Example showing how to use matplotlib from a Zeppelin notebook

matplotlib-zeppelin

%pyspark

import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt
import StringIO

def show(p):
    img = StringIO.StringIO()
    p.savefig(img, format='svg')
    img.seek(0)
    print "%html <div style='width:600px'>" + img.buf + "</div>"

# Example data
people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
y_pos = np.arange(len(people))
performance = 3 + 10 * np.random.rand(len(people))
error = np.random.rand(len(people))

plt.barh(y_pos, performance, xerr=error, align='center', alpha=0.4)
plt.yticks(y_pos, people)
plt.xlabel('Performance')
plt.title('How fast do you want to go today?')

show(plt)

With the example above I had to add:

plt.switch_backend('agg')

Otherwise I get:

RuntimeError: Invalid DISPLAY variable

Cheers,
Luca

This method seems to lag up the Zeppelin notebook, any idea why this is?

Thanks @H4ml3t

Save my time, @H4ml3t!

The size of your sample @deus42

Thank you @meniluca

Hello,
I have a zeppelin running on Ubuntu. Then access the zeppelin from a Windows machine, via Chrome.

There is a XManager running on the Windows machine, which will display Ubuntu apps like gedit, firefox by setup:
export DISPLAY=192.168.1.42:0.0

After trying all the solutions above, always hit error:
The XManager seems not connected.

TclError: no display name and no $DISPLAY environment variable

Appreciated if any advice.

Smashing, thank you very much!

awesome, saved a lot of time! Thanks!

Try

z.showplot(plt)

or

z.showmatplot(plt)