Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
On Mon, Feb 02, 2009 at 03:47:32PM +, Chris Walker wrote: One of the things I liked about Gael's article was its discussion of threading - separating the gui from the calculations from the data acquisition. Thanks. Be aware that this is a rats nest, though, as threading is the best way to reveal all the subtleties of an event loop, and the various race conditions that you can have with it. The strong model/view separation that is implicit in Traits allows to hide the code making the view thread-safe in the Traits code updating implicitly the view. You can build these constraints in your multi-threaded application (I believe I touch a couple of words on this in my tutorial), but you have to be aware of the problems and the good patterns to answer them. To sum up, I am not saying this is uninteresting, on the contrary, I am just saying that such text is hard to write (which makes a good text even more interesting). My 2 cents, Gaël -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
On Sun, Feb 01, 2009 at 11:59:06PM +0100, Sandro Tosi wrote: Hi Chris, thanks for your reply, helpful as usual :) On Fri, Jan 30, 2009 at 18:59, Chris Walker chr...@chiark.greenend.org.uk wrote: Firstly, good luck with the book. cheers :) The sort of book I'd buy would explain how to use the combination of matplotlib/ipython/scipy/numpy to analyse data. Sadly, that would not the book I'll write :( The editor wanted to target another audience for the book: experienced python developers, with no knowledge of matplotlib; so an introductionary book, that will show even how to integrate mpl on GTK/WX application and on the web. I pushed to have something about science, and a chapter will be about that, but I need your (all) inputs, because my science days are long back in the past ;) Sure - though anyone wanting to use matplotlib is likely to be acquiring, manipulating and then plotting data. - what are the (basic) things that, when you were beginning to use matplotlib, you wanted to see grouped up but couldn't find? - what would you like to see in a book about matplotlib? Start off by reading data from a file, plotting it and fitting a function to that data. That sounds something that could land in the science chapter. Indeed. Plotting with related scales Sometimes it is useful to plot related scales on x1 and x2 axes. I've come across this several times in different contexts. In its simplest form, there is a linear relationship between the axes. In a mechanical test, you might want extension on the x1 axis and strain on the x2 axis (for example). Sometimes there is not a linear relationship. For example you might want to plot frequency (or photon energy) on x1 and wavelength on x2. An even more complex example is a Hall-Petch plot: (Yield Stress) = k/sqrt(Grain Size) So plotting 1/Sqrt(Grain Size) on the X1 axis gives a linear plot, but it would be useful to plot the grain size on the X2 scale. Err, I think I lost you ;) Figure 3b/3c at http://dcwww.camd.dtu.dk/~schiotz/papers/risoesymp/html/node3.html is an example - note that the y2 scale is not linear. What you want is 2 plots on the same figure? so not 2 Ys for the same X 2 scales on the same figure, yes. (let's say X is time, and Y1 is stock price variation, and Y2 is the percentage change), you want X1-Y1 (let's say on the bottom-left) and X2-Y2 (on the upper-right): did I get you? Exactly. http://en.wikipedia.org/wiki/File:Body_mass_index_chart.svg is the sort of thing I had in mind. ipython and emacs - Suppose I want to write a script to analyse some data (perhaps I want a record of what I've done, or perhaps I'd like to perform the same analysis on several data sets). I'd probably do so in emacs - but it is useful to do some experimentation in ipython - tab completion is particularly useful. I feel there must be a good way to do my experimentation in ipython and save the important bits in emacs - but I've not sat down and worked out an efficient way of doing this. I think the preferred way to do so it using ipython, and for now I plan only to show it on the book. Whether or not this make it into the book, I'm interested in how people do this. Surely you don't write your application using just ipython do you? Data aqcuisition and experimental control: - Writing a simple application to acquire data - ideally from multiple sources and plot the data as it is acquired. In my case I wanted to combine mechanical with electrical tests. A couple of interesting articles by G Varoquaux are listed at http://wiki.debian.org/DebianScience/DataAcquisition This is perhaps beyond the scope of the book, but it has come up on the mailing lists a couple