class MatplotlibDataViewer(DataViewer):
_state_cls = MatplotlibDataViewerState
tools = ['mpl:home', 'mpl:pan', 'mpl:zoom']
subtools = {'save': ['mpl:save']}
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 _update_computation(self, message=None):
# If we get a ComputationStartedMessage and the timer isn't currently
# active, then we start the timer but we then return straight away.
# This is to avoid showing the 'Computing' message straight away in the
# case of reasonably fast operations.
if isinstance(message, ComputationStartedMessage):
if not self._monitor_computation.isActive():
self._monitor_computation.start()
return
for layer_artist in self.layers:
if layer_artist.is_computing:
self.loading_rectangle.set_visible(True)
text = self.loading_text.get_text()
if text.count('.') > 2:
text = 'Computing'
else:
text += '.'
self.loading_text.set_text(text)
self.loading_text.set_visible(True)
self.redraw()
return
self.loading_rectangle.set_visible(False)
self.loading_text.set_visible(False)
self.redraw()
# If we get here, the computation has stopped so we can stop the timer
self._monitor_computation.stop()
def add_data(self, *args, **kwargs):
return super(MatplotlibDataViewer, self).add_data(*args, **kwargs)
def add_subset(self, *args, **kwargs):
return super(MatplotlibDataViewer, self).add_subset(*args, **kwargs)
def update_x_axislabel(self, *event):
self.axes.set_xlabel(self.state.x_axislabel,
weight=self.state.x_axislabel_weight,
size=self.state.x_axislabel_size)
self.redraw()
def update_y_axislabel(self, *event):
self.axes.set_ylabel(self.state.y_axislabel,
weight=self.state.y_axislabel_weight,
size=self.state.y_axislabel_size)
self.redraw()
def update_x_ticklabel(self, *event):
self.axes.tick_params(axis='x', labelsize=self.state.x_ticklabel_size)
self.axes.xaxis.get_offset_text().set_fontsize(
self.state.x_ticklabel_size)
self.redraw()
def update_y_ticklabel(self, *event):
self.axes.tick_params(axis='y', labelsize=self.state.y_ticklabel_size)
self.axes.yaxis.get_offset_text().set_fontsize(
self.state.y_ticklabel_size)
self.redraw()
def redraw(self):
self.figure.canvas.draw()
def update_x_log(self, *args):
self.axes.set_xscale('log' if self.state.x_log else 'linear')
self.redraw()
def update_y_log(self, *args):
self.axes.set_yscale('log' if self.state.y_log else 'linear')
self.redraw()
def update_aspect(self, aspect=None):
self.axes.set_aspect(self.state.aspect, adjustable='datalim')
@avoid_circular
def limits_from_mpl(self, *args):
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
if isinstance(self.state.x_min, np.datetime64):
x_min, x_max = [
mpl_to_datetime64(x) for x in self.axes.get_xlim()
]
else:
x_min, x_max = self.axes.get_xlim()
self.state.x_min, self.state.x_max = x_min, x_max
if isinstance(self.state.y_min, np.datetime64):
y_min, y_max = [
mpl_to_datetime64(y) for y in self.axes.get_ylim()
]
else:
y_min, y_max = self.axes.get_ylim()
self.state.y_min, self.state.y_max = y_min, y_max
@avoid_circular
def limits_to_mpl(self, *args):
if self.state.x_min is not None and self.state.x_max is not None:
x_min, x_max = self.state.x_min, self.state.x_max
if self.state.x_log:
if self.state.x_max <= 0:
x_min, x_max = 0.1, 1
elif self.state.x_min <= 0:
x_min = x_max / 10
self.axes.set_xlim(x_min, x_max)
if self.state.y_min is not None and self.state.y_max is not None:
y_min, y_max = self.state.y_min, self.state.y_max
if self.state.y_log:
if self.state.y_max <= 0:
y_min, y_max = 0.1, 1
elif self.state.y_min <= 0:
y_min = y_max / 10
self.axes.set_ylim(y_min, y_max)
if self.state.aspect == 'equal':
# FIXME: for a reason I don't quite understand, dataLim doesn't
# get updated immediately here, which means that there are then
# issues in the first draw of the image (the limits are such that
# only part of the image is shown). We just set dataLim manually
# to avoid this issue.
self.axes.dataLim.intervalx = self.axes.get_xlim()
self.axes.dataLim.intervaly = self.axes.get_ylim()
# We then force the aspect to be computed straight away
self.axes.apply_aspect()
# And propagate any changes back to the state since we have the
# @avoid_circular decorator
with delay_callback(self.state, 'x_min', 'x_max', 'y_min',
'y_max'):
# TODO: fix case with datetime64 here
self.state.x_min, self.state.x_max = self.axes.get_xlim()
self.state.y_min, self.state.y_max = self.axes.get_ylim()
self.axes.figure.canvas.draw()
