bokeh

问题 How can I change the color of individual nodes in the following example? %pylab inline import pandas as pd import networkx as nx import holoviews as hv hv.extension('bokeh') G = nx.Graph() ndxs = [1,2,3,4] G.add_nodes_from(ndxs) G.add_weighted_edges_from([(1,2,0), (1,3,1), (1,4,-1), (2,4,1), (2,3,-1), (3,4,10)]) hv.extension('bokeh') %opts Graph [width=400 height=400] padding = dict(x=(-1.1, 1.1), y=(-1.1, 1.1)) hv.Graph.from_networkx(G, nx.layout.spring_layout).redim.range(**padding) 回答1:

问题 Below is the code for a small working example of a Bokeh dashboard. When you make a selection in the first dropdown menu, the second one is updated dynamically and the chart is updated with a new source. This works for options A1/A2 because the data arrays are the same length. Once you select option B1 in the first dropdown, the second dropdown changes to B2. But the source update doesn't happen because you cant get the Yselector.value . How can you retrieve the Yselector.value without using

问题 I am plotting some data on x-axis and y-axis which gives peaks. I want to highlight certain areas of the peaks in multiple colors. I was able to get the plot but have no clue on how to add overlays to the plot https://jascoinc.com/wp-content/uploads/2013/12/UV-fraction-collection.png 回答1: You can highlight an area by plotting another glyph over the line such as a vbar, but other glyphs like rectangles also work. from bokeh.plotting import figure, show p = figure(plot_width=400, plot_height

问题 Please have a look at the page: https://docs.bokeh.org/en/latest/docs/reference/models/widgets.tables.html#bokeh.models.widgets.tables.HTMLTemplateFormatter I have been trying to use that formatter for a datatable of mine, but am having a problem : the location of the table file is appended before the actual link. How create a url link with the formatter that correctly redirect to the target page? EDIT: Here is the code I am using: (this is the bokeh package from python): from bokeh.io import

问题 I'm lost as to how to set up a Column Data Source so that I can select points from one graph and have the corresponding points highlighted in another graph. I am trying to learn more about how this works. The sample code I am using is the example called Linked Brushing. I'd like to see if I can get the same effect with my own code, below. That web page explanation also refers to Linked Selection with Filtered Data but I don't understand what the code filters=[BooleanFilter([True if y > 250 or

问题 I have a data set with 3 of the columns having categorical values. I want to create 3 drop downs in Bokeh or HoloViews in which the first drop down selection determines the values of the list in the other 2 drop downs. Can anyone point me to any of the tutorials or blog or docs that show how to this. I don't seem to fine any.​ I appreciate your time. Thanks! 回答1: If you are working in a Jupyter notebook, you can use paramnb to do this, taking advantage of the way a notebook separates code

问题 Am new to Python and Bokeh. Trying to apply a simple theme to a simple line graph using a separate yaml file. Unsure as to how to do this. If this is my cell in my Juypter notebook: import pandas as pd from bokeh.plotting import show, figure, output_notebook from bokeh.palettes import Spectral from bokeh.themes import Theme from bokeh.document import Document output_notebook() x_f = [1.5, 2, 9] y_f = [3, 3, 3.1] p = figure(plot_width=400, plot_height=400) p.line(x_f, y_f, line_width=3, color

问题 I am trying to annotate a network graph which comes from NetworkX and which is visualised in Bokeh. I was able to successfully add the labels to the ColumnDataSource, and have them appear on the figure, but the coordinates appear to be wrong as the labels are not lined up with the nodes. Any help would be greatly appreciated. from bokeh.io import show from bokeh.plotting import figure from bokeh.models.graphs import from_networkx from bokeh.models import ColumnDataSource, LabelSet def

问题 A Bokeh object is a figure that shows 3 indipendent lines. Data are streamed. An AjaxDataSource call updates the data every 5 seconds reading the last ones from a database. This is the stripped down class: class Graph: def __init__(self): data_source = AjaxDataSource(data=dict(date_time=[], value_1=[], value_2=[], value_3=[]), data_url="/data", polling_interval=5000) line1 = self.figure.line(x="date_time", y="value_1", source=data_source) line2 = self.figure.line(x="date_time", y="value_2",

问题 I am using Bokeh plots in a couple of my Django views. The plots are rendering the data correctly, but they are weirdly skewed when rendered on my page. The html looks like this: <div class="container"> <h4 class="text-center"> Resource Usage </h4> {% for label,div in divs.items %} <h3 class="text-center"><u> Satellite {{ label }}</u></h3> </br> <div class="container"> {{ div | safe }} </div> {% endfor %} </div> </div> {{ script | safe }} Where the div code looks like this: '<div class=