class PlotView(QFrame):
"""PlotView presents a matplotlib canvas with interaction possibilities. (picking and tooltip)"""
def __init__(self):
"""Create a PlotView instance"""
QFrame.__init__(self)
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
# setup some default data values
self.data = PlotData()
self.data.x_data_type = "number"
self.data.setValid(False)
self.plot_figure = PlotFigure()
self.plot_settings = PlotSettings()
self.canvas = FigureCanvas(self.plot_figure.getFigure())
self.canvas.setParent(self)
self.canvas.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.mouse_handler = MouseHandler(self)
def toggleMember(self, line):
gid = int(line.get_gid())
if gid in self.plot_settings.getSelectedMembers():
self.plot_settings.unselectMember(gid)
else:
self.plot_settings.selectMember(gid)
@ert_gui.widgets.util.may_take_a_long_time
def drawPlot(self):
self.plot_figure.drawPlot(self.data, self.plot_settings)
self.canvas.draw()
def resizeEvent(self, event):
QFrame.resizeEvent(self, event)
self.canvas.resize(event.size().width(), event.size().height())
def loadSettings(self, name):
if self.data.isValid():
plot_config_loader = PlotSettingsLoader()
if not plot_config_loader.load(name, self.plot_settings):
self.drawPlot()
def saveSettings(self):
if self.data.isValid():
plot_config_saver = PlotSettingsSaver()
plot_config_saver.save(self.data.getSaveName(), self.plot_settings)
def setData(self, data):
self.saveSettings()
self.data = data
self.loadSettings(self.data.getSaveName())
def setXZoomFactors(self, xminf, xmaxf):
self.plot_settings.setMinXZoom(xminf)
self.plot_settings.setMaxXZoom(xmaxf)
def setYZoomFactors(self, yminf, ymaxf):
self.plot_settings.setMinYZoom(yminf)
self.plot_settings.setMaxYZoom(ymaxf)
def save(self):
self.saveSettings()
plot_generator = PlotGenerator(self.plot_settings.getPlotPath(), self.plot_settings.getPlotConfigPath())
plot_generator.save(self.data)
def saveAll(self):
self.saveSettings()
plot_generator = PlotGenerator(self.plot_settings.getPlotPath(), self.plot_settings.getPlotConfigPath())
plot_generator.saveAll()
def copyPlotSettings(self):
plot_config_loader = PlotSettingsLoader()
plot_config_loader.copy(self.plot_settings)
def setPlotPath(self, plot_path):
self.plot_settings.setPlotPath(plot_path)
def setPlotConfigPath(self, path):
self.plot_settings.setPlotConfigPath(path)
def _selectedMemberIdentifier(self, artist):
return artist.get_gid() in self.plot_settings.getSelectedMembers()
def clearSelection(self):
selected_lines = self.plot_figure.fig.findobj(self._selectedMemberIdentifier)
for line in selected_lines:
self.plot_settings.unselectMember(line.get_gid())
def displayToolTip(self, event):
if not self.data is None and not event.xdata is None and not event.ydata is None:
if self.data.getXDataType() == "time":
date = matplotlib.dates.num2date(event.xdata)
self.setToolTip("x: %s y: %04f" % (date.strftime("%d/%m-%Y"), event.ydata))
else:
self.setToolTip("x: %04f y: %04f" % (event.xdata, event.ydata))
else:
self.setToolTip("")
def annotate(self, label, x, y, xt=None, yt=None):
self.plot_settings.addAnnotation(label, x, y, xt, yt)
def removeAnnotation(self, annotation_artist):
annotations = self.plot_settings.getAnnotations()
for annotation in annotations:
if annotation.getUserData() == annotation_artist:
self.plot_settings.removeAnnotation(annotation)
def moveAnnotation(self, annotation_artist, xt, yt):
annotations = self.plot_settings.getAnnotations()
for annotation in annotations:
