def __init__(self, plot_settings, title="Unnamed", x_label=None, y_label=None): self._title = title self._plot_settings = plot_settings if self._plot_settings is None: raise ValueError('PlotConfig needs a non-None plot settings.') self._line_color_cycle_colors = ["#000000"] self._line_color_cycle = itertools.cycle(self._line_color_cycle_colors) #Black # Blueish, Greenlike, Beigeoid, Pinkness, Orangy-Brown self.setLineColorCycle(["#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) # alternative color cycle: # ["#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#ffff33", # "#a65628", "#f781bf" ,"#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"] self._legend_items = [] self._legend_labels = [] self._x_label = x_label self._y_label = y_label self._limits = PlotLimits() self._default_style = PlotStyle(name="Default", color=None, alpha=0.8) self._refcase_style = PlotStyle(name="Refcase", alpha=0.8, line_style="--", marker="", width=2.0, enabled=self._plot_settings["SHOW_REFCASE"]) self._history_style = PlotStyle(name="History", alpha=0.8, marker=".", width=2.0, enabled=self._plot_settings["SHOW_HISTORY"]) self._observs_style = PlotStyle(name="Observations", line_style="-", alpha=0.8, marker=".", width=1.0, color="#000000") self._histogram_style = PlotStyle(name="Histogram", width=2.0) self._distribution_style = PlotStyle(name="Distribution", line_style="", marker="o", alpha=0.5, size=10.0) self._distribution_line_style = PlotStyle(name="Distribution Lines", line_style="-", alpha=0.25, width=1.0) self._distribution_line_style.setEnabled(False) self._current_color = None self._legend_enabled = True self._grid_enabled = True self._statistics_style = { "mean": PlotStyle("Mean", line_style=""), "p50": PlotStyle("P50", line_style=""), "min-max": PlotStyle("Min/Max", line_style=""), "p10-p90": PlotStyle("P10-P90", line_style=""), "p33-p67": PlotStyle("P33-P67", line_style=""), "std": PlotStyle("Std dev", line_style="") } self._std_dev_factor = 1 # sigma 1 is default std dev
def test_plot_limits_construction(self): plot_limits = PlotLimits() self.assertEqual(plot_limits.value_minimum, None) self.assertEqual(plot_limits.value_maximum, None) self.assertEqual(plot_limits.value_limits, (None, None)) self.assertEqual(plot_limits.index_minimum, None) self.assertEqual(plot_limits.index_maximum, None) self.assertEqual(plot_limits.index_limits, (None, None)) self.assertEqual(plot_limits.count_minimum, None) self.assertEqual(plot_limits.count_maximum, None) self.assertEqual(plot_limits.count_limits, (None, None)) self.assertEqual(plot_limits.density_minimum, None) self.assertEqual(plot_limits.density_maximum, None) self.assertEqual(plot_limits.density_limits, (None, None)) self.assertEqual(plot_limits.depth_minimum, None) self.assertEqual(plot_limits.depth_maximum, None) self.assertEqual(plot_limits.depth_limits, (None, None)) self.assertEqual(plot_limits.date_minimum, None) self.assertEqual(plot_limits.date_maximum, None) self.assertEqual(plot_limits.date_limits, (None, None))
def test_copy_plot_limits(self): plot_limits = PlotLimits() plot_limits.value_limits = 1, 2 plot_limits.index_limits = 3, 4 plot_limits.count_limits = 5, 6 plot_limits.depth_limits = 7, 8 plot_limits.density_limits = 9, 10 plot_limits.date_limits = datetime.date(1999, 1, 1), datetime.date(1999, 12, 31) copy_of_plot_limits = PlotLimits() copy_of_plot_limits.copyLimitsFrom(plot_limits) self.assertEqual(copy_of_plot_limits, plot_limits) self.assertEqual(copy_of_plot_limits.value_limits, (1, 2)) self.assertEqual(copy_of_plot_limits.index_limits, (3, 4)) self.assertEqual(copy_of_plot_limits.count_limits, (5, 6)) self.assertEqual(copy_of_plot_limits.depth_limits, (7, 8)) self.assertEqual(copy_of_plot_limits.density_limits, (9, 10)) self.assertEqual(copy_of_plot_limits.date_limits, (datetime.date(1999, 1, 1), datetime.date(1999, 12, 31)))
def __init__(self, title="Unnamed", x_label=None, y_label=None): super(PlotConfig, self).__init__() self._title = title self._line_color_cycle_colors = ["#000000"] self._line_color_cycle = itertools.cycle(self._line_color_cycle_colors) #Black # Blueish, Greenlike, Beigeoid, Pinkness, Orangy-Brown self.setLineColorCycle(["#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) # self.setLineColorCycle(["#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#ffff33", "#a65628", "#f781bf" ,"#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) self._legend_items = [] self._legend_labels = [] self._x_label = x_label self._y_label = y_label self._limits = PlotLimits() self._default_style = PlotStyle(name="Default", color=None, alpha=0.8) self._refcase_style = PlotStyle(name="Refcase", alpha=0.8, marker="x", width=2.0) self._history_style = PlotStyle(name="History", alpha=0.8, marker="D", width=2.0) # Insanely ugly implementation of user preferences. if os.getenv("ERT_SHOW_HISTORY_VECTORS"): self._history_style.setEnabled(True) else: self._history_style.setEnabled(False) self._observation_style = PlotStyle(name="Observations") self._histogram_style = PlotStyle(name="Histogram", width=2.0) self._distribution_style = PlotStyle(name="Distribution", line_style="", marker="o", alpha=0.5, size=10.0) self._distribution_line_style = PlotStyle(name="Distribution Lines", line_style="-", alpha=0.25, width=1.0) self._distribution_line_style.setEnabled(False) self._current_color = None self._legend_enabled = True self._grid_enabled = True self._statistics_style = { "mean": PlotStyle("Mean", line_style=""), "p50": PlotStyle("P50", line_style=""), "min-max": PlotStyle("Min/Max", line_style=""), "p10-p90": PlotStyle("P10-P90", line_style=""), "p33-p67": PlotStyle("P33-P67", line_style=""), "std": PlotStyle("Std dev", line_style="") } self._std_dev_factor = 1 # sigma 1 is default std dev
