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Yeah,
when I used my officemate's computer (matplotlib 1.1.1) it works
fine... I am running...
In [129]: import matplotlib
In [130]: matplotlib.__version__
Out[130]: '1.2.x'
Interesting...
Steven
On Wed Mar 27 16:29:53 2013, ChaoYue wrote:
> when saving as jpg, I cannot reproduce the problem.
> I am using version 1.2
>
> Chao
>
> On Wed, Mar 27, 2013 at 10:16 PM, Steven Boada [via matplotlib]
> <[hidden email] </user/SendEmail.jtp?type=node&node=40766&i=0>> wrote:
>
> Hey List,
>
> If you create a horizontal line, and then adjust the size of the
> figure, or axis limits the horizontal line does not move with
> everything else...
>
> To reproduce in ipython -pylab:
>
> axhline(5)
> yscale('log')
> ylim(0.5,30)
>
> The line stays where it started and is not moved when the plot is
> redrawn.
>
> This was discussed here (back in 2008!!!!!):
>
> http://matplotlib.1069221.n5.nabble.com/transforms-bug-axhline-with-log-y-scale-td35548.html
>
> Then... when you save the figure, the position of the horizontal
> line does *NOT* match the position you see when the figure is
> shown...
>
> savefig('test.eps')
>
> Am I missing something?
>
> Steven
>
> --
>
> Steven Boada
>
> Doctoral Student
> Dept of Physics and Astronomy
> Texas A&M University
> [hidden email] <http://user/SendEmail.jtp?type=node&node=40764&i=0>
>
>
> ------------------------------------------------------------------------------
>
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. 5ドルK grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
> _______________________________________________
> Matplotlib-users mailing list
> [hidden email] <http://user/SendEmail.jtp?type=node&node=40764&i=1>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> ------------------------------------------------------------------------
> If you reply to this email, your message will be added to the
> discussion below:
> http://matplotlib.1069221.n5.nabble.com/problem-with-axhline-and-yscale-tp40764.html
>
> To start a new topic under matplotlib - users, email [hidden
> email] </user/SendEmail.jtp?type=node&node=40766&i=1>
> To unsubscribe from matplotlib, click here.
> NAML
> <http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>
>
>
>
>
> --
> ***********************************************************************************
> Chao YUE
> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
> UMR 1572 CEA-CNRS-UVSQ
> Batiment 712 - Pe 119
> 91191 GIF Sur YVETTE Cedex
> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
> ************************************************************************************
>
> *figure_1.jpg* (149K) Download Attachment
> <http://matplotlib.1069221.n5.nabble.com/attachment/40766/0/figure_1.jpg>
>
> ------------------------------------------------------------------------
> View this message in context: Re: problem with axhline and yscale
> <http://matplotlib.1069221.n5.nabble.com/problem-with-axhline-and-yscale-tp40764p40766.html>
> Sent from the matplotlib - users mailing list archive
> <http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html> at
> Nabble.com.
>
>
> ------------------------------------------------------------------------------
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. 5ドルK grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
--
Steven Boada
Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@ph...
when saving as jpg, I cannot reproduce the problem.
I am using version 1.2
Chao
On Wed, Mar 27, 2013 at 10:16 PM, Steven Boada [via matplotlib] <
ml-...@n5...> wrote:
> Hey List,
>
> If you create a horizontal line, and then adjust the size of the figure,
> or axis limits the horizontal line does not move with everything else...
>
> To reproduce in ipython -pylab:
>
> axhline(5)
> yscale('log')
> ylim(0.5,30)
>
> The line stays where it started and is not moved when the plot is redrawn.
>
> This was discussed here (back in 2008!!!!!):
>
>
> http://matplotlib.1069221.n5.nabble.com/transforms-bug-axhline-with-log-y-scale-td35548.html
>
> Then... when you save the figure, the position of the horizontal line does
> *NOT* match the position you see when the figure is shown...
>
> savefig('test.eps')
>
> Am I missing something?