# TODO: shouldn't need this!
@property
def axes(self):
return self._axes
def _update_appearance_from_settings(self, message=None):
update_appearance_from_settings(self.axes)
self.redraw()
def get_layer_artist(self, cls, layer=None, layer_state=None):
return cls(self.axes, self.state, layer=layer, layer_state=layer_state)
def apply_roi(self, roi, use_current=False):
""" This method must be implemented by subclasses """
raise NotImplementedError
def _script_header(self):
state_dict = self.state.as_dict()
return ['import matplotlib.pyplot as plt'
], SCRIPT_HEADER.format(**state_dict)
def _script_footer(self):
state_dict = self.state.as_dict()
state_dict['x_log_str'] = 'log' if self.state.x_log else 'linear'
state_dict['y_log_str'] = 'log' if self.state.y_log else 'linear'
return [], SCRIPT_FOOTER.format(**state_dict)
class MatplotlibViewerMixin(object):
def setup_callbacks(self):
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()
def _update_computation(self, message=None):
pass
def update_x_axislabel(self, *event):
self.axes.set_xlabel(self.state.x_axislabel,
weight=self.state.x_axislabel_weight,
size=self.state.x_axislabel_size)
self.redraw()
def update_y_axislabel(self, *event):
self.axes.set_ylabel(self.state.y_axislabel,
weight=self.state.y_axislabel_weight,
size=self.state.y_axislabel_size)
self.redraw()
def update_x_ticklabel(self, *event):
self.axes.tick_params(axis='x', labelsize=self.state.x_ticklabel_size)
self.axes.xaxis.get_offset_text().set_fontsize(self.state.x_ticklabel_size)
self.redraw()
def update_y_ticklabel(self, *event):
self.axes.tick_params(axis='y', labelsize=self.state.y_ticklabel_size)
self.axes.yaxis.get_offset_text().set_fontsize(self.state.y_ticklabel_size)
self.redraw()
def redraw(self):
self.figure.canvas.draw()
def update_x_log(self, *args):
self.axes.set_xscale('log' if self.state.x_log else 'linear')
self.redraw()
def update_y_log(self, *args):
self.axes.set_yscale('log' if self.state.y_log else 'linear')
self.redraw()
def update_aspect(self, aspect=None):
self.axes.set_aspect(self.state.aspect, adjustable='datalim')
@avoid_circular
def limits_from_mpl(self, *args):
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
if isinstance(self.state.x_min, np.datetime64):
x_min, x_max = [mpl_to_datetime64(x) for x in self.axes.get_xlim()]
else:
x_min, x_max = self.axes.get_xlim()
self.state.x_min, self.state.x_max = x_min, x_max
if isinstance(self.state.y_min, np.datetime64):
y_min, y_max = [mpl_to_datetime64(y) for y in self.axes.get_ylim()]
else:
y_min, y_max = self.axes.get_ylim()
self.state.y_min, self.state.y_max = y_min, y_max
@avoid_circular
def limits_to_mpl(self, *args):
if self.state.x_min is not None and self.state.x_max is not None:
x_min, x_max = self.state.x_min, self.state.x_max
if self.state.x_log:
if self.state.x_max <= 0:
x_min, x_max = 0.1, 1
elif self.state.x_min <= 0:
x_min = x_max / 10
self.axes.set_xlim(x_min, x_max)
if self.state.y_min is not None and self.state.y_max is not None:
y_min, y_max = self.state.y_min, self.state.y_max
if self.state.y_log:
if self.state.y_max <= 0:
y_min, y_max = 0.1, 1
elif self.state.y_min <= 0:
y_min = y_max / 10
self.axes.set_ylim(y_min, y_max)
if self.state.aspect == 'equal':
