Mailman 3 August 2016 - Matplotlib-users

How can I speed up a tricontourf call ?
by Francis Chabouis Sept. 15, 2016

Sept. 15, 2016

Hello, I'm working on this travel times project : https://ubikiwi.com/ouhabiter?locations=[[48.85522811385678,2.3321914672851… and the contouring is done thanks to MPL tricontourf function (thanks!). As you can see it works pretty well and is fast enough. As I'm trying to expand the geographical coverage of the application (the whole country) I'm having performance issues with the contouring: - if I load the triangulation in memory at startup, it takes a huge amount of RAM. But the real problem is that even a very small contour in this huge triangulation takes a very long time to produce. For example with a small triangulation, a 20 minutes walk isoline is instant. The same contour on a country-wide triangulation takes 6sec. (It is not that long, but for a web application it is). - If on the other hand I compute a triangulation for each request, the contouring is fast but the triangulation creation is slow. Would someone have an optimisation idea ? Is it somehow possible to speed up the triangulation ? Any possible alternative ? Thanks a lot, Francis

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Re: [Matplotlib-users] [Matplotlib-devel] mpl governance
by Jason Grout Aug. 31, 2016

Aug. 31, 2016

FYI, here is the (beginning of the) public discussion of the Jupyter governance model we were talking about: https://github.com/jupyter/governance/issues/19 Jason On Mon, Aug 29, 2016 at 9:23 PM Matthias Bussonnier < bussonniermatthias(a)gmail.com> wrote: > Hi all, > > To extend on what Jason said, the discussion have started privately on > the Jupyter Steering council mailing list, we'll move it to a public > space but we want to shorten what have been posted and make sure it's > suitable for public consumption. > > -- > M > > On Mon, Aug 29, 2016 at 6:00 PM, Jason Grout <jason(a)jasongrout.org> wrote: > > We're about to have some discussions in Jupyter about our governance > model, > > and probably tweak it now that we have more experience with it. While > that > > experience may not transfer to matplotlib's situation, it still might be > > good to see that discussion before making huge changes. > > > > Thanks, > > > > Jason > > > > > > On Mon, Aug 29, 2016 at 11:40 AM Paul Hobson <pmhobson(a)gmail.com> wrote: > >> > >> I think this is a good idea. > >> > >> On Sat, Aug 27, 2016 at 11:09 AM, Thomas Caswell <tcaswell(a)gmail.com> > >> wrote: > >>> > >>> Folks, > >>> > >>> Following up on last month's email, are there any comments, for or > >>> against, adopting the Jupyter governance model and the mechanism of > >>> ratifying the adoption? > >>> > >>> Tom > >>> > >>> > >>> On Sun, Jul 31, 2016 at 6:32 PM Thomas Caswell <tcaswell(a)gmail.com> > >>> wrote: > >>>> > >>>> Folks, > >>>> > >>>> During the sprints at SciPy Mike Droettboom and I started to adapt the > >>>> Jupyter governance documents for matplotlib. > >>>> > >>>> We are doing this in the open, and a pull request of the changes is > at: > >>>> > >>>> https://github.com/matplotlib/governance/pull/1 > >>>> > >>>> To be clear, this is a work in progress and is not final or in force. > >>>> > >>>> We propose the mechanism for ratifying the these documents is to, > after > >>>> input from the community, have the current "matplotlib Executive > Committee" > >>>> (the signers of the FSA with NUMFocus) vote. > >>>> > >>>> Tom > >>>> > >>>> ps A very similar email was sent to the matplotlib-devel list on July > 17 > >>> > >>> > >>> _______________________________________________ > >>> Matplotlib-users mailing list > >>> Matplotlib-users(a)python.org > >>> https://mail.python.org/mailman/listinfo/matplotlib-users > >>> > >> > >> _______________________________________________ > >> Matplotlib-devel mailing list > >> Matplotlib-devel(a)python.org > >> https://mail.python.org/mailman/listinfo/matplotlib-devel > > > > > > _______________________________________________ > > Matplotlib-devel mailing list > > Matplotlib-devel(a)python.org > > https://mail.python.org/mailman/listinfo/matplotlib-devel > > >