def test_plot_config(self): ps = PlotSettings() plot_config = PlotConfig(ps, "Golden Sample", x_label="x", y_label="y") limits = PlotLimits() limits.count_limits = 1, 2 limits.depth_limits = 3, 4 limits.density_limits = 5, 6 limits.date_limits = datetime.date(2005, 2, 5), datetime.date(2006, 2, 6) limits.index_limits = 7, 8 limits.value_limits = 9.0, 10.0 plot_config.limits = limits self.assertEqual(plot_config.limits, limits) plot_config.setDistributionLineEnabled(True) plot_config.setLegendEnabled(False) plot_config.setGridEnabled(False) plot_config.setRefcaseEnabled(False) plot_config.setObservationsEnabled(False) style = PlotStyle("test_style", line_style=".", marker="g", width=2.5, size=7.5) plot_config.setDefaultStyle(style) plot_config.setRefcaseStyle(style) plot_config.setStatisticsStyle("mean", style) plot_config.setStatisticsStyle("min-max", style) plot_config.setStatisticsStyle("p50", style) plot_config.setStatisticsStyle("p10-p90", style) plot_config.setStatisticsStyle("p33-p67", style) plot_config.setStatisticsStyle("std", style) copy_of_plot_config = PlotConfig(ps, "Copy of Golden Sample") copy_of_plot_config.copyConfigFrom(plot_config) self.assertEqual(plot_config.isLegendEnabled(), copy_of_plot_config.isLegendEnabled()) self.assertEqual(plot_config.isGridEnabled(), copy_of_plot_config.isGridEnabled()) self.assertEqual(plot_config.isObservationsEnabled(), copy_of_plot_config.isObservationsEnabled()) self.assertEqual(plot_config.isDistributionLineEnabled(), copy_of_plot_config.isDistributionLineEnabled()) self.assertEqual(plot_config.refcaseStyle(), copy_of_plot_config.refcaseStyle()) self.assertEqual(plot_config.observationsStyle(), copy_of_plot_config.observationsStyle()) self.assertEqual(plot_config.histogramStyle(), copy_of_plot_config.histogramStyle()) self.assertEqual(plot_config.defaultStyle(), copy_of_plot_config.defaultStyle()) self.assertEqual(plot_config.currentColor(), copy_of_plot_config.currentColor()) self.assertEqual(plot_config.getStatisticsStyle("mean"), copy_of_plot_config.getStatisticsStyle("mean")) self.assertEqual(plot_config.getStatisticsStyle("min-max"), copy_of_plot_config.getStatisticsStyle("min-max")) self.assertEqual(plot_config.getStatisticsStyle("p50"), copy_of_plot_config.getStatisticsStyle("p50")) self.assertEqual(plot_config.getStatisticsStyle("p10-p90"), copy_of_plot_config.getStatisticsStyle("p10-p90")) self.assertEqual(plot_config.getStatisticsStyle("p33-p67"), copy_of_plot_config.getStatisticsStyle("p33-p67")) self.assertEqual(plot_config.getStatisticsStyle("std"), copy_of_plot_config.getStatisticsStyle("std")) self.assertEqual(plot_config.title(), copy_of_plot_config.title()) self.assertEqual(plot_config.limits, copy_of_plot_config.limits) plot_config.currentColor() # cycle state will not be copied plot_config.nextColor() copy_of_plot_config = PlotConfig(ps, "Another Copy of Golden Sample") copy_of_plot_config.copyConfigFrom(plot_config) self.assertEqual(plot_config.refcaseStyle(), copy_of_plot_config.refcaseStyle()) self.assertEqual(plot_config.observationsStyle(), copy_of_plot_config.observationsStyle()) self.assertNotEqual(plot_config.histogramStyle(), copy_of_plot_config.histogramStyle()) self.assertNotEqual(plot_config.defaultStyle(), copy_of_plot_config.defaultStyle()) self.assertNotEqual(plot_config.currentColor(), copy_of_plot_config.currentColor()) self.assertNotEqual(plot_config.getStatisticsStyle("mean"), copy_of_plot_config.getStatisticsStyle("mean")) self.assertNotEqual(plot_config.getStatisticsStyle("min-max"), copy_of_plot_config.getStatisticsStyle("min-max")) self.assertNotEqual(plot_config.getStatisticsStyle("p50"), copy_of_plot_config.getStatisticsStyle("p50")) self.assertNotEqual(plot_config.getStatisticsStyle("p10-p90"), copy_of_plot_config.getStatisticsStyle("p10-p90")) self.assertNotEqual(plot_config.getStatisticsStyle("p33-p67"), copy_of_plot_config.getStatisticsStyle("p33-p67")) self.assertNotEqual(plot_config.getStatisticsStyle("std"), copy_of_plot_config.getStatisticsStyle("std"))
class PlotConfig(object): # The plot_settings input argument is an internalisation of the (quite few) plot # policy settings which can be set in the configuration file. def __init__(self, plot_settings=None, title="Unnamed", x_label=None, y_label=None): self._title = title self._plot_settings = plot_settings if self._plot_settings is None: self._plot_settings = {"SHOW_REFCASE": True, "SHOW_HISTORY": True} self._line_color_cycle_colors = ["#000000"] self._line_color_cycle = itertools.cycle(self._line_color_cycle_colors) # Black # Blueish, Greenlike, Beigeoid, Pinkness, Orangy-Brown self.setLineColorCycle(["#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) # alternative color cycle: # ["#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#ffff33", # "#a65628", "#f781bf" ,"#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"] self._legend_items = [] self._legend_labels = [] self._x_label = x_label self._y_label = y_label self._limits = PlotLimits() self._default_style = PlotStyle( name="Default", color=None, marker="", alpha=0.8 ) self._refcase_style = PlotStyle( name="Refcase", alpha=0.8, line_style="--", marker="", width=2.0, enabled=self._plot_settings["SHOW_REFCASE"], ) self._history_style = PlotStyle( name="History", alpha=0.8, marker=".", width=2.0, enabled=self._plot_settings["SHOW_HISTORY"], ) self._observs_style = PlotStyle( name="Observations", line_style="-", alpha=0.8, marker=".", width=1.0, color="#000000", ) self._histogram_style = PlotStyle(name="Histogram", width=2.0) self._distribution_style = PlotStyle( name="Distribution", line_style="", marker="o", alpha=0.5, size=10.0 ) self._distribution_line_style = PlotStyle( name="Distribution Lines", line_style="-", alpha=0.25, width=1.0 ) self._distribution_line_style.setEnabled(False) self._current_color = None self._legend_enabled = True self._grid_enabled = True self._statistics_style = { "mean": PlotStyle("Mean", line_style=""), "p50": PlotStyle("P50", line_style=""), "min-max": PlotStyle("Min/Max", line_style=""), "p10-p90": PlotStyle("P10-P90", line_style=""), "p33-p67": PlotStyle("P33-P67", line_style=""), "std": PlotStyle("Std dev", line_style=""), } self._std_dev_factor = 1 # sigma 1 is default std dev def currentColor(self): if self._current_color is None: self.nextColor() return self._current_color def nextColor(self): self._current_color = next(self._line_color_cycle) return self._current_color def setLineColorCycle(self, color_list): self._line_color_cycle_colors = color_list self._line_color_cycle = itertools.cycle(color_list) def lineColorCycle(self): return list(self._line_color_cycle_colors) def addLegendItem(self, label, item): self._legend_items.append(item) self._legend_labels.append(label) def title(self): """:rtype: str""" return self._title if self._title is not None else "Unnamed" def setTitle(self, title): self._title = title def isUnnamed(self): return self._title is None def defaultStyle(self): style = PlotStyle("Default Style") style.copyStyleFrom(self._default_style) style.color = self.currentColor() return style def observationsColor(self): return self._observs_style.color def observationsStyle(self): """@rtype: PlotStyle""" style = PlotStyle("Observations Style") style.copyStyleFrom(self._observs_style) return style def refcaseStyle(self): """@rtype: PlotStyle""" style = PlotStyle("Refcase Style") style.copyStyleFrom(self._refcase_style) return style def historyStyle(self): """@rtype: PlotStyle""" style = PlotStyle("History Style") style.copyStyleFrom(self._history_style) return style def histogramStyle(self): """@rtype: PlotStyle""" style = PlotStyle("Histogram Style") style.copyStyleFrom(self._histogram_style) style.color = self.currentColor() return style def distributionStyle(self): """@rtype: PlotStyle""" style = PlotStyle("Distribution Style") style.copyStyleFrom(self._distribution_style) style.color = self.currentColor() return style def distributionLineStyle(self): """@rtype: ert_gui.plottery.PlotStyle""" style = PlotStyle("Distribution Line Style") style.copyStyleFrom(self._distribution_line_style) return style def xLabel(self): return self._x_label def yLabel(self): return self._y_label def legendItems(self): return self._legend_items def legendLabels(self): return self._legend_labels def setXLabel(self, label): self._x_label = label def setYLabel(self, label): self._y_label = label def setObservationsEnabled(self, enabled): self._observs_style.setEnabled(enabled) def isObservationsEnabled(self): return self._observs_style.isEnabled() def setRefcaseEnabled(self, enabled): self._refcase_style.setEnabled(enabled) def isRefcaseEnabled(self): return self._refcase_style.isEnabled() def setHistoryEnabled(self, enabled): self._history_style.setEnabled(enabled) def isHistoryEnabled(self): return self._history_style.isEnabled() def isLegendEnabled(self): return self._legend_enabled def isDistributionLineEnabled(self): return self._distribution_line_style.isEnabled() def setDistributionLineEnabled(self, enabled): self._distribution_line_style.setEnabled(enabled) def setStandardDeviationFactor(self, value): self._std_dev_factor = value def getStandardDeviationFactor(self): return self._std_dev_factor def setLegendEnabled(self, enabled): self._legend_enabled = enabled def isGridEnabled(self): return self._grid_enabled def setGridEnabled(self, enabled): self._grid_enabled = enabled def setStatisticsStyle(self, statistic, style): """ @type statistic: str @type style: PlotStyle """ statistics_style = self._statistics_style[statistic] statistics_style.line_style = style.line_style statistics_style.marker = style.marker statistics_style.width = style.width statistics_style.size = style.size def getStatisticsStyle(self, statistic): style = self._statistics_style[statistic] copy_style = PlotStyle(style.name) copy_style.copyStyleFrom(style) copy_style.color = self.currentColor() return copy_style def setRefcaseStyle(self, style): """@type style: PlotStyle""" self._refcase_style.line_style = style.line_style self._refcase_style.marker = style.marker self._refcase_style.width = style.width self._refcase_style.size = style.size def setHistoryStyle(self, style): """@type style: PlotStyle""" self._history_style.line_style = style.line_style self._history_style.marker = style.marker self._history_style.width = style.width self._history_style.size = style.size def setObservationsColor(self, color): self._observs_style.color = color def setObservationsStyle(self, style): """@type style: PlotStyle""" self._observs_style.line_style = style.line_style self._observs_style.marker = style.marker self._observs_style.width = style.width self._observs_style.size = style.size def setDefaultStyle(self, style): """@type style: PlotStyle""" self._default_style.line_style = style.line_style self._default_style.marker = style.marker self._default_style.width = style.width self._default_style.size = style.size @property def limits(self): """@rtype: PlotLimits""" limits = PlotLimits() limits.copyLimitsFrom(self._limits) return limits @limits.setter def limits(self, value): """@type value: PlotLimits""" self._limits.copyLimitsFrom(value) def copyConfigFrom(self, other): """ :type other: PlotConfig """ self._default_style.copyStyleFrom(other._default_style, copy_enabled_state=True) self._refcase_style.copyStyleFrom(other._refcase_style, copy_enabled_state=True) self._history_style.copyStyleFrom(other._history_style, copy_enabled_state=True) self._histogram_style.copyStyleFrom( other._histogram_style, copy_enabled_state=True ) self._observs_style.copyStyleFrom(other._observs_style, copy_enabled_state=True) self._distribution_style.copyStyleFrom( other._distribution_style, copy_enabled_state=True ) self._distribution_line_style.copyStyleFrom( other._distribution_line_style, copy_enabled_state=True ) self._statistics_style["mean"].copyStyleFrom( other._statistics_style["mean"], copy_enabled_state=True ) self._statistics_style["p50"].copyStyleFrom( other._statistics_style["p50"], copy_enabled_state=True ) self._statistics_style["min-max"].copyStyleFrom( other._statistics_style["min-max"], copy_enabled_state=True ) self._statistics_style["p10-p90"].copyStyleFrom( other._statistics_style["p10-p90"], copy_enabled_state=True ) self._statistics_style["p33-p67"].copyStyleFrom( other._statistics_style["p33-p67"], copy_enabled_state=True ) self._statistics_style["std"].copyStyleFrom( other._statistics_style["std"], copy_enabled_state=True ) self._std_dev_factor = other._std_dev_factor self._legend_enabled = other._legend_enabled self._grid_enabled = other._grid_enabled self.setLineColorCycle(other._line_color_cycle_colors) self._legend_items = other._legend_items[:] self._legend_labels = other._legend_labels[:] self._x_label = other._x_label self._y_label = other._y_label self._limits.copyLimitsFrom(other._limits) if other._title is not None: self._title = other._title @classmethod def createCopy(cls, other): copy = PlotConfig(other._plot_settings) copy.copyConfigFrom(other) return copy
def limits(self): """@rtype: PlotLimits""" limits = PlotLimits() limits.copyLimitsFrom(self._limits) return limits
def test_plot_config(self): ps = PlotSettings( ) plot_config = PlotConfig(ps , "Golden Sample", x_label="x", y_label="y") limits = PlotLimits() limits.count_limits = 1, 2 limits.depth_limits = 3, 4 limits.density_limits = 5, 6 limits.date_limits = datetime.date(2005, 2, 5), datetime.date(2006, 2, 6) limits.index_limits = 7, 8 limits.value_limits = 9.0, 10.0 plot_config.limits = limits self.assertEqual(plot_config.limits, limits) plot_config.setDistributionLineEnabled(True) plot_config.setLegendEnabled(False) plot_config.setGridEnabled(False) plot_config.setRefcaseEnabled(False) plot_config.setObservationsEnabled(False) style = PlotStyle("test_style", line_style=".", marker="g", width=2.5, size=7.5) plot_config.setDefaultStyle(style) plot_config.setRefcaseStyle(style) plot_config.setStatisticsStyle("mean", style) plot_config.setStatisticsStyle("min-max", style) plot_config.setStatisticsStyle("p50", style) plot_config.setStatisticsStyle("p10-p90", style) plot_config.setStatisticsStyle("p33-p67", style) plot_config.setStatisticsStyle("std", style) copy_of_plot_config = PlotConfig(ps , "Copy of Golden Sample") copy_of_plot_config.copyConfigFrom(plot_config) self.assertEqual(plot_config.isLegendEnabled(), copy_of_plot_config.isLegendEnabled()) self.assertEqual(plot_config.isGridEnabled(), copy_of_plot_config.isGridEnabled()) self.assertEqual(plot_config.isObservationsEnabled(), copy_of_plot_config.isObservationsEnabled()) self.assertEqual(plot_config.isDistributionLineEnabled(), copy_of_plot_config.isDistributionLineEnabled()) self.assertEqual(plot_config.refcaseStyle(), copy_of_plot_config.refcaseStyle()) self.assertEqual(plot_config.observationsStyle(), copy_of_plot_config.observationsStyle()) self.assertEqual(plot_config.histogramStyle(), copy_of_plot_config.histogramStyle()) self.assertEqual(plot_config.defaultStyle(), copy_of_plot_config.defaultStyle()) self.assertEqual(plot_config.currentColor(), copy_of_plot_config.currentColor()) self.assertEqual(plot_config.getStatisticsStyle("mean"), copy_of_plot_config.getStatisticsStyle("mean")) self.assertEqual(plot_config.getStatisticsStyle("min-max"), copy_of_plot_config.getStatisticsStyle("min-max")) self.assertEqual(plot_config.getStatisticsStyle("p50"), copy_of_plot_config.getStatisticsStyle("p50")) self.assertEqual(plot_config.getStatisticsStyle("p10-p90"), copy_of_plot_config.getStatisticsStyle("p10-p90")) self.assertEqual(plot_config.getStatisticsStyle("p33-p67"), copy_of_plot_config.getStatisticsStyle("p33-p67")) self.assertEqual(plot_config.getStatisticsStyle("std"), copy_of_plot_config.getStatisticsStyle("std")) self.assertEqual(plot_config.title(), copy_of_plot_config.title()) self.assertEqual(plot_config.limits, copy_of_plot_config.limits) plot_config.currentColor() # cycle state will not be copied plot_config.nextColor() copy_of_plot_config = PlotConfig(ps, "Another Copy of Golden Sample") copy_of_plot_config.copyConfigFrom(plot_config) self.assertEqual(plot_config.refcaseStyle(), copy_of_plot_config.refcaseStyle()) self.assertEqual(plot_config.observationsStyle(), copy_of_plot_config.observationsStyle()) self.assertNotEqual(plot_config.histogramStyle(), copy_of_plot_config.histogramStyle()) self.assertNotEqual(plot_config.defaultStyle(), copy_of_plot_config.defaultStyle()) self.assertNotEqual(plot_config.currentColor(), copy_of_plot_config.currentColor()) self.assertNotEqual(plot_config.getStatisticsStyle("mean"), copy_of_plot_config.getStatisticsStyle("mean")) self.assertNotEqual(plot_config.getStatisticsStyle("min-max"), copy_of_plot_config.getStatisticsStyle("min-max")) self.assertNotEqual(plot_config.getStatisticsStyle("p50"), copy_of_plot_config.getStatisticsStyle("p50")) self.assertNotEqual(plot_config.getStatisticsStyle("p10-p90"), copy_of_plot_config.getStatisticsStyle("p10-p90")) self.assertNotEqual(plot_config.getStatisticsStyle("p33-p67"), copy_of_plot_config.getStatisticsStyle("p33-p67")) self.assertNotEqual(plot_config.getStatisticsStyle("std"), copy_of_plot_config.getStatisticsStyle("std"))
