and having a weighted value of 0.8 for ocean, 0.18 for boats and 0.02 for mines
    boats = [0,1,2,3,4,5,6,7,8,9,10,11]
    prob = [0.025,0.025,0.05,0.05,0.05,0.05,0.1,0.1,0.1,0.1,0.2,0.15]

    #by adding the (10,10) instead of 5, able to make an array with the weighted values
    shipyard2 = np.random.choice(boats, (16,16), p=prob)
    return shipyard2



def plotting(x,color):
    letters = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P'] #set for the columns
    uniform_data = x
    ax = sns.heatmap(uniform_data, linewidth=0.5,cmap=color) #changing it to blue for ocean representation
    ax.set_xticklabels(letters) #setting the ticks of the x axis to letters
    plt.show()
    return x
```

### Colors Themes in Python

```python
plotting(battle(),"Purples")
plotting(battle(),"Oranges")
plotting(battle(),'RdBu_r')
plotting(battle(),'terrain')
plotting(battle(),'terrain')
plotting(battle(),'RdBu_r')
```