def color_picker():
def color_slider(title, color):
return Slider(title=title, show_value=False, height=300, value=127, start=0, end=255, step=1, orientation="vertical", bar_color=color)
red = color_slider("R", "red")
green = color_slider("G", "green")
blue = color_slider("B", "blue")
div = Div(width=100, height=100, style=dict(backgroundColor="rgb(127, 127, 127"))
cb = CustomJS(args=dict(red=red, green=green, blue=blue, div=div), code="""
var color = "rgb(" + red.value + ", " + green.value + ", " + blue.value + ")";
div.style = {backgroundColor: color};
""")
red.callback = cb
green.callback = cb
blue.callback = cb
return Row(children=[
WidgetBox(width=50, children=[red]),
WidgetBox(width=50, children=[green]),
WidgetBox(width=50, children=[blue]),
div,
])
def make_layout():
import pandas as pd
plot, source = make_plot()
template = """<span href="#" data-toggle="tooltip" title="<%= value %>"><%= value %></span>"""
columns = [
TableColumn(field="dates", title="Date", editor=DateEditor(), formatter=DateFormatter()),
TableColumn(field="downloads", title="Downloads", editor=IntEditor()),
]
df = pd.DataFrame([
['this is a longer text that needs a tooltip, because otherwise we do not see the whole text',
'this is a short text'],
['this is another loooooooooooooooong text that needs a tooltip', 'not much here'],
], columns=['a', 'b'])
columns = [TableColumn(field=c, title=c, width=20, formatter=HTMLTemplateFormatter(template=template))
for c in ['a', 'b']]
source = ColumnDataSource(data=df)
data_table = DataTable(source=source, columns = columns)
l = layout([[data_table]])
return l
data_table = DataTable(source=source, columns=columns, width=400, height=400, editable=True)
button = Button(label="Randomize data", button_type="success")
button.on_click(click_handler)
buttons = WidgetBox(children=[button], width=400)
column = Column(children=[buttons, plot, data_table])
return column
def create_layout():
year_select = Select(title="Year:", value="2010", options=years)
location_select = Select(title="Location:", value="World", options=locations)
year_select.on_change('value', on_year_change)
location_select.on_change('value', on_location_change)
controls = WidgetBox(children=[year_select, location_select], height=150, width=600)
layout = Column(children=[controls, pyramid(), population()])
return layout
def make_data_table(self):
# Add Table
columns = [TableColumn(field=col, title=col) for col in self.data_df.keys()]
dt = DataTable(source=self.table_source,
columns=columns,
width=1800,
height=400,
scroll_to_selection=False)
return WidgetBox(dt)
def make_layout():
plot, source = make_plot()
columns = [
TableColumn(field="dates", title="Date", editor=DateEditor(), formatter=DateFormatter()),
TableColumn(field="downloads", title="Downloads", editor=IntEditor()),
]
data_table = DataTable(source=source, columns=columns, width=400, height=400, editable=True)
button = Button(label="Randomize data", button_type="success")
button.on_click(click_handler)
buttons = WidgetBox(children=[button], width=400)
column = Column(children=[buttons, plot, data_table])
return column
radio_button_group = RadioButtonGroup(
labels=["Option 1", "Option 2", "Option 3"], active=0)
radio_button_group.on_click(
lambda value: print('radio_button_group: %s' % value))
radio_button_group.js_on_click(
CustomJS(
code=
"console.log('radio_button_group: ' + this.active, this.toString())"))
widgetBox = WidgetBox(children=[
button,
button_disabled,
toggle_inactive,
toggle_active,
dropdown,
dropdown_disabled, #dropdown_split,
checkbox_group,
radio_group,
checkbox_button_group,
radio_button_group,
])
document = curdoc()
document.add_root(widgetBox)
if __name__ == "__main__":
session = push_session(document)
