bokeh

问题 Let's say I'd like to underline a word in one of my options in a RadioButtonGroup, is it possible? I tried to use the Div class as an input, but it didn't work. Thanks 回答1: This PR "Add support for specifying CSS classes on all LayoutDOM" will be going into Bokeh 0.12.4 in Dec 2017 and provided a mechanism to add arbitrary CSS classes to any Bokeh LayoutDOM model (e.g. widgets) so that they can be more easily styled. It will be available like: from bokeh.models import Div div = Div(text="some

问题 How do you add the information from a dataframe when creating a pie chart using bokeh? I am using code from http://docs.bokeh.org/en/latest/docs/gallery/pie_chart.html Basically, I want the values of each country in the wedge. 回答1: You're able to add text to a plot with a LableSet. from math import pi import pandas as pd from bokeh.io import output_file, show from bokeh.palettes import Category20c from bokeh.plotting import figure from bokeh.transform import cumsum from bokeh.models import

问题 I'm working with four sets of data, each of them have several number of time series. i'm using bokeh for plotting all of them together, the result looks like this: multiline graph bokeh with widget from bokeh.plotting import figure, output_file, show from bokeh.palettes import RdYlGn4 from bokeh.models import CustomJS, ColumnDataSource, MultiSelect from bokeh.layouts import row, widgetbox output_file("graph.html") p = figure(plot_width=1000, plot_height=400, x_axis_type="datetime", title=

问题 I have the following small example script making use of numpy and bokeh: import numpy as np import bokeh.plotting as bp from bokeh.objects import HoverTool bp.output_file('test.html') fig = bp.figure(tools="reset,hover") x = np.linspace(0,2*np.pi) y1 = np.sin(x) y2 = np.cos(x) s1 = fig.scatter(x=x,y=y1,color='#0000ff',size=10,legend='sine') s1.select(dict(type=HoverTool)).tooltips = {"x":"$x", "y":"$y"} s2 = fig.scatter(x=x,y=y2,color='#ff0000',size=10,legend='cosine') s2.select(dict(type

问题 I'm trying to add legend to a figure, which contains two lines created by multi_line method. Example: p = figure(plot_width=300, plot_height=300) p.multi_line(xs=[[4, 2, 5], [1, 3, 4]], ys=[[6, 5, 2], [6, 5, 7]], color=['blue','yellow'], legend="first") In this case the legend is only for the first line. When the legend is defined as a list there is an error: p.multi_line(xs=[[4, 2, 5], [1, 3, 4]], ys=[[6, 5, 2], [6, 5, 7]], color=['blue','yellow'], legend=["first","second"]) Is it possible

问题 I create a figure in a function, e.g. import numpy from bokeh.plotting import figure, show, output_notebook output_notebook() def make_fig(): rows = cols = 16 img = numpy.ones((rows, cols), dtype=numpy.uint32) view = img.view(dtype=numpy.uint8).reshape((rows, cols, 4)) view[:, :, 0] = numpy.arange(256) view[:, :, 1] = 265 - numpy.arange(256) fig = figure(x_range=[0, c], y_range=[0, rows]) fig.image_rgba(image=[img], x=[0], y=[0], dw=[cols], dh=[rows]) return fig Later I want to zoom in on the

问题 I create a figure in a function, e.g. import numpy from bokeh.plotting import figure, show, output_notebook output_notebook() def make_fig(): rows = cols = 16 img = numpy.ones((rows, cols), dtype=numpy.uint32) view = img.view(dtype=numpy.uint8).reshape((rows, cols, 4)) view[:, :, 0] = numpy.arange(256) view[:, :, 1] = 265 - numpy.arange(256) fig = figure(x_range=[0, c], y_range=[0, rows]) fig.image_rgba(image=[img], x=[0], y=[0], dw=[cols], dh=[rows]) return fig Later I want to zoom in on the

问题 I understand how you specify specific ticks to show in Bokeh, but my question is if there is a way to assign a specific label to show versus the position. So for example plot.xaxis[0].ticker=FixedTicker(ticks=[0,1]) will only show the x-axis labels at 0 and 1, but what if instead of showing 0 and 1 I wanted to show Apple and Orange. Something like plot.xaxis[0].ticker=FixedTicker(ticks=[0,1], labels=['Apple', 'Orange']) A histogram won't work for the data I am plotting. Is there anyway to use

问题 I want to make a interactive bokeh plot using slider widget. I have a dataframe with simple values and want to filter out some values using the slider widget. below is my test code.. df = pd.DataFrame({'x':[11,12,13,14,15],'y':[22,23,24,25,26],'threshold':[1,2,3,4,5]}) source = ColumnDataSource(data=df) plot = Figure(plot_width=400, plot_height=400) plot.circle('x', 'y', source=source) slider = Slider(start=1, end=5, value=1, step=1, title="threshold") callback = CustomJS( args=dict(source

问题 I am trying to use a slider to update my Bokeh Plot. I am finding it difficult to achieve it using pandas dataframe(did not find any examples so far). The other way is to use the "columndatasource" (found some examples over forums) but still not able to achieve the functionality. So I have two columns, X axis is date and the Y axis is Volume. I want to change my Y values based on slider input. I am able to see the plot but the slider functionality is not working Any help will be very much