I had to comment out these 2 lines in scripts/draw_map.py

hover_line.renderers.append(lines_glyph) hover_circle.renderers.append(circles_glyph)

otherwise I would receive the following error and a blank page in the browser.

2018-05-24 16:59:06,237 Starting Bokeh server version 0.12.16 (running on Tornado 5.0.2) 2018-05-24 16:59:06,243 Bokeh app running at: http://localhost:5006/bokeh_app 2018-05-24 16:59:06,243 Starting Bokeh server with process id: 18459 [18471:18493:0524/165906.877041:ERROR:browser_gpu_channel_host_factory.cc(119)] Failed to launch GPU process. Created new window in existing browser session. /home/foo/.virtualenvs/BokehDashbord-8BNqqEK8/lib/python3.5/site-packages/pandas/core/frame.py:6201: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version of pandas will change to not sort by default.

To accept the future behavior, pass 'sort=True'.

To retain the current behavior and silence the warning, pass sort=False

sort=sort) 2018-05-24 16:59:10,798 Error running application handler <bokeh.application.handlers.directory.DirectoryHandler object at 0x7fe98e428fd0>: 'str' object has no attribute 'append' File "draw_map.py", line 142, in make_plot: hover_circle.renderers.append(circles_glyph) Traceback (most recent call last): File "/home/foo/.virtualenvs/BokehDashbord-8BNqqEK8/lib/python3.5/site-packages/bokeh/application/handlers/code_runner.py", line 163, in run exec(self._code, module.dict) File "/home/foo/code/BokehDashbord/bokeh_app/main.py", line 34, in tab4 = map_tab(map_data, states) File "/home/foo/code/BokehDashbord/bokeh_app/scripts/draw_map.py", line 208, in map_tab p = make_plot(src, xs, ys) File "/home/foo/code/BokehDashbord/bokeh_app/scripts/draw_map.py", line 142, in make_plot hover_circle.renderers.append(circles_glyph) AttributeError: 'str' object has no attribute 'append'

Hi Will, I saw your post on medium and just wanted to take a quick look, before diving deeper. :) So I cloned your project and installed missing dependencies, but it is not starting? A requirements file would be nice too.

Mabye you have an idea why it is not starting. Tried with python 3.65 (latest) on Win10 to start via "bokeh_app\main.py".

It looks like it starts and then gives me back the command prompt without any error message. I normally don't use python, so maybe I'm the issue. ;-)

KR,

Peter

I updated three files in Scripts: density, draw_map, and histogram . Replaced airline_colors.sort() with airline_colors = sorted(airline_colors) in each file. This resolves error: "AttributeError: 'tuple' object has no attribute 'sort'"

ImportError: cannot import name 'return_future' when show(app). tornado.concurrent can be imported manually, but fail to from tornado.concurrent import return_future;

When running the Interactive example in Jupyter, in "Plot with Carrier Select Control" in "show(app)" I get the following error:

AttributeError: 'Application' object has no attribute 'references' in Interactive Demo

e.g a simple .gitignore file in this case would contain

pycache/

However it is a good idea to create a more comprehensive file tailored to your IDE. See https://www.gitignore.io/ for examples.

Hi,

I'm trying to replicate the second in your series of tutorials but am having trouble with the CheckboxGroup part. While the initial carriers load and appear, there seems to be a disconnect that's preventing the CheckboxGroup active list from updating data displayed in the histogram. So when I check or uncheck a box, it won't be reflected in the histogram.

I've removed the binwidth and range sliders to cut down on the problem. Otherwise the code below is essentially as the original in your github.

def` histogram_bokeh(flights):
    
    def make_dataset(carrier_list, range_start = -60, range_end = 120, bin_width=5):
    
        #check to make sure start is less than end:
        assert range_start < range_end, "Start must be less than end!"

        by_carrier = pd.DataFrame(columns=['proportion', 'left', 'right',
                                          'f_proportion', 'f_interval',
                                          'name', 'color'])
        range_extent = range_end - range_start

        for i, carrier_name in enumerate(carrier_list):

            #subset to the carrier
            subset = flights[flights['name'] == carrier_name]

            # Create a histogram
            arr_hist, edges = np.histogram(subset['arr_delay'],
                                          bins = int(range_extent / bin_width),
                                          range = [range_start, range_end])

            # Divide the counts by the total to get a proportion and create df
            arr_df = pd.DataFrame({'proportion': arr_hist / np.sum(arr_hist),
                                  'left': edges[:-1],
                                  'right': edges [1:]})

            #Format the proportion
            arr_df['f_proportion'] = ['%0.5f' % proportion for proportion in arr_df['proportion']]

            #Format the interval
            arr_df['f_interval'] = ['%d to %d minutes' % (left, right) for left,
                                    right in zip(arr_df['left'], arr_df['right'])]
            #Assign the carrier for labels
            arr_df['name'] = carrier_name
            #Colour each carrier differently
            arr_df['color'] = Category20_16[i]
            #Add to the overall dataframe
            by_carrier = by_carrier.append(arr_df)
        
        # Overall dataframe
        by_carrier = by_carrier.sort_values(['name','left'])
        
        #Convert dataframe to column data source
        return ColumnDataSource(by_carrier)
        
    def make_plot(src):
        # Blank plot with correct labels
        p = figure(plot_width = 700, plot_height = 700,
                  title = "Histogram of Arrival Delays by Carrier",
                  x_axis_label = 'Delay (min)', y_axis_label = 'Proportion')

        # Quad glyphs to create a histogram
        p.quad(source = src, bottom = 0, top = 'proportion', left = 'left', right = 'right',
              color = 'color', fill_alpha = 0.7, hover_fill_color = 'color', legend = 'name',
              hover_fill_alpha = 1.0, line_color = 'black')

        # HoverTool
        hover = HoverTool(tooltips=[('Carrier', '@name'),
                                   ('Delay', '@f_interval'),
                                   ('Proportion', '@f_proportion')])
        p.add_tools(hover)
        return p
    
    
    def update(attr, old, new):
        carriers_to_plot = [carrier_selection.labels[i] for i in carrier_selection.active]
        new_src = make_dataset(carriers_to_plot)
        src.data.update(new_src.data)    
    
    carrier_selection = CheckboxGroup(labels = available_carriers, active=[0,1,9])
    carrier_selection.on_change('active', update)
    
    initial_carriers = [carrier_selection.labels[i] for i in carrier_selection.active]
    src = make_dataset(initial_carriers)
    
    p = make_plot(src)
        
    controls = WidgetBox(carrier_selection)
    
    # Create a row layout
    layout = row(controls, p)
    
    # make a tab with the layout
    tab = Panel(title = "histogram", child = layout) 
    tabs = Tabs(tabs=[tab]) #add tab2 to list for additional tabs
    
    return tabs

show(histogram_bokeh(flights))

Note that I found I need Panels in the last section to make it work. Otherwise, essentially the same. I suspect there might be something in the update function that's causing it to not work?

I am using bokeh 0.12.16.

Thanks!

I followed all the instructions but when I run bokeh serve command the page opens in browser but doesn't display anything, when I inspect element, I see this message. What could be the problem?