>
> Steven
>
> --
>
> Steven Boada
>
> Doctoral Student
> Dept of Physics and Astronomy
> Texas A&M University[hidden email] <http://user/SendEmail.jtp?type=node&node=40764&i=0>
>
>
> ------------------------------------------------------------------------------
>
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. 5ドルK grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
> _______________________________________________
> Matplotlib-users mailing list
> [hidden email] <http://user/SendEmail.jtp?type=node&node=40764&i=1>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> ------------------------------
> If you reply to this email, your message will be added to the discussion
> below:
>
> http://matplotlib.1069221.n5.nabble.com/problem-with-axhline-and-yscale-tp40764.html
> To start a new topic under matplotlib - users, email
> ml-...@n5...
> To unsubscribe from matplotlib, click here<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=2&code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx>
> .
> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>
--
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************
figure_1.jpg (149K) <http://matplotlib.1069221.n5.nabble.com/attachment/40766/0/figure_1.jpg>
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/problem-with-axhline-and-yscale-tp40764p40766.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
Hey Sayan, Here is the manual page: http://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html It works (basically) the same as loadtxt, but it is more flexible when there are holes in your data. Good luck. Steven On Wed Mar 27 10:07:10 2013, Sayan Chatterjee wrote: > Hi Steven, > > I am a newbie to Python and hence Matplotlib. I cannot get your point > properly. Could you please redirect me to a page where the usage is > demonstrated? > > As I can see, you're a doctoral student in Physics, it might be > worthwhile to tell you that I'm trying to code a Zeldovich > Approximation for a simple sinusoidal potential and want to make it > evolve with varying scale factor and make an animation of it. > > Cheers, > Sayan > > > On 27 March 2013 19:58, Steven Boada <bo...@ph... > <mailto:bo...@ph...>> wrote: > > Another, slightly more flexible, option is the genfromtxt > function, also in numpy. Normally you should try genfromtxt after > loadtxt doesn't work. Or, that is my normal method. > > Steven > > > On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote: > > Thank you very much for your prompt reply. > > Florian, your reply seems to be the answer to my question. > I'll try > it out. If can't figure out,I'll get back to you. > > > On 27 March 2013 15:37, Florian M. Wagner > <wag...@st... <mailto:wag...@st...> > <mailto:wag...@st...hz.__ch > <mailto:wag...@st...>>> wrote: > > Hey Sayan, > > for reading in simple ASCII-Files containing your two > arrays you > should have a look at the numpy.loadtxt function. > > Scatter plots in matplotlib are then easily created as > shown here > http://matplotlib.org/__examples/pylab_examples/__scatter_demo.html > <http://matplotlib.org/examples/pylab_examples/scatter_demo.html> > > For your purpose you can do something like: > > import os > import numpy as np > import matplotlib.pyplot as plt > > for file in os.path.listdir(): > x, y = np.loadtxt(file, unpack=True) > plt.scatter(x,y) > plt.savefig(file + '.png') > > Cheers, > > Florian > > > Am 27.03.2013 09:32, schrieb Sayan Chatterjee: > > Dear All, > > I'm new to Matplotlib. It might be a silly question, > how does one > plot data(not functions) in Matplotlib. > > How: > 1)Two arrays (X and Y) can be plotted in a scatter > diagram? > > 2) or a number of data files can used to produce > different plots > having different(sequential) name? > > Thanks in anticipation. > Regards, > Sayan > > -- > > > > ------------------------------__------------------------------__-------------- > *Sayan Chatterjee* > > Dept. of Physics and Meteorology > IIT Kharagpur > Lal Bahadur Shastry Hall of Residence > Room AB 205 > Mob: +91 9874513565 > blog: www.blissprofound.blogspot.com > <http://www.blissprofound.blogspot.com> > <http://www.blissprofound.__blogspot.com > <http://www.blissprofound.blogspot.com>> > > Volunteer , Padakshep > www.padakshep.org <http://www.padakshep.org> > <http://www.padakshep.org> > > > > > ------------------------------__------------------------------__------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo > contest. > Compete for recognition, cash, and the chance to get > your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by > 6/6/13.http://p.sf.net/sfu/__intel_levelupd2d > <http://p.sf.net/sfu/intel_levelupd2d> > > > _________________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.