# FIXME: for a reason I don't quite understand, dataLim doesn't
# get updated immediately here, which means that there are then
# issues in the first draw of the image (the limits are such that
# only part of the image is shown). We just set dataLim manually
# to avoid this issue.
self.axes.dataLim.intervalx = self.axes.get_xlim()
self.axes.dataLim.intervaly = self.axes.get_ylim()
# We then force the aspect to be computed straight away
self.axes.apply_aspect()
# And propagate any changes back to the state since we have the
# @avoid_circular decorator
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
# TODO: fix case with datetime64 here
self.state.x_min, self.state.x_max = self.axes.get_xlim()
self.state.y_min, self.state.y_max = self.axes.get_ylim()
self.axes.figure.canvas.draw()
def _update_appearance_from_settings(self, message=None):
update_appearance_from_settings(self.axes)
self.redraw()
def get_layer_artist(self, cls, layer=None, layer_state=None):
return cls(self.axes, self.state, layer=layer, layer_state=layer_state)
def apply_roi(self, roi, override_mode=None):
""" This method must be implemented by subclasses """
raise NotImplementedError
def _script_header(self):
state_dict = self.state.as_dict()
return ['import matplotlib.pyplot as plt'], SCRIPT_HEADER.format(**state_dict)
def _script_footer(self):
state_dict = self.state.as_dict()
state_dict['x_log_str'] = 'log' if self.state.x_log else 'linear'
state_dict['y_log_str'] = 'log' if self.state.y_log else 'linear'
return [], SCRIPT_FOOTER.format(**state_dict)
class MatplotlibViewerMixin(object):
def setup_callbacks(self):
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('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)
if (self.state.x_min or self.state.x_max or self.state.y_min
or self.state.y_max) is None:
self.limits_from_mpl()
else:
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.figure.canvas.mpl_connect('resize_event', self._on_resize)
self._on_resize()
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()
def _update_computation(self, message=None):
pass
def update_x_axislabel(self, *event):
self.axes.set_xlabel(self.state.x_axislabel,
weight=self.state.x_axislabel_weight,
size=self.state.x_axislabel_size)
self.redraw()
def update_y_axislabel(self, *event):
self.axes.set_ylabel(self.state.y_axislabel,
weight=self.state.y_axislabel_weight,
size=self.state.y_axislabel_size)
self.redraw()
def update_x_ticklabel(self, *event):
self.axes.tick_params(axis='x', labelsize=self.state.x_ticklabel_size)
self.axes.xaxis.get_offset_text().set_fontsize(
self.state.x_ticklabel_size)
self.redraw()
def update_y_ticklabel(self, *event):
self.axes.tick_params(axis='y', labelsize=self.state.y_ticklabel_size)
self.axes.yaxis.get_offset_text().set_fontsize(
self.state.y_ticklabel_size)
self.redraw()
def redraw(self):
self.figure.canvas.draw_idle()
def update_x_log(self, *args):
self.axes.set_xscale('log' if self.state.x_log else 'linear')
self.redraw()
def update_y_log(self, *args):
self.axes.set_yscale('log' if self.state.y_log else 'linear')
self.redraw()
def limits_from_mpl(self, *args, **kwargs):
if getattr(self, '_skip_limits_from_mpl', False):
return
if isinstance(self.state.x_min, np.datetime64):
x_min, x_max = [mpl_to_datetime64(x) for x in self.axes.get_xlim()]
else:
x_min, x_max = self.axes.get_xlim()
if isinstance(self.state.y_min, np.datetime64):
y_min, y_max = [mpl_to_datetime64(y) for y in self.axes.get_ylim()]
else:
y_min, y_max = self.axes.get_ylim()
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
self.state.x_min = x_min
self.state.x_max = x_max
self.state.y_min = y_min
self.state.y_max = y_max
def limits_to_mpl(self, *args):
if (self.state.x_min is None or self.state.x_max is None
or self.state.y_min is None or self.state.y_max is None):
return
x_min, x_max = self.state.x_min, self.state.x_max
if self.state.x_log:
if self.state.x_max <= 0:
x_min, x_max = 0.1, 1
elif self.state.x_min <= 0:
x_min = x_max / 10
y_min, y_max = self.state.y_min, self.state.y_max
if self.state.y_log:
if self.state.y_max <= 0:
y_min, y_max = 0.1, 1
elif self.state.y_min <= 0:
y_min = y_max / 10
