I want to make a cool plot with Matplotlib

The seaborn plot is cool. I thought it was annoying to import every time, but I realized that I could use the seaborn style without importing ** seaborn **. (Maybe it's natural?) Of course, you need to have seaborn installed in advance. Make a note of what kind of plot you can make.

Check what style you have

The style file is xxx.mplstyle in the folder matplotlib / mpl-data / stylelib. Of course you can also make it yourself. After all, each style has its advantages and disadvantages, so it may be best to make it yourself.

Content example: dark_background.mplstyle


 Set black background default line colors to white.

lines.color: white
patch.edgecolor: white

text.color: white

axes.facecolor: black
axes.edgecolor: white
axes.labelcolor: white
axes.prop_cycle: cycler('color', ['8dd3c7', 'feffb3', 'bfbbd9', 'fa8174', '81b1d2', 'fdb462', 'b3de69', 'bc82bd', 'ccebc4', 'ffed6f'])

xtick.color: white
ytick.color: white

grid.color: white

figure.facecolor: black
figure.edgecolor: black

savefig.facecolor: black
savefig.edgecolor: black

It seems good to choose the style you want to base on and play around with it yourself.

Examples

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
def testplot():
    x=np.arange(21)
    for i in range(2,9):
        y=i*0.3*np.sin(np.pi/10*x)
        plt.plot(x,y,'o-',label=str(i-1))
    
    plt.legend()
    plt.show()

####Plt to put the spell you did here.style.use()####
testplot()

Default

When you don't cast any spells.

plt.style.use('default') For some reason, unlike the default, it's confusing. And the same result as plt.style.use ('classic').

plt.style.use('bmh')

plt.style.use('dark_background')

plt.style.use('fivethirtyeight')

plt.style.use('ggplot')

plt.style.use('grayscale') This is probably the style originally included in matplotlib.

plt.style.use('seaborn-bright')

plt.style.use('seaborn-colorblind')

plt.style.use('seaborn-dark')

plt.style.use('seaborn-dark-palette')

plt.style.use('seaborn-darkgrid')

plt.style.use('seaborn-deep')

plt.style.use('seaborn-muted')

plt.style.use('seaborn-pastel')

plt.style.use('seaborn-ticks') The tick is now facing out.

plt.style.use('seaborn-white') And it's gone.

plt.style.use('seaborn-whitegrid')

Can be used in combination!

plt.style.use('seaborn-colorblind')
plt.style.use('seaborn-whitegrid')

Resize style

The frame line is gone. I prefer this one. And since the characters etc. become larger according to the size, it seems to be convenient when you want to increase the resolution. If you want to resize, it seems good to declare the resize style first. seaborn-paper<seaborn-notebook<seaborn-talk<seaborn-poster

Finally

Please let us know if you have any other recommended styles!

Change the style of matplotlib