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I am new to bokeh and trying to figure out what columnDataSource does. It appears in many places but I am uncertain of its purpose and how it works. Can someone illuminate? Apologies if this is a silly question...
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With Bokeh's bokeh. plotting interface, you can add more glyphs to your plot: To add more line graphs to your plot, all you need to do is call the line() function multiple times. In this example, you also assign a different color to each of the lines by passing a different named color to each line's color argument.
Pandas-Bokeh provides a Bokeh plotting backend for Pandas, GeoPandas and Pyspark DataFrames, similar to the already existing Visualization feature of Pandas. Importing the library adds a complementary plotting method plot_bokeh() on DataFrames and Series.
Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming datasets. With Bokeh, you can create JavaScript-powered visualizations without writing any JavaScript yourself.
ColumnDataSource is the object where the data of a Bokeh graph is stored. You can choose not to use a ColumnDataSource and feed your graph directly with Python dictionaries, pandas dataframes, etc, but for certain features such as having a popup window showing data information when the user hovers the mouse on glyphs, you are forced to use a ColumnDataSource otherwise the popup window will not be able to get the data. Other uses would be when streaming data.
You can create a ColumnDataSource from dictionaries and pandas dataframes and then use the ColumnDataSource to create the glyphs.
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