# Since we deal with aspect ratio internally, there are no conditions
# under which we would want to immediately change the state once the
# limits are set in Matplotlib, so we avoid this by setting the
# _skip_limits_from_mpl attribute which is then recognized inside
# limits_from_mpl
self._skip_limits_from_mpl = True
try:
self.axes.set_xlim(x_min, x_max)
self.axes.set_ylim(y_min, y_max)
self.axes.figure.canvas.draw_idle()
finally:
self._skip_limits_from_mpl = False
@property
def axes_ratio(self):
# Get figure aspect ratio
width, height = self.figure.get_size_inches()
fig_aspect = height / width
# Get axes aspect ratio
l, b, w, h = self.axes.get_position().bounds
axes_ratio = fig_aspect * (h / w)
return axes_ratio
def _on_resize(self, *args):
self.state._set_axes_aspect_ratio(self.axes_ratio)
def _update_appearance_from_settings(self, message=None):
update_appearance_from_settings(self.axes)
self.redraw()
def get_layer_artist(self, cls, layer=None, layer_state=None):
return cls(self.axes, self.state, layer=layer, layer_state=layer_state)
def apply_roi(self, roi, override_mode=None):
""" This method must be implemented by subclasses """
raise NotImplementedError
def _script_header(self):
state_dict = self.state.as_dict()
return [
'import matplotlib', "matplotlib.use('Agg')",
'import matplotlib.pyplot as plt'
], SCRIPT_HEADER.format(**state_dict)
def _script_footer(self):
state_dict = self.state.as_dict()
state_dict['x_log_str'] = 'log' if self.state.x_log else 'linear'
state_dict['y_log_str'] = 'log' if self.state.y_log else 'linear'
return [], SCRIPT_FOOTER.format(**state_dict)
class MatplotlibViewerMixin(object):
def setup_callbacks(self):
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('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)
if (self.state.x_min or self.state.x_max or self.state.y_min
or self.state.y_max) is None:
self.limits_from_mpl()
else:
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.figure.canvas.mpl_connect('resize_event', self._on_resize)
self._on_resize()
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.state.legend.add_callback('visible', self.draw_legend)
self.state.legend.add_callback('location', self.draw_legend)
self.state.legend.add_callback('alpha', self.update_legend)
self.state.legend.add_callback('title', self.draw_legend)
self.state.legend.add_callback('fontsize', self.draw_legend)
self.state.legend.add_callback('frame_color', self.update_legend)
self.state.legend.add_callback('show_edge', self.update_legend)
self.state.legend.add_callback('text_color', self.update_legend)
self.update_x_axislabel()
self.update_y_axislabel()
self.update_x_ticklabel()
self.update_y_ticklabel()
self.draw_legend()
def _update_computation(self, message=None):
pass
def update_x_axislabel(self, *event):
self.axes.set_xlabel(self.state.x_axislabel,
weight=self.state.x_axislabel_weight,
size=self.state.x_axislabel_size)
self.redraw()
def update_y_axislabel(self, *event):
self.axes.set_ylabel(self.state.y_axislabel,
weight=self.state.y_axislabel_weight,
size=self.state.y_axislabel_size)
self.redraw()
def update_x_ticklabel(self, *event):
self.axes.tick_params(axis='x', labelsize=self.state.x_ticklabel_size)
self.axes.xaxis.get_offset_text().set_fontsize(
self.state.x_ticklabel_size)
self.redraw()
def update_y_ticklabel(self, *event):
self.axes.tick_params(axis='y', labelsize=self.state.y_ticklabel_size)
self.axes.yaxis.get_offset_text().set_fontsize(
self.state.y_ticklabel_size)
self.redraw()
def get_handles_legend(self):
"""Collect the handles and labels from each layer artist."""
handles = []
labels = []
handler_dict = {}
for layer_artist in self._layer_artist_container:
handle, label, handler = layer_artist.get_handle_legend()
if handle is not None:
handles.append(handle)
labels.append(label)
if handler is not None:
handler_dict[handle] = handler
return handles, labels, handler_dict
def _update_legend_visual(self, legend):
"""Update the legend colors and opacity. No redraw."""
msetp(legend.get_title(), color=self.state.legend.text_color)
msetp(legend.get_texts(), color=self.state.legend.text_color)
msetp(legend.get_frame(),
alpha=self.state.legend.alpha,
facecolor=self.state.legend.frame_color,
edgecolor=self.state.legend.edge_color)
def update_legend(self, *args):
"""Update the legend colors and opacity."""