of times. The ideal application would have a gui for simple use, but a command line (probably ipython) for more more complex use - perhaps performing a series of tests under different conditions. I thought about an example for this already! :) Excellent. I thought to develop a sample application for GTK/WX that display some system value (like cpu usage or so, in this way everyone can run the example) plotting the information as it comes (for 30 secs, for example). One of the things I liked about Gael's article was its discussion of threading - separating the gui from the calculations from the data acquisition. Some discussion of plotting non gridded 2d data should also be in there. for example? Something like: http://matplotlib.sourceforge.net/examples/pylab_examples/griddata_demo.html It is something I have encountered several times. Another example I had in mind is: http://www.sci.muni.cz/~mikulik/gallery.html#GaAlAsFishAtPM http://www.sci.muni.cz/~mikulik/gnuplot.html I've taken similar measurements in the past - and one often takes
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Hi Chris, thanks for your reply, helpful as usual :) On Fri, Jan 30, 2009 at 18:59, Chris Walker chr...@chiark.greenend.org.uk wrote: Firstly, good luck with the book. cheers :) The sort of book I'd buy would explain how to use the combination of matplotlib/ipython/scipy/numpy to analyse data. Sadly, that would not the book I'll write :( The editor wanted to target another audience for the book: experienced python developers, with no knowledge of matplotlib; so an introductionary book, that will show even how to integrate mpl on GTK/WX application and on the web. I pushed to have something about science, and a chapter will be about that, but I need your (all) inputs, because my science days are long back in the past ;) - what are the (basic) things that, when you were beginning to use matplotlib, you wanted to see grouped up but couldn't find? - what would you like to see in a book about matplotlib? Start off by reading data from a file, plotting it and fitting a function to that data. That sounds something that could land in the science chapter. Plotting with related scales Sometimes it is useful to plot related scales on x1 and x2 axes. I've come across this several times in different contexts. In its simplest form, there is a linear relationship between the axes. In a mechanical test, you might want extension on the x1 axis and strain on the x2 axis (for example). Sometimes there is not a linear relationship. For example you might want to plot frequency (or photon energy) on x1 and wavelength on x2. An even more complex example is a Hall-Petch plot: (Yield Stress) = k/sqrt(Grain Size) So plotting 1/Sqrt(Grain Size) on the X1 axis gives a linear plot, but it would be useful to plot the grain size on the X2 scale. Err, I think I lost you ;) What you want is 2 plots on the same figure? so not 2 Ys for the same X (let's say X is time, and Y1 is stock price variation, and Y2 is the percentage change), you want X1-Y1 (let's say on the bottom-left) and X2-Y2 (on the upper-right): did I get you? ipython and emacs - Suppose I want to write a script to analyse some data (perhaps I want a record of what I've done, or perhaps I'd like to perform the same analysis on several data sets). I'd probably do so in emacs - but it is useful to do some experimentation in ipython - tab completion is particularly useful. I feel there must be a good way to do my experimentation in ipython and save the important bits in emacs - but I've not sat down and worked out an efficient way of doing this. I think the preferred way to do so it using ipython, and for now I plan only to show it on the book. Data aqcuisition and experimental control: - Writing a simple application to acquire data - ideally from multiple sources and plot the data as it is acquired. In my case I wanted to combine mechanical with electrical tests. A couple of interesting articles by G Varoquaux are listed at http://wiki.debian.org/DebianScience/DataAcquisition This is perhaps beyond the scope of the book, but it has come up on the mailing lists a couple of times. The ideal application would have a gui for simple use, but a command line (probably ipython) for more more complex use - perhaps performing a series of tests under different conditions. I thought about an example for this already! :) I thought to develop a sample application for GTK/WX that display some system value (like cpu usage or so, in this way everyone can run the example) plotting the information as it comes (for 30 secs, for example). Some discussion of plotting non gridded 2d data should also be in there. for example? Your