我正在使用散景 1.0.1。我无法在Update方法中更新数据源,即src.data.update(new_src.data)
似乎不起作用。下面是完整的代码。
def modify_doc(doc):
def create_dataset(df, resample='D'):
# Resample the data
src = df.resample(resample).mean()
# Reset index for hovering
src.reset_index(inplace=True)
return ColumnDataSource(src)
def create_plot(src):
# Blank plot with correct labels
p = figure(plot_width=700, plot_height=300, x_axis_type="datetime",
title = 'Variation of Pollution',
x_axis_label = 'Time', y_axis_label = 'Pollution (µg/m³)')
p.line(source=src, x='Date & Time', y='pm2.5', line_width=2,
color='firebrick', line_alpha=0.5, legend='Actual')
hover = HoverTool(tooltips=[('Pollution', '@{pm2.5} µg/m³'),
('Air Temp', '@{Air Temp.} °C'),
('Temp', '(@{Min. Temp.}{0.2f}, @{Max. Temp.}{0.2f}) °C'),
('Dew Pt.', '@{Dew Pt.} °C'),
('Rainfall', '@Rainfall mm'),
('Wind Dir.', '@{Wind Dir.} °'),
('Wind Speed', '@{Wind Speed} km/hr'),
('Relative humidity', '(@{Min. RH}{0.2f}, @{Max. RH}{0.2f}) %')],
mode='vline')
p.add_tools(hover)
p.legend.click_policy = 'hide'
return p
# Update function takes three default parameters
def update(attr, old, new):
# Resampling list
re_list = ['D', 'W', 'M', 'A']
# Make a new dataset based on the selected carriers and the
# make_dataset function defined earlier
new_src = create_dataset(df,
resample = re_list[resample_button_group.active])
# Update the source used the quad glpyhs
src.data.update(new_src.data)
resample_button_group = RadioButtonGroup(labels=["Day", "Week", "Month", "Year"], active=1)
resample_button_group.on_change('active', update)
controls = WidgetBox(resample_button_group)
# Initial Plot
src = create_dataset(df)
p = create_plot(src.data)
layout = row(controls, p)
doc.add_root(layout)
# Set up an application
handler = FunctionHandler(modify_doc)
app = Application(handler)