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Bokeh:

###Interactive Visualizations in Python

Bokeh: Getting started...

$ conda install bokeh

$ python

Python 3.5.3 |Continuum Analytics, Inc.| (default, Mar  6 2017, 12:15:08)
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from bokeh.sampledata import download
>>> download()
Using data directory: /Users/bcollins/.bokeh/data
Downloading: CGM.csv (1589982 bytes)
   1589982 [100.00%]k
Downloading: US_Counties.zip (3182088 bytes)
   3182088 [100.00%]
Unpacking: US_Counties.csv
Downloading: us_cities.json (713565 bytes)
    713565 [100.00%]
Downloading: unemployment09.csv (253301 bytes)
    253301 [100.00%]

####Bokeh: Vector Geometries - Points

from bokeh.plotting import figure, output_file, show

x = [1, 2, 3, 4, 5]
y = [6, 7, 2, 4, 5]

output_file("bokeh-example-points.html")

p = figure(title="simple point example",
           plot_height=400,
           plot_width=700,
           x_axis_label='x',
           y_axis_label='y')

p.circle(x, y, size=10)

show(p)

####Bokeh: Vector Geometries - Points

<iframe width="800px" height="450px" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="examples/bokeh-example-points.html">

####Bokeh: Vector Geometries - Lines

from bokeh.plotting import figure, output_file, show

x = [1, 2, 3, 4, 5, 1]
y = [6, 7, 2, 4, 5, 6]

output_file("bokeh-example-lines.html")

p = figure(title="simple line example",
           plot_height=400, plot_width=700,
           x_axis_label='x', y_axis_label='y')

p.line(x, y, legend="Temp.", line_width=2)

show(p)

####Bokeh: Vector Geometries - Lines

<iframe width="800px" height="450px" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="examples/bokeh-example-lines.html">

####Bokeh: Vector Geometries - Polygons from bokeh.plotting import figure, output_file, show

x = [1, 2, 3, 4, 5]
y = [6, 7, 10, 7, 5]

output_file("bokeh-example-polygon.html")

p = figure(title="simple line example",
           plot_height=400,
           plot_width=700,
           x_axis_label='x',
           y_axis_label='y')

p.patch(x, y, legend="Land Area",
        line_width=3, fill_color="#336699", fill_alpha=.6)

show(p)

####Bokeh: Vector Geometries - Polygons

<iframe width="800px" height="450px" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="examples/bokeh-example-polygon.html">

####Bokeh: Vecotr Geometries - Webgl from bokeh.plotting import figure, output_file, show from bokeh.palettes import Blues7

N = 400000
x_range = (int(-20e6), int(20e6))
y_range = (int(-20e6), int(20e6))

xs = np.random.uniform(x_range[0], x_range[1], N)
ys = np.random.uniform(y_range[0], y_range[1], N)

output_file("bokeh-example-points-webgl.html")

p = figure(title="simple point example",
           x_range=x_range,
           y_range=y_range,
           plot_height=400,
           plot_width=700,
           webgl=True)

p.circle(xs, ys, size=10)

show(p)

####Bokeh: A Grammar of Graphics

####Bokeh: Raster - Image RGBA

import numpy as np
from bokeh.plotting import figure, show, output_file

N = 20
img = np.empty((N, N), dtype=np.uint32)
view = img.view(dtype=np.uint8).reshape((N, N, 4))
for i in range(N):
    for j in range(N):
        view[i, j, 0] = int(i/N*255)
        view[i, j, 1] = 158
        view[i, j, 2] = int(j/N*255)
        view[i, j, 3] = 255

p = figure(x_range=(0,10), y_range=(0,10))
p.image_rgba(image=[img], x=0, y=0, dw=10, dh=10)

output_file("bokeh-example-image.html", title="image_rgba.py example")
show(p)

####Bokeh: Raster - Image RGBA

<iframe width="800px" height="450px" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="examples/bokeh-example-image.html">

####Bokeh: A Guide to Numpy