Python Tutorial: Additional glyphs

Want to learn more? Take the full course at https://learn.datacamp.com/courses/interactive-data-visualization-with-bokeh at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work. --- In addition to marker-like glyphs such as circles or squares, Bokeh can draw many other kinds of visual shapes. Let's take a look at some of them. Lines are a graphical component that is important in many different situations. With Bokeh, lines are created using the .line method, in exactly the same way that we saw in the last chapter. Now, instead of drawing circles or other markers at the x and y coordinates, a line is drawn through the coordinates. If you'd like to have markers and lines together, Bokeh makes it simple to combine multiple glyphs on one plot. Simply call more than one glyph method! All the glyphs that you specify will be drawn in the order of the glyph methods that you call. In the example here we see that .line has been called first, and next .circle has been called with fill_color="white". Accordingly, we see a line, with filled circles draw on top. In this case we use the same data values for both glyphs, but this is not required. Any combination of glyphs using any combination of data as inputs will work. Another useful glyph is "Patches". Patches can be used to draw multiple polygonal shapes at once on a single plot. This might me useful if you want to draw geographic regions such as countries or states. The input data for patches takes a slightly different form, which is worth looking into. Just like .circle can draw multiple circles by being provided a list of coordinates, .patches can draw multiple polygons by being given a list of patch coordinates. But each patch itself needs multiple coordinates. For this reason, the coordinate data for .patches is a list of lists. One list of lists is for the x-coordinates, the other the y-coordinates. Each sublist contains the x or y coordinates for one patch, and