if annotation.getUserData() == annotation_artist:
annotation.xt = xt
annotation.yt = yt
annotation_artist.xytext = (xt, yt)
def draw(self):
self.canvas.draw()
def setMinYLimit(self, value):
self.plot_settings.setMinYLimit(value)
def setMaxYLimit(self, value):
self.plot_settings.setMaxYLimit(value)
def setMinXLimit(self, value):
self.plot_settings.setMinXLimit(value)
def setMaxXLimit(self, value):
self.plot_settings.setMaxXLimit(value)
def getPlotConfigList(self):
return self.plot_settings.getPlotConfigList()
class PlotGenerator(QFrame):
def __init__(self, plot_path, plot_config_path):
QFrame.__init__(self)
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.plot_figure = PlotFigure()
self.canvas = FigureCanvas(self.plot_figure.getFigure())
self.canvas.setParent(self)
self.canvas.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Minimum)
size = QSize(297*2, 210*2) # A4 aspectratio
self.canvas.setMaximumSize(size)
self.canvas.setMinimumSize(size)
self.setMaximumSize(size)
self.setMinimumSize(size)
self.popup = Popup(self)
self.plot_config_loader = PlotSettingsLoader()
self.plot_settings = PlotSettings()
self.plot_settings.setPlotPath(plot_path)
self.plot_settings.setPlotConfigPath(plot_config_path)
self.connect(self.popup, SIGNAL('updateProgress(int)'), self.updateProgress)
self.plot_context_data_fetcher = PlotContextDataFetcher()
self.plot_context_data_fetcher.initialize(self.plot_context_data_fetcher.getModel())
self.plot_data_fetcher = PlotDataFetcher()
self.plot_data_fetcher.initialize(self.plot_data_fetcher.getModel())
def updateProgress(self, progress = 1):
value = self.popup.progress_bar.value()
self.popup.progress_bar.setValue(value + progress)
def saveAll(self):
self.popup.show()
context_data = self.plot_context_data_fetcher.getFromModel()
save_list = []
count = 0
for parameter in context_data.parameters:
pt = parameter.type
if pt == SummaryModel.TYPE or pt == KeywordModel.TYPE or pt == enums.obs_impl_type.FIELD_OBS:
save_list.append(parameter)
parameter.setUserData({'state' : enums.ert_state_enum.FORECAST})
if pt == KeywordModel.TYPE:
choices = context_data.key_index_list[parameter.name]
parameter.getUserData()['key_index_choices'] = choices
count += len(choices)
else:
count += 1
self.popup.progress_bar.setMaximum(count)
for parameter in save_list:
if parameter.type == KeywordModel.TYPE:
for choice in parameter.getUserData()['key_index_choices']:
self.plot_data_fetcher.setParameter(parameter, context_data)
parameter.getUserData()['key_index'] = choice # because setParameter overwrites this value
self.plot_data_fetcher.fetchContent()
self.savePlot(self.plot_data_fetcher.data)
else:
self.plot_data_fetcher.setParameter(parameter, context_data)
self.plot_data_fetcher.fetchContent()
self.savePlot(self.plot_data_fetcher.data)
self.popup.ok_button.setEnabled(True)
def save(self, plot_data):
self.popup.show()
self.popup.progress_bar.setMaximum(1)
self.savePlot(plot_data)
self.popup.ok_button.setEnabled(True)
def savePlot(self, plot_data):
generated_plot = self.generatePlot(plot_data)
if generated_plot:
self.savePlotToFile(plot_data.getSaveName())
self.popup.emit(SIGNAL('updateProgress(int)'), 1)
def generatePlot(self, plot_data):
name = plot_data.getSaveName()
load_success = self.plot_config_loader.load(name, self.plot_settings)
if load_success:
self.plot_figure.drawPlot(plot_data, self.plot_settings)
self.canvas.draw()
return load_success
def savePlotToFile(self, filename):
"""Save the plot visible in the figure."""
