from bokeh.layouts import layout
from bokeh.models import ColumnDataSource, Div, HoverTool, Paragraph
from bokeh.plotting import figure, show
from bokeh.sampledata.glucose import data
from bokeh.sampledata.penguins import data as penguins
def text():
return Paragraph(text="""
Bacon ipsum dolor amet hamburger brisket prosciutto, pork ball tip andouille
sausage landjaeger filet mignon ribeye ground round. Jerky fatback cupim
landjaeger meatball pork loin corned beef, frankfurter short ribs short loin
bresaola capicola chuck kevin. Andouille biltong turkey, tail t-bone ribeye
short loin tongue prosciutto kielbasa short ribs boudin. Swine beef ribs
tri-tip filet mignon bresaola boudin beef meatball venison leberkas fatback
strip steak landjaeger drumstick prosciutto.
Bacon ipsum dolor amet hamburger brisket prosciutto, pork ball tip andouille
sausage landjaeger filet mignon ribeye ground round. Jerky fatback cupim
landjaeger meatball pork loin corned beef, frankfurter short ribs short loin
bresaola capicola chuck kevin. Andouille biltong turkey, tail t-bone ribeye
short loin tongue prosciutto kielbasa short ribs boudin. Swine beef ribs
tri-tip filet mignon bresaola boudin beef meatball venison leberkas fatback
strip steak landjaeger drumstick prosciutto.
""")
def scatter():
colormap = {'Adelie': 'red', 'Chinstrap': 'green', 'Gentoo': 'blue'}
penguins["colors"] = penguins["species"].map(colormap)
source = ColumnDataSource(penguins)
s = figure(title="Penguin size")
s.xaxis.axis_label = "Flipper Length (mm)"
s.yaxis.axis_label = "Body Mass (g)"
s.scatter("flipper_length_mm", "body_mass_g", color="colors", source=source,
fill_alpha=0.2, size=10, legend_group="species")
# Let's move the legend off-canvas!
legend = s.legend[0]
legend.border_line_color = None
legend.orientation = 'horizontal'
legend.location = 'center_left'
s.above.append(legend)
return s
def hover_plot():
x = data.loc['2010-10-06'].index.to_series()
y = data.loc['2010-10-06']['glucose']
p = figure(width=800, height=400, x_axis_type="datetime",
tools="", toolbar_location=None, title='Hover over points')
p.line(x, y, line_dash="4 4", line_width=1, color='gray')
cr = p.scatter(x, y, size=20, fill_color="grey", alpha=0.1, line_color=None,
hover_fill_color="firebrick", hover_alpha=0.5, hover_line_color=None)
p.add_tools(HoverTool(tooltips=None, renderers=[cr], mode='hline'))
return p
def intro():
return Div(text="""
<h3>Welcome to Layout!</h3>
<p>Hopefully you'll see from the code, that the layout tries to get out of your way
and do the right thing. Of course, it might not always, so please report bugs as you
find them and attach them to the epic we're creating <a href="">here</a>.</p>
<p>This is an example of <code>scale_width</code> mode (happy to continue the conversations
about what to name the modes). In <code>scale_width</code> everything responds to the width
that's available to it. Plots alter their height to maintain their aspect ratio, and widgets
are allowed to grow as tall as they need to accommodate themselves. Often times widgets
stay the same height, but text is a good example of a widget that doesn't.</p>
<h4>I want to stress that this was all written in python. There is no templating or
use of <code>bokeh.embed</code>.</h4>
""")
show(
layout([
[intro()],
[text(), scatter()],
[text()],
[hover_plot(), text()],
], sizing_mode='scale_width'),
)
