bokeh

问题 I am using the TapTool in bokeh to select some circles which I have drawn on top of a gmap . Currently, the selected circle is in the foreground and the rest fade into the map background. Is there a way to change this default behaviour? I would like, for example, to give a different colour boundary to the selected circle and keep the rest the same. Is there a way to change the rendering of the selected and unselected objects? 回答1: The Styling Visual Attributes chapter of the User's Guide has

问题 Using the following code with Bokeh server, I am currently able to color a selected node in my network graph pink by selecting it from a dropdown. What I'd like to do is extend the code to do is allow me to perform the same highlight callback, when a node is clicked , using Taptool() or some other method. Is this possible? import networkx as nx from bokeh.models.graphs import from_networkx from bokeh.models import Range1d, MultiLine, Circle, TapTool, Plot from bokeh.plotting import figure

问题 I have dt_source = ColumnDataSource( { "date": result_detail['report_date_as_yyyy_mm_dd'] ,"contract": result_detail['contract_name'] ,"open_interest": result_detail['open_interest'] } ) tools="wheel_zoom,reset,save,crosshair,pan,box_zoom" oi = figure(plot_width=800, plot_height=200, x_axis_type="datetime", tools=tools, title="Open Interest") oi.line(x="date", y="open_interest", source=dt_source) oi.title_text_font_size = value("12pt") oi.ygrid.grid_line_color = None oi.yaxis.minor_tick_line

问题 I have dt_source = ColumnDataSource( { "date": result_detail['report_date_as_yyyy_mm_dd'] ,"contract": result_detail['contract_name'] ,"open_interest": result_detail['open_interest'] } ) tools="wheel_zoom,reset,save,crosshair,pan,box_zoom" oi = figure(plot_width=800, plot_height=200, x_axis_type="datetime", tools=tools, title="Open Interest") oi.line(x="date", y="open_interest", source=dt_source) oi.title_text_font_size = value("12pt") oi.ygrid.grid_line_color = None oi.yaxis.minor_tick_line

问题 I have dt_source = ColumnDataSource( { "date": result_detail['report_date_as_yyyy_mm_dd'] ,"contract": result_detail['contract_name'] ,"open_interest": result_detail['open_interest'] } ) tools="wheel_zoom,reset,save,crosshair,pan,box_zoom" oi = figure(plot_width=800, plot_height=200, x_axis_type="datetime", tools=tools, title="Open Interest") oi.line(x="date", y="open_interest", source=dt_source) oi.title_text_font_size = value("12pt") oi.ygrid.grid_line_color = None oi.yaxis.minor_tick_line

问题 I'm looking for a way to export my Jupyter Notebook containing interactive Bokeh plots with widgets to standalone HTML. When using the Jupyter NB "download to" HTML function located in the toolbar, everything but the interactive Bokeh plots export well, also the static Bokeh plots (static plots are 'interactive' as well, but the underlying data does not change) How do I get the interactive plots with widgets working in a standalone HTML? Below you can find a working example in Jupyter

问题 I'm looking for a way to export my Jupyter Notebook containing interactive Bokeh plots with widgets to standalone HTML. When using the Jupyter NB "download to" HTML function located in the toolbar, everything but the interactive Bokeh plots export well, also the static Bokeh plots (static plots are 'interactive' as well, but the underlying data does not change) How do I get the interactive plots with widgets working in a standalone HTML? Below you can find a working example in Jupyter

问题 I'm looking for a way to export my Jupyter Notebook containing interactive Bokeh plots with widgets to standalone HTML. When using the Jupyter NB "download to" HTML function located in the toolbar, everything but the interactive Bokeh plots export well, also the static Bokeh plots (static plots are 'interactive' as well, but the underlying data does not change) How do I get the interactive plots with widgets working in a standalone HTML? Below you can find a working example in Jupyter

问题 I'm trying to generate a bokeh application which allows the user to change the glyphs of a plot. Unfortunately, the glyphs don't change after calling on_change() method of the dropdown button although I'm able to change the axis label in a similar way. However, changing plot.glyph outside of the called function works fine. from bokeh.layouts import layout from bokeh.models import ColumnDataSource from bokeh.models.widgets import Dropdown from bokeh.plotting import figure from bokeh.io import

问题 I'm working with bokeh to generate stock data, whereby the user selects a tickername and start/end dates to generate a graph. However, when selecting certain stocks, the y axis becomes distorted (See my previous question: Bokeh plot becomes distorted when certain stocks are inputted). I've tried to mitigate this by manually setting the y range as the min and max values of a stock upon selection, however, the new range does not update and the y axis does not change. How can I fix this issue?