def test_plot_limits(self): plot_limits = PlotLimits() limit_names = ["value", "index", "count", "density", "depth", "date"] non_numbers = [ "string", datetime.date(2001, 1, 1), "3.0", "1e-5", "-5.5", "-.5" ] positive_floats = [1.0, 1.5, 3.1415, 1e10, 5.2e-7] negative_floats = [-1.0, -1.5, -3.1415, -1e10, -5.2e-7] positive_ints = [1, 5, 1000] negative_ints = [-1, -5, -1000] non_dates = ["string", "3.4", "2001-01-01", datetime.time()] dates = [datetime.date(2001, 1, 1), datetime.datetime(2010, 3, 3)] setter_should_fail_values = { "value": non_numbers + dates, "index": non_numbers + positive_floats + negative_floats + dates, "depth": non_numbers + negative_floats + negative_ints + negative_ints, "count": non_numbers + negative_ints + negative_floats + positive_floats, "density": non_numbers + negative_floats + negative_ints, "date": non_dates } setter_should_succeed_values = { "value": positive_floats + negative_floats + positive_ints + negative_ints, "index": positive_ints, "depth": positive_floats + positive_ints, "count": positive_ints, "density": positive_floats + positive_ints, "date": dates } for attribute_name in limit_names: self.assertIsNone( getattr(plot_limits, "%s_minimum" % attribute_name)) self.assertIsNone( getattr(plot_limits, "%s_maximum" % attribute_name)) self.assertTupleEqual( getattr(plot_limits, "%s_limits" % attribute_name), (None, None)) with self.assertNotRaises(): setattr(plot_limits, "%s_minimum" % attribute_name, None) setattr(plot_limits, "%s_maximum" % attribute_name, None) setattr(plot_limits, "%s_limits" % attribute_name, (None, None)) with self.assertRaises(TypeError): setattr(plot_limits, "%s_limits" % attribute_name, None) for value in setter_should_fail_values[attribute_name]: with self.assertRaises((TypeError, ValueError)): setattr(plot_limits, "%s_minimum" % attribute_name, value) with self.assertRaises((TypeError, ValueError)): setattr(plot_limits, "%s_maximum" % attribute_name, value) self.assertTupleEqual( getattr(plot_limits, "%s_limits" % attribute_name), (None, None)) for value in setter_should_succeed_values[attribute_name]: with self.assertNotRaises(): setattr(plot_limits, "%s_minimum" % attribute_name, value) setattr(plot_limits, "%s_maximum" % attribute_name, value) minimum = getattr(plot_limits, "%s_minimum" % attribute_name) maximum = getattr(plot_limits, "%s_maximum" % attribute_name) self.assertEqual(minimum, value) self.assertEqual(maximum, value) self.assertTupleEqual( getattr(plot_limits, "%s_limits" % attribute_name), (minimum, maximum))
def test_copy_plot_limits(self): plot_limits = PlotLimits() plot_limits.value_limits = 1, 2 plot_limits.index_limits = 3, 4 plot_limits.count_limits = 5, 6 plot_limits.depth_limits = 7, 8 plot_limits.density_limits = 9, 10 plot_limits.date_limits = datetime.date(1999, 1, 1), datetime.date( 1999, 12, 31) copy_of_plot_limits = PlotLimits() copy_of_plot_limits.copyLimitsFrom(plot_limits) self.assertEqual(copy_of_plot_limits, plot_limits) self.assertEqual(copy_of_plot_limits.value_limits, (1, 2)) self.assertEqual(copy_of_plot_limits.index_limits, (3, 4)) self.assertEqual(copy_of_plot_limits.count_limits, (5, 6)) self.assertEqual(copy_of_plot_limits.depth_limits, (7, 8)) self.assertEqual(copy_of_plot_limits.density_limits, (9, 10)) self.assertEqual( copy_of_plot_limits.date_limits, (datetime.date(1999, 1, 1), datetime.date(1999, 12, 31)))
def __init__(self, title="Unnamed", x_label=None, y_label=None): super(PlotConfig, self).__init__() self._title = title self._line_color_cycle_colors = ["#000000"] self._line_color_cycle = itertools.cycle( self._line_color_cycle_colors) #Black # Blueish, Greenlike, Beigeoid, Pinkness, Orangy-Brown self.setLineColorCycle( ["#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) self._legend_items = [] self._legend_labels = [] self._x_label = x_label self._y_label = y_label self._limits = PlotLimits() self._default_style = PlotStyle(name="Default", color=None, alpha=0.8) self._refcase_style = PlotStyle(name="Refcase", alpha=0.8, marker="x", width=2.0) self._history_style = PlotStyle(name="History", alpha=0.8, marker="D", width=2.0) # Insanely ugly implementation of user preferences. if os.getenv("ERT_SHOW_HISTORY_VECTORS"): self._history_style.setEnabled(True) else: self._history_style.setEnabled(False) self._observation_style = PlotStyle(name="Observations") self._histogram_style = PlotStyle(name="Histogram", width=2.0) self._distribution_style = PlotStyle(name="Distribution", line_style="", marker="o", alpha=0.5, size=10.0) self._distribution_line_style = PlotStyle(name="Distribution Lines", line_style="-", alpha=0.25, width=1.0) self._distribution_line_style.setEnabled(False) self._current_color = None self._legend_enabled = True self._grid_enabled = True self._statistics_style = { "mean": PlotStyle("Mean", line_style=""), "p50": PlotStyle("P50", line_style=""), "min-max": PlotStyle("Min/Max", line_style=""), "p10-p90": PlotStyle("P10-P90", line_style=""), "p33-p67": PlotStyle("P33-P67", line_style=""), "std": PlotStyle("Std dev", line_style="") } self._std_dev_factor = 1 # sigma 1 is default std dev
