python - Use spines and tick_params in Matplotlib style sheet -



python - Use spines and tick_params in Matplotlib style sheet -

i have next python 3 code generating plot matplotlib:

import numpy np import matplotlib.pyplot 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 preferred configuration creating plots no axis borders or tick marks. axis labels, title, , grid remain. instead of writing spines , tick_params every plot figure, tried add together parameters mplstyle file. however, style file doesn't back upwards these features. there way create default configuration figures?

using axes.linewidth , major.width parameters in style sheet, i'm able replicate same effects spine , tick_params. next using in style sheet desired effects:

lines.linewidth : 2 axes.grid : true axes.linewidth : 0 xtick.major.width : 0 ytick.major.width : 0 grid.color : black

and here plot style creates:

python python-3.x numpy matplotlib

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