I got pretty good results with the code below. Note that I am reading the
FLIP_COLORS from a gui checkbox.
FLIP_COLORS = self.dark_background_flag.get()
if FLIP_COLORS:
matplotlib.rcParams['figure.facecolor'] = '0.0'
matplotlib.rcParams['axes.edgecolor'] = 'grey'
matplotlib.rcParams['text.color'] = 'white'
matplotlib.rcParams['ytick.color'] = '#00ff00'
matplotlib.rcParams['xtick.color'] = '#0ED5D5'
matplotlib.rcParams['axes.labelcolor'] = '#0ED5D5'
matplotlib.rcParams['axes.facecolor'] = 'black'
matplotlib.rcParams['grid.color'] = '0.3'
matplotlib.rcParams['grid.linestyle'] = '-'
matplotlib.rcParams['lines.markeredgewidth'] = 0.0
else:
matplotlib.rcdefaults()
## I seems like setting matplotlib.rcParams['figure.facecolor']
isn't
## enough. I think this is a bug and set_facecolor() is a
work-around.
fig.set_facecolor(matplotlib.rcParams['figure.facecolor'])
This will flip and also flip back. I found a few colors didn't follow
the crowd. For example, axes.ylabel.color doesn't seem to have
an entry in rcParams. For this, I have to modify the plot generation
statments something like:
ax.set_ylabel('Voltage (volts)',
color=matplotlib.rcParams['ytick.color'])
That sets the ylabel text to be the same as the tick marks. I also have to
do things like that to change line colors and such when
going flipping colors.
DavidS
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