Hi Andrey,
These two lines:
os.system("export DISPLAY=:0")
plt.switch_backend('Agg')
should not be necessary since you have already set the backend manually to
AGG.
More importantly, how large is your dataset? While SVG looks nice, it does
not scale well with large datasets. I would suggest you try using PNG
images instead. Some code for doing this can be found in this PR:
https://github.com/apache/zeppelin/pull/1422. There is work ongoing to
improve matplotlib integration with zeppelin even further than this, but
this solution should be sufficient for you right now. If you are still
having problems, let us know.
Thanks,
Alex
On Tue, Sep 27, 2016 at 3:27 AM, Андрей Ривкин <amriv...@gmail.com> wrote:
> Hi Alex,
>
> here is exported notebook and sample data.
>
> Notebook is quite havy (19MB) where can I upload it?
>
> Here is some code sample:
>
> %pyspark
>
> import matplotlib
> import os
>
> from pylab import figure, show, rand
> from matplotlib.patches import Ellipse
> import matplotlib.pyplot as plt
> # helper function to display in Zeppelin
>
> matplotlib.use('Agg')
> os.system("export DISPLAY=:0")
> plt.switch_backend('Agg')
>
> 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>"
>
>
>
>
>
> %pyspark
> data_1 = data.ix[data['y']==1]
> data_0 = data.ix[data['y']==0]
> x_1 = data_1['balance'].values
> y_1 = data_1['age'].values
> x_0 = data_0['balance'].values
> y_0 = data_0['age'].values
> colors = ['red','green']
> plt.figure(figsize=(10, 6))
> plt.xlabel('Balance')
> plt.ylabel('Age')
> plt.title('')
> plt.scatter(x_0, y_0, alpha=0.5, color='blue')
> plt.scatter(x_1, y_1, alpha=0.5, color='red')#matplotlib.colors
> .ListedColormap(colors)
> plt.title('Destributions of balance by age and target value')
> show(plt)
> plt.close()
>
> Regards,
> Andrey
>
> 2016-09-20 19:20 GMT+03:00 Goodman, Alexander (398K) <
> alexander.good...@jpl.nasa.gov>:
>
>> Hi Andrey,
>>
>> Would you be able to post the code you were using so we can try to
>> reproduce your problem including how you are generating the images inline
>> (eg, is your chosen image format png or svg?).
>>
>> Thanks,
>> Alex
>>
>> On Tue, Sep 20, 2016 at 9:12 AM, Андрей Ривкин <amriv...@gmail.com>
>> wrote:
>>
>>> Hi,
>>>
>>> We are using Zeppelin 0.6.1 with Spark 1.6.2.
>>>
>>> We have very simple demo and small file. If we want just to calculate
>>> some - it's ok.
>>> But when we try to visualize using matplotlib Zepplin hangs (even scroll
>>> bar) and then disconnects.
>>>
>>> We are using Chrome.
>>>
>>> In logs just this:
>>>
>>> INFO [2016-09-20 18:44:22,574] ({pool-1-thread-10}
>>> Paragraph.java[jobRun]:252) - run paragraph 20160920-143431_1028264283
>>> using sql org.apache.zeppelin.interpreter.LazyOpenInterpreter@49b54b66
>>> INFO [2016-09-20 18:44:25,114] ({pool-1-thread-10}
>>> NotebookServer.java[afterStatusChange]:1150) - Job
>>> 20160920-143431_1028264283 is finished
>>> INFO [2016-09-20 18:44:25,142] ({pool-1-thread-10}
>>> SchedulerFactory.java[jobFinished]:137) - Job
>>> paragraph_1474371271306_-871438747 finished by scheduler
>>> org.apache.zeppelin.interpreter.remote.RemoteInterpretershar
>>> ed_session476562431
>>> INFO [2016-09-20 18:47:19,430] ({qtp88558700-14}
>>> NotebookServer.java[onClose]:227) - Closed connection to
>>> 192.168.110.249 : 53565. (1001) null
>>>
>>> Always null and 1001 in the end.
>>>
>>> In Firefox it's sometimes ok. But if there are more then 3 plots it will
>>> hang too.
>>>
>>> How could we debug this?
>>>
>>> Regards,
>>> Andrey
>>>
>>>
>>
>>
>> --
>> Alex Goodman
>> Data Scientist I
>> Science Data Modeling and Computing (398K)
>> Jet Propulsion Laboratory
>> California Institute of Technology
>> Tel: +1-818-354-6012
>>
>
>
--
Alex Goodman
Data Scientist I
Science Data Modeling and Computing (398K)
Jet Propulsion Laboratory
California Institute of Technology
Tel: +1-818-354-6012