suggestions are really appreciated :) And wish me good luck! I don't think it is the thrust of your book, but another book I was looking for is A cookbook of Numerical simulations of classic physics/engineering problems. For use by physicists/engineers who don't want to rewrite things from scratch. As said, even if my degree is in linear algebra, my science days are gone, so it won't be in the book, if not for that chapter about science and mpl. Good luck. Cheers, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Note: Posted to matplotlib-devel and debian-science. Sandro, Firstly, good luck with the book. The sort of book I'd buy would explain how to use the combination of matplotlib/ipython/scipy/numpy to analyse data. - what are you using matplotlib for? I want to use matplotlib/ipython/numpy/scipy for analysis of experimental data - plotting and fitting models to it. Also perhaps simulation of the data. I have also wanted to use matplotlib to plot data as it was acquired - see below. I've not really used matplotlib in anger - but am likely to do so in the future (and it would have been useful during my PhD had it been around then). - what are the things you like the most of matplotlib, that you want to give emphasis to? And why? Quality plots. The ability to add TeX labels. I've been keeping an eye on matplotlib for several years - it looks good. I really must spend some time exploring it. - what are the (basic) things that, when you were beginning to use matplotlib, you wanted to see grouped up but couldn't find? - what would you like to see in a book about matplotlib? Start off by reading data from a file, plotting it and fitting a function to that data. Often, several scans are in the same data file. An elegant solution to reading data something like this example would be useful. # Scan: 1 # Time: 18:00 # Temperature: 21 # t data 1 12 2 33 3 14 4 40 5 60 # Scan: 2 # Time: 18:02 # Temperature: 30 # t data 1 22 2 33 3 44 4 55 And so on. Fitting a function to several data sets - with some of the parameters fitted to both sets of data and some not would be useful. - what are some those advanced feature that made you yell WOW!! ? - what are the things you'd like to explore of matplotlib and never had time to do? Plotting with related scales Sometimes it is useful to plot related scales on x1 and x2 axes. I've come across this several times in different contexts. In its simplest form, there is a linear relationship between the axes. In a mechanical test, you might want extension on the x1 axis and strain on the x2 axis (for example). Sometimes there is not a linear relationship. For example you might want to plot frequency (or photon energy) on x1 and wavelength on x2. An even more complex example is a Hall-Petch plot: (Yield Stress) = k/sqrt(Grain Size) So plotting 1/Sqrt(Grain Size) on the X1 axis gives a linear plot, but it would be useful to plot the grain size on the X2 scale. ipython and emacs - Suppose I want to write a script to analyse some data (perhaps I want a record of what I've done, or perhaps I'd like to perform the same analysis on several data sets). I'd probably do so in emacs - but it is useful to do some experimentation in ipython - tab completion is particularly useful. I feel there must be a good way to do my experimentation in ipython and save the important bits in emacs - but I've not sat down and worked out an efficient way of doing this. Data aqcuisition and experimental control: - Writing a simple application to acquire data - ideally from multiple sources and plot the data as it is acquired. In my case I wanted to combine mechanical with electrical tests. A couple of interesting articles by G Varoquaux are listed at http://wiki.debian.org/DebianScience/DataAcquisition This is perhaps beyond the scope of the book, but it has come up on the mailing lists a couple of times. The ideal application would have a gui for simple use, but a command line (probably ipython) for more more complex use - perhaps performing a series of tests under different conditions. Some discussion of plotting non gridded 2d data should also be in there. Your suggestions are really appreciated :) And wish me good luck! I don't think it is the thrust of your book, but another book I was looking for is A cookbook of Numerical simulations of classic physics/engineering problems. For use by physicists/engineers who don't want to rewrite things from scratch. Good luck. Chris -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Great discussion.
I think this tangent indicates a need for a section to explain both the
history of pylab, matplotlib.pyplot, and how they relate. (I'm still
confused at what exactly the difference is.)
