def plot_mass_fraction_vs_property_in_files(files, prop, species, legend_labels=None, **keyword_parameters): plp.set_plot_params(plt, keyword_parameters) if legend_labels: if (len(legend_labels) != len(files)): print("Invalid legend labels for input files.") return fig = plt.figure() for i in range(len(files)): x = (wx.get_properties_in_zones_as_floats(files[i], [prop]))[prop] if ('xfactor' in keyword_parameters): x /= float(keyword_parameters['xfactor']) y = wx.get_mass_fractions_in_zones(files[i], [species])[species] if legend_labels: ll, = plt.plot(x, y, label=legend_labels[i]) else: ll, = plt.plot(x, y) plp.apply_class_methods(plt, keyword_parameters) if ('use_latex_names' in keyword_parameters): if (keyword_parameters['use_latex_names'] == 'yes'): plt.ylabel('X(' + wu.get_latex_names([species])[species] + ')') if legend_labels: plt.legend() plt.show()
def plot_property(file, prop, **keyword_parameters): plp.set_plot_params(mpl, keyword_parameters) x = (wx.get_properties_in_zones_as_floats(file, [prop]))[prop] if ('xfactor' in keyword_parameters): x /= float(keyword_parameters['xfactor']) plp.apply_class_methods(plt, keyword_parameters) plt.plot(x) plt.show()
def plot_group_mass_fractions_vs_property(file, group, prop, species, **keyword_parameters): plp.set_plot_params(mpl, keyword_parameters) fig = plt.figure() y = [] l = [] latex_names = [] x = w5.get_group_properties_in_zones(file, group, [prop]) m = w5.get_group_mass_fractions(file, group) nuclide_data = w5.get_nuclide_data_hash(file) if ('xfactor' in keyword_parameters): x /= keyword_parameters['xfactor'] if ('use_latex_names' in keyword_parameters): if (keyword_parameters['use_latex_names'] == 'yes'): laxtex_names = wu.get_latex_names(species) iy = 0 for sp in species: y = np.array(map(float, m[:, nuclide_data[sp]['index']])) if (len(latex_names) != 0): lab = latex_names[sp] else: lab = sp l.append(plt.plot(x, y, label=lab)) if (len(species) != 1): plt.legend(loc='upper right', prop={'size': 14}) if ('ylabel' not in keyword_parameters): if (len(species) != 1): plt.ylabel('Mass Fraction') else: if (len(latex_names) == 0): plt.ylabel('X(' + species[0] + ')') else: plt.ylabel('X(' + latex_names[species[0]] + ')') if ('xlabel' not in keyword_parameters): plt.xlabel(prop) plp.apply_class_methods(plt, keyword_parameters) plt.show()
def plot_zone_mass_fractions_vs_property(file, zone, prop, species, **keyword_parameters): plp.set_plot_params(mpl, keyword_parameters) fig = plt.figure() x = [] y = [] l = [] latex_names = [] x = w5.get_zone_properties_in_groups_as_floats(file, zone, [prop]) m = w5.get_zone_mass_fractions_in_groups(file, zone, species) if ('xfactor' in keyword_parameters): x /= keyword_parameters['xfactor'] if ('use_latex_names' in keyword_parameters): if (keyword_parameters['use_latex_names'] == 'yes'): latex_names = wu.get_latex_names(species) for i in range(len(species)): y = np.array(list(map(float, m[species[i]]))) if (len(latex_names) != 0): lab = latex_names[species[i]] else: lab = species[i] l.append(plt.plot(x, y, label=lab)) if (len(species) != 1): plt.legend(loc='upper left', prop={'size': 14}) if ('ylabel' not in keyword_parameters): if (len(species) != 1): plt.ylabel('Mass Fraction') else: if (len(latex_names) == 0): plt.ylabel('X(' + species[0] + ')') else: plt.ylabel('X(' + latex_names[species[0]] + ')') if ('xlabel' not in keyword_parameters): plt.xlabel(prop) plp.apply_class_methods(plt, keyword_parameters) plt.show()
def plot_mass_fractions_vs_property(file, prop, species, **keyword_parameters): plp.set_plot_params(mpl, keyword_parameters) fig = plt.figure() y = [] l = [] latex_names = [] x = (wx.get_properties_in_zones_as_floats(file, [prop]))[prop] if ('xfactor' in keyword_parameters): x /= float(keyword_parameters['xfactor']) y = wx.get_mass_fractions_in_zones(file, species) if ('use_latex_names' in keyword_parameters): if (keyword_parameters['use_latex_names'] == 'yes'): latex_names = wu.get_latex_names(species) for i in range(len(species)): if (len(latex_names) != 0): lab = latex_names[species[i]] else: lab = species[i] l.append(plt.plot(x, y[species[i]], label=lab)) if ('ylabel' not in keyword_parameters): if (len(species) != 1): plt.ylabel('Mass Fraction') else: if (len(latex_names) == 0): plt.ylabel('X(' + species[0] + ')') else: plt.ylabel('X(' + latex_names[species[0]] + ')') if len(species) != 1: plt.legend() if ('xlabel' not in keyword_parameters): plt.xlabel(prop) plp.apply_class_methods(plt, keyword_parameters) plt.show()
def plot_property_vs_property(file, prop1, prop2, **keyword_parameters): plp.set_plot_params(mpl, keyword_parameters) result = wx.get_properties_in_zones_as_floats(file, [prop1, prop2]) x = result[prop1] if ('xfactor' in keyword_parameters): x /= float(keyword_parameters['xfactor']) y = result[prop2] if ('yfactor' in keyword_parameters): y /= float(keyword_parameters['yfactor']) plp.apply_class_methods(plt, keyword_parameters) plt.plot(x, y) plt.show()
def plot_mass_fractions(file, species, **keyword_parameters): plp.set_plot_params(mpl, keyword_parameters) fig = plt.figure() y = [] l = [] latex_names = [] y = wx.get_mass_fractions_in_zones(file, species) if ('use_latex_names' in keyword_parameters): if (keyword_parameters['use_latex_names'] == 'yes'): latex_names = wu.get_latex_names(species) for i in range(len(species)): if (len(latex_names) != 0): lab = latex_names[species[i]] else: lab = species[i] l.append(plt.plot(y[species[i]], label=lab)) if ('ylabel' not in keyword_parameters): if (len(species) != 1): plt.ylabel('Mass Fraction') else: if (len(latex_names) == 0): plt.ylabel('X(' + species[0] + ')') else: plt.ylabel('X(' + latex_names[species[0]] + ')') if ('xlabel' not in keyword_parameters): plt.xlabel('step') plp.apply_class_methods(plt, keyword_parameters) plt.show()