session.show()
session.loop_until_closed()
def test_WidgetBox():
check_props(WidgetBox())
check_widget_box_children_prop(WidgetBox)
def test_widgetbox_deprecated() -> None:
from bokeh.util.deprecation import BokehDeprecationWarning
with pytest.warns(BokehDeprecationWarning):
WidgetBox()
label_data = ColumnDataSource(
data=dict(x=[1, 2, 3], y=[0, 0, 0], t=['Original', 'Normal', 'Uniform']))
label_set = LabelSet(x='x',
y='y',
text='t',
y_offset=-4,
source=label_data,
render_mode='css',
text_baseline="top",
text_align='center')
p.add_layout(label_set)
callback = CustomJS(args=dict(source=source, normal=normal, uniform=uniform),
code="""
data=source.get('data')
for (i=0; i < data['y'].length; i++) {
data['xn'][i] = normal.compute(data['x'][i]+1)
}
for (i=0; i < data['y'].length; i++) {
data['xu'][i] = uniform.compute(data['x'][i]+2)
}
source.trigger('change')
""")
button = Button(label='Press to apply Jitter!', callback=callback)
output_file("transform_jitter.html", title="Example Jitter Transform")
show(Column(WidgetBox(button, width=300), p))
plot.scatter(flowers["petal_length"],
flowers["petal_width"],
color=color,
fill_alpha=0.2,
size=12)
return Panel(title="Tab 1: %s" % color.capitalize(), child=plot)
tabs = Tabs(tabs=[mk_tab("red"), mk_tab("green"), mk_tab("blue")])
widgets = Row(children=[
WidgetBox(children=[
button,
toggle,
dropdown,
split,
checkbox_group,
radio_group,
checkbox_button_group,
radio_button_group,
]),
WidgetBox(children=[
text_input,
autocomplete_input,
select,
multi_select,
slider,
range_slider, #date_range_slider,
date_picker,
paragraph,
div,
pre_text,
except Exception as exception:
errbox.text = str(exception)
else:
errbox.text = ""
update_data()
slider = Slider(start=1,
end=20,
value=order,
step=1,
title="Order",
callback_policy='mouseup')
slider.on_change('value', on_slider_value_change)
text = TextInput(value=str(expr), title="Expression:")
text.on_change('value', on_text_value_change)
errbox = PreText()
inputs = WidgetBox(children=[slider, text, errbox], width=600)
layout = Column(children=[inputs, plot])
update_data()
document.add_root(layout)
session.show(layout)
if __name__ == "__main__":
document.validate()
print("\npress ctrl-C to exit")
session.loop_until_closed()
def create(self):
print("running create...")
manufacturers = sorted(mpg["manufacturer"].unique())
models = sorted(mpg["model"].unique())
transmissions = sorted(mpg["trans"].unique())
drives = sorted(mpg["drv"].unique())
classes = sorted(mpg["class"].unique())
manufacturer_select = Select(title="Manufacturer:",
value="All",
options=["All"] + manufacturers)
manufacturer_select.on_change('value', self.on_manufacturer_change)
model_select = Select(title="Model:",
value="All",
options=["All"] + models)
model_select.on_change('value', self.on_model_change)
transmission_select = Select(title="Transmission:",
value="All",
options=["All"] + transmissions)
transmission_select.on_change('value', self.on_transmission_change)
drive_select = Select(title="Drive:",
value="All",
options=["All"] + drives)
drive_select.on_change('value', self.on_drive_change)
class_select = Select(title="Class:",
value="All",
options=["All"] + classes)
class_select.on_change('value', self.on_class_change)
columns = [
TableColumn(field="manufacturer",
title="Manufacturer",
editor=SelectEditor(options=manufacturers),
formatter=StringFormatter(font_style="bold")),
TableColumn(field="model",
title="Model",
editor=StringEditor(completions=models)),
TableColumn(field="displ",
title="Displacement",
editor=NumberEditor(step=0.1),
formatter=NumberFormatter(format="0.0")),
TableColumn(field="year", title="Year", editor=IntEditor()),
TableColumn(field="cyl", title="Cylinders", editor=IntEditor()),