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Fwd: Problem plotting Hatches
by Luca Grigoletto Aug. 31, 2016

Aug. 31, 2016

Hello, I am plotting grib data on maps with matplotlib. I want to plot some types of hatches using a discrete values variable where the values are chosen arbitrarily. For example the 'o' hatch refers to value '6', '\' hatch to '4' and '+' to '2'. Values in matrix are only 2,4,6 and a background value (example 0). I obtain what I want easly with contourf, but as you can see in the attached image there are unwanted and ugly border plotted around some hatches (those with the higher values, contoured by hatch of previous lower value, except the first one wich is the '+' hatch). I tried every combination of functions possible or modfication of values in the data matrix to avoid those contours, but I did not find any solution. The fact is that it seems to be dependent on the type of grib/matrix I use, since with another set of grib of another model this problem does not show. So any of you have encountered this problem and resolved it in a easy and computationally low cost way? By the way, the same problem is present in classic contourf with shaded colors: with a discrete matrix, except the first one, each color in the colorbar is contoured with a contour of the previous color in the chosen colormap order. But I could overcome this problem using pcolormesh function even if it is not the best solution. Unfortunately pcolormesh does not plot hatches so the first problem described before actually is unresolved.I am using python 3.5.1 with matplotlib 1.5.1 Waiting for any feedabck Best regards Cristian Rendina

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mpl governance
by Thomas Caswell Aug. 30, 2016

Aug. 30, 2016

Folks, During the sprints at SciPy Mike Droettboom and I started to adapt the Jupyter governance documents for matplotlib. We are doing this in the open, and a pull request of the changes is at: https://github.com/matplotlib/governance/pull/1 To be clear, this is a work in progress and is not final or in force. We propose the mechanism for ratifying the these documents is to, after input from the community, have the current "matplotlib Executive Committee" (the signers of the FSA with NUMFocus) vote. Tom ps A very similar email was sent to the matplotlib-devel list on July 17

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Re: [Matplotlib-users] Fw: Matplotlib Figure margin transparancy
by Jens Nielsen Aug. 30, 2016

Aug. 30, 2016

The relevant parameters are figure.facecolor and savefigure.facecolor but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2 best Jens On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph(a)yahoo.com> wrote: > Thank you Benjamin & Jens, > I have registered in > python.org now. Regarding the issue I had already checked the > matplotlibrc parameters. I tried increasing margin option but resulting in > only plot getting shrunk. There is no apparent effect for facecolor > parameter. May I know which parameter sets the margin as non-transparent? > With best regards, > Sudheer > > > > > On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root(a)gmail.com> > wrote: > > The other reason why this message never got posted is because this message > was sent to the now defunct mailing list hosted by sourceforge. The mailing > list moved about a year ago (I think) to python.org. You will have to > subscribe in order to post unmoderated. > > https://mail.python.org/mailman/listinfo/matplotlib-users > > Ben Root > > On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen(a)gmail.com> > wrote: > > At least for me gmail put your mail in the spam folder. > > Anyway the inline backend is actually from in IPython/Jupyter and not in > matplotlib. I think they have changed the default a couple of times and had > the transparent as a default earlier but changed it. Looking at the current > master it looks like they are respecting the matplotlib default colors > from the matplotlib rc params. Can you please check which version on > IPython and Jupyter you are running. > > You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ > users/customizing.html# customizing-matplotlib > <http://matplotlib.org/users/customizing.html#customizing-matplotlib> but > the default ones should be white. > > best > Jens > > > On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph(a)yahoo.com> > wrote: > > Hi, > I have send below query to matplotlib user group recently but did not get > posted so far. Can you please tell me is there is any thin wrong with the > message? > With best regards, > Sudheer > > > > > Dear Expert, > > Recently after up-gradation of matplotlib and ubuntu > 16.04 I am > > getting transparent figure axis when using the "linux color scheme" > > option in ipython qtconsole. May I know if there is a way to fix this > issue?. I > > wanted to keep black screen as it reduces eye strain. > > > > ipython qtconsole --matplotlib inline > > > > If I save the image i am able to get axis properly but to see on screen > as the > > axis is not plotted with white background the black axis line and labels > are not > > visible. Earlier I used to get figures as attached in second figure. > > Earlier Satus which I am looking for below link > > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk > > Present status without boarder below link > > > > > > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg > > > > Kindly suggest a solution > > with best regards, > > Sudheer > > > > ------------------------------ ------------------------------ > ------------------ > What NetFlow Analyzer can do for you? Monitors network bandwidth and > traffic > patterns at an interface-level. Reveals which users, apps, and protocols > are > consuming the most bandwidth. Provides multi-vendor support for NetFlow, > J-Flow, sFlow and other flows. Make informed decisions using capacity > planning reports. http://sdm.link/zohodev2dev > ______________________________ _________________ > Matplotlib-users mailing list > > > Matplotlib-users@lists. sourceforge.net > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users > > > ------------------------------ ------------------------------ > ------------------ > What NetFlow Analyzer can do for you? Monitors network bandwidth and > traffic > patterns at an interface-level. Reveals which users, apps, and protocols > are > consuming the most bandwidth. Provides multi-vendor support for NetFlow, > J-Flow, sFlow and other flows. Make informed decisions using capacity > planning reports. http://sdm.link/zohodev2dev > ______________________________ _________________ > Matplotlib-users mailing list > Matplotlib-users@lists. sourceforge.net > <Matplotlib-users(a)lists.sourceforge.net> > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users > <https://lists.sourceforge.net/lists/listinfo/matplotlib-users> > >

