def lightcurve_widget(self):
'''Create light curve widget'''
xax = bq.Axis(label='Time (MJD)',
scale=self.sc_x,
grid_lines='solid',
label_location="middle")
xax.tick_style = {'stroke': 'black', 'font-size': 12}
yax = bq.Axis(label='Magnitude',
scale=self.sc_y,
orientation='vertical',
tick_format='0.1f',
grid_lines='solid',
label_location="middle")
yax.tick_style = {'stroke': 'black', 'font-size': 12}
panzoom = bq.PanZoom(scales={'x': [self.sc_x], 'y': [self.sc_y]})
return bq.Figure(
axes=[xax, yax],
marks=[],
layout=Layout(width='100%', height='auto'),
fig_margin={
'top': 0,
'bottom': 40,
'left': 50,
'right': 0
},
legend_location='top-right',
)
def axis_lock_update(checkbox):
####### Only allows one checkbox to be locked at a time ######
if checkbox['owner'].description == self.control_x.description:
if self.control_y.value:
self.control_y.value = False
if checkbox['owner'].description == self.control_y.description:
if self.control_x.value:
self.control_x.value = False
##############################################################
# When a axis checkbox is locked.
# Updates the panzoom tool to lock eithier the x or y axis.
# Also updates the zoombrush tool to use relevant zoom brush
if self.control_x.value:
if self.control_y.value:
self.panzoom = bqplot.PanZoom()
self.zoom_brush = self.zoom_brush_none
else:
self.panzoom = bqplot.PanZoom(
scales={'y': [self.scale_y]})
self.zoom_brush = self.zoom_brush_vertical
else:
if self.control_y.value:
self.panzoom = bqplot.PanZoom(
scales={'x': [self.scale_x]})
self.zoom_brush = self.zoom_brush_horizontal
else:
self.panzoom = bqplot.PanZoom(scales={
'x': [self.scale_x],
'y': [self.scale_y]
})
self.zoom_brush = self.zoom_brush_full
tool_actions_map[PAN_ZOOM] = self.panzoom
tool_actions_map[ZOOM_SELECT] = self.zoom_brush
# Update immediately if in PAN_ZOOM mode
name = self.tool_actions[self.interaction_tooltips.v_model]
if name == PAN_ZOOM:
self.figure.interaction = self.panzoom
elif name == ZOOM_SELECT:
self.figure.interaction = self.zoom_brush
def update_panzoom(checkbox):
if control_x.value:
if control_y.value:
self.panzoom = bqplot.PanZoom(scales={
'x': [self.scale_x],
'y': [self.scale_y]
})
else:
self.panzoom = bqplot.PanZoom(
scales={'x': [self.scale_x]})
else:
if control_y.value:
self.panzoom = bqplot.PanZoom(
scales={'y': [self.scale_y]})
else:
self.panzoom = bqplot.PanZoom()
tool_actions_map[PAN_ZOOM] = self.panzoom
# Update immediately if in PAN_ZOOM mode
name = tool_actions[self.interaction_tooltips.v_model]
if name == PAN_ZOOM:
self.figure.interaction = self.panzoom
def create_plot():
index = pd.date_range(start='2000-06-01', end='2001-06-01',
freq='30min') + timedelta(minutes=15)
s = pd.Series(np.full(len(index), np.nan), index=index)
x = index.values
y = s
x_sc = bq.DateScale()
