bokeh

I'm using bokeh 1.0.1 version inside a Django application and I would like to display microscopic surface images as zoomable image plots with a color-encoded height and colorbar. In principle this works, but I have problems to get plots with the correct aspect ratio only showing the image without space around. Here is an example for what I want to achieve: The resulting plot should show an image of random data having a width of sx=10 and a height of sy=5 in data space (image size ) have axes limited to (0,sx) and (0,sy) , on initial view and when zooming a square on the screen should match a

Is there possible to update bokeh figure's renderes in IPython's interact function. I have code which looks like: x = [0, 1, 2, 3, 4] y = [0, 1, 2, 3, 4] source = ColumnDataSource(data=dict(x=x, y=y) f = figure() f.line(x, y, source=source) show(f) def update_func(selected_data): source.data['y'] = ... source.push_notebook() <here I would like to add BoxAnnotation to figure f, and rerender it> interactive(update_func, selected_data=[0,1,2]) You could use CustomJS to insert some JavaScript code that will be used to change the bottom and top values of the BoxAnnotation. I'm using the Slider from

I've enabled the hide legend option for my dataset. When I click it, only one bar goes off and others stay. I'm not quite sure what is causing the issue. Here's the bar plot before and after: . Here's what my data looks like: Here's the code: p = Bar(output,'Programs',values="Averages", group="University",plot_width=600,plot_height=400, title="Comparison") p.legend.click_policy="hide" output_file("bar.html") show(p) It is not currently (Bokeh 0.12.6) possible to hide all the bars via legend.click_policy="hide" , as stated in the documentation : Interactive legend features currently work on

I have a Bokeh application that makes use of the Python callbacks for various widget events. With certain events, I'd like to execute some JavaScript code before making the callback to the Python function. Is this possible? In this case, the Python callback is potentially long-running, and I'd like to start and stop a Javascript spinner object before and after the long-running Python code executes. As of Bokeh 1.0.4, "busy" / "done" events (to enable things like triggering spinners or other UI events) are still an open feature request. In the mean time, your best bet is to use some "dummy"

Is there a simple way to automatically fit a Bokeh plot to the screen used to display your browser? Right now I'm setting the plot width and height manually. Note: when I say fit I mean that I want the plot to fill 80% of the visible screen. In more recent bokeh versions, yes you can do this (easily). plots and layouts now have a sizing_mode property which by default is set to fixed . The other values include scale_width , scale_height , and scale_both . import bokeh.plotting import bokeh.layouts fig1 = bokeh.plotting.figure() fig1.sizing_mode = 'scale_width' fig2 = bokeh.plotting.figure()

I have a Bokeh plotting app, and I need to allow the user to upload a CSV file and modify the plots according to the data in it. Is it possible to do this with the available widgets of Bokeh? Thank you very much. Although there is no native Bokeh widget for file input. It is quite doable to extend the current tools provided by Bokeh. This answer will try to guide you through the steps of creating a custom widget and modifying the bokeh javascript to read, parse and output the file. First though a lot of the credit goes to bigreddot's previous answer on creating the widget. I simply extended