def test_callback_property_executes(self, bokeh_model_page):
group = RadioButtonGroup(labels=LABELS, css_classes=["foo"])
group.callback = CustomJS(code=RECORD("active", "cb_obj.active"))
page = bokeh_model_page(group)
el = page.driver.find_element_by_css_selector('.foo .bk-btn:nth-child(3)')
el.click()
results = page.results
assert results['active'] == 2
el = page.driver.find_element_by_css_selector('.foo .bk-btn:nth-child(1)')
el.click()
results = page.results
assert results['active'] == 0
assert page.has_no_console_errors()
def test_callback_property_executes(self, bokeh_model_page):
group = RadioButtonGroup(labels=LABELS, css_classes=["foo"])
group.callback = CustomJS(code=RECORD("active", "cb_obj.active"))
page = bokeh_model_page(group)
el = page.driver.find_element_by_css_selector('.foo .bk-btn:nth-child(3)')
el.click()
results = page.results
assert results['active'] == 2
el = page.driver.find_element_by_css_selector('.foo .bk-btn:nth-child(1)')
el.click()
results = page.results
assert results['active'] == 0
assert page.has_no_console_errors()
def test_callback_property_executes(self, bokeh_model_page):
group = RadioButtonGroup(labels=LABELS, css_classes=["foo"])
group.callback = CustomJS(code=RECORD("active", "cb_obj.active"))
page = bokeh_model_page(group)
el = page.driver.find_element_by_css_selector(
'div.foo div label input[value="2"]')
el = el.find_element_by_xpath('..')
el.click()
results = page.results
assert results['active'] == 2
el = page.driver.find_element_by_css_selector(
'div.foo div label input[value="0"]')
el = el.find_element_by_xpath('..')
el.click()
results = page.results
assert results['active'] == 0
assert page.has_no_console_errors()
radio = RadioButtonGroup(labels=['Gauche', 'Droite'], active=0)
slider = Slider(start=10,
end=100,
value=10,
step=1,
title='Nombre de rectangles')
radio.callback = CustomJS(args=dict(radio=radio, left=left, right=right),
code="""
switch(radio.active){
case 0:
left.visible = true;
right.visible = false;
break;
case 1:
left.visible = false;
right.visible = true;
break;
default:
left.visible = true;
right.visible = true;
}
""")
slider.callback = CustomJS(args=dict(source=source, slider=slider),
code="""
var a = 0;
var b = Math.PI;
var data = source.data;
var f = Math.cos;
var x = a;
radio_group.callback = CustomJS(args=sources,
code="""
var capitalGainsType = radio_group.active === 0 ? capital_gains_no : capital_gains_yes;
elasticity_option.set('labels', capitalGainsType.data.labels);
while (elasticity_option.active > capitalGainsType.data.source_ids.length - 1) {
elasticity_option.active = elasticity_option.active - 1;
}
ref.data = eval(capitalGainsType.data.source_ids[elasticity_option.active]).data;
ref.trigger('change');
""")
elasticity_option.callback = CustomJS(args=sources,
code="""
var capitalGainsType = radio_group.active === 0 ? capital_gains_no : capital_gains_yes;
ref.data = eval(capitalGainsType.data.source_ids[elasticity_option.active]).data;
ref.trigger('change');
""")
# create layout -----------------
controls = column(radio_group_text, radio_group, elasticity_text,
elasticity_option)
plots = dict(header=title_div, left=controls, center=fig)
script, divs = components(plots)
template_args = dict()
template_args['bokeh_script'] = script
template_args['plots'] = divs
template_args['page_title'] = 'Box Plot'
render_template('responsive', template_args, 'index.html')
def show_cells_on_stack(data,
stack,
X='X',
Y='Y',
channelNames=None,
group='group',
hue='hue',
palette='Spectral11',
default=0,
alpha=.5,
plot_width=500,
plot_height=500,
vmin=0,
vmax=3,
znorm=True):
'''
stack: np. array of shape (nchannels,height,width)
'''
from bokeh.models import CheckboxGroup, RadioButtonGroup, Legend, LegendItem
if not channelNames:
channelNames = ['Channel ' + str(i) for i in range(len(stack))]
print(channelNames)
s1 = ColumnDataSource(data=data)