legend = self.axes.get_legend()
if legend is not None:
self._update_legend_visual(legend)
self.redraw()
def draw_legend(self, *args):
if self.state.legend.visible:
handles, labels, handler_map = self.get_handles_legend()
kwargs = dict(loc=self.state.legend.mpl_location,
title=self.state.legend.title,
title_fontsize=self.state.legend.fontsize,
fontsize=self.state.legend.fontsize)
if handler_map is not None:
kwargs["handler_map"] = handler_map
legend = self.axes.legend(handles, labels, **kwargs)
self._update_legend_visual(legend)
legend.set_draggable(self.state.legend.draggable)
else:
legend = self.axes.get_legend()
if legend is not None:
legend.remove()
self.redraw()
def redraw(self):
self.figure.canvas.draw_idle()
def update_x_log(self, *args):
self.axes.set_xscale('log' if self.state.x_log else 'linear')
self.redraw()
def update_y_log(self, *args):
self.axes.set_yscale('log' if self.state.y_log else 'linear')
self.redraw()
def limits_from_mpl(self, *args, **kwargs):
if getattr(self, '_skip_limits_from_mpl', False):
return
if isinstance(self.state.x_min, np.datetime64):
x_min, x_max = [mpl_to_datetime64(x) for x in self.axes.get_xlim()]
else:
x_min, x_max = self.axes.get_xlim()
if isinstance(self.state.y_min, np.datetime64):
y_min, y_max = [mpl_to_datetime64(y) for y in self.axes.get_ylim()]
else:
y_min, y_max = self.axes.get_ylim()
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
self.state.x_min = x_min
self.state.x_max = x_max
self.state.y_min = y_min
self.state.y_max = y_max
def limits_to_mpl(self, *args):
if (self.state.x_min is None or self.state.x_max is None
or self.state.y_min is None or self.state.y_max is None):
return
x_min, x_max = self.state.x_min, self.state.x_max
if self.state.x_log:
if self.state.x_max <= 0:
x_min, x_max = 0.1, 1
elif self.state.x_min <= 0:
x_min = x_max / 10
y_min, y_max = self.state.y_min, self.state.y_max
if self.state.y_log:
if self.state.y_max <= 0:
y_min, y_max = 0.1, 1
elif self.state.y_min <= 0:
y_min = y_max / 10
# Since we deal with aspect ratio internally, there are no conditions
# under which we would want to immediately change the state once the
# limits are set in Matplotlib, so we avoid this by setting the
# _skip_limits_from_mpl attribute which is then recognized inside
# limits_from_mpl
self._skip_limits_from_mpl = True
try:
self.axes.set_xlim(x_min, x_max)
self.axes.set_ylim(y_min, y_max)
self.axes.figure.canvas.draw_idle()
finally:
self._skip_limits_from_mpl = False
@property
def axes_ratio(self):
# Get figure aspect ratio
width, height = self.figure.get_size_inches()
fig_aspect = height / width
# Get axes aspect ratio
l, b, w, h = self.axes.get_position().bounds
axes_ratio = fig_aspect * (h / w)
return axes_ratio
def _on_resize(self, *args):
self.state._set_axes_aspect_ratio(self.axes_ratio)
def _update_appearance_from_settings(self, message=None):
update_appearance_from_settings(self.axes)
self.redraw()
def get_layer_artist(self, cls, layer=None, layer_state=None):
return cls(self.axes, self.state, layer=layer, layer_state=layer_state)
def apply_roi(self, roi, override_mode=None):
""" This method must be implemented by subclasses """
raise NotImplementedError
def _script_header(self):
state_dict = self.state.as_dict()
return [
'import matplotlib', "matplotlib.use('Agg')",
"# matplotlib.use('qt5Agg')", 'import matplotlib.pyplot as plt'
], SCRIPT_HEADER.format(**state_dict)
def _script_footer(self):
state_dict = self.state.as_dict()
state_dict['x_log_str'] = 'log' if self.state.x_log else 'linear'
state_dict['y_log_str'] = 'log' if self.state.y_log else 'linear'
return [], SCRIPT_FOOTER.format(**state_dict)
def _script_legend(self):
state_dict = self.state.legend.as_dict()
state_dict['location'] = self.state.legend.mpl_location
state_dict['edge_color'] = self.state.legend.edge_color
legend_str = SCRIPT_LEGEND.format(**state_dict)
if not self.state.legend.visible:
legend_str = indent(legend_str, "# ")
return [], legend_str
class MatplotlibDataViewer(DataViewer):
_state_cls = MatplotlibDataViewerState
tools = ['mpl:home', 'mpl:pan', 'mpl:zoom']
subtools = {'save': ['mpl:save']}
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 _update_computation(self, message=None):
# If we get a ComputationStartedMessage and the timer isn't currently
# active, then we start the timer but we then return straight away.
# This is to avoid showing the 'Computing' message straight away in the
# case of reasonably fast operations.
if isinstance(message, ComputationStartedMessage):
if not self._monitor_computation.isActive():
self._monitor_computation.start()
return
for layer_artist in self.layers:
if layer_artist.is_computing:
self.loading_rectangle.set_visible(True)
text = self.loading_text.get_text()
if text.count('.') > 2:
text = 'Computing'
else:
text += '.'