class PlotConfig(object): def __init__(self, title="Unnamed", x_label=None, y_label=None): super(PlotConfig, self).__init__() self._title = title self._line_color_cycle_colors = ["#000000"] self._line_color_cycle = itertools.cycle( self._line_color_cycle_colors) #Black # Blueish, Greenlike, Beigeoid, Pinkness, Orangy-Brown self.setLineColorCycle( ["#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) self._legend_items = [] self._legend_labels = [] self._x_label = x_label self._y_label = y_label self._limits = PlotLimits() self._default_style = PlotStyle(name="Default", color=None, alpha=0.8) self._refcase_style = PlotStyle(name="Refcase", alpha=0.8, marker="x", width=2.0) self._history_style = PlotStyle(name="History", alpha=0.8, marker="D", width=2.0) # Insanely ugly implementation of user preferences. if os.getenv("ERT_SHOW_HISTORY_VECTORS"): self._history_style.setEnabled(True) else: self._history_style.setEnabled(False) self._observation_style = PlotStyle(name="Observations") self._histogram_style = PlotStyle(name="Histogram", width=2.0) self._distribution_style = PlotStyle(name="Distribution", line_style="", marker="o", alpha=0.5, size=10.0) self._distribution_line_style = PlotStyle(name="Distribution Lines", line_style="-", alpha=0.25, width=1.0) self._distribution_line_style.setEnabled(False) self._current_color = None self._legend_enabled = True self._grid_enabled = True self._statistics_style = { "mean": PlotStyle("Mean", line_style=""), "p50": PlotStyle("P50", line_style=""), "min-max": PlotStyle("Min/Max", line_style=""), "p10-p90": PlotStyle("P10-P90", line_style=""), "p33-p67": PlotStyle("P33-P67", line_style=""), "std": PlotStyle("Std dev", line_style="") } self._std_dev_factor = 1 # sigma 1 is default std dev def currentColor(self): if self._current_color is None: self.nextColor() return self._current_color def nextColor(self): self._current_color = self._line_color_cycle.next() return self._current_color def setLineColorCycle(self, color_list): self._line_color_cycle_colors = color_list self._line_color_cycle = itertools.cycle(color_list) def lineColorCycle(self): return list(self._line_color_cycle_colors) def addLegendItem(self, label, item): self._legend_items.append(item) self._legend_labels.append(label) def title(self): """ :rtype: str """ return self._title if self._title is not None else "Unnamed" def setTitle(self, title): self._title = title def isUnnamed(self): return self._title is None def defaultStyle(self): style = PlotStyle("Default Style") style.copyStyleFrom(self._default_style) style.color = self.currentColor() return style def observationsStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Observations Style") style.copyStyleFrom(self._observation_style) return style def refcaseStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Refcase Style") style.copyStyleFrom(self._refcase_style) return style def historyStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("History Style") style.copyStyleFrom(self._history_style) return style def histogramStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Histogram Style") style.copyStyleFrom(self._histogram_style) style.color = self.currentColor() return style def distributionStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Distribution Style") style.copyStyleFrom(self._distribution_style) style.color = self.currentColor() return style def distributionLineStyle(self): """ @rtype: ert_gui.plottery.PlotStyle """ style = PlotStyle("Distribution Line Style") style.copyStyleFrom(self._distribution_line_style) return style def xLabel(self): return self._x_label def yLabel(self): return self._y_label def legendItems(self): return self._legend_items def legendLabels(self): return self._legend_labels def setXLabel(self, label): self._x_label = label def setYLabel(self, label): self._y_label = label def setObservationsEnabled(self, enabled): self._observation_style.setEnabled(enabled) def isObservationsEnabled(self): return self._observation_style.isEnabled() def setRefcaseEnabled(self, enabled): self._refcase_style.setEnabled(enabled) def isRefcaseEnabled(self): return self._refcase_style.isEnabled() def setHistoryEnabled(self, enabled): self._history_style.setEnabled(enabled) def isHistoryEnabled(self): return self._history_style.isEnabled() def isLegendEnabled(self): return self._legend_enabled def isDistributionLineEnabled(self): return self._distribution_line_style.isEnabled() def setDistributionLineEnabled(self, enabled): self._distribution_line_style.setEnabled(enabled) def setStandardDeviationFactor(self, value): self._std_dev_factor = value def getStandardDeviationFactor(self): return self._std_dev_factor def setLegendEnabled(self, enabled): self._legend_enabled = enabled def isGridEnabled(self): return self._grid_enabled def setGridEnabled(self, enabled): self._grid_enabled = enabled def setStatisticsStyle(self, statistic, style): """ @type statistic: str @type style: PlotStyle """ statistics_style = self._statistics_style[statistic] statistics_style.line_style = style.line_style statistics_style.marker = style.marker statistics_style.width = style.width statistics_style.size = style.size def getStatisticsStyle(self, statistic): style = self._statistics_style[statistic] copy_style = PlotStyle(style.name) copy_style.copyStyleFrom(style) copy_style.color = self.currentColor() return copy_style def setRefcaseStyle(self, style): """ @type style: PlotStyle """ self._refcase_style.line_style = style.line_style self._refcase_style.marker = style.marker self._refcase_style.width = style.width self._refcase_style.size = style.size def setHistoryStyle(self, style): """ @type style: PlotStyle """ self._history_style.line_style = style.line_style self._history_style.marker = style.marker self._history_style.width = style.width self._history_style.size = style.size def setDefaultStyle(self, style): """ @type style: PlotStyle """ self._default_style.line_style = style.line_style self._default_style.marker = style.marker self._default_style.width = style.width self._default_style.size = style.size @property def limits(self): """ @rtype: PlotLimits """ limits = PlotLimits() limits.copyLimitsFrom(self._limits) return limits @limits.setter def limits(self, value): """ @type value: PlotLimits """ self._limits.copyLimitsFrom(value) def copyConfigFrom(self, other): """ :type other: PlotConfig """ self._default_style.copyStyleFrom(other._default_style, copy_enabled_state=True) self._refcase_style.copyStyleFrom(other._refcase_style, copy_enabled_state=True) self._history_style.copyStyleFrom(other._history_style, copy_enabled_state=True) self._histogram_style.copyStyleFrom(other._histogram_style, copy_enabled_state=True) self._observation_style.copyStyleFrom(other._observation_style, copy_enabled_state=True) self._distribution_style.copyStyleFrom(other._distribution_style, copy_enabled_state=True) self._distribution_line_style.copyStyleFrom( other._distribution_line_style, copy_enabled_state=True) self._statistics_style["mean"].copyStyleFrom( other._statistics_style["mean"], copy_enabled_state=True) self._statistics_style["p50"].copyStyleFrom( other._statistics_style["p50"], copy_enabled_state=True) self._statistics_style["min-max"].copyStyleFrom( other._statistics_style["min-max"], copy_enabled_state=True) self._statistics_style["p10-p90"].copyStyleFrom( other._statistics_style["p10-p90"], copy_enabled_state=True) self._statistics_style["p33-p67"].copyStyleFrom( other._statistics_style["p33-p67"], copy_enabled_state=True) self._statistics_style["std"].copyStyleFrom( other._statistics_style["std"], copy_enabled_state=True) self._std_dev_factor = other._std_dev_factor self._legend_enabled = other._legend_enabled self._grid_enabled = other._grid_enabled self.setLineColorCycle(other._line_color_cycle_colors) self._legend_items = other._legend_items[:] self._legend_labels = other._legend_labels[:] self._x_label = other._x_label self._y_label = other._y_label self._limits.copyLimitsFrom(other._limits) if other._title is not None: self._title = other._title @classmethod def createCopy(cls, other): copy = PlotConfig(None) copy.copyConfigFrom(other) return copy
class PlotConfig(object): def __init__(self, title="Unnamed", x_label=None, y_label=None): super(PlotConfig, self).__init__() self._title = title self._line_color_cycle_colors = ["#000000"] self._line_color_cycle = itertools.cycle(self._line_color_cycle_colors) #Black # Blueish, Greenlike, Beigeoid, Pinkness, Orangy-Brown self.setLineColorCycle(["#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) # self.setLineColorCycle(["#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#ffff33", "#a65628", "#f781bf" ,"#386CB0", "#7FC97F", "#FDC086", "#F0027F", "#BF5B17"]) self._legend_items = [] self._legend_labels = [] self._x_label = x_label self._y_label = y_label self._limits = PlotLimits() self._default_style = PlotStyle(name="Default", color=None, alpha=0.8) self._refcase_style = PlotStyle(name="Refcase", alpha=0.8, marker="x", width=2.0) self._history_style = PlotStyle(name="History", alpha=0.8, marker="D", width=2.0) # Insanely ugly implementation of user preferences. if os.getenv("ERT_SHOW_HISTORY_VECTORS"): self._history_style.setEnabled(True) else: self._history_style.setEnabled(False) self._observation_style = PlotStyle(name="Observations") self._histogram_style = PlotStyle(name="Histogram", width=2.0) self._distribution_style = PlotStyle(name="Distribution", line_style="", marker="o", alpha=0.5, size=10.0) self._distribution_line_style = PlotStyle(name="Distribution Lines", line_style="-", alpha=0.25, width=1.0) self._distribution_line_style.setEnabled(False) self._current_color = None self._legend_enabled = True self._grid_enabled = True self._statistics_style = { "mean": PlotStyle("Mean", line_style=""), "p50": PlotStyle("P50", line_style=""), "min-max": PlotStyle("Min/Max", line_style=""), "p10-p90": PlotStyle("P10-P90", line_style=""), "p33-p67": PlotStyle("P33-P67", line_style=""), "std": PlotStyle("Std dev", line_style="") } self._std_dev_factor = 1 # sigma 1 is default std dev def currentColor(self): if self._current_color is None: self.nextColor() return self._current_color def nextColor(self): self._current_color = self._line_color_cycle.next() return self._current_color def setLineColorCycle(self, color_list): self._line_color_cycle_colors = color_list self._line_color_cycle = itertools.cycle(color_list) def lineColorCycle(self): return list(self._line_color_cycle_colors) def addLegendItem(self, label, item): self._legend_items.append(item) self._legend_labels.append(label) def title(self): """ :rtype: str """ return self._title if self._title is not None else "Unnamed" def setTitle(self, title): self._title = title def isUnnamed(self): return self._title is None def defaultStyle(self): style = PlotStyle("Default Style") style.copyStyleFrom(self._default_style) style.color = self.currentColor() return style def observationsStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Observations