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detect axes belonging to a colorbar
by aeuii＠posteo.de Aug. 19, 2016

Aug. 19, 2016

Hi, I would like to iterate over fig.axes and apply some changes to regular axes and skip those belonging to colorbars. What's the best way (having only fig object) to detect if an axis belongs to a colorbar or not? Thanks for an advice. Best regards, Stefan

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[Question] Possible bug in plotting large NumPy array
by juhaszp95＠gmail.com Aug. 19, 2016

Aug. 19, 2016

Dear Matplotlib users, I am Péter Juhász and I started experimenting with this demo: http://matplotlib.org/examples/pylab_examples/subplots_demo.html. What I then tried to achieve is to let y be a NumPy array of 2 rows, the first holding sin(x**2) values, the second holding something else (I set cos(x**2)), and the make the same plots as in the original demo only by using the first row of y. Unfortunately, I was quite surprised to see that pyplot/matplotlib only succeeds with this plotting if scatter plots or markers are used only, instead of the usual plotting with lines. On the other hand, with some tricks in the NumPy array (some reshapes and slicing) I was able to make pyplot/matplotlib work for both scatter plots and the usual simple plots. This however possibly takes much more time, so for big datasets does not seem feasible and anyway I do not see an obvious reason why a dataset should only work with scatter plots but not the usual, simple plots. Please find attached my code below and I would appreciate any help/explanation, or it is indeed a bug, then if it could be raised to the developers' attention. My original trial, working only with scatter plots (see for yourself! maybe it's only my installation what is going wrong?): import matplotlib.pyplot as plt import numpy as np # Simple data to display in various forms x = np.linspace(0, 2 * np.pi, 400).reshape(1, 400) print(x.shape) y = np.vstack((np.sin(x ** 2), np.cos(x ** 2))) print(y[:1].shape) plt.close('all') # Three subplots sharing both x/y axes f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True) ax1.plot(x, y[:1]) # This is not showing! ax1.set_title('Sharing both axes') ax2.scatter(x, y[:1]) ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r') # Fine-tune figure; make subplots close to each other and hide x ticks for # all but bottom plot. f.subplots_adjust(hspace=0) plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False) # row and column sharing f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row') ax1.plot(x, y[:1]) # This is not showing! ax1.set_title('Sharing x per column, y per row') ax2.scatter(x, y[:1]) ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r') ax4.plot(x, 2 * y[:1] ** 2 - 1, color='r') # This is not showing! plt.show() The working solution: import matplotlib.pyplot as plt import numpy as np # Simple data to display in various forms x = np.linspace(0, 2 * np.pi, 400).reshape(400, 1) print(x.shape) y = np.vstack((np.sin(x ** 2), np.cos(x ** 2))).reshape(400, 2) print(y[:, 0].shape) plt.close('all') # Three subplots sharing both x/y axes f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True) ax1.plot(x, y[:, 0]) ax1.set_title('Sharing both axes') ax2.scatter(x, y[:, 0]) ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r') # Fine-tune figure; make subplots close to each other and hide x ticks for # all but bottom plot. f.subplots_adjust(hspace=0) plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False) # row and column sharing f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row') ax1.plot(x, y[:, 0]) ax1.set_title('Sharing x per column, y per row') ax2.scatter(x, y[:, 0]) ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r') ax4.plot(x, 2 * y[:, 0] ** 2 - 1, color='r') plt.show() I did not modify anything else in the code respective to the original demo than what I mentioned. I hope you will be able to help. Kind regards, Péter