y_sc = bq.LinearScale(min=0)
line = bq.Lines(
x=x,
y=y,
scales={
'x': x_sc,
'y': y_sc
},
#display_legend=True, labels=["line 1"],
#fill='bottom', # opacity does work with this option
#fill_opacities = [0.5] *len(x)
)
panzoom = bq.PanZoom(scales={'x': [x_sc], 'y': [y_sc]})
#p = bq.Scatter(x=x, y=y, scales= {'x': x_sc, 'y': y_sc})
ax_x = bq.Axis(scale=x_sc)
ax_y = bq.Axis(scale=y_sc, orientation='vertical', tick_format='0.2f')
#fig = bq.Figure(marks=[line, p], axes=[ax_x, ax_y])
fig = bq.Figure(marks=[line], axes=[ax_x, ax_y], interaction=panzoom)
fig.layout.width = '95%'
#p.interactions = {'click': 'select', 'hover': 'tooltip'}
#p.selected_style = {'opacity': 1.0, 'fill': 'DarkOrange', 'stroke': 'Red'}
#p.unselected_style = {'opacity': 0.5}
#p.tooltip = bq.Tooltip(fields=['x', 'y'], formats=['', '.2f'])
#sel = bq.interacts.IndexSelector(scale=p.scales['x'])
#
#def update_range(*args):
# if sel.selected:
# print(sel.selected[0])
#
#sel.observe(update_range, 'selected')
#fig.interaction = sel
return fig, line
def __init__(self, zoom_y=True, **kwargs):
super().__init__(**kwargs)
self.x_scale = bqplot.LinearScale(allow_padding=False)
self.y_scale = bqplot.LinearScale(allow_padding=False)
widgets.link((self, 'x_min'), (self.x_scale, 'min'))
widgets.link((self, 'x_max'), (self.x_scale, 'max'))
widgets.link((self, 'y_min'), (self.y_scale, 'min'))
widgets.link((self, 'y_max'), (self.y_scale, 'max'))
self.x_axis = bqplot.Axis(scale=self.x_scale)
self.y_axis = bqplot.Axis(scale=self.y_scale, orientation='vertical')
widgets.link((self, 'x_label'), (self.x_axis, 'label'))
widgets.link((self, 'y_label'), (self.y_axis, 'label'))
self.x_axis.color = blackish
self.y_axis.color = blackish
self.x_axis.label_color = blackish
self.y_axis.label_color = blackish
# self.y_axis.tick_style = {'fill': blackish, 'stroke':'none'}
self.y_axis.grid_color = blackish
self.x_axis.grid_color = blackish
self.x_axis.label_offset = "2em"
self.y_axis.label_offset = "3em"
self.x_axis.grid_lines = 'none'
self.y_axis.grid_lines = 'none'
self.axes = [self.x_axis, self.y_axis]
self.scales = {'x': self.x_scale, 'y': self.y_scale}
self.figure = bqplot.Figure(axes=self.axes)
self.figure.background_style = {'fill': 'none'}
self.figure.padding_y = 0
self.figure.fig_margin = {'bottom': 40, 'left': 60, 'right': 10, 'top': 10}
self.interacts = {}
self.interacts['pan-zoom'] = bqplot.PanZoom(scales={'x': [self.x_scale], 'y': [self.y_scale] if zoom_y else []})
self.interacts['select-rect'] = bqplot.interacts.BrushSelector(x_scale=self.x_scale, y_scale=self.y_scale, color="green")
self.interacts['select-x'] = bqplot.interacts.BrushIntervalSelector(scale=self.x_scale, color="green")
self._brush = self.interacts['select-rect']
self._brush_interval = self.interacts['select-x']