__sourceforge.net > <mailto:Mat...@li...> > <mailto:Matplotlib-users@__lists.sourceforge.net > <mailto:Mat...@li...>> > https://lists.sourceforge.net/__lists/listinfo/matplotlib-__users > <https://lists.sourceforge.net/lists/listinfo/matplotlib-users> > > > > > ------------------------------__------------------------------__------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo contest. > Compete for recognition, cash, and the chance to get your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by 6/6/13. > http://p.sf.net/sfu/intel___levelupd2d > <http://p.sf.net/sfu/intel_levelupd2d> > _________________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.__sourceforge.net > <mailto:Mat...@li...> > <mailto:Matplotlib-users@__lists.sourceforge.net > <mailto:Mat...@li...>> > https://lists.sourceforge.net/__lists/listinfo/matplotlib-__users > <https://lists.sourceforge.net/lists/listinfo/matplotlib-users> > > > > > -- > > > ------------------------------__------------------------------__-------------- > *Sayan Chatterjee* > > Dept. of Physics and Meteorology > IIT Kharagpur > Lal Bahadur Shastry Hall of Residence > Room AB 205 > Mob: +91 9874513565 > blog: www.blissprofound.blogspot.com > <http://www.blissprofound.blogspot.com> > <http://www.blissprofound.__blogspot.com > <http://www.blissprofound.blogspot.com>> > > Volunteer , Padakshep > www.padakshep.org <http://www.padakshep.org> > <http://www.padakshep.org> > > > > ------------------------------__------------------------------__------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo contest. > Compete for recognition, cash, and the chance to get your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by 6/6/13. > http://p.sf.net/sfu/intel___levelupd2d > <http://p.sf.net/sfu/intel_levelupd2d> > > > _________________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.__sourceforge.net > <mailto:Mat...@li...> > https://lists.sourceforge.net/__lists/listinfo/matplotlib-__users > <https://lists.sourceforge.net/lists/listinfo/matplotlib-users> > > > -- > > Steven Boada > > Doctoral Student > Dept of Physics and Astronomy > Texas A&M University > bo...@ph... <mailto:bo...@ph...> > > > > > -- > > > -------------------------------------------------------------------------- > *Sayan Chatterjee* > Dept. of Physics and Meteorology > IIT Kharagpur > Lal Bahadur Shastry Hall of Residence > Room AB 205 > Mob: +91 9874513565 > blog: www.blissprofound.blogspot.com > <http://www.blissprofound.blogspot.com> > > Volunteer , Padakshep > www.padakshep.org <http://www.padakshep.org> -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas A&M University bo...@ph...
Hey List,
If you create a horizontal line, and then adjust the size of the figure,
or axis limits the horizontal line does not move with everything else...
To reproduce in ipython -pylab:
axhline(5)
yscale('log')
ylim(0.5,30)
The line stays where it started and is not moved when the plot is redrawn.
This was discussed here (back in 2008!!!!!):
http://matplotlib.1069221.n5.nabble.com/transforms-bug-axhline-with-log-y-scale-td35548.html
Then... when you save the figure, the position of the horizontal line
does *NOT* match the position you see when the figure is shown...
savefig('test.eps')
Am I missing something?
Steven
--
Steven Boada
Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@ph...
Dear experts, in our sphinx-based project documentation (www.diracprogram.org) we have a complicated latex math formula, which is not rendered: /usr/lib/pymodules/python2.7/matplotlib/sphinxext/mathmpl.py:56: Warning: Could not render math expression $i \hbar \frac{\partial}{\partial t} \left( \begin{array}{c}\Psi^L \\\Psi^S \end{array} \right) = c \left( \begin{array}{c}(\vec{\sigma} \cdot \vec{\pi}) \Psi^S \\(\vec{\sigma} \cdot \vec{\pi}) \Psi^L \end{array} \right)+ m_ec^2 \left( \begin{array}{c} \Psi^L \\-\Psi^S \end{array} \right) + V \left( \begin{array}{c}\Psi^L \\\Psi^S \end{array} \right)$ The index.rst file with the sole math formula is attached. I have most recent Ubuntu 12.10 (x86_64) with default packages python-sphinx 1.1.2, python-matplotlib 1.1.1. Any help, please ? I was trying to cut this formula down; the smallest LaTeX part not rendered is "\begin{array}{c}\Psi^L \\ \Psi^S \end{array}". Yours, Miro