TableColumn(field="trans",
title="Transmission",
editor=SelectEditor(options=transmissions)),
TableColumn(field="drv",
title="Drive",
editor=SelectEditor(options=drives)),
TableColumn(field="class",
title="Class",
editor=SelectEditor(options=classes)),
TableColumn(field="cty", title="City MPG", editor=IntEditor()),
TableColumn(field="hwy", title="Highway MPG", editor=IntEditor()),
]
data_table = DataTable(source=self.source,
columns=columns,
editable=True,
width=1300)
plot = Plot(title=None,
x_range=DataRange1d(),
y_range=DataRange1d(),
plot_width=1000,
plot_height=300)
# Set up x & y axis
plot.add_layout(LinearAxis(), 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
# Add Glyphs
cty_glyph = Circle(x="index",
y="cty",
fill_color="#396285",
size=8,
fill_alpha=0.5,
line_alpha=0.5)
hwy_glyph = Circle(x="index",
y="hwy",
fill_color="#CE603D",
size=8,
fill_alpha=0.5,
line_alpha=0.5)
cty = plot.add_glyph(self.source, cty_glyph)
hwy = plot.add_glyph(self.source, hwy_glyph)
# Add the tools
tooltips = [
("Manufacturer", "@manufacturer"),
("Model", "@model"),
("Displacement", "@displ"),
("Year", "@year"),
("Cylinders", "@cyl"),
("Transmission", "@trans"),
("Drive", "@drv"),
("Class", "@class"),
]
cty_hover_tool = HoverTool(renderers=[cty],
tooltips=tooltips + [("City MPG", "@cty")])
hwy_hover_tool = HoverTool(renderers=[hwy],
tooltips=tooltips +
[("Highway MPG", "@hwy")])
select_tool = BoxSelectTool(renderers=[cty, hwy], dimensions='width')
plot.add_tools(cty_hover_tool, hwy_hover_tool, select_tool)
controls = WidgetBox(manufacturer_select, model_select,
transmission_select, drive_select, class_select)
top_panel = Row(controls, plot)
layout = Column(top_panel, data_table)
return layout
order = int(new)
update_data()
def on_text_value_change(attr, old, new):
try:
global expr
expr = sy.sympify(new, dict(x=xs))
except (sy.SympifyError, TypeError, ValueError) as exception:
dialog.content = str(exception)
dialog.visible = True
else:
update_data()
dialog = Dialog(title="Invalid expression")
slider = Slider(start=1, end=20, value=order, step=1, title="Order",callback_policy='mouseup')
slider.on_change('value', on_slider_value_change)
text = TextInput(value=str(expr), title="Expression:")
text.on_change('value', on_text_value_change)
inputs = WidgetBox(children=[slider, text],width=400)
layout = Column(children=[inputs, plot, dialog])
update_data()
document.add_root(layout)
session.show(layout)
if __name__ == "__main__":
print("\npress ctrl-C to exit")
session.loop_until_closed()
split = Dropdown(label="Split button", button_type="danger", menu=split_menu)
split.on_click(split_handler)
checkbox_group = CheckboxGroup(labels=["Option 1", "Option 2", "Option 3"],
active=[0, 1])
checkbox_group.on_click(checkbox_group_handler)
radio_group = RadioGroup(labels=["Option 1", "Option 2", "Option 3"], active=0)
radio_group.on_click(radio_group_handler)
checkbox_button_group = CheckboxButtonGroup(
labels=["Option 1", "Option 2", "Option 3"], active=[0, 1])
checkbox_button_group.on_click(checkbox_button_group_handler)
radio_button_group = RadioButtonGroup(
labels=["Option 1", "Option 2", "Option 3"], active=0)
radio_button_group.on_click(radio_button_group_handler)
widgetBox = WidgetBox(children=[
button, toggle, dropdown, split, checkbox_group, radio_group,
checkbox_button_group, radio_button_group
])
document = Document()
document.add_root(widgetBox)
session = push_session(document)
session.show()
if __name__ == "__main__":
session.loop_until_closed()
def render_plot(self,
display_type='object',
directory=None,
legend_position='below',
legend_orientation='horizontal',
widget_position='left'):
"""
Pull everything together into a plot ready for display.
