[refs #195] changed some default parameters for plotting the histograms
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@ -144,7 +144,7 @@ class Comparison(object):
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std_array.append(phases[phase].standard_deviation())
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return std_array
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def hist_expectation(self, phases='all', bins=50, normed=False):
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def hist_expectation(self, phases='all', bins=20, normed=False):
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phases.strip()
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if phases.find('all') is 0:
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phases = 'ps'
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@ -154,7 +154,7 @@ class Comparison(object):
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for n, phase in enumerate(phases):
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ax = axarray[n]
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data = self.get_expectation_array(phase)
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xlims = [np.floor(min(data)), np.ceil(max(data))]
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xlims = [min(data), max(data)]
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ax.hist(data, range=xlims, bins=bins, normed=normed)
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title_str = 'phase: {0}, samples: {1}'.format(phase, len(data))
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ax.set_title(title_str)
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@ -164,7 +164,7 @@ class Comparison(object):
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plt.setp([a.get_yticklabels() for a in axarray[1:]], visible=False)
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plt.show()
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def hist_standard_deviation(self, phases='all', bins=50, normed=False):
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def hist_standard_deviation(self, phases='all', bins=20, normed=False):
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phases.strip()
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if phases.find('all') == 0:
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phases = 'ps'
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@ -174,7 +174,7 @@ class Comparison(object):
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for n, phase in enumerate(phases):
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ax = axarray[n]
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data = self.get_std_array(phase)
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xlims = [np.floor(min(data)), np.ceil(max(data))]
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xlims = [min(data), max(data)]
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ax.hist(data, range=xlims, bins=bins, normed=normed)
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title_str = 'phase: {0}, samples: {1}'.format(phase, len(data))
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ax.set_title(title_str)
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