rbokeh | 易学教程

Get Warning Message Using rbokeh in R Notebook

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问题 Running Ubuntu 17.10, and running R Notebook on RStudio through Anaconda. When I try to run the simple example from the rbokeh website in a R Notebook : p <- figure() %>% ly_points(Sepal.Length, Sepal.Width, data = iris, color = Species, glyph = Species, hover = list(Sepal.Length, Sepal.Width)) I get the following warning message: In structure(x, class = unique(c("AsIs", oldClass(x)))) : Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes. Consider 'structure(list(), *)

How to color rows and/or cells in a Bokeh DataTable?

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问题 Starting from Initial table , I need to highlight(color) elements as shown in either one of the table examples Ex. 1, Ex. 2, Ex. 3 . Any idea? 回答1: In case someone else might bump into the same need, here are some variants that I came up with. (Thanks to Bokeh team for hints!) Variant 1: Highlight the cell where column A > column B Code: from bokeh.io import output_notebook, show output_notebook() from random import randint from bokeh.io import output_file, show from bokeh.layouts import

Embedding plot to web page using rbokeh

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问题 I have created a plot in R using rbokeh and I want to convert it to HTML/Javascript in order to embed it inside a web page. I'm currently able to achieve this with mpld3 on Python (and I know that bokeh on python does it too) but I want to be able to do this with rbokeh in R. So basically I'm looking for something similar to Python's mpld3.fig_to_html(), e.g: fig, ax = plt.subplots() ax.p1 = plt.bar(...) html = mpld3.fig_to_html(fig) # <- converts the plot to html/javascript! print html #

How to color rows and/or cells in a Bokeh DataTable?

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Starting from Initial table , I need to highlight(color) elements as shown in either one of the table examples Ex. 1, Ex. 2, Ex. 3 . Any idea? In case someone else might bump into the same need, here are some variants that I came up with. (Thanks to Bokeh team for hints!) Variant 1: Highlight the cell where column A > column B Code: from bokeh.io import output_notebook, show output_notebook() from random import randint from bokeh.io import output_file, show from bokeh.layouts import widgetbox from bokeh.models import ColumnDataSource from bokeh.models.widgets import DataTable, DateFormatter,