#!/usr/bin/env python3 ################################################################################ # Define the prefered plotting defaults. # These generally translate to how I want stuff to show up in IEEE papers. # Note that when I do my debugging, I override figure.figsize in my testing # enviornment. ################################################################################ import matplotlib from matplotlib import rcParams, pyplot as pp from cycler import cycler rcParams['grid.alpha'] = 0.5 rcParams['grid.linestyle'] = ':' rcParams['font.family'] = ['serif'] rcParams['font.size'] = 6.5 rcParams['mathtext.fontset'] = 'dejavuserif' rcParams['mathtext.fontset'] = 'dejavuserif' rcParams['mathtext.it'] = 'serif:italic' rcParams['mathtext.bf'] = 'serif:bold' rcParams['mathtext.sf'] = 'serif' rcParams['mathtext.tt'] = 'monospace' # axes.prop_cycle COLOR_CYCLE_LIST = [ [0, 0.4470, 0.7410], [0.8500, 0.3250, 0.0980], [0.4940, 0.1840, 0.5560], [0.4660, 0.6740, 0.1880], [0.3010, 0.7450, 0.9330], [0.6350, 0.0780, 0.1840], [0.9290, 0.6940, 0.1250], [1, 0, 1]]#, # [0, 1, 1], # [1, 0, 0], # [0, 1, 0]] rcParams['axes.prop_cycle'] = (cycler('linestyle',['-','--'])*cycler(color=COLOR_CYCLE_LIST)) for tri in COLOR_CYCLE_LIST: color = '0x' + ''.join([ "%02x" % int(255*x) for x in tri]) figures_directory='figures' def figAnnotateCorner(hfig, msg, corner=1, clear=True): if clear: figAnnotateClear(hfig) if corner in [1,2]: loc_x = 0.01 algn_h = 'left' else: loc_x = 0.99 algn_h = 'right' if corner in [1,4]: loc_y = 0.01 algn_v = 'bottom' else: loc_y = 0.99 algn_v = 'top' ax = hfig.get_axes()[0] hfig.text(loc_x, loc_y, msg, transform=ax.transAxes, va=algn_v, ha=algn_h) def axAnnotateCorner(ha, msg, corner=1): if corner in [1,2]: loc_x = 0.01 algn_h = 'left' else: loc_x = 0.99 algn_h = 'right' if corner in [1,4]: loc_y = 0.01 algn_v = 'bottom' else: loc_y = 0.99 algn_v = 'top' #ax = ha.get_axes()[0] ha.text(loc_x, loc_y, msg, transform=ha.transAxes, va=algn_v, ha=algn_h) def figAnnotateClear(hobj): if type(hobj == matplotlib.figure.Figure): hfig = hobj children = hfig.get_children() for child in children: if type(child) == matplotlib.text.Text: child.remove()