My perspective is that of a scientist doing numerical analysis who needs to
visualize computational results and compare it to experimental data. I
normally don't have time to get into the interesting computer science
essoterica: what I need are
- a toolkit of HOWTOs;
- a solid reference to the various classes and functions; and
- a comprehensive index.
I also echo the request for a consistency in style: e.g., always use the OO
style as a basis, *supplementing* (i.e., duplicating) with a MATLAB-style as
needed.
When doing dev and programming work in python, I find myself constantly
refering to Martelli's Python in a Nutshell (2nd ed., but often using the
index from the 1st ed. because it's soo much better). At times I also
find Martelli Ascher's Python Cookbook invaluable. I think that a good
reference to functions with liberal use of code snippets, combined with a
chapter of short cookbook examples, would be most useful for the Matplotlib
book.
Tell the gent who floated you the proposal that I'm looking forward to
purchasing the book. Oh, and please hurry up with the publication!:-)
James
On Monday 05 January 2009 17:48:43 Christopher Barker wrote:
Sandro Tosi wrote:
So you suggest to start from matplotlib.pyplot and not from pylab?
actually, I think matpoltlib.pyplot still has all of pylab in it, just
not all of numpy also. So yes, do that, but what I meant was to focus on
using the OO interface, rather than the state machine interface:
rather than 'gca', 'gcf', etc, store references to the figures and axis,
etc:
this kind of thing:
fig = plt.Figure()
ax = fig.add_subplot(111)
ax.plot([1,2,3])
ax.set_title('hi mom')
ax.grid(True)
ax.set_xlabel('time')
ax.set_ylabel('volts')
While we are at it, discourage the use of import * !
-Chris
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Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
I suggest that you focus on the OO interface, rather than the pylab interface from the beginning. This will ease the transition from command line use to embedding, help folks understand the structure of MPL, and is the right way to do it (IMHO) with an OO language anyway. +1 I think many people will want to move from command-line stuff to embedding in the end. I've been a number of users attempt to embed mpl figures using the pylab interface and it always ends in frustration... The OO-interface get less attention in the documentation/examples. It would be good to address this. BC -Chris -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
On Tue, Jan 6, 2009 at 6:06 AM, Bryan Cole bryan.c...@teraview.com wrote: I think many people will want to move from command-line stuff to embedding in the end. I've been a number of users attempt to embed mpl figures using the pylab interface and it always ends in frustration... Hmm, if people are trying to do this, it does does point to an absence of adequate documentation because for years we've been saying on the lists that for years that you should not attempt to embed pyplot in a GUI. I'll make a FAQ. JDH -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
John Hunter wrote: I think many people will want to move from command-line stuff to embedding in the end. Hmm, if people are trying to do this, it does does point to an absence of adequate documentation because for years we've been saying on the lists that for years that you should not attempt to embed pyplot in a GUI. I'll make a FAQ. A FAQ is a good idea, but the real problem is that most of the docs, examples and code on this list has been matlab-style. People are going to follow examples far more than any amount of documentation. It seems there is an effort to establish a new standard style for example, etc, which will help a lot. -CHB -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/ORR(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov -- Check out the new SourceForge.net Marketplace. It is the best place to buy or sell services for just about anything Open Source. http://p.sf.net/sfu/Xq1LFB ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Christopher Barker wrote: A FAQ is a good idea, but the real problem is that most of the docs, examples and code on this list has been matlab-style. People are going to follow examples far more than any amount of documentation. I agree. I tend to learn by example with less resistance. -- Check out the new SourceForge.net Marketplace. It is the best place to buy or sell services for just about anything Open Source. http://p.sf.net/sfu/Xq1LFB ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Dear ALL, 2009/1/6 Christopher Barker chris.bar...