CODEWITHSUNDEEP
pythonpython-3.xnumpymatplotlib
wigging
wigging

Reputation: 9180

Use spines and tick_params in Matplotlib style sheet

I have the following Python 3 code for generating a plot with matplotlib:

import numpy as np
import matplotlib.pyplot as py

x = np.arange(0, 10, 0.1)
y = np.sin(x)

py.figure(1)
py.plot(x, y, c='g', lw=2)
py.ylim(-1.1, 1.1)
py.title('Plot Title')
py.ylabel('Y label')
py.xlabel('X label')
py.gca().spines['top'].set_visible(False)
py.gca().spines['right'].set_visible(False)
py.gca().spines['bottom'].set_visible(False)
py.gca().spines['left'].set_visible(False)
py.tick_params(top='off', right='off', bottom='off', left='off')
py.grid()
py.show()

This is my preferred configuration for creating plots with no axis borders or tick marks. Only the axis labels, title, and grid remain. Instead of writing the spines and tick_params for every plot figure, I tried to add the parameters to a mplstyle file. However, the style file doesn't support these features. Is there a way to make this the default configuration for all figures?

Upvotes: 0

Views: 1193

Answers (1)

wigging
wigging

Reputation: 9180

Using the axes.linewidth and the major.width parameters in the style sheet, I'm able to replicate the same effects as the spine and tick_params. The following is what I am currently using in my style sheet to get the desired effects:

lines.linewidth : 2

axes.grid : True  
axes.linewidth : 0

xtick.major.width : 0
ytick.major.width : 0

grid.color : black

And here is the plot that the style creates:

enter image description here

Upvotes: 1

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