plot_path = self.plot_settings.getPlotPath()
if not os.path.exists(plot_path):
os.makedirs(plot_path)
path = plot_path + "/" + filename
self.plot_figure.getFigure().savefig(path + ".png", dpi=400, format="png")
self.plot_figure.getFigure().savefig(path + ".pdf", dpi=400, format="pdf")
class PlotGenerator(QFrame):
def __init__(self, plot_path, plot_config_path):
QFrame.__init__(self)
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.plot_figure = PlotFigure()
self.canvas = FigureCanvas(self.plot_figure.getFigure())
self.canvas.setParent(self)
self.canvas.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Minimum)
size = QSize(297*2, 210*2) # A4 aspectratio
self.canvas.setMaximumSize(size)
self.canvas.setMinimumSize(size)
self.setMaximumSize(size)
self.setMinimumSize(size)
self.popup = Popup(self)
self.plot_config_loader = PlotSettingsLoader()
self.plot_settings = PlotSettings()
self.plot_settings.setPlotPath(plot_path)
self.plot_settings.setPlotConfigPath(plot_config_path)
self.connect(self.popup, SIGNAL('updateProgress(int)'), self.updateProgress)
self.plot_context_data_fetcher = PlotContextDataFetcher()
self.plot_context_data_fetcher.initialize(self.plot_context_data_fetcher.getModel())
self.plot_data_fetcher = PlotDataFetcher()
self.plot_data_fetcher.initialize(self.plot_data_fetcher.getModel())
def updateProgress(self, progress = 1):
value = self.popup.progress_bar.value()
self.popup.progress_bar.setValue(value + progress)
def saveAll(self):
self.popup.show()
context_data = self.plot_context_data_fetcher.getFromModel()
save_list = []
count = 0
for parameter in context_data.parameters:
pt = parameter.type
if pt == SummaryModel.TYPE or pt == KeywordModel.TYPE or pt == enums.obs_impl_type.FIELD_OBS:
save_list.append(parameter)
parameter.setUserData({'state' : enums.ert_state_enum.FORECAST})
if pt == KeywordModel.TYPE:
choices = context_data.key_index_list[parameter.name]
parameter.getUserData()['key_index_choices'] = choices
count += len(choices)
else:
count += 1
self.popup.progress_bar.setMaximum(count)
for parameter in save_list:
if parameter.type == KeywordModel.TYPE:
for choice in parameter.getUserData()['key_index_choices']:
self.plot_data_fetcher.setParameter(parameter, context_data)
parameter.getUserData()['key_index'] = choice # because setParameter overwrites this value
self.plot_data_fetcher.fetchContent()
self.savePlot(self.plot_data_fetcher.data)
else:
self.plot_data_fetcher.setParameter(parameter, context_data)
self.plot_data_fetcher.fetchContent()
self.savePlot(self.plot_data_fetcher.data)
self.popup.ok_button.setEnabled(True)
def save(self, plot_data):
self.popup.show()
self.popup.progress_bar.setMaximum(1)
self.savePlot(plot_data)
self.popup.ok_button.setEnabled(True)
def savePlot(self, plot_data):
generated_plot = self.generatePlot(plot_data)
if generated_plot:
self.savePlotToFile(plot_data.getSaveName())
self.popup.emit(SIGNAL('updateProgress(int)'), 1)
def generatePlot(self, plot_data):
name = plot_data.getSaveName()
load_success = self.plot_config_loader.load(name, self.plot_settings)
if load_success:
self.plot_figure.drawPlot(plot_data, self.plot_settings)
self.canvas.draw()
return load_success
def savePlotToFile(self, filename):
"""Save the plot visible in the figure."""