# TODO: put the debounce in the presenter?
@vaex.jupyter.debounced(DEBOUNCE_SELECT)
def update_brush(*args):
with self.output:
if not self._brush.brushing: # if we ended _brushing, reset it
self.figure.interaction = None
if self._brush.selected is not None:
x1, x2 = self._brush.selected_x
y1, y2 = self._brush.selected_y
# (x1, y1), (x2, y2) = self._brush.selected
# mode = self.modes_names[self.modes_labels.index(self.button_selection_mode.value)]
self.presenter.select_rectangle(x1, x2, y1, y2)
else:
self.presenter.select_nothing()
if not self._brush.brushing: # but then put it back again so the rectangle is gone,
self.figure.interaction = self._brush
self._brush.observe(update_brush, ["selected", "selected_x"])
@vaex.jupyter.debounced(DEBOUNCE_SELECT)
def update_brush(*args):
with self.output:
if not self._brush_interval.brushing: # if we ended _brushing, reset it
self.figure.interaction = None
if self._brush_interval.selected is not None and len(self._brush_interval.selected):
x1, x2 = self._brush_interval.selected
self.presenter.select_x_range(x1, x2)
else:
self.presenter.select_nothing()
if not self._brush_interval.brushing: # but then put it back again so the rectangle is gone,
self.figure.interaction = self._brush_interval
self._brush_interval.observe(update_brush, ["selected"])
def tool_change(change=None):
self.figure.interaction = self.interacts.get(self.tool, None)
self.observe(tool_change, 'tool')
self.widget = self.figure
def create_widget(self, output, plot, dataset, limits):
self.plot = plot
self.output = output
self.dataset = dataset
self.limits = np.array(limits).tolist()
def fix(v):
# bqplot is picky about float and numpy scalars
if hasattr(v, 'item'):
return v.item()
else:
return v
self.scale_x = bqplot.LinearScale(min=fix(limits[0][0]),
max=fix(limits[0][1]),
allow_padding=False)
self.scale_y = bqplot.LinearScale(min=fix(limits[1][0]),
max=fix(limits[1][1]),
allow_padding=False)
self.scales = {'x': self.scale_x, 'y': self.scale_y}
self.figure = plt.figure(self.figure_key,
fig=self.figure,
scales=self.scales)
self.figure.layout.width = 'calc(100% - 400px)'
self.figure.layout.min_height = '800px'
plt.figure(fig=self.figure)
#self.figure.padding_y = 0
x = np.arange(0, 10)
y = x**2
self.core_image = widgets.Image(format='png')
self.core_image_fix = widgets.Image(format='png')
self.image = bqplot.Image(scales=self.scales, image=self.core_image)
# triggered by regular mouse click not a brush selector
self.image.on_element_click(self.click_to_zoom)
self.figure.marks = self.figure.marks + [self.image]
self.scatter = s = plt.scatter(x,
y,
visible=False,
rotation=x,
scales=self.scales,
size=x,
marker="arrow")
self.panzoom = bqplot.PanZoom(scales={
'x': [self.scale_x],
'y': [self.scale_y]
})
self.figure.interaction = self.panzoom
for axes in self.figure.axes:
axes.grid_lines = 'none'
axes.color = axes.grid_color = axes.label_color = blackish
self.figure.axes[0].label = plot.x_label
self.figure.axes[1].label = plot.y_label
self.figure.axes[1].scale = bqplot.LinearScale(min=0,
max=self.scale_y.max -
self.scale_y.min,
allow_padding=False)
self.stuck_ctr = 0
self.base_address = widgets.Label(
value=f"Base address: 0x{int(self.limits[1][0]):X}")
self.zoom_args = widgets.Text(description="Zoom Args",
value=self.zoom_args_string(),
disabled=True,
style={'description_width': 'initial'},