@noaa.gov: A FAQ is a good idea, but the real problem is that most of the docs, examples and code on this list has been matlab-style. People are going to follow examples far more than any amount of documentation. I fully agree. Matplotlib examples, available tutorials, and official documentation seems too much directed towards presenting it as an alternative to Matlab, although the library much more flexible and powerful than just that. Cheers, -- Dr. Mauro J. Cavalcanti Ecoinformatics Studio P.O. Box 46521, CEP 20551-970 Rio de Janeiro, RJ, BRASIL E-mail: mauro...@gmail.com Web: http://studio.infobio.net Linux Registered User #473524 * Ubuntu User #22717 Life is complex. It consists of real and imaginary parts. -- Check out the new SourceForge.net Marketplace. It is the best place to buy or sell services for just about anything Open Source. http://p.sf.net/sfu/Xq1LFB ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
On Tue, Jan 6, 2009 at 11:59 AM, Mauro Cavalcanti mauro...@gmail.com wrote I fully agree. Matplotlib examples, available tutorials, and official documentation seems too much directed towards presenting it as an I don't think this is really true anymore -- practically every example I've written and posted in the last two years has been using the API, with pyplot just used to generate the figure and show. And most of the chapters I've written for the online docs, excepting the pyplot tutorial, have done the same http://www.nabble.com/user/UserPosts.jtp?user=93644local=yforum=2903matchingForums=a http://matplotlib.sourceforge.net/users/artists.html http://matplotlib.sourceforge.net/users/event_handling.html http://matplotlib.sourceforge.net/examples/animation/index.html http://matplotlib.sourceforge.net/examples/api/index.html http://matplotlib.sourceforge.net/examples/event_handling/index.html http://matplotlib.sourceforge.net/examples/user_interfaces/index.html JDH -- Check out the new SourceForge.net Marketplace. It is the best place to buy or sell services for just about anything Open Source. http://p.sf.net/sfu/Xq1LFB ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Hi Sandro, It's great news that a book may come out on MPL. Speaking as an aspiring university professor in neuroscience, I would like to see something that could be used as a resource for undergraduate students just learning Python and MPL. Due to this perspective, I think such a book would cover both numpy and MPL. The emphasis could clearly by on MPL, but basic numpy idioms and concepts should also be taught. I think an example-driven approach would be very useful -- something like an undergraduate laboratory experiment where students measure and plot raw values and compute histograms and statistics (e.g. mean and std). More advanced sections might perform statistical comparisons of different treatments (e.g. using chi squared, KS and/or T tests), do linear least squares fitting (with np.linalg.lstsq), and possibly non-linear curve fitting using something like scipy.optimize.fmin. That's my self-serving $0.02, since you asked! :) You may also want to speak with John Hunter and Fernando Perez about the possibility of collaborating -- they've already done some work towards a book, too. Andrew Sandro Tosi wrote: Hello and Happy 2009! I received the interesting proposal to author a book on Matplotlib, the powerful 2D plotting library for Python. While preparing the arguments list, I'd like to hear even your opinion, because different points-of-view will lead to a better product. Some basic question I'd like to ask are: - what are you using matplotlib for? - what are the things you like the most of matplotlib, that you want to give emphasis to? And why? - what are the (basic) things that, when you were beginning to use matplotlib, you wanted to see grouped up but couldn't find? - what would you like to see in a book about matplotlib? - what are some those advanced feature that made you yell WOW!! ? - what are the things you'd like to explore of matplotlib and never had time to do? Your suggestions are really appreciated :) And wish me good luck! Cheers, -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Hello Andrew, thanks for taking the time to reply. First of all, let me clarify that I received a proposal (and not the opposite) so some decision were already made about the book format. On Mon, Jan 5, 2009 at 20:00, Andrew Straw straw...