If you are using matplotlib, a popular Python plotting library, to create visuals for your projects, you may sometimes need to extract the hexadecimal color codes from the colormap. You can easily do this by following these steps:
Matplotlib get_cmap() function
First, import Matplotlib and create a colormap object. Make sure to include an array of values between 0 and 1 to sample from the colormap:
import matplotlib.pyplot as plt
cmap = plt.cm.get_cmap('Spectral', 10)
colors = cmap(np.linspace(0,1,10))
Create a list of hexadecimal values
Then you can loop through the array of colors to get the desired hexadecimal values:
hex_colors = []
for color in colors:
hex_color = matplotlib.colors.to_hex(color)
hex_colors.append(hex_color)
Get each hexadecimal values
Finally, you can access each value in the list of hexadecimal values:
for i in range(len(hex_colors)):
print("Hex code for color ", i, " is:", hex_colors)
By following these steps, you can easily extract the hexadecimal color codes from a Matplotlib colormap. This can be a helpful tool for creating visuals that are more vibrant and eye-catching.
References
Links | Site |
---|---|
Choosing Colormaps in Matplotlib | matplotlib.org |
matplotlib.cm | matplotlib.org |
How to create a discrete colorbar with matplotlib ? | en.moonbooks.org |
to_hex | matplotlib.org |
rgb2hex | matplotlib.org |