I'm pleased to announce the release of matplotlib 1.2.1. This is a bug release and improves stability and quality over the 1.2.0 release from four months ago. All users on 1.2.0 are encouraged to upgrade. Since github no longer provides download hosting, our tarballs and binaries are back on SourceForge, and we have a master index of downloads here: http://matplotlib.org/downloads <http://matplotlib.org/downloads.html> Highlights include: - Usage of deprecated APIs in matplotlib are now displayed by default on all Python versions - Agg backend: Cleaner rendering of rectilinear lines when snapping to pixel boundaries, and fixes rendering bugs when using clip paths - Python 3: Fixes a number of missed Python 3 compatibility problems - Histograms and stacked histograms have a number of important bugfixes - Compatibility with more 3rd-party TrueType fonts - SVG backend: Image support in SVG output is consistent with other backends - Qt backend: Fixes leaking of window objects in Qt backend - hexbin with a log scale now works correctly - autoscaling works better on 3D plots - ...and numerous others. Enjoy! As always, there are number of good ways to get help with matplotlib listed on the homepage at http://matplotlib.org/ and I thank everyone for their continued support of this project. Mike Droettboom
Frix, I get the same error for your first example with v1.1.1 [although I had to comment out the med_r = np.median(x_r) to get it to run]. You should probably file a bug at [1]. I get the same result for your yaxis. You need to change the formatter to ax.yaxis.set_major_formatter(plt.ScalarFormatter(useOffset=False)) -Sterling [1] https://github.com/matplotlib/matplotlib/issues On Mar 27, 2013, at 7:09AM, Hackstein wrote: > Sterling, > > I'm using matplotlib version 1.2.0 with agg backend. > > Here are two code examples, one for each problem. The first one doesn't save the figure due to the legend problem, seterr causes the script to stop with an error at that position. > The second example shows the scientific labels on the y-axis, although it should be disabled in the code. I can't get the y-axis to display plain labels. > > First example: > [code] > import numpy as np > np.seterr(all='raise') > import matplotlib.pyplot as plt > > x_i = [11.7574075935, 11.665207135799999, 11.6762413105, 11.6580992311, 11.656368388500001] > x_r = [] > dates = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02, 2.71359248e+02, 2.72320822e+02] > > diff = 0.16 > ra = [0., 110.5349726] > dec = [0., -16.1061281] > med_i = np.median(x_i) > med_r = np.median(x_r) > > plt.figure("i_only", figsize=(14.40, 9.00), dpi=100) > if x_r == []: > plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s') > plt.title('i_mag', fontsize='16') > else: > plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s') > plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s') > plt.title('i_mag', fontsize='16') > plt.rcParams['xtick.major.pad']=10 > plt.rcParams['ytick.major.pad']=10 > ax = plt.gca() > ax.title.set_y(1.1) > formy = plt.ScalarFormatter() > formy.set_powerlimits((-5, 5)) > formy.set_scientific(False) > ax.yaxis.set_major_formatter(formy) > ax.set_ylim(ax.get_ylim()[::-1]) > for tick in ax.xaxis.get_major_ticks(): > tick.label.set_fontsize(16) > for tick in ax.yaxis.get_major_ticks(): > tick.label.set_fontsize(16) > plt.xlabel('Days', fontsize='20', labelpad=20) > plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20) > > if x_r == []: > plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand', > numpoints=1, ncol=2, borderaxespad=0.) > else: > plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand', > numpoints=1, ncol=2, borderaxespad=0.) > leg = plt.gca().get_legend() > ltext = leg.get_texts() > plt.setp(ltext, fontsize='16') > plt.savefig('lc0.png', facecolor='white', bbox_inches='tight') > plt.close("i_only") > [/code] > > Second example: > [code] > import numpy as np > import matplotlib.pyplot as plt > > y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168, 11.125134152199999] > y_r = [11.148667168999999, 11.10194503, 11.112352465300001, 11.111687871799999, 11.1214449011] > dates_i = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02, 2.72320822e+02, 2.73250579e+02] > dates_r = [311.28215, 324.25844, 325.25194, 330.20983, 338.21356] > > diff = 0.16 > ra = [112.5379659, 110.5349726] > dec = [ -15.9841039, -16.1061281] > med_i = np.median(y_i) > med_r = np.median(y_r) > > plt.figure("i_only", figsize=(14.40, 9.00), dpi=100) > if y_r == []: > plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s') > plt.title('i_mag', fontsize='16') > else: > plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s') > plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s') > plt.title('i_mag', fontsize='16') > plt.rcParams['xtick.major.pad']=10 > plt.rcParams['ytick.major.pad']=10 > ax = plt.gca() > ax.title.set_y(1.1) > formy = plt.ScalarFormatter() > formy.set_powerlimits((-5, 5)) > formy.set_scientific(False) > ax.yaxis.set_major_formatter(formy) > ax.set_ylim(ax.get_ylim()[::-1]) > for tick in ax.xaxis.get_major_ticks(): > tick.label.set_fontsize(16) > for tick in ax.yaxis.get_major_ticks(): > tick.label.set_fontsize(16) > plt.xlabel('Days', fontsize='20', labelpad=20) > plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20) > > if y_r == []: > plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand', > numpoints=1, ncol=2, borderaxespad=0.) > else: > plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand', > numpoints=1, ncol=2, borderaxespad=0.) > leg = plt.gca().get_legend() > ltext = leg.get_texts() > plt.setp(ltext, fontsize='16') > plt.savefig('lc0.png', facecolor='white', bbox_inches='tight') > plt.close("i_only") > [/code] > > Best regards, > > frix > > > Am 26.03.2013 um 20:36 schrieb Sterling Smith <sm...@fu...>: > >> Frix, >> >> It may be useful to post the version and backend you are using to the list. >> >> import matplotlib >> print matplotlib.__version__ >> print matplotlib.get_backend() >> >> Also, if you can format the code as a simple self-contained example, that would help others confirm what you are seeing. >> >> -Sterling >> >> On Mar 26, 2013, at 12:01PM, Hackstein wrote: >> >>> Hello everyone, >>> >>> I have two issues with my current projects: >>> >>> 1) I automatically generate plots of several data sets in a for-loop, all of which have the same shape of x and y values, but some of which have two of those data (i.e. graphs) sets per figure, others have only one. >>> I create the legend by >>> >>> plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand', numpoints=1, borderaxespad=0.) >>> >>> which works perfectly if I plot two data sets (and therefore two labels) in a figure, but sometimes (not always) causes an error, if only one data set is plotted in a figure. >>> The legend is this >>> >>> print ax.get_legend_handles_labels() >>> ([<matplotlib.lines.Line2D object at 0x24b9550>], ['i_s']) >>> >>> and the error is >>> >>> File "/usr/lib64/python2.6/site-packages/matplotlib/offsetbox.py", line 76, in _get_packed_offsets >>> sep = (total - sum(w_list)) / (len(w_list) - 1.) >>> FloatingPointError: divide by zero encountered in double_scalars >>> >>> which I broke down to a problem with the" mode='expand'" parameter. It seems it cannot expand when the number of labels is 1. Strangely, however, that seems not always to be the case, since some of the plots with only one data set and one legend entry work without problems, but some raise an error. >>> >>> 2) Another problem occurs with the y-axis tick labels. Even if the y-values are quite ordinary (in the order of 10) the labels get scientific notation when the y-range is small (order 0.1). I don't know why that is and it only occurs then. When the y-range is larger (order of 1), the ticks get plain numbers. I tried to work around that with the following code, which did not >>> work: >>> >>> plt.figure("i_only", figsize=(14.40, 9.00), dpi=100) plt.plot(np.asarray(mod_mjd_list_i), np.asarray(x_i), 'r-', label = 'i_s') ax = plt.gca() formy = plt.ScalarFormatter() formy.set_powerlimits((-5, 5)) >>> formy.set_scientific(False) >>> ax.yaxis.set_major_formatter(formy) >>> >>> Any ideas what I can do? >>> >>> Thanks, >>> frix >>> >>> >>> ------------------------------------------------------------------------------ >>> Own the Future-Intel® Level Up Game Demo Contest 2013 >>> Rise to greatness in Intel's independent game demo contest. >>> Compete for recognition, cash, and the chance to get your game >>> on Steam. 5ドルK grand prize plus 10 genre and skill prizes. >>> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d_______________________________________________ >>> Matplotlib-users mailing list >>> Mat...@li... >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>