Parameters:
display_plot (str): either 'object', 'notebook', or an
arbitrary string. If 'object', it returns the plot object.
If 'notebook', the plot is displayed in the notebok.
If an arbitrary string that does not match one of the other pptions,
the plot is saved to '{display_plot}.html' in the current working
directory if `directory` is None, or in `directory` if not None.
legend_position (str): 'below', 'above', 'left', or 'right'
legend_orientation (str): 'horizontal' or 'vertical'
widget_position (str): 'below', 'above', 'left', or 'right'
"""
self._validate_workflow('render_plot')
for k in self.columndatasources.keys():
for suffix in self.remove_columns[k]:
self.columndatasources[k].data.pop('xs' + suffix)
self.columndatasources[k].data.pop('ys' + suffix)
if len(self.legend.items) > 0:
self.legend.orientation = legend_orientation
self.plot.add_layout(self.legend, legend_position)
self.plot.toolbar.autohide = self.autohide
if self.colorbar is not None:
self.plot = Row(children=[self.plot, self.colorbar])
if len(self.widgets) > 0:
if 'animation' in self.widgets.keys():
animate = True
button = self.widgets.pop('animation')
button = button['widget']
else:
animate = False
button = None
widget_list = [d['widget'] for d in self.widgets.values()]
if animate:
if (len(widget_list) > 1) or not isinstance(
widget_list[0], bokeh_utils.Slider):
raise NotImplementedError(
'Animations are currently only implented for plots that have only a Slider widget.'
)
widget_list = [button] + widget_list
if widget_position not in ('left', 'right', 'above', 'below'):
raise ValueError(
"Valid widget positions are 'left', 'right', 'above', 'below'."
)
if widget_position == 'left':
self.plot = Row(
children=[WidgetBox(children=widget_list), self.plot])
if widget_position == 'right':
self.plot = Row(
children=[self.plot,
WidgetBox(children=widget_list)])
if widget_position == 'above':
self.plot = Column(
children=[WidgetBox(children=widget_list), self.plot])
if widget_position == 'below':
self.plot = Column(
children=[self.plot,
WidgetBox(children=widget_list)])
if len(self.data_tables) > 0:
self.plot = Column(children=[self.plot] + self.data_tables)
self.validation['render_plot'] = True
if display_type == 'notebook':
output_notebook(CDN, hide_banner=True, load_timeout=60000)
show(self.plot)
elif display_type == 'object':
return self.plot
else:
if directory is not None:
display_type = path.join(directory, display_type)
save(self.plot,
filename='{}.html'.format(display_type),
resources=CDN,
title=display_type)
return display_type
def make_plot(self,title, x, y):
"""
:param title:
:param x:
:param y:
:return:
"""
print(title,x,y)
t0 = time()
pt = PanTool()
lst = LassoSelectTool()
pst = PolySelectTool()
bst = BoxSelectTool()
wzt = WheelZoomTool()
tt = TapTool()
st = SaveTool()
ut = UndoTool()
rt = RedoTool()
p = figure(
tools=[pt,lst,pst,bst,wzt,tt,st,ut,rt],
plot_width=400,
plot_height=400,
title=self.initial_plot_2_data_mapper[x]+" vs. "+self.initial_plot_2_data_mapper[y],
webgl=accelerator)
# configure so that no drag tools are active
p.toolbar.active_drag = pt
# configure so that Bokeh chooses what (if any) scroll tool is active
p.toolbar.active_scroll = wzt