layout=widgets.Layout(width='50%'))
self.curr_action = Action.other
self.undo_actions = list()
self.redo_actions = list()
self.counter = 2
self.scale_x.observe(self._update_limits)
self.scale_y.observe(self._update_limits)
self.widget = widgets.VBox(
[self.figure, self.base_address, self.zoom_args])
self.create_tools()
def __init__(self, session):
super(BqplotBaseView, self).__init__(session)
# session.hub.subscribe(self, SubsetCreateMessage,
# handler=self.receive_message)
self.state = self._state_cls()
# if we allow padding, we sometimes get odd behaviour with the interacts
self.scale_x = bqplot.LinearScale(min=0, max=1, allow_padding=False)
self.scale_y = bqplot.LinearScale(min=0, max=1)
self.scales = {'x': self.scale_x, 'y': self.scale_y}
self.axis_x = bqplot.Axis(
scale=self.scale_x, grid_lines='solid', label='x')
self.axis_y = bqplot.Axis(scale=self.scale_y, orientation='vertical', tick_format='0.2f',
grid_lines='solid', label='y')
def update_axes(*ignore):
self.axis_x.label = str(self.state.x_att)
if self.is2d:
self.axis_y.label = str(self.state.y_att)
self.state.add_callback('x_att', update_axes)
if self.is2d:
self.state.add_callback('y_att', update_axes)
self.figure = bqplot.Figure(scales=self.scales, animation_duration=0, axes=[
self.axis_x, self.axis_y])
self.figure.padding_y = 0
actions = ['move']
self.interact_map = {}
self.panzoom = bqplot.PanZoom(scales={'x': [self.scale_x], 'y': [self.scale_y]})
self.interact_map['move'] = self.panzoom
if self.is2d:
self.brush = bqplot.interacts.BrushSelector(x_scale=self.scale_x, y_scale=self.scale_y, color="green")
self.interact_map['brush'] = self.brush
self.brush.observe(self.update_brush, "brushing")
actions.append('brush')
self.brush_x = bqplot.interacts.BrushIntervalSelector(scale=self.scale_x, color="green" )
self.interact_map['brush x'] = self.brush_x
self.brush_x.observe(self.update_brush_x, "brushing")
actions.append('brush x')
if self.is2d:
self.brush_y = bqplot.interacts.BrushIntervalSelector(scale=self.scale_y, color="green", orientation='vertical')
self.interact_map['brush y'] = self.brush_y
self.brush_y.observe(self.update_brush_y, "brushing")
actions.append('brush y')
self.button_action = widgets.ToggleButtons(description='Mode: ', options=[(action, action) for action in actions],
icons=["arrows", "pencil-square-o"])
self.button_action.observe(self.change_action, "value")
self.change_action() # 'fire' manually for intial value
# self.state.add_callback('y_att', self._update_axes)
# self.state.add_callback('x_log', self._update_axes)
# self.state.add_callback('y_log', self._update_axes)
self.state.add_callback('x_min', self.limits_to_scales)
self.state.add_callback('x_max', self.limits_to_scales)
self.state.add_callback('y_min', self.limits_to_scales)
self.state.add_callback('y_max', self.limits_to_scales)
self.create_tab()
self.output_widget = widgets.Output()
self.main_widget = widgets.VBox(
children=[self.tab, self.figure, self.output_widget])
def plot_signals_low_freq(data, v, w_j, n_days=60):
signals_dict = signals_low_freq(data, w_j, n_days)
signals_df = pd.DataFrame(signals_dict, index=["High Freq Signals"]).T
pos_signals_date, neg_signals_date, exit_signals_date = entry_exit(
signals_df)
x_ord = bqplot.DateScale()
y_sc = bqplot.LinearScale()
line = bqplot.Lines(x=data.index,
y=data.values.squeeze(),
scales={