Hi Steven, I am a newbie to Python and hence Matplotlib. I cannot get your point properly. Could you please redirect me to a page where the usage is demonstrated? As I can see, you're a doctoral student in Physics, it might be worthwhile to tell you that I'm trying to code a Zeldovich Approximation for a simple sinusoidal potential and want to make it evolve with varying scale factor and make an animation of it. Cheers, Sayan On 27 March 2013 19:58, Steven Boada <bo...@ph...> wrote: > Another, slightly more flexible, option is the genfromtxt function, also > in numpy. Normally you should try genfromtxt after loadtxt doesn't work. > Or, that is my normal method. > > Steven > > > On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote: > >> Thank you very much for your prompt reply. >> >> Florian, your reply seems to be the answer to my question. I'll try >> it out. If can't figure out,I'll get back to you. >> >> >> On 27 March 2013 15:37, Florian M. Wagner <wag...@st... >> <mailto:wag...@st...hz.**ch <wag...@st...>>> wrote: >> >> Hey Sayan, >> >> for reading in simple ASCII-Files containing your two arrays you >> should have a look at the numpy.loadtxt function. >> >> Scatter plots in matplotlib are then easily created as shown here >> http://matplotlib.org/**examples/pylab_examples/**scatter_demo.html<http://matplotlib.org/examples/pylab_examples/scatter_demo.html> >> >> For your purpose you can do something like: >> >> import os >> import numpy as np >> import matplotlib.pyplot as plt >> >> for file in os.path.listdir(): >> x, y = np.loadtxt(file, unpack=True) >> plt.scatter(x,y) >> plt.savefig(file + '.png') >> >> Cheers, >> >> Florian >> >> >> Am 27.03.2013 09:32, schrieb Sayan Chatterjee: >> >>> Dear All, >>> >>> I'm new to Matplotlib. It might be a silly question, how does one >>> plot data(not functions) in Matplotlib. >>> >>> How: >>> 1)Two arrays (X and Y) can be plotted in a scatter diagram? >>> >>> 2) or a number of data files can used to produce different plots >>> having different(sequential) name? >>> >>> Thanks in anticipation. >>> Regards, >>> Sayan >>> >>> -- >>> >>> >>> ------------------------------**------------------------------** >>> -------------- >>> *Sayan Chatterjee* >>> >>> Dept. of Physics and Meteorology >>> IIT Kharagpur >>> Lal Bahadur Shastry Hall of Residence >>> Room AB 205 >>> Mob: +91 9874513565 >>> blog: www.blissprofound.blogspot.com >>> <http://www.blissprofound.**blogspot.com<http://www.blissprofound.blogspot.com> >>> > >>> >>> Volunteer , Padakshep >>> www.padakshep.org <http://www.padakshep.org> >>> >>> >>> >>> ------------------------------**------------------------------** >>> ------------------ >>> Own the Future-Intel® Level Up Game Demo Contest 2013 >>> Rise to greatness in Intel's independent game demo contest. >>> Compete for recognition, cash, and the chance to get your game >>> on Steam. 5ドルK grand prize plus 10 genre and skill prizes. >>> Submit your demo by 6/6/13.http://p.sf.net/sfu/**intel_levelupd2d<http://p.sf.net/sfu/intel_levelupd2d> >>> >>> >>> ______________________________**_________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.**sourceforge.net<Mat...@li...> <mailto: >>> Matplotlib-users@**lists.sourceforge.net<Mat...@li...> >>> > >>> https://lists.sourceforge.net/**lists/listinfo/matplotlib-**users<https://lists.sourceforge.net/lists/listinfo/matplotlib-users> >>> >> >> >> ------------------------------**------------------------------** >> ------------------ >> Own the Future-Intel® Level Up Game Demo Contest 2013 >> Rise to greatness in Intel's independent game demo contest. >> Compete for recognition, cash, and the chance to get your game >> on Steam. 5ドルK grand prize plus 10 genre and skill prizes. >> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_**levelupd2d<http://p.sf.net/sfu/intel_levelupd2d> >> ______________________________**_________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.**sourceforge.net<Mat...@li...> >> <mailto:Matplotlib-users@**lists.sourceforge.net<Mat...@li...> >> > >> https://lists.sourceforge.net/**lists/listinfo/matplotlib-**users<https://lists.sourceforge.net/lists/listinfo/matplotlib-users> >> >> >> >> >> -- >> >> >> ------------------------------**------------------------------** >> -------------- >> *Sayan Chatterjee* >> >> Dept. of Physics and Meteorology >> IIT Kharagpur >> Lal Bahadur Shastry Hall of Residence >> Room AB 205 >> Mob: +91 9874513565 >> blog: www.blissprofound.blogspot.com >> <http://www.blissprofound.