bokeh.plotting.figure.circle_x() Function in Python

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The bokeh.plotting.figure.circle_x() function in Python is a part of the Bokeh library, which is used for creating interactive visualizations in web browsers. This function is used to create a glyph that represents a circle with a cross inside it.

The basic syntax for using circle_x() is as follows:

from bokeh.plotting import figure, show

p = figure(plot_width=400, plot_height=400)
p.circle_x(x, y, size=10, color="red", line_width=2)

show(p)

Here, x and y are arrays of the same length representing the coordinates of the points where the circles are to be drawn. The size parameter specifies the size of the circles, while the color parameter specifies the color of the circles and cross. The line_width parameter specifies the width of the line used to draw the cross.

You can also use circle_x() with other Bokeh functions, such as ColumnDataSource and HoverTool, to create more complex interactive visualizations.

Parameters:

The circle_x() function in Bokeh has several parameters that can be used to customize the appearance of the glyphs. Some of the important parameters are:

  • x: The x-coordinates of the center of the circle glyphs. It can be a single value or an array of values.
  • y: The y-coordinates of the center of the circle glyphs. It can be a single value or an array of values.
  • size (optional): The size of the circle glyphs. The default value is 4.
  • color (optional): The color of the circle glyphs and cross. The default value is “black”.
  • alpha (optional): The transparency of the circle glyphs and cross. The default value is 1.0 (fully opaque).
  • line_width (optional): The width of the line used to draw the cross inside the circle glyphs. The default value is 1.
  • line_color (optional): The color of the line used to draw the cross inside the circle glyphs. The default value is “black”.
  • line_alpha (optional): The transparency of the line used to draw the cross inside the circle glyphs. The default value is 1.0 (fully opaque).
  • legend_label (optional): The label for the glyph that will be displayed in the legend.
  • source (optional): The data source for the glyphs, if using a ColumnDataSource.
  • view (optional): A view that can be used to filter the data that is displayed.
  • visible (optional): A Boolean value indicating whether the glyph is visible or not. The default value is True.

Return:

The circle_x() function in Bokeh does not return any value. Instead, it adds glyphs to the current figure. Once you have added all the glyphs you need to the figure, you can display it using the show() function. The show() function takes the figure object as its parameter and displays it in a web browser.

For example:

from bokeh.plotting import figure, show

p = figure(plot_width=400, plot_height=400)
p.circle_x([1, 2, 3], [4, 5, 6], size=10, color="red", line_width=2)

show(p)

This code creates a figure object, adds three circle_x glyphs to it, and displays it in a web browser. The circle_x() function does not return any value, but instead modifies the figure object directly.

Conclusion:

In conclusion, the circle_x() function in the Bokeh library for Python is used to create glyphs that represent circles with a cross inside them. This function takes several parameters, such as the x and y coordinates, size, color, and line width, which can be used to customize the appearance of the glyphs. The circle_x() function does not return any value, but instead modifies the figure object directly. Once all the glyphs have been added to the figure, it can be displayed in a web browser using the show() function. The circle_x() function is useful for creating interactive visualizations that can be used to explore data and gain insights.