def __init__(self, image=None, wcs=None, parent=None, **kwargs):
"""
:param image: Image to display (2D numpy array)
:param parent: Parent widget (optional)
:param kwargs: Extra keywords to pass to imshow
"""
super(StandaloneImageViewer, self).__init__(parent)
self.central_widget = MplWidget()
self.setCentralWidget(self.central_widget)
self._setup_axes()
self._composite = CompositeArray()
self._composite.allocate('image')
self._im = None
self.initialize_toolbar()
if image is not None:
self.set_image(image=image, wcs=wcs, **kwargs)
def __init__(self, session, parent=None, wcs=None, state=None):
super(MatplotlibDataViewer, self).__init__(session,
parent=parent,
state=state)
# Use MplWidget to set up a Matplotlib canvas inside the Qt window
self.mpl_widget = MplWidget()
self.setCentralWidget(self.mpl_widget)
# TODO: shouldn't have to do this
self.central_widget = self.mpl_widget
self.figure, self.axes = init_mpl(self.mpl_widget.canvas.fig, wcs=wcs)
MatplotlibViewerMixin.setup_callbacks(self)
self.central_widget.resize(600, 400)
self.resize(self.central_widget.size())
self._monitor_computation = QTimer()
self._monitor_computation.setInterval(500)
self._monitor_computation.timeout.connect(self._update_computation)
def __init__(self, session, parent=None, wcs=None, state=None):
super(MatplotlibDataViewer, self).__init__(session, parent, state=state)
# Use MplWidget to set up a Matplotlib canvas inside the Qt window
self.mpl_widget = MplWidget()
self.setCentralWidget(self.mpl_widget)
# TODO: shouldn't have to do this
self.central_widget = self.mpl_widget
self.figure, self._axes = init_mpl(self.mpl_widget.canvas.fig, wcs=wcs)
self.state.add_callback('aspect', self.update_aspect)
self.update_aspect()
self.state.add_callback('x_min', self.limits_to_mpl)
self.state.add_callback('x_max', self.limits_to_mpl)
self.state.add_callback('y_min', self.limits_to_mpl)
self.state.add_callback('y_max', self.limits_to_mpl)
self.limits_to_mpl()
self.state.add_callback('x_log', self.update_x_log, priority=1000)
self.state.add_callback('y_log', self.update_y_log, priority=1000)
self.update_x_log()
self.axes.callbacks.connect('xlim_changed', self.limits_from_mpl)
self.axes.callbacks.connect('ylim_changed', self.limits_from_mpl)
self.axes.set_autoscale_on(False)
self.central_widget.resize(600, 400)
self.resize(self.central_widget.size())
def __init__(self, session, parent=None, wcs=None, state=None):
super(MatplotlibDataViewer, self).__init__(session,
parent=parent,
state=state)
# Use MplWidget to set up a Matplotlib canvas inside the Qt window
self.mpl_widget = MplWidget()
self.setCentralWidget(self.mpl_widget)
# TODO: shouldn't have to do this
self.central_widget = self.mpl_widget
self.figure, self._axes = init_mpl(self.mpl_widget.canvas.fig, wcs=wcs)
for spine in self._axes.spines.values():
spine.set_zorder(ZORDER_MAX)
self.loading_rectangle = Rectangle((0, 0),
1,
1,
color='0.9',
alpha=0.9,
zorder=ZORDER_MAX - 1,
transform=self.axes.transAxes)
self.loading_rectangle.set_visible(False)
self.axes.add_patch(self.loading_rectangle)
self.loading_text = self.axes.text(
0.4,
0.5,
'Computing',
color='k',
zorder=self.loading_rectangle.get_zorder() + 1,
ha='left',
va='center',
transform=self.axes.transAxes)
self.loading_text.set_visible(False)
self.state.add_callback('aspect', self.update_aspect)
self.update_aspect()
self.state.add_callback('x_min', self.limits_to_mpl)
self.state.add_callback('x_max', self.limits_to_mpl)
self.state.add_callback('y_min', self.limits_to_mpl)
self.state.add_callback('y_max', self.limits_to_mpl)
self.limits_to_mpl()
self.state.add_callback('x_log', self.update_x_log, priority=1000)
self.state.add_callback('y_log', self.update_y_log, priority=1000)
self.update_x_log()
self.axes.callbacks.connect('xlim_changed', self.limits_from_mpl)
self.axes.callbacks.connect('ylim_changed', self.limits_from_mpl)
self.axes.set_autoscale_on(False)
self.state.add_callback('x_axislabel', self.update_x_axislabel)
self.state.add_callback('x_axislabel_weight', self.update_x_axislabel)
self.state.add_callback('x_axislabel_size', self.update_x_axislabel)
self.state.add_callback('y_axislabel', self.update_y_axislabel)
self.state.add_callback('y_axislabel_weight', self.update_y_axislabel)
self.state.add_callback('y_axislabel_size', self.update_y_axislabel)
self.state.add_callback('x_ticklabel_size', self.update_x_ticklabel)
self.state.add_callback('y_ticklabel_size', self.update_y_ticklabel)
self.update_x_axislabel()
self.update_y_axislabel()
self.update_x_ticklabel()
self.update_y_ticklabel()
self.central_widget.resize(600, 400)
self.resize(self.central_widget.size())
self._monitor_computation = QTimer()
self._monitor_computation.setInterval(500)
self._monitor_computation.timeout.connect(self._update_computation)
def __init__(self, session, parent=None):
super(ExampleViewer, self).__init__(session, parent=parent)
self.central_widget = MplWidget(parent)
self._axes = self.central_widget.canvas.fig.add_subplot(111)
self._axes.plot([1, 2, 3])[0]
self.setCentralWidget(self.central_widget)