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matploblib 1.5.2 release tagged on GitHub but not on PyPI
by Kenneth Hoste Aug. 18, 2016

Aug. 18, 2016

Hi all, I noticed that even though matplotlib 1.5.2 has been tagged on GitHub [1], it has not been released on PyPI where the latest available (stable) version is still 1.5.1. As far as I can tell, there hasn't been a release announcement for version 1.5.2 either. Does anyone know why this is the case? regards, Kenneth [1] https://github.com/matplotlib/matplotlib/releases/tag/v1.5.2 [2] https://pypi.python.org/pypi/matplotlib/1.5.1 (no https://pypi.python.org/pypi/matplotlib/1.5.2)

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matplotlib runtime errors after installing Ubuntu 16.04
by ashwinD12 . Aug. 17, 2016

Aug. 17, 2016

Hello, I have matplotlib installed via sudo apt-get install on Ubuntu 16.04 and when I run my old scripts(developed on Ubuntu 14.04) I get this run time error . I do have basemap installed as well as pyproj using sudo apt-get. Traceback (most recent call last):File "contour.py", line 30, in <module> x,y = m(lons,lats)File "/usr/lib/python3/dist-packages/mpl_toolkits/basemap/__init__.py", line 1148, in __call__ xout,yout = self.projtran(x,y,inverse=inverse)sys.exit() File "/usr/lib/python3/dist-packages/mpl_toolkits/basemap/proj.py", line 286, in __call__ outx,outy = self._proj4(x, y, inverse=inverse) File "/usr/lib/python3/dist-packages/mpl_toolkits/basemap/pyproj.py", line 392, in __call__ _proj.Proj._fwd(self, inx, iny, radians=radians, errcheck=errcheck) File "_proj.pyx", line 122, in _proj.Proj._fwd (src/_proj.c:1571) SystemError: <class 'RuntimeError'> returned a result with an error set This is the code I am running nc_f = './hgt_500_2014_12_5_00Z.nc' nc_fid = Dataset(nc_f, 'r') # and create an instance of the ncCDF4 class lats = nc_fid.variables['lat'][:] # extract/copy the data lons = nc_fid.variables['lon'][:] time = nc_fid.variables['time'][:] hgt = nc_fid.variables['hgt'][:] m = Basemap(width=5000000,height=3500000, resolution='l',projection='stere', lat_0 = 0, lon_0 = 0, lat_ts = 40) lons,lats = np.meshgrid(lons, lats,copy=False) x,y = m(lons,lats) <----- CODE FAILS HERE m.drawcoastlines() m.drawcountries() Any thoughts ? Regards, Ashwin.