# configure so that a specific PolySelect tap tool is active
p.toolbar.active_tap = tt
p.xaxis.axis_label = self.initial_plot_2_data_mapper[x]
p.yaxis.axis_label = self.initial_plot_2_data_mapper[y]
c = p.circle(x=x, y=y, size=5, color="__COLOR__", alpha=.75, source=self.source,
hover_color='white', hover_alpha=1, hover_line_color='grey')
c.data_source.on_change('selected', self.update)
# Edge generator
'''
self.graph_set = [{i: [[1,0.15],[2,0.5],[3,0.99]] for i in range(self.n)}]
self.edge_colors = qual_2_color(['g'+str(i) for i,_ in enumerate(self.graph_set)])
self.edge_sources = [ColumnDataSource({'x0': [],
'y0': [],
'x1': [],
'y1': [],
'alpha': []})
for i in self.graph_set]
self.edge_segments = [p.segment(x0='x0',
y0='y0',
x1='x1',
y1='y1',
color=self.edge_colors[i],
alpha='alpha',
line_width=3,
#line_dash=[1,1],
source=self.edge_sources[i])
for i, _ in enumerate(self.graph_set)]
for i, _ in enumerate(self.graph_set):
code1 = """
var links = %s;
var data = {'x0': [], 'y0': [], 'x1': [], 'y1': [], 'alpha': []};
var cdata = circle.get('data');
var indices = cb_data.index['1d'].indices;
for (i=0; i < indices.length; i++) {
ind0 = indices[i]
for (j=0; j < links[ind0].length; j++) {
ind1 = links[ind0][j][0];
w = links[ind0][j][1];
""" % self.graph_set[i]
code2 = "data['x0'].push(cdata['" + x + "'][ind0]);\n" + \
"data['y0'].push(cdata['" + y + "'][ind0]);\n" + \
"data['x1'].push(cdata['" + x + "'][ind1]);\n" + \
"data['y1'].push(cdata['" + y + "'][ind1]);\n" + \
"data['alpha'].push([w]);\n"
code3 = "}}segment.set('data', data);"
code = code1 + code2 + code3
callback = CustomJS(args={'circle': c.data_source,
'segment': self.edge_segments[i].data_source},
code=code)
p.add_tools(HoverTool(tooltips=None, callback=callback, renderers=[c]))
'''
p.select(BoxSelectTool).select_every_mousemove = False
p.select(LassoSelectTool).select_every_mousemove = False
# Plot Controls
xdim_select = Select(title="X Dim", options=self.data_dict.keys(), value=self.initial_plot_2_data_mapper[x],width=400)
ydim_select = Select(title="Y Dim", options=self.data_dict.keys(), value=self.initial_plot_2_data_mapper[y],width=400)
xdim_select.on_change('value', self.plot_update)
ydim_select.on_change('value', self.plot_update)
remove = Button(label="Remove", button_type="danger",width=400)
remove.on_click(partial(self.remove_plot,title,x,y))
self.plot_control_dict[title] = {'x':xdim_select,
'y':ydim_select,
'xprev':xdim_select.value,
'yprev':ydim_select.value,
'figure':p,
'tooltip':HoverTool(tooltips=self.tooltip_list,point_policy='snap_to_data',show_arrow=False)}
# Give the hover tool a tool tip
self.plot_control_dict[title]['figure'].add_tools(self.plot_control_dict[title]['tooltip'])
# Form Tab
plot_options = WidgetBox(xdim_select,ydim_select,remove)
tab1 = Panel(child=self.plot_control_dict[title]['figure'], title=title,width=400,height=400)
tab2 = Panel(child=plot_options, title="options",width=400,height=400)
tabs = Tabs(tabs=[tab1, tab2],width=400,height=400)
self.tab_list.append(tabs)
self.circle_list.append(c)
print('Plot Time: ' + str(time() - t0))
return tabs, c