**blogspot.com<http://www.blissprofound.blogspot.com> >> > >> >> Volunteer , Padakshep >> www.padakshep.org <http://www.padakshep.org> >> >> >> >> ------------------------------**------------------------------** >> ------------------ >> Own the Future-Intel® Level Up Game Demo Contest 2013 >> Rise to greatness in Intel's independent game demo contest. >> Compete for recognition, cash, and the chance to get your game >> on Steam. 5ドルK grand prize plus 10 genre and skill prizes. >> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_**levelupd2d<http://p.sf.net/sfu/intel_levelupd2d> >> >> >> ______________________________**_________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.**sourceforge.net<Mat...@li...> >> https://lists.sourceforge.net/**lists/listinfo/matplotlib-**users<https://lists.sourceforge.net/lists/listinfo/matplotlib-users> >> > > -- > > Steven Boada > > Doctoral Student > Dept of Physics and Astronomy > Texas A&M University > bo...@ph... > -- -------------------------------------------------------------------------- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org
Another, slightly more flexible, option is the genfromtxt function, also in numpy. Normally you should try genfromtxt after loadtxt doesn't work. Or, that is my normal method. Steven On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote: > Thank you very much for your prompt reply. > > Florian, your reply seems to be the answer to my question. I'll try > it out. If can't figure out,I'll get back to you. > > > On 27 March 2013 15:37, Florian M. Wagner <wag...@st... > <mailto:wag...@st...>> wrote: > > Hey Sayan, > > for reading in simple ASCII-Files containing your two arrays you > should have a look at the numpy.loadtxt function. > > Scatter plots in matplotlib are then easily created as shown here > http://matplotlib.org/examples/pylab_examples/scatter_demo.html > > For your purpose you can do something like: > > import os > import numpy as np > import matplotlib.pyplot as plt > > for file in os.path.listdir(): > x, y = np.loadtxt(file, unpack=True) > plt.scatter(x,y) > plt.savefig(file + '.png') > > Cheers, > > Florian > > > Am 27.03.2013 09:32, schrieb Sayan Chatterjee: >> Dear All, >> >> I'm new to Matplotlib. It might be a silly question, how does one >> plot data(not functions) in Matplotlib. >> >> How: >> 1)Two arrays (X and Y) can be plotted in a scatter diagram? >> >> 2) or a number of data files can used to produce different plots >> having different(sequential) name? >> >> Thanks in anticipation. >> Regards, >> Sayan >> >> -- >> >> >> -------------------------------------------------------------------------- >> *Sayan Chatterjee* >> Dept. of Physics and Meteorology >> IIT Kharagpur >> Lal Bahadur Shastry Hall of Residence >> Room AB 205 >> Mob: +91 9874513565 >> blog: www.blissprofound.blogspot.com >> <http://www.blissprofound.blogspot.com> >> >> Volunteer , Padakshep >> www.padakshep.org <http://www.padakshep.org> >> >> >> ------------------------------------------------------------------------------ >> Own the Future-Intel® Level Up Game Demo Contest 2013 >> Rise to greatness in Intel's independent game demo contest. >> Compete for recognition, cash, and the chance to get your game >> on Steam. 5ドルK grand prize plus 10 genre and skill prizes. >> Submit your demo by 6/6/13.http://p.sf.net/sfu/intel_levelupd2d >> >> >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... <mailto:Mat...@li...> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > ------------------------------------------------------------------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo contest. > Compete for recognition, cash, and the chance to get your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > <mailto:Mat...@li...> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > -- > > > -------------------------------------------------------------------------- > *Sayan Chatterjee* > Dept. of Physics and Meteorology > IIT Kharagpur > Lal Bahadur Shastry Hall of Residence > Room AB 205 > Mob: +91 9874513565 > blog: www.blissprofound.blogspot.com > <http://www.blissprofound.blogspot.com> > > Volunteer , Padakshep > www.padakshep.org <http://www.padakshep.org> > > > ------------------------------------------------------------------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo contest. > Compete for recognition, cash, and the chance to get your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Steven Boada Doctoral Student Dept of Physics and Astronomy Texas A&M University bo...@ph...