@astraw.com wrote: Hi Sandro, It's great news that a book may come out on MPL. Speaking as an aspiring university professor in neuroscience, I would like to see something that could be used as a resource for undergraduate students just learning Python and MPL. The cut of the book is for already experienced Python programmers. For sure, in the approaching chapter to mpl, I won't go too much into deep of python programming, and I suppose they'll be easy to read even for new comers. Due to this perspective, I think such a book would cover both numpy and MPL. The emphasis could clearly by on MPL, but basic numpy idioms and concepts should also be taught. Mh, the focus the editor would like to see is about introducing mpl + integrating into apps. The examples I have in mind for the pratical part of apps integration already cointains some sort of introduction to gather data and plot them (but I can't go to much on the scientific side :) ). I will propose a chapter like Matplotlib for the science and here your suggestion on what you'd like to see there is welcome. I think an example-driven approach would be very useful -- something like an undergraduate laboratory experiment where students measure and plot raw values and compute histograms and statistics (e.g. mean and std). More advanced sections might perform statistical comparisons of different treatments (e.g. using chi squared, KS and/or T tests), do linear least squares fitting (with np.linalg.lstsq), and possibly non-linear curve fitting using something like scipy.optimize.fmin. That could be a beginning of that chapter contents: more more more ideas :) That's my self-serving $0.02, since you asked! :) And they are very much welcome!! You may also want to speak with John Hunter and Fernando Perez about the possibility of collaborating -- they've already done some work towards a book, too. I'm sure be happy to hear their voice on this product, but (given the preamble) I don't know if the editor would be fine with co-authorship; I'll ask, just to be sure. Cheers, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Sandro Tosi wrote: The idea of the book is to start with simple plots, describing the methods we call and how they work, to go into more details along the book. I suggest that you focus on the OO interface, rather than the pylab interface from the beginning. This will ease the transition from command line use to embedding, help folks understand the structure of MPL, and is the right way to do it (IMHO) with an OO language anyway. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/ORR(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
On Tue, Jan 6, 2009 at 00:20, Christopher Barker chris.bar...@noaa.gov wrote: Sandro Tosi wrote: The idea of the book is to start with simple plots, describing the methods we call and how they work, to go into more details along the book. I suggest that you focus on the OO interface, rather than the pylab interface from the beginning. This will ease the transition from command line use to embedding, help folks understand the structure of MPL, and is the right way to do it (IMHO) with an OO language anyway. So you suggest to start from matplotlib.pyplot and not from pylab? Well, sure it's an interesting point-of-view. I'll reflect about your proposal. Thanks!! -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
Sandro Tosi wrote:
So you suggest to start from matplotlib.pyplot and not from pylab?
actually, I think matpoltlib.pyplot still has all of pylab in it, just
not all of numpy also. So yes, do that, but what I meant was to focus on
using the OO interface, rather than the state machine interface:
rather than 'gca', 'gcf', etc, store references to the figures and axis,
etc:
this kind of thing:
fig = plt.Figure()
ax = fig.add_subplot(111)
ax.plot([1,2,3])
ax.set_title('hi mom')
ax.grid(True)
ax.set_xlabel('time')
ax.set_ylabel('volts')
While we are at it, discourage the use of import * !
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/ORR(206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
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Re: [Matplotlib-users] [matplotlib-devel] What would you like to see in a book about Matplotlib?
On Tue, Jan 6, 2009 at 01:48, Christopher Barker chris.bar...@noaa.gov wrote:
Sandro Tosi wrote:
So you suggest to start from matplotlib.pyplot and not from pylab?
actually, I think matpoltlib.pyplot still has all of pylab in it, just not
all of numpy also.
yes, pylab glues pyplot and numpy together
So yes, do that, but what I meant was to focus on using
the OO interface, rather than the state machine interface:
rather than 'gca', 'gcf', etc, store references to the figures and axis,
etc:
this kind of thing:
fig = plt.Figure()
ax = fig.add_subplot(111)
ax.plot([1,2,3])
ax.set_title('hi mom')
ax.grid(True)
ax.set_xlabel('time')
ax.set_ylabel('volts')
Ahhh ok, now I got it: I always use the style above, so I didn't know
the difference :) A reference to the doc is:
http://matplotlib.sourceforge.net/faq/usage_faq.html
While we are at it, discourage the use of import * !
Absolutely!
Your suggestions were really precious: please don't stop the stream,
it anything comes up :)
Cheers,
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Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi
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