plot_path = self.plot_settings.getPlotPath()
if not os.path.exists(plot_path):
os.makedirs(plot_path)
path = plot_path + "/" + filename
self.plot_figure.getFigure().savefig(path + ".png", dpi=400, format="png")
self.plot_figure.getFigure().savefig(path + ".pdf", dpi=400, format="pdf")
class PlotView(QFrame):
"""PlotView presents a matplotlib canvas with interaction possibilities. (picking and tooltip)"""
def __init__(self):
"""Create a PlotView instance"""
QFrame.__init__(self)
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
# setup some default data values
self.data = PlotData()
self.data.x_data_type = "number"
self.data.setValid(False)
self.plot_figure = PlotFigure()
self.plot_settings = PlotSettings()
self.canvas = FigureCanvas(self.plot_figure.getFigure())
self.canvas.setParent(self)
self.canvas.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.mouse_handler = MouseHandler(self)
def toggleMember(self, line):
gid = int(line.get_gid())
if gid in self.plot_settings.getSelectedMembers():
self.plot_settings.unselectMember(gid)
else:
self.plot_settings.selectMember(gid)
@ert_gui.widgets.util.may_take_a_long_time
def drawPlot(self):
self.plot_figure.drawPlot(self.data, self.plot_settings)
self.canvas.draw()
def resizeEvent(self, event):
QFrame.resizeEvent(self, event)
self.canvas.resize(event.size().width(), event.size().height())
def loadSettings(self, name):
if self.data.isValid():
plot_config_loader = PlotSettingsLoader()
if not plot_config_loader.load(name, self.plot_settings):
self.drawPlot()
def saveSettings(self):
if self.data.isValid():
plot_config_saver = PlotSettingsSaver()
plot_config_saver.save(self.data.getSaveName(), self.plot_settings)
def setData(self, data):
self.saveSettings()
self.data = data
self.loadSettings(self.data.getSaveName())
def setXZoomFactors(self, xminf, xmaxf):
self.plot_settings.setMinXZoom(xminf)
self.plot_settings.setMaxXZoom(xmaxf)
def setYZoomFactors(self, yminf, ymaxf):
self.plot_settings.setMinYZoom(yminf)
self.plot_settings.setMaxYZoom(ymaxf)
def save(self):
self.saveSettings()
plot_generator = PlotGenerator(self.plot_settings.getPlotPath(),
self.plot_settings.getPlotConfigPath())
plot_generator.save(self.data)
def saveAll(self):
self.saveSettings()
plot_generator = PlotGenerator(self.plot_settings.getPlotPath(),
self.plot_settings.getPlotConfigPath())
plot_generator.saveAll()
def copyPlotSettings(self):
plot_config_loader = PlotSettingsLoader()
plot_config_loader.copy(self.plot_settings)
def setPlotPath(self, plot_path):
self.plot_settings.setPlotPath(plot_path)
def setPlotConfigPath(self, path):
self.plot_settings.setPlotConfigPath(path)
def _selectedMemberIdentifier(self, artist):
return artist.get_gid() in self.plot_settings.getSelectedMembers()
def clearSelection(self):
selected_lines = self.plot_figure.fig.findobj(
self._selectedMemberIdentifier)
for line in selected_lines:
self.plot_settings.unselectMember(line.get_gid())
def displayToolTip(self, event):
if not self.data is None and not event.xdata is None and not event.ydata is None:
if self.data.getXDataType() == "time":
date = matplotlib.dates.num2date(event.xdata)
self.setToolTip("x: %s y: %04f" %
(date.strftime("%d/%m-%Y"), event.ydata))
else:
self.setToolTip("x: %04f y: %04f" % (event.xdata, event.ydata))
else:
self.setToolTip("")
def annotate(self, label, x, y, xt=None, yt=None):
self.plot_settings.addAnnotation(label, x, y, xt, yt)
def removeAnnotation(self, annotation_artist):
annotations = self.plot_settings.getAnnotations()
for annotation in annotations:
if annotation.getUserData() == annotation_artist:
self.plot_settings.removeAnnotation(annotation)
def moveAnnotation(self, annotation_artist, xt, yt):
annotations = self.plot_settings.getAnnotations()
for annotation in annotations:
if annotation.getUserData() == annotation_artist:
annotation.xt = xt
annotation.yt = yt
annotation_artist.xytext = (xt, yt)
def draw(self):
self.canvas.draw()
def setMinYLimit(self, value):
self.plot_settings.setMinYLimit(value)
def setMaxYLimit(self, value):
self.plot_settings.setMaxYLimit(value)
def setMinXLimit(self, value):
self.plot_settings.setMinXLimit(value)
def setMaxXLimit(self, value):
self.plot_settings.setMaxXLimit(value)
def getPlotConfigList(self):
return self.plot_settings.getPlotConfigList()