python - How to adjust color of certain features for figure with transparent background -

i saving plots transparent background paste on dark background. can fix things, 2 things don't know how "brighten up" visible.

1) square box of axes each of plots in figure.

2) little black "1e11" thing.

i suppose i'd plots same if simpler, interest piqued if there way each separately (e.g. red border 1 plot, green another).

import matplotlib.pyplot plt import numpy np  tau = 2.*np.pi  theta = np.linspace(0, tau) x = 1.4e+11 + 0.9e+10 * np.cos(theta) y = 3.3e+10 + 4.5e+09 * np.sin(theta)  fig = plt.figure(figsize=(10,5)) fig.patch.set_alpha(0.0)  ax1 = fig.add_axes([0.08, 0.15, 0.4, 0.8]) ax2 = fig.add_axes([0.55, 0.15, 0.4, 0.8])  grey1 = (0.5, 0.5, 0.5) grey2 = (0.7, 0.7, 0.7)  ax1.patch.set_facecolor(grey1) ax1.patch.set_alpha(1.0)  ax1.set_xlabel('time (sec)', fontsize = 16, color=grey2) ax1.tick_params(axis='both', which='major', labelsize = 16, colors=grey2)  ax1.plot(x, y)  plt.savefig('nicefig')   # don't need: transparent=true plt.show() 

the simplest approach change default settings:

import matplotlib.pyplot plt import numpy np  # define colors grey1 = (0.5, 0.5, 0.5) grey2 = (0.7, 0.7, 0.7)  plt.rcparams['lines.color'] = grey2 plt.rcparams['xtick.color'] = grey2 plt.rcparams['ytick.color'] = grey2 plt.rcparams['axes.labelcolor'] = grey2 plt.rcparams['axes.edgecolor'] = grey2  # rest of code goes here .... 

result:

however, apply changes axes. if want keep standard colors on ax2, have dig axes object , find corresponding artists lines , text elements:

# plotting code goes here ...  # change box color plt.setp(ax1.spines.values(), color=grey2)  # change colors of ticks plt.setp([ax1.get_xticklines(), ax1.get_yticklines()], color=grey2)  # change colors of labels plt.setp([ax1.xaxis.get_label(), ax1.yaxis.get_label()], color=grey2)  # change color of tick labels plt.setp([ax1.get_xticklabels(), ax1.get_yticklabels()], color=grey2)  # change color of axis offset texts (the 1e11 thingy) plt.setp([ax1.xaxis.get_offset_text(), ax1.yaxis.get_offset_text()], color=grey2)  plt.show() 

result: