86 lines
2.2 KiB
Python
86 lines
2.2 KiB
Python
#!/usr/bin/env python3
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################################################################################
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# Define the prefered plotting defaults.
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# These generally translate to how I want stuff to show up in IEEE papers.
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# Note that when I do my debugging, I override figure.figsize in my testing
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# enviornment.
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################################################################################
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import matplotlib
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from matplotlib import rcParams, pyplot as pp
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from cycler import cycler
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rcParams['grid.alpha'] = 0.7
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rcParams['grid.linestyle'] = ':'
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rcParams['font.family'] = ['serif']
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rcParams['font.size'] = 8.0
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rcParams['mathtext.fontset'] = 'dejavuserif'
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rcParams['mathtext.it'] = 'serif:italic'
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rcParams['mathtext.bf'] = 'serif:bold'
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rcParams['mathtext.sf'] = 'serif'
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rcParams['mathtext.tt'] = 'monospace'
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# axes.prop_cycle
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COLOR_CYCLE_LIST = [
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[0, 0.4470, 0.7410],
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[0.8500, 0.3250, 0.0980],
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[0.4940, 0.1840, 0.5560],
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[0.4660, 0.6740, 0.1880],
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[0.3010, 0.7450, 0.9330],
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[0.6350, 0.0780, 0.1840],
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[0.9290, 0.6940, 0.1250],
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[1, 0, 1]]#,
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# [0, 1, 1],
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# [1, 0, 0],
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# [0, 1, 0]]
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rcParams['axes.prop_cycle'] = (cycler('linestyle',['-','--'])*cycler(color=COLOR_CYCLE_LIST))
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for tri in COLOR_CYCLE_LIST:
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color = '0x' + ''.join([ "%02x" % int(255*x) for x in tri])
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figures_directory='figures'
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def figAnnotateCorner(hfig, msg, corner=1, clear=True):
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if clear:
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figAnnotateClear(hfig)
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if corner in [1,2]:
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loc_x = 0.01
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algn_h = 'left'
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else:
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loc_x = 0.99
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algn_h = 'right'
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if corner in [1,4]:
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loc_y = 0.01
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algn_v = 'bottom'
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else:
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loc_y = 0.99
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algn_v = 'top'
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ax = hfig.get_axes()[0]
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hfig.text(loc_x, loc_y, msg, transform=ax.transAxes,
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va=algn_v, ha=algn_h)
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def axAnnotateCorner(ha, msg, corner=1):
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if corner in [1,2]:
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loc_x = 0.01
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algn_h = 'left'
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else:
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loc_x = 0.99
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algn_h = 'right'
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if corner in [1,4]:
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loc_y = 0.01
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algn_v = 'bottom'
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else:
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loc_y = 0.99
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algn_v = 'top'
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#ax = ha.get_axes()[0]
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ha.text(loc_x, loc_y, msg, transform=ha.transAxes,
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va=algn_v, ha=algn_h)
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def figAnnotateClear(hobj):
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if type(hobj == matplotlib.figure.Figure):
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hfig = hobj
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children = hfig.get_children()
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for child in children:
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if type(child) == matplotlib.text.Text:
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child.remove()
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