Style") style.copyStyleFrom(self._observation_style) return style def refcaseStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Refcase Style") style.copyStyleFrom(self._refcase_style) return style def historyStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("History Style") style.copyStyleFrom(self._history_style) return style def histogramStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Histogram Style") style.copyStyleFrom(self._histogram_style) style.color = self.currentColor() return style def distributionStyle(self): """ @rtype: PlotStyle """ style = PlotStyle("Distribution Style") style.copyStyleFrom(self._distribution_style) style.color = self.currentColor() return style def distributionLineStyle(self): """ @rtype: ert_gui.plottery.PlotStyle """ style = PlotStyle("Distribution Line Style") style.copyStyleFrom(self._distribution_line_style) return style def xLabel(self): return self._x_label def yLabel(self): return self._y_label def legendItems(self): return self._legend_items def legendLabels(self): return self._legend_labels def setXLabel(self, label): self._x_label = label def setYLabel(self, label): self._y_label = label def setObservationsEnabled(self, enabled): self._observation_style.setEnabled(enabled) def isObservationsEnabled(self): return self._observation_style.isEnabled() def setRefcaseEnabled(self, enabled): self._refcase_style.setEnabled(enabled) def isRefcaseEnabled(self): return self._refcase_style.isEnabled() def setHistoryEnabled(self, enabled): self._history_style.setEnabled(enabled) def isHistoryEnabled(self): return self._history_style.isEnabled() def isLegendEnabled(self): return self._legend_enabled def isDistributionLineEnabled(self): return self._distribution_line_style.isEnabled() def setDistributionLineEnabled(self, enabled): self._distribution_line_style.setEnabled(enabled) def setStandardDeviationFactor(self, value): self._std_dev_factor = value def getStandardDeviationFactor(self): return self._std_dev_factor def setLegendEnabled(self, enabled): self._legend_enabled = enabled def isGridEnabled(self): return self._grid_enabled def setGridEnabled(self, enabled): self._grid_enabled = enabled def setStatisticsStyle(self, statistic, style): """ @type statistic: str @type style: PlotStyle """ statistics_style = self._statistics_style[statistic] statistics_style.line_style = style.line_style statistics_style.marker = style.marker statistics_style.width = style.width statistics_style.size = style.size def getStatisticsStyle(self, statistic): style = self._statistics_style[statistic] copy_style = PlotStyle(style.name) copy_style.copyStyleFrom(style) copy_style.color = self.currentColor() return copy_style def setRefcaseStyle(self, style): """ @type style: PlotStyle """ self._refcase_style.line_style = style.line_style self._refcase_style.marker = style.marker self._refcase_style.width = style.width self._refcase_style.size = style.size def setHistoryStyle(self, style): """ @type style: PlotStyle """ self._history_style.line_style = style.line_style self._history_style.marker = style.marker self._history_style.width = style.width self._history_style.size = style.size def setDefaultStyle(self, style): """ @type style: PlotStyle """ self._default_style.line_style = style.line_style self._default_style.marker = style.marker self._default_style.width = style.width self._default_style.size = style.size @property def limits(self): """ @rtype: PlotLimits """ limits = PlotLimits() limits.copyLimitsFrom(self._limits) return limits @limits.setter def limits(self, value): """ @type value: PlotLimits """ self._limits.copyLimitsFrom(value) def copyConfigFrom(self, other): """ :type other: PlotConfig """ self._default_style.copyStyleFrom(other._default_style, copy_enabled_state=True) self._refcase_style.copyStyleFrom(other._refcase_style, copy_enabled_state=True) self._history_style.copyStyleFrom(other._history_style, copy_enabled_state=True) self._histogram_style.copyStyleFrom(other._histogram_style, copy_enabled_state=True) self._observation_style.copyStyleFrom(other._observation_style, copy_enabled_state=True) self._distribution_style.copyStyleFrom(other._distribution_style, copy_enabled_state=True) self._distribution_line_style.copyStyleFrom(other._distribution_line_style, copy_enabled_state=True) self._statistics_style["mean"].copyStyleFrom(other._statistics_style["mean"], copy_enabled_state=True) self._statistics_style["p50"].copyStyleFrom(other._statistics_style["p50"], copy_enabled_state=True) self._statistics_style["min-max"].copyStyleFrom(other._statistics_style["min-max"], copy_enabled_state=True) self._statistics_style["p10-p90"].copyStyleFrom(other._statistics_style["p10-p90"], copy_enabled_state=True) self._statistics_style["p33-p67"].copyStyleFrom(other._statistics_style["p33-p67"], copy_enabled_state=True) self._statistics_style["std"].copyStyleFrom(other._statistics_style["std"], copy_enabled_state=True) self._std_dev_factor = other._std_dev_factor self._legend_enabled = other._legend_enabled self._grid_enabled = other._grid_enabled self.setLineColorCycle(other._line_color_cycle_colors) self._legend_items = other._legend_items[:] self._legend_labels = other._legend_labels[:] self._x_label = other._x_label self._y_label = other._y_label self._limits.copyLimitsFrom(other._limits) if other._title is not None: self._title = other._title @classmethod def createCopy(cls, other): copy = PlotConfig(None) copy.copyConfigFrom(other) return copy
def limits(self): """ @rtype: PlotLimits """ limits = PlotLimits() limits.copyLimitsFrom(self._limits) return limits