Bokeh is open-source and you can use it to create plots that tell an interesting story. What I've tried before is the basemap module. Bokeh is an interactive, data visualization package for creating dynamic visualizations with Python. I haven't tried it yet but I guess you can use shape files to have more accurate maps if you want to. When using this command, Mapbox provides the map tiles to. P.patches(county_xs, county_ys, fill_color=county_colors, fill_alpha=0.7, pydeckchart to quickly create scatterplot charts on top of a map, with auto-centering and auto-zoom. P = figure(title="US Unemployment 2009", toolbar_location="left", The ray () method accepts the starting points x and y with a length (in screen units) and an angle. It renders segments between those points. The segment () method accepts the starting points x0 and y0 and end points x1 and y1. Output_file("choropleth.html", title="choropleth.py example") To draw multiple individual line segments use the segment () and ray () glyph methods. from bokeh.sampledata import us_states, us_counties, unemploymentĬounty_xs= for code in us_counties if us_counties not in ]Ĭounty_ys= for code in us_counties if us_counties not in ]Ĭolors = Plotting points like these are called "Scatter Markers" in Bokeh. P.circle(x, y, size=8, color='navy', alpha=1) # Now group these values together into a lists of x (longitude) and y (latitude) P.patches(state_xs, state_ys, fill_alpha=0.0, Toolbar_location="left", plot_width=1100, plot_height=700) to plt.plot specify a wide range of properties of the lines and markers. P = figure(title="Plotting Points Example: The 5 Largest Cities in Texas", Matplotlib is a multiplatform data visualization library built on NumPy arrays. Initialize the plot (p) and give it a title In 1: p figure(title'My first interactive plot') Let's see what it is p Next we need to create lists of x and y coordinates that we want to plot. # separate latitude and longitude points for the borders First we need to initialize our plot by calling the figure object. I recognize that this thread is old, but I haven't found a super clear answer anywhere else, so hopefully this will help.
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