Small FYI that that code is a little sloppy-it's relying on JS implicitly casting strings like "0" to numbers. You could do something similar with a MultiSelect: select = MultiSelect(options=,Ĭallback = CustomJS(args=dict(plots=, col=col, select=select), code=""" Here is a complete example with a checkbox: from bokeh.io import output_file, showįrom bokeh.models import CheckboxGroup, CustomJSĬheckbox = CheckboxGroup(labels=,Ĭallback = CustomJS(args=dict(plots=, col=col, checkbox=checkbox), code="""Ĭheckbox.js_on_change('active', callback) I'm not quite sure what interaction you intend with a dropdown. So, you have seen how easy it is to create such a beautiful. xlabel and ylabel The label of the x-axis and y-axis relatively. x and y Simply pass in the column name (s) of the Pandas dataframe. So you will have to reset the children value of the layout widget. In order to add widgets or have multiple plots that are linked together, you must first be able to create documents that contain these separate objects. Currently, pandasbokeh supports the following chart types: line, point, step, scatter, bar, histogram, area, pie and map. Plots don't have a visible toggle, at least as of version 0.13. S3 = figure(plot_width=250, plot_height=250, title=None) S2 = figure(plot_width=250, plot_height=250, title=None) S1 = figure(plot_width=250, plot_height=250, title=None) I have multiple figures in a column generated as: from bokeh.io import output_file, show I'd hope that the image wouldn't be visible anymore and the next figure would jump up like so: I am not familiar with JS, any guidance? (Thanks in advance) A drop down menu (OptionMenu with multiple selections) where I could select which plots showed up (assuming I could name the figures) would be preferable. Currently I can have only one figure (with multiple plots using grid/rows/columns) but not with multiple figures. Green_line = ax.line(,, legend="green", color="green")Ĭallback = CustomJS.Looking to do something along the lines of a UI as here: Bokeh: Using Checkbox widget to hide and show plots wherein I can selectively show/hide the whole figure in a column of figures. I have a need to have 2 bokeh figures on a page. Red_line = ax.line(,, legend="red", color="red") Span3 = Span(location=t, dimension='height', line_color=c) It can create versatile, data-driven graphics and connect the full power of the entire Python data science stack to create rich, interactive visualizations. Span2 = Span(location=t, dimension='height', line_color=c) Bokeh is an interactive data visualization library for Python, and other languages, that targets modern web browsers for presentation. p figure() p.circle(x, y) itemtext json.dumps(jsonitem(p, 'myplot')) The embeditem () function can then use this output on a web page: item JSON. Span1 = Span(location=t, dimension='height', line_color=c) The jsonitem () function accepts a Bokeh model (for example, a plot) and an optional ID of the target
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import numpy as npįrom bokeh.io import output_notebook, show In the following example, I use tags property to keep the Span objects to show/hide. Since Span doesn't have legend property, you need to create two dummy lines to show the legend. Clicking one color would hide all the lines of that color on all the plots. So, in this case, I would have a single legend that is shared in all 3 plots, and in this legend I would have 2 entries, one for red lines and one for green lines. For example x = np.arange(50)ĭata = np.random.rand(3, x.shape) *, , ] # Different scalesĪx = figure(plot_width=300, plot_height=300)īx = figure(x_range=ax.x_range, plot_width=300, plot_height=300)Ĭx = figure(x_range=ax.x_range, plot_width=300, plot_height=300)Īx.add_layout(Span(location=t, dimension='height', line_color=c))īx.add_layout(Span(location=t, dimension='height', line_color=c))Ĭx.add_layout(Span(location=t, dimension='height', line_color=c))īeside the fact that I would like to add the Span elements to be part of a single axis and make it shared, instead of adding them to each plot, I would like to create a legend for the Span objects and make them toggleable by color. I am just starting with bokeh, and I would like to represent 3 datasets on 3 different plots, in a grid, such that all of them have some toggleable vertical lines.
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