self.loading_text.set_text(text)
self.loading_text.set_visible(True)
self.redraw()
return
self.loading_rectangle.set_visible(False)
self.loading_text.set_visible(False)
self.redraw()
# If we get here, the computation has stopped so we can stop the timer
self._monitor_computation.stop()
def add_data(self, *args, **kwargs):
return super(MatplotlibDataViewer, self).add_data(*args, **kwargs)
def add_subset(self, *args, **kwargs):
return super(MatplotlibDataViewer, self).add_subset(*args, **kwargs)
def update_x_axislabel(self, *event):
self.axes.set_xlabel(self.state.x_axislabel,
weight=self.state.x_axislabel_weight,
size=self.state.x_axislabel_size)
self.redraw()
def update_y_axislabel(self, *event):
self.axes.set_ylabel(self.state.y_axislabel,
weight=self.state.y_axislabel_weight,
size=self.state.y_axislabel_size)
self.redraw()
def update_x_ticklabel(self, *event):
self.axes.tick_params(axis='x', labelsize=self.state.x_ticklabel_size)
self.axes.xaxis.get_offset_text().set_fontsize(self.state.x_ticklabel_size)
self.redraw()
def update_y_ticklabel(self, *event):
self.axes.tick_params(axis='y', labelsize=self.state.y_ticklabel_size)
self.axes.yaxis.get_offset_text().set_fontsize(self.state.y_ticklabel_size)
self.redraw()
def redraw(self):
self.figure.canvas.draw()
def update_x_log(self, *args):
self.axes.set_xscale('log' if self.state.x_log else 'linear')
self.redraw()
def update_y_log(self, *args):
self.axes.set_yscale('log' if self.state.y_log else 'linear')
self.redraw()
def update_aspect(self, aspect=None):
self.axes.set_aspect(self.state.aspect, adjustable='datalim')
@avoid_circular
def limits_from_mpl(self, *args):
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
if isinstance(self.state.x_min, np.datetime64):
x_min, x_max = [mpl_to_datetime64(x) for x in self.axes.get_xlim()]
else:
x_min, x_max = self.axes.get_xlim()
self.state.x_min, self.state.x_max = x_min, x_max
if isinstance(self.state.y_min, np.datetime64):
y_min, y_max = [mpl_to_datetime64(y) for y in self.axes.get_ylim()]
else:
y_min, y_max = self.axes.get_ylim()
self.state.y_min, self.state.y_max = y_min, y_max
@avoid_circular
def limits_to_mpl(self, *args):
if self.state.x_min is not None and self.state.x_max is not None:
x_min, x_max = self.state.x_min, self.state.x_max
if self.state.x_log:
if self.state.x_max <= 0:
x_min, x_max = 0.1, 1
elif self.state.x_min <= 0:
x_min = x_max / 10
self.axes.set_xlim(x_min, x_max)
if self.state.y_min is not None and self.state.y_max is not None:
y_min, y_max = self.state.y_min, self.state.y_max
if self.state.y_log:
if self.state.y_max <= 0:
y_min, y_max = 0.1, 1
elif self.state.y_min <= 0:
y_min = y_max / 10
self.axes.set_ylim(y_min, y_max)
if self.state.aspect == 'equal':
# FIXME: for a reason I don't quite understand, dataLim doesn't
# get updated immediately here, which means that there are then
# issues in the first draw of the image (the limits are such that
# only part of the image is shown). We just set dataLim manually
# to avoid this issue.
self.axes.dataLim.intervalx = self.axes.get_xlim()
self.axes.dataLim.intervaly = self.axes.get_ylim()
# We then force the aspect to be computed straight away
self.axes.apply_aspect()
# And propagate any changes back to the state since we have the
# @avoid_circular decorator
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
# TODO: fix case with datetime64 here
self.state.x_min, self.state.x_max = self.axes.get_xlim()
self.state.y_min, self.state.y_max = self.axes.get_ylim()
self.axes.figure.canvas.draw()
