All Projects → dantaki → Vapeplot

dantaki / Vapeplot

Licence: gpl-2.0
matplotlib extension for vaporwave aesthetics

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vapeplot


matplotlib extension for vaporwave aesthetics


install

pip install vapeplot

demo

view all palettes

import vapeplot
%matplotlib inline

vapeplot.available()

alt text

try from vapeplot import vapeplot if the above commands failed

view specific palettes

vapeplot.view_palette("cool",'sunset')

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set the color palette

import numpy as np
import matplotlib.pyplot as plt

vapeplot.set_palette('vaporwave')
for i in range(10):
    plt.plot(range(100),np.random.normal(i,1,100))
vapeplot.despine(plt.axes())  # remove right and top axes

alt text

make a colormap

cmap = vapeplot.cmap('crystal_pepsi')
A = np.random.rand(25, 25)
plt.imshow(A,cmap=cmap)
vapeplot.despine(plt.axes(),True)  # remove all axes
plt.show()

alt text

access a palette

# cool is a list of colors
cool = vapeplot.palette("cool")

# reverse the order of colors
seapunk_r = vapeplot.reverse("seapunk")


examples

plots produced with seaborn tutorials

set the palette with vapeplot

pal =  sns.blend_palette(vapeplot.palette(palname))

g = sns.FacetGrid(df, row="g",hue="g", palette=pal)

cool

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crystal_pepsi

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jazzcup

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macplus

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mallsoft

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seapunk

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sunset

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vaporwave

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Contributer palettes, submit your pull request!

avanti by mike-u

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api

  • vapeplot.available(show=True)

    • function to plot all vapeplot palettes
    • show=False prints palette names
  • vapeplot.cmap(palname)

    • returns a colormap object
    • palname is the name of the color palette
  • vapeplot.despine(ax,all=False)

    • removes figure axes
    • default action: remove right and top axes
    • all=True removes all axes
  • vapeplot.font_size(s)

    • change the font size globally
  • vapeplot.palette(palname)

    • returns a list of colors
    • if no palname is given, a dict of all the palettes is returned
  • vapeplot.reverse(palname)

    • returns a list of colors in reverse
  • vapeplot.set_palette(palname)

    • change the color palette globally
  • vapeplot.view_palette(*args)

    • view individual palettes
    • arguments: one or more palette names

more to come 😉

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