'x': x_ord,
'y': y_sc
},
stroke_width=2,
display_legend=False,
labels=['Underlying TS'])
scatter1 = bqplot.Scatter(x=pd.DatetimeIndex(pos_signals_date),
y=data.loc[pos_signals_date].squeeze(),
colors=["green"],
scales={
'x': x_ord,
'y': y_sc
},
marker='triangle-up',
default_size=25)
scatter2 = bqplot.Scatter(x=pd.DatetimeIndex(neg_signals_date),
y=data.loc[neg_signals_date].squeeze(),
colors=["red"],
scales={
'x': x_ord,
'y': y_sc
},
marker='triangle-down',
default_size=25)
scatter3 = bqplot.Scatter(x=pd.DatetimeIndex(exit_signals_date),
y=data.loc[exit_signals_date].squeeze(),
colors=["white"],
scales={
'x': x_ord,
'y': y_sc
},
marker='square',
default_size=25)
ax_x = bqplot.Axis(scale=x_ord)
ax_y = bqplot.Axis(scale=y_sc,
orientation='vertical',
tick_format='0.2f',
grid_lines='solid')
fig = bqplot.Figure(marks=[line, scatter1, scatter2, scatter3],
axes=[ax_x, ax_y])
pz = bqplot.PanZoom(scales={'x': [x_ord], 'y': [y_sc]})
pzx = bqplot.PanZoom(scales={'x': [x_ord]})
pzy = bqplot.PanZoom(scales={
'y': [y_sc],
})
#
"""zoom_interacts = ToggleButtons(
options=OrderedDict([
('xy ', pz),
('x ', pzx),
('y ', pzy),
(' ', None)]),
icons = ["arrows", "arrows-h", "arrows-v", "stop"],
tooltips = ["zoom/pan in x & y", "zoom/pan in x only", "zoom/pan in y only", "cancel zoom/pan"]
)
zoom_interacts.style.button_width = '50px'
ResetZoomButton = Button(
description='',
disabled=False,
button_style='', # 'success', 'info', 'warning', 'danger' or ''
tooltip='Reset zoom',
icon='arrows-alt'
)"""
def resetZoom(new):
# Reset the x and y axes on the figure
fig.axes[0].scale.min = None
fig.axes[1].scale.min = None
fig.axes[0].scale.max = None
fig.axes[1].scale.max = None
ResetZoomButton.on_click(resetZoom)
ResetZoomButton.layout.width = '95%'
link((zoom_interacts, 'value'), (fig, 'interaction'))
display(fig, zoom_interacts)
def plot_bq(self, grid=None, size=256, limits=None, square=False, center=None, weight=None, figsize=None,
aspect="auto", f="identity", fig=None, axes=None, xlabel=None, ylabel=None, title=None,
group_by=None, group_limits=None, group_colors='jet', group_labels=None, group_count=None,
cmap="afmhot", scales=None, tool_select=False, bq_cleanup=True,
**kwargs):
import vaex.ext.bqplot
import bqplot.interacts
import bqplot.pyplot as p
import ipywidgets as widgets
import bqplot as bq
f = _parse_f(f)
limits = self.limits(limits)
import vaex.ext.bqplot
vaex.ext.bqplot.patch()
if not hasattr(self, "_bqplot"):
self._bqplot = {}
self._bqplot["cleanups"] = []
else:
if bq_cleanup:
for cleanup in self._bqplot["cleanups"]:
cleanup()
self._bqplot["cleanups"] = []
if limits is None:
limits = self.limits_sigma()
#if fig is None:
if scales is None:
x_scale = bq.LinearScale(min=limits[0][0], max=limits[0][1])
y_scale = bq.LinearScale(min=limits[1][0], max=limits[1][1])
scales = {'x': x_scale, 'y': y_scale}
else:
x_scale = scales["x"]
y_scale = scales["y"]
if 1:
fig = p.figure() # actually, bqplot doesn't return it
fig = p.current_figure()
fig.fig_color = "black" # TODO, take the color from the colormap
fig.padding_y = 0
# if we don't do this, bqplot may flip some axes... report this bug
x = np.arange(10)
y = x**2
p.plot(x, y, scales=scales)
#p.xlim(*limits[0])
#p.ylim(*limits[1])
#if grid is None:
if group_limits is None and group_by:
group_limits = tuple(self.dataset(group_by).minmax()[0]) + (group_count,)
#fig = p.