# TODO: shouldn't need this!
@property
def axes(self):
return self._axes
def _update_appearance_from_settings(self, message=None):
update_appearance_from_settings(self.axes)
self.redraw()
def get_layer_artist(self, cls, layer=None, layer_state=None):
return cls(self.axes, self.state, layer=layer, layer_state=layer_state)
def apply_roi(self, roi, use_current=False):
""" This method must be implemented by subclasses """
raise NotImplementedError
def _script_header(self):
state_dict = self.state.as_dict()
return ['import matplotlib.pyplot as plt'], SCRIPT_HEADER.format(**state_dict)
def _script_footer(self):
state_dict = self.state.as_dict()
state_dict['x_log_str'] = 'log' if self.state.x_log else 'linear'
state_dict['y_log_str'] = 'log' if self.state.y_log else 'linear'
return [], SCRIPT_FOOTER.format(**state_dict)
class MatplotlibViewerMixin(object):
def setup_callbacks(self):
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('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)
if (self.state.x_min or self.state.x_max or self.state.y_min or self.state.y_max) is None:
self.limits_from_mpl()
else:
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.figure.canvas.mpl_connect('resize_event', self._on_resize)
self._on_resize()
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()
def _update_computation(self, message=None):
pass
def update_x_axislabel(self, *event):
self.axes.set_xlabel(self.state.x_axislabel,
weight=self.state.x_axislabel_weight,
size=self.state.x_axislabel_size)
self.redraw()
def update_y_axislabel(self, *event):
self.axes.set_ylabel(self.state.y_axislabel,
weight=self.state.y_axislabel_weight,
size=self.state.y_axislabel_size)
self.redraw()
def update_x_ticklabel(self, *event):
self.axes.tick_params(axis='x', labelsize=self.state.x_ticklabel_size)
self.axes.xaxis.get_offset_text().set_fontsize(self.state.x_ticklabel_size)
self.redraw()
def update_y_ticklabel(self, *event):
self.axes.tick_params(axis='y', labelsize=self.state.y_ticklabel_size)
self.axes.yaxis.get_offset_text().set_fontsize(self.state.y_ticklabel_size)
self.redraw()
def redraw(self):
self.figure.canvas.draw_idle()
def update_x_log(self, *args):
self.axes.set_xscale('log' if self.state.x_log else 'linear')
self.redraw()
def update_y_log(self, *args):
self.axes.set_yscale('log' if self.state.y_log else 'linear')
self.redraw()
def limits_from_mpl(self, *args, **kwargs):
if getattr(self, '_skip_limits_from_mpl', False):
return
if isinstance(self.state.x_min, np.datetime64):
x_min, x_max = [mpl_to_datetime64(x) for x in self.axes.get_xlim()]
else:
x_min, x_max = self.axes.get_xlim()
if isinstance(self.state.y_min, np.datetime64):
y_min, y_max = [mpl_to_datetime64(y) for y in self.axes.get_ylim()]
else:
y_min, y_max = self.axes.get_ylim()
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
self.state.x_min = x_min
self.state.x_max = x_max
self.state.y_min = y_min
self.state.y_max = y_max
def limits_to_mpl(self, *args):
if (self.state.x_min is None or self.state.x_max is None or
self.state.y_min is None or self.state.y_max is None):
return
x_min, x_max = self.state.x_min, self.state.x_max
if self.state.x_log:
if self.state.x_max <= 0:
x_min, x_max = 0.1, 1
elif self.state.x_min <= 0:
x_min = x_max / 10
y_min, y_max = self.state.y_min, self.state.y_max
if self.state.y_log:
if self.state.y_max <= 0:
y_min, y_max = 0.1, 1
elif self.state.y_min <= 0:
y_min = y_max / 10
# Since we deal with aspect ratio internally, there are no conditions
# under which we would want to immediately change the state once the
# limits are set in Matplotlib, so we avoid this by setting the
# _skip_limits_from_mpl attribute which is then recognized inside
# limits_from_mpl
self._skip_limits_from_mpl = True
try:
self.axes.set_xlim(x_min, x_max)
self.axes.set_ylim(y_min, y_max)
self.axes.figure.canvas.draw_idle()
finally:
self._skip_limits_from_mpl = False
@property
def axes_ratio(self):
# Get figure aspect ratio
width, height = self.figure.get_size_inches()
fig_aspect = height / width
# Get axes aspect ratio
l, b, w, h = self.axes.get_position().bounds
axes_ratio = fig_aspect * (h / w)
return axes_ratio
def _on_resize(self, *args):
self.state._set_axes_aspect_ratio(self.axes_ratio)
def _update_appearance_from_settings(self, message=None):
update_appearance_from_settings(self.axes)
self.redraw()
def get_layer_artist(self, cls, layer=None, layer_state=None):
return cls(self.axes, self.state, layer=layer, layer_state=layer_state)
def apply_roi(self, roi, override_mode=None):
