#Bokeh film ploting code#

We'll be first loading US states boundary data which is available in bokeh as a part of _states.

#Bokeh film ploting code#

It'll color code states of the US according to the count of Starbucks stores in that state. The first choropleth map that we'll plot using bokeh is Starbucks store count per US states. It does not need any tile providers or latitude/longitude information. The process of plotting choropleth maps using bokeh is different from previous chart types. The third chart type that we'll introduce using bokeh is a choropleth map. United States Starbucks Store Count Per State Choropleth Map ¶ We have also used tooltip which highlights the source country, the destination country, and a number of flights to that country. We have used line and circle glyphs of bokeh to plot a line between the source and destination of flight and highlight source and destinations. We have used STAMEN_TONER and ESRI_IMAGERY tiles for this chart. We'll then convert source and destination latitude/longitude data to web Mercator projection and add it to the dataframe for later use. We'll then aggregate data to keep all combinations of flights from Brazil to other countries to get a count of flights from brazil to all other countries. We'll first filter the brazil flight dataset to keep only rows where the source country is brazil. The connection map that we'll plot using the Brazil flights dataset will show flights from brazil to all other countries along with their count when hovered over the endpoint of the edge. We'll follow the same steps as mentioned earlier but will use the Brazil flight dataset this time for explanation purposes.

The second type of chart that we'll be plotting using bokeh is a connection map.

įlights From Brazil To Other Countries Connection Map ¶