bokeh

问题 I am currently using Bokeh to plot some biological sequence data. Part of the plot involves displaying some text (amino acid residues) just above the x-axis, aligned with the numbers on the axis. When the user zooms in, they are then able to inspect the amino acid sequence (represented by single letters) that accompanies the data. However, when zoomed out, these letters merge together, and look quite messy. Is there any way to selectively plot/show glyphs depending on the zoom level? Many

问题 I am working on a dashboard with a responsive map in the center that should take most available space ( stretch_both ) and two performance plots on either side with fixed width and a stretching height. Below the map is a slider that should have default height but stretch to the width of the map. Finally there is a button that should take a corner space and be of fixed size to avoid looking awkward. Here is the design: Here is a minimal not working example of a directory app: from bokeh.models

问题 I am working on a dashboard with a responsive map in the center that should take most available space ( stretch_both ) and two performance plots on either side with fixed width and a stretching height. Below the map is a slider that should have default height but stretch to the width of the map. Finally there is a button that should take a corner space and be of fixed size to avoid looking awkward. Here is the design: Here is a minimal not working example of a directory app: from bokeh.models

问题 I am working on a dashboard with a responsive map in the center that should take most available space ( stretch_both ) and two performance plots on either side with fixed width and a stretching height. Below the map is a slider that should have default height but stretch to the width of the map. Finally there is a button that should take a corner space and be of fixed size to avoid looking awkward. Here is the design: Here is a minimal not working example of a directory app: from bokeh.models

问题 I'm using bokeh to plot 100 graph files in a loop. for k in files: # Read the log file data into a df. log_file_name = str(k) + ".csv" logged_data = pd.read_csv("csv/"+log_file_name, parse_dates=["dttm_utc"], date_parser=dateparse) new_logged_data = logged_data.set_index("dttm_utc") mean_data = new_logged_data.resample("3D", how=[np.mean]) # Extract the energy values and time stamps out into two ds. energy_data = mean_data["value"]["mean"] time_data = mean_data.index # Plotting output_file(

问题 I'm using bokeh to plot 100 graph files in a loop. for k in files: # Read the log file data into a df. log_file_name = str(k) + ".csv" logged_data = pd.read_csv("csv/"+log_file_name, parse_dates=["dttm_utc"], date_parser=dateparse) new_logged_data = logged_data.set_index("dttm_utc") mean_data = new_logged_data.resample("3D", how=[np.mean]) # Extract the energy values and time stamps out into two ds. energy_data = mean_data["value"]["mean"] time_data = mean_data.index # Plotting output_file(

问题 I would like to know if there is a way to change the properties of tabs produced on a bokeh plot. Changes like increasing the text font, changing the tab width and so on. The following is a simple code for producing a plot with two tabs. from bokeh.models.widgets import Panel, Tabs from bokeh.io import output_file, show from bokeh.plotting import figure output_file("slider.html") p1 = figure(plot_width=300, plot_height=300) p1.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=20, color="navy",

问题 I have pandas series as: >>> etypes 0 6271 1 6379 2 399 3 110 4 4184 5 1987 And I want to draw Bar chart in Bokeh: p = Bar(etypes) . However for legend I get just etypes index number, which I tried to decrypt with this dictionary: legend = { 0: 'type_1', 1: 'type_2', 2: 'type_3', 3: 'type_4', 4: 'type_5', 5: 'type_6', } by passing it to label argument: p = Bar(etypes, label=legend) , but it didn't work. Also passing the list(legend.values()) does not work. Any ideas how to add custom legend

问题 I have pandas series as: >>> etypes 0 6271 1 6379 2 399 3 110 4 4184 5 1987 And I want to draw Bar chart in Bokeh: p = Bar(etypes) . However for legend I get just etypes index number, which I tried to decrypt with this dictionary: legend = { 0: 'type_1', 1: 'type_2', 2: 'type_3', 3: 'type_4', 4: 'type_5', 5: 'type_6', } by passing it to label argument: p = Bar(etypes, label=legend) , but it didn't work. Also passing the list(legend.values()) does not work. Any ideas how to add custom legend

问题 I use bokeh embedded via the components function. Acutally I use : plot.sizing_mode = "scale_width" Which scales according to the width and maintains the aspect ratio. But I would like to have a responsive width but a fixed or maximum height. How is that possible to achieve? 回答1: There are stretch_both and scale_both options. How the item being displayed should size itself. Possible values are "fixed", "scale_width", "scale_height", "scale_both", and "stretch_both". "stretch_both" elements