""" This method must be implemented by subclasses """
raise NotImplementedError
def _script_header(self):
state_dict = self.state.as_dict()
return ['import matplotlib', "matplotlib.use('Agg')", 'import matplotlib.pyplot as plt'], SCRIPT_HEADER.format(**state_dict)
def _script_footer(self):
state_dict = self.state.as_dict()
state_dict['x_log_str'] = 'log' if self.state.x_log else 'linear'
state_dict['y_log_str'] = 'log' if self.state.y_log else 'linear'
return [], SCRIPT_FOOTER.format(**state_dict)
class MatplotlibViewerMixin(object):
def setup_callbacks(self):
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()
def _update_computation(self, message=None):
pass
def update_x_axislabel(self, *event):
self.axes.set_xlabel(self.state.x_axislabel,
weight=self.state.x_axislabel_weight,
size=self.state.x_axislabel_size)
self.redraw()
def update_y_axislabel(self, *event):
self.axes.set_ylabel(self.state.y_axislabel,
weight=self.state.y_axislabel_weight,
size=self.state.y_axislabel_size)
self.redraw()
def update_x_ticklabel(self, *event):
self.axes.tick_params(axis='x', labelsize=self.state.x_ticklabel_size)
self.axes.xaxis.get_offset_text().set_fontsize(
self.state.x_ticklabel_size)
self.redraw()
def update_y_ticklabel(self, *event):
self.axes.tick_params(axis='y', labelsize=self.state.y_ticklabel_size)
self.axes.yaxis.get_offset_text().set_fontsize(
self.state.y_ticklabel_size)
self.redraw()
def redraw(self):
self.figure.canvas.draw()
def update_x_log(self, *args):
self.axes.set_xscale('log' if self.state.x_log else 'linear')
self.redraw()
def update_y_log(self, *args):
self.axes.set_yscale('log' if self.state.y_log else 'linear')
self.redraw()
def update_aspect(self, aspect=None):
self.axes.set_aspect(self.state.aspect, adjustable='datalim')
@avoid_circular
def limits_from_mpl(self, *args):
with delay_callback(self.state, 'x_min', 'x_max', 'y_min', 'y_max'):
if isinstance(self.state.x_min, np.datetime64):
x_min, x_max = [
mpl_to_datetime64(x) for x in self.axes.get_xlim()
]
else:
x_min, x_max = self.axes.get_xlim()
self.state.x_min, self.state.x_max = x_min, x_max
if isinstance(self.state.y_min, np.datetime64):
y_min, y_max = [
mpl_to_datetime64(y) for y in self.axes.get_ylim()
]
else:
y_min, y_max = self.axes.get_ylim()
self.state.y_min, self.state.y_max = y_min, y_max
@avoid_circular
def limits_to_mpl(self, *args):
if self.state.x_min is not None and self.state.x_max is not None:
x_min, x_max = self.state.x_min, self.state.x_max
if self.state.x_log:
if self.state.x_max <= 0:
x_min, x_max = 0.1, 1
elif self.state.x_min <= 0:
x_min = x_max / 10
self.axes.set_xlim(x_min, x_max)
if self.state.y_min is not None and self.state.y_max is not None:
y_min, y_max = self.state.y_min, self.state.y_max
if self.state.y_log:
if self.state.y_max <= 0:
y_min, y_max = 0.1, 1
elif self.state.y_min <= 0:
y_min = y_max / 10
self.axes.set_ylim(y_min, y_max)
if self.state.aspect == 'equal':
# FIXME: for a reason I don't quite understand, dataLim doesn't
# get updated immediately here, which means that there are then
# issues in the first draw of the image (the limits are such that
# only part of the image is shown). We just set dataLim manually
# to avoid this issue.
self.axes.dataLim.intervalx = self.axes.get_xlim()
self.axes.dataLim.intervaly = self.axes.get_ylim()
# We then force the aspect to be computed straight away
self.axes.apply_aspect()
# And propagate any changes back to the state since we have the
# @avoid_circular decorator
with delay_callback(self.state, 'x_min', 'x_max', 'y_min',
'y_max'):
# TODO: fix case with datetime64 here
self.state.x_min, self.state.x_max = self.axes.get_xlim()
self.state.y_min, self.state.y_max = self.axes.get_ylim()
self.axes.figure.canvas.draw()
def _update_appearance_from_settings(self, message=None):
update_appearance_from_settings(self.axes)
self.redraw()
def get_layer_artist(self, cls, layer=None, layer_state=None):
return cls(self.axes, self.state, layer=layer, layer_state=layer_state)
def apply_roi(self, roi, override_mode=None):
""" This method must be implemented by subclasses """
raise NotImplementedError
def _script_header(self):
state_dict = self.state.as_dict()
return ['import matplotlib.pyplot as plt'
], SCRIPT_HEADER.format(**state_dict)
def _script_footer(self):
state_dict = self.state.as_dict()
state_dict['x_log_str'] = 'log' if self.state.x_log else 'linear'
state_dict['y_log_str'] = 'log' if self.state.y_log else 'linear'
return [], SCRIPT_FOOTER.format(**state_dict)