p1 = figure(plot_width=plot_width,
plot_height=plot_height,
tools="pan,wheel_zoom,reset")
channels = {}
for i, channel in enumerate(channelNames):
img = stack[i]
if znorm:
img = (img - img.mean()) / img.std()
channels[i] = p1.image(image=[img],
x=[0],
y=[0],
dw=[plot_width],
dh=[plot_height],
color_mapper=LogColorMapper(palette=palette,
low=vmin,
high=vmax),
global_alpha=alpha,
visible=(i == default))
plots = {}
#scaled_coordinates to fit in stack_dw,stack_dh
dh_ratio = plot_height / img.shape[0]
dw_ratio = plot_width / img.shape[1]
data['warped_X'] = data[X] * dw_ratio
data['warped_Y'] = data[Y] * dh_ratio
groups = list(data[group].unique())
for g_id in groups:
s2 = ColumnDataSource(data=data[data[group] == g_id])
scatter = p1.circle('warped_X',
'warped_Y',
source=s2,
alpha=1,
color='hue') #,legend_label = str(g_id))
scatter.visible = False
plots[g_id] = scatter
select_celltype = CheckboxGroup(labels=groups, active=[], width=100)
select_channel = RadioButtonGroup(labels=channelNames,
active=default,
width=100,
orientation='horizontal')
select_celltype.callback = CustomJS(args={
'plots': plots,
'groups': groups,
'msel': select_celltype,
'fig': p1
},
code="""
//fig.title.text = 'new Title'
for (var i =0; i<groups.length;i++){
plots[groups[i]].visible = msel.active.indexOf(i)>-1
}
""")
select_channel.callback = CustomJS(args={
'channels': channels,
'sel': select_channel,
'fig': p1
},
code="""
//fig.title.text = Object.keys(channels).length.toString()
for (var i =0; i<Object.keys(channels).length;i++){
channels[i].visible = false
}
var val = sel.active
channels[val].visible = true
/**
if (val==0){
fig.title.text = 'confirm upper'
chan1.visible = true
chan2.visible = false
//bg_channel = [z[0]]
}else if (val==1){
fig.title.text = 'confirm lower'
chan1.visible = false
chan2.visible = true
//bg_channel = [z[1]]
}
**/
""")
layout = column(p1, select_celltype, select_channel)
show(layout)
}
source_sf_rate1.trigger('change');
source_sf_rate2.trigger('change');
source_abq_rate1.trigger('change');
source_abq_rate2.trigger('change');
source_det_rate1.trigger('change');
source_det_rate2.trigger('change');
source_sf_price1.trigger('change');
source_sf_price2.trigger('change');
source_abq_price1.trigger('change');
source_abq_price2.trigger('change');
source_det_price1.trigger('change');
source_det_price2.trigger('change');
""")
radio_button_group_city.callback = callback
radio_button_group_outlier.callback = callback
radio_button_group_var.callback = callback
plot.xgrid.grid_line_color = None
plot.ygrid.grid_line_color = "white"
plot.grid.grid_line_width = 2
plot.xaxis.major_label_text_font_size="12pt"
#plot.xaxis.major_label_orientation = -pi/4
plot.xaxis.axis_label = 'Variable'
plot.yaxis.axis_label = 'Value'
layout_boxplot = column(row(radio_button_group_city, radio_button_group_var), radio_button_group_outlier, plot)
###output html file
# create callbacks ---------------
radio_group.callback = CustomJS(args=sources, code="""
var capitalGainsType = radio_group.active === 0 ? capital_gains_no : capital_gains_yes;
elasticity_option.set('labels', capitalGainsType.data.labels);
while (elasticity_option.active > capitalGainsType.data.source_ids.length - 1) {
elasticity_option.active = elasticity_option.active - 1;
}
ref.data = eval(capitalGainsType.data.source_ids[elasticity_option.active]).data;
ref.trigger('change');
""")
elasticity_option.callback = CustomJS(args=sources, code="""
var capitalGainsType = radio_group.active === 0 ? capital_gains_no : capital_gains_yes;
ref.data = eval(capitalGainsType.data.source_ids[elasticity_option.active]).data;
ref.trigger('change');
""")
# create layout -----------------
controls = column(radio_group_text,
radio_group,
elasticity_text,
elasticity_option)
plots = dict(header=title_div, left=controls, center=fig)
script, divs = components(plots)
template_args = dict()
template_args['bokeh_script'] = script
