Playing with matplotlib

matplotlib.py

  
rcOpts = {'figure.figsize': (6.0,4.0),
        # play nicely with white background in the Qt and notebook frontend
        'figure.facecolor': 'white',
        'figure.edgecolor': 'white',
        # 12pt labels get cutoff on 6x4 logplots, so use 10pt.
        'font.size': 10,
        # 72 dpi matches SVG/qtconsole
        # this only affects PNG export, as SVG has no dpi setting
        'savefig.dpi': 72,
        # 10pt still needs a little more room on the xlabel:
        'figure.subplot.bottom' : .125
        }

from io import BytesIO
import base64
import matplotlib
# matplotlib.interactive(True)
matplotlib.interactive(False)

from matplotlib import pyplot
pyplot.rcParams.update(rcOpts)

from pylab import *
from matplotlib._pylab_helpers import Gcf

plot([1,2,3])

fig = Gcf.get_all_fig_managers()[0].canvas.figure

fc = fig.get_facecolor()
ec = fig.get_edgecolor()

bytes_io = BytesIO()
fig.canvas.print_figure(bytes_io, format='png', bbox_inches='tight', facecolor=fc, edgecolor=ec)
data = bytes_io.getvalue()

print("DATA = %s" %(base64.b64encode(data)))