#if xlabel:
fig.axes[0].label = xlabel or self.expressions[0]
#if ylabel:
fig.axes[1].label = ylabel or self.expressions[1]
if title:
fig.title = title
#axes.set_aspect(aspect)
rgba8 = self.image_rgba(grid=grid, size=size, limits=limits, square=square, center=center, weight=weight,
f=f, axes=axes,
group_by=group_by, group_limits=group_limits, group_colors=group_colors, group_count=group_count,
cmap=cmap)
#x_scale = p._context["scales"]["x"]
#y_scale = p._context["scales"]["y"]
src="http://localhost:8888/kernelspecs/python2/logo-64x64.png"
import bqplot.marks
im = vaex.ext.bqplot.Image(src=src, scales=scales, x=0, y=0, width=1, height=1)
if 0:
size = 20
x_data = np.arange(size)
line = bq.Lines(x=x_data, y=np.random.randn(size), scales={'x': x_scale, 'y': y_scale},
stroke_width=3, colors=['red'])
ax_x = bq.Axis(scale=x_scale, tick_format='0.2f', grid_lines='solid')
ax_y = bq.Axis(scale=y_scale, orientation='vertical', tick_format='0.2f', grid_lines='solid')
panzoom = bq.PanZoom(scales={'x': [x_scale], 'y': [y_scale]})
lasso = bqplot.interacts.LassoSelector()
brush = bqplot.interacts.BrushSelector(x_scale=x_scale, y_scale=y_scale, color="green")
fig = bq.Figure(marks=[line,im], axes=[ax_x, ax_y], min_width=100, min_height=100, interaction=panzoom)
else:
fig.marks = list(fig.marks) + [im]
def make_image(executor, limits):
#print "make image" * 100
self.executor = executor
if self.dataset.has_selection():
sub = self.selected()
else:
sub = self
return sub.image_rgba(limits=limits, size=size, f=f)
progress = widgets.FloatProgress(value=0.0, min=0.0, max=1.0, step=0.01)
updater = vaex.ext.bqplot.DebouncedThreadedUpdater(self, size, im, make_image, progress_widget=progress)
def update_image():
limits = [x_scale.min, x_scale.max], [y_scale.min, y_scale.max]
#\print limits
#print "update...", limits
#vxbq.debounced_threaded_update(self.dataset, im, make_image2, limits=limits)
updater.update(limits)
def update(*args):
update_image()
y_scale.observe(update, "min")
y_scale.observe(update, "max")
x_scale.observe(update, "min")
x_scale.observe(update, "max")
update_image()
#fig = kwargs.pop('figure', p.current_figure())
tools = []
tool_actions = []
panzoom = bq.PanZoom(scales={'x': [x_scale], 'y': [y_scale]})
tool_actions_map = {u"m":panzoom}
tool_actions.append(u"m")
fig.interaction = panzoom
if tool_select:
brush = bqplot.interacts.BrushSelector(x_scale=x_scale, y_scale=y_scale, color="green")
tool_actions_map["b"] = brush
tool_actions.append("b")
def update_selection(*args):
def f():
if brush.selected:
(x1, y1), (x2, y2) = brush.selected
ex1, ex2 = self.expressions
mode = modes_names[modes_labels.index(button_selection_mode.value)]
self.dataset.select_rectangle(ex1, ex2, limits=[[x1, x2], [y1, y2]], mode=mode)
else:
self.dataset.select_nothing()
updater.update_select(f)
brush.observe(update_selection, "selected")
#fig.interaction = brush
#callback = self.dataset.signal_selection_changed.connect(lambda dataset: update_image())
callback = self.dataset.signal_selection_changed.connect(lambda dataset: updater.update_direct_safe())
def cleanup(callback=callback):
self.dataset.signal_selection_changed.disconnect(callback=callback)
self._bqplot["cleanups"].append(cleanup)
button_select_nothing = widgets.Button(icon="fa-trash-o")
def select_nothing(button):
self.dataset.select_nothing()
button_select_nothing.on_click(select_nothing)
tools.append(button_select_nothing)
modes_names = "replace and or xor subtract".split()
modes_labels = "= & | ^ -".split()
button_selection_mode = widgets.ToggleButtons(description='',options=modes_labels)
tools.append(button_selection_mode)
def change_interact(*args):
#print "change", args
fig.interaction = tool_actions_map[button_action.value]
#tool_actions = ["m", "b"]
#tool_actions = [("m", "m"), ("b", "b")]
button_action = widgets.ToggleButtons(description='',options=tool_actions, icons=["fa-arrows", "fa-pencil-square-o"])
button_action.observe(change_interact, "value")
tools.insert(0,button_action)
button_action.value = "m" #tool_actions[-1]
if len(tools) == 1:
tools = []
tools = widgets.HBox(tools)
box_layout = widgets.Layout(display='flex',
flex_flow='column',
#border='solid',
width='100%', height="100%")
fig.fig_margin = {'bottom': 40, 'left': 60, 'right': 10, 'top': 40}
#fig.min_height = 700
#fig.min_width = 400
fig.layout = box_layout
return widgets.VBox([fig, progress, tools])