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Re: [Matplotlib-users] Fw: Matplotlib Figure margin transparancy
by Sudheer Joseph Aug. 13, 2016

Aug. 13, 2016

Hi Thanks,I wanted to say both ipython and jupyter do not work and gives errors after installation of jupyter as below. jupyter qtconsole --pylab inline [JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:[JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab' *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India@gmail.com;sudheer.joseph@yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** On Sunday, 14 August 2016 12:30 AM, Josh Devlin <joshuadevlin(a)gmail.com> wrote: Replace ipython with jupyter in your command. Sent from my iPhone On Aug 13, 2016, at 10:54 AM, Sudheer Joseph via Matplotlib-users <matplotlib-users(a)python.org> wrote: Hi all, After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .If I start sjo@SJOLTP../.jupyter~$ ipython qtconsole --pylab inline[TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions. I wont sart qtconsole.If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.pyIf I go to any other directory it wont take the configuration file.I have below line in the above ipython_config.pyc.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py' However none works for me to make pylab inline option.Can any one throw some light in to this issue? sjo@SJOLTP../.jupyter~$ lsipython_config.py jupyter.desktop jupyter_qtconsole_config.py pynb startupipython.desktop jupyter_nb.desktop migrated qtpysjo@SJOLTP../.jupyter~$ pwd/home/sjo/.jupytersjo@SJOLTP../.jupyter~$ lsipython_config.py jupyter.desktop jupyter_qtconsole_config.py pynb startupipython.desktop jupyter_nb.desktop migrated qtpysjo@SJOLTP../.jupyter~$ jupyter --version4.1.1sjo@SJOLTP../.jupyter~$ ipython --version5.0.0sjo@SJOLTP../.jupyter~$ *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India@gmail.com;sudheer.joseph@yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph(a)yahoo.com> wrote: Thank you I got it fixed after following the link of bug report.I have added rcParams['figure.facecolor'] = 'w' in 00_startup.py file in my ipython startup directory which fixed the issue *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India@gmail.com;sudheer.joseph@yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users(a)python.org> wrote: Thank you,I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this.. Sudheer Sent from Yahoo Mail for iPhone On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen(a)gmail.com> wrote: The relevant parameters are figure.facecolor andsavefigure.facecolor but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are runningI think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2 bestJens On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph(a)yahoo.com> wrote: Thank you Benjamin & Jens, I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?With best regards,Sudheer On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root(a)gmail.com> wrote: The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated. https://mail.python.org/mailman/listinfo/matplotlib-users Ben Root On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen(a)gmail.com> wrote: At least for me gmail put your mail in the spam folder. Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running. You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white. bestJens On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph(a)yahoo.com> wrote: Hi, I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message? With best regards, Sudheer > > Dear Expert, > Recently after up-gradation of matplotlib and ubuntu 16.04 I am > getting transparent figure axis when using the "linux color scheme" > option in ipython qtconsole. May I know if there is a way to fix this issue?. I > wanted to keep black screen as it reduces eye strain. > > ipython qtconsole --matplotlib inline > > If I save the image i am able to get axis properly but to see on screen as the > axis is not plotted with white background the black axis line and labels are not > visible. Earlier I used to get figures as attached in second figure. > Earlier Satus which I am looking for below link > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk > Present status without boarder below link > > > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg > > Kindly suggest a solution > with best regards, > Sudheer > ------------------------------ ------------------------------ ------------------ What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic patterns at an interface-level. Reveals which users, apps, and protocols are consuming the most bandwidth. Provides multi-vendor support for NetFlow, J-Flow, sFlow and other flows. Make informed decisions using capacity planning reports. http://sdm.link/zohodev2dev ______________________________ _________________ Matplotlib-users mailing list Matplotlib-users@lists. sourceforge.net https://lists.sourceforge.net/ lists/listinfo/matplotlib- users ------------------------------ ------------------------------ ------------------ What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic patterns at an interface-level. Reveals which users, apps, and protocols are consuming the most bandwidth. Provides multi-vendor support for NetFlow, J-Flow, sFlow and other flows. Make informed decisions using capacity planning reports. http://sdm.link/zohodev2dev ______________________________ _________________ Matplotlib-users mailing list Matplotlib-users@lists. sourceforge.net https://lists.sourceforge.net/ lists/listinfo/matplotlib- users _______________________________________________ Matplotlib-users mailing list Matplotlib-users(a)python.org https://mail.python.org/mailman/listinfo/matplotlib-users _______________________________________________ Matplotlib-users mailing list Matplotlib-users(a)python.org https://mail.python.org/mailman/listinfo/matplotlib-users

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