Python Data visualization using Bokeh - Example 001

# import modules
from bokeh.plotting import figure, output_notebook, show

# output to notebook
output_notebook()
  
# create figure
p = figure(plot_width = 600, plot_height = 400)

Loading BokehJS ...

# add a circle renderer with size, color and alpha
p.circle([1, 2, 3, 4, 5], 
         [4, 7, 1, 6, 3], 
         size = 10, color = "navy", alpha = 0.5)

GlyphRenderer(

id = '1038', …)

coordinates = None,

data_source = ColumnDataSource(id='1034', ...),

glyph = Circle(id='1035', ...),

group = None,

hover_glyph = None,

js_event_callbacks = {},

js_property_callbacks = {},

level = 'glyph',

muted = False,

muted_glyph = Circle(id='1037', ...),

name = None,

nonselection_glyph = Circle(id='1036', ...),

selection_glyph = 'auto',

subscribed_events = [],

syncable = True,

tags = [],

view = CDSView(id='1039', ...),

visible = True,

x_range_name = 'default',

y_range_name = 'default')

# show the results
show(p) 

# output to notebook
output_notebook()
  
# create figure
p = figure(plot_width = 600, plot_height = 400)

# add a circle renderer with size, color and alpha
p.square([1, 2, 3, 4, 5], 
         [4, 7, 1, 6, 3], 
         size = 10, color = "red", alpha = 0.9)
show(p)

Loading BokehJS ...