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https://github.com/tom-draper/matplotlib-colors

A collection of curated color profiles for matplotlib.
https://github.com/tom-draper/matplotlib-colors

colors colorschemes data-visualization graph matplotlib matplotlib-styles plot python styles vizualisation

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A collection of curated color profiles for matplotlib.

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README

        

# Matplotlib Colors

A collection of curated colors and colormaps for matplotlib.



## Installation

```bash
pip install matplotlib-colors
```

## Demo

[All colors and colormaps](matplotlib_colors/README.md)

## Examples

### Colormaps

Call the `register_cmaps` function to add the new colormaps to matplotlib. Then the desired colormap can be specified by name as the `cmap` argument.

```py
from matplotlib_colors import register_cmaps
register_cmaps() # Adds new colormaps to matplotlib

# Build your data viz as normal with matplotlib
import numpy as np
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
y = [x * x for x in x]
plt.scatter(x, y, c=range(12), cmap='analyst') # Specify one of the new colormap names
plt.colorbar()
plt.show()
```

Alternatively, all new colormap objects can be accessed directly by importing the `colormaps` dict and specifying a colormap by name.

```py
from matplotlib_colors import colormaps
import numpy as np
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
y = [x * x for x in x]
plt.scatter(x, y, c=range(12), cmap=colormaps['analyst']) # Specify a colormap from colormaps dict
plt.colorbar()
plt.show()
```

The full list of colormap names can be found by importing the `colormap_names` list.

```py
from matplotlib_colors import colormap_names
```

### Colors

The package includes a large selection of colors that can be accessed directly by importing `colors` and specifying a color name.

```py
from matplotlib_colors import colors
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
y = [x * x for x in x]
plt.scatter(x, y, c=colors['pl_red']) # All points colored with PL_RED
plt.colorbar()
plt.show()
```

The full list of color names can be found by importing the `color_names` list.

```py
from matplotlib_colors import color_names
```