Sterling,
I'm using matplotlib version 1.2.0 with agg backend.
Here are two code examples, one for each problem. The first one doesn't save the figure due to the legend problem, seterr causes the script to stop with an error at that position.
The second example shows the scientific labels on the y-axis, although it should be disabled in the code. I can't get the y-axis to display plain labels.
First example:
[code]
import numpy as np
np.seterr(all='raise')
import matplotlib.pyplot as plt
x_i = [11.7574075935, 11.665207135799999, 11.6762413105, 11.6580992311, 11.656368388500001]
x_r = []
dates = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02, 2.71359248e+02, 2.72320822e+02]
diff = 0.16
ra = [0., 110.5349726]
dec = [0., -16.1061281]
med_i = np.median(x_i)
med_r = np.median(x_r)
plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
if x_r == []:
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if x_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close("i_only")
[/code]
Second example:
[code]
import numpy as np
import matplotlib.pyplot as plt
y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168, 11.125134152199999]
y_r = [11.148667168999999, 11.10194503, 11.112352465300001, 11.111687871799999, 11.1214449011]
dates_i = [2.83611000e-01, 2.69330463e+02, 2.70280648e+02, 2.72320822e+02, 2.73250579e+02]
dates_r = [311.28215, 324.25844, 325.25194, 330.20983, 338.21356]
diff = 0.16
ra = [112.5379659, 110.5349726]
dec = [ -15.9841039, -16.1061281]
med_i = np.median(y_i)
med_r = np.median(y_r)
plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
if y_r == []:
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
if y_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close("i_only")
[/code]
Best regards,
frix
Am 26.03.2013 um 20:36 schrieb Sterling Smith <sm...@fu...>:
> Frix,
>
> It may be useful to post the version and backend you are using to the list.
>
> import matplotlib
> print matplotlib.__version__
> print matplotlib.get_backend()
>
> Also, if you can format the code as a simple self-contained example, that would help others confirm what you are seeing.
>
> -Sterling
>
> On Mar 26, 2013, at 12:01PM, Hackstein wrote:
>
>> Hello everyone,
>>
>> I have two issues with my current projects:
>>
>> 1) I automatically generate plots of several data sets in a for-loop, all of which have the same shape of x and y values, but some of which have two of those data (i.e. graphs) sets per figure, others have only one.
>> I create the legend by
>>
>> plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand', numpoints=1, borderaxespad=0.)
>>
>> which works perfectly if I plot two data sets (and therefore two labels) in a figure, but sometimes (not always) causes an error, if only one data set is plotted in a figure.
>> The legend is this
>>
>> print ax.get_legend_handles_labels()
>> ([<matplotlib.lines.Line2D object at 0x24b9550>], ['i_s'])
>>
>> and the error is
>>
>> File "/usr/lib64/python2.6/site-packages/matplotlib/offsetbox.py", line 76, in _get_packed_offsets
>> sep = (total - sum(w_list)) / (len(w_list) - 1.)
>> FloatingPointError: divide by zero encountered in double_scalars
>>
>> which I broke down to a problem with the" mode='expand'" parameter. It seems it cannot expand when the number of labels is 1. Strangely, however, that seems not always to be the case, since some of the plots with only one data set and one legend entry work without problems, but some raise an error.
>>
>> 2) Another problem occurs with the y-axis tick labels. Even if the y-values are quite ordinary (in the order of 10) the labels get scientific notation when the y-range is small (order 0.1). I don't know why that is and it only occurs then. When the y-range is larger (order of 1), the ticks get plain numbers. I tried to work around that with the following code, which did not
>> work:
>>
>> plt.figure("i_only", figsize=(14.40, 9.00), dpi=100) plt.plot(np.asarray(mod_mjd_list_i), np.asarray(x_i), 'r-', label = 'i_s') ax = plt.gca() formy = plt.ScalarFormatter() formy.set_powerlimits((-5, 5))
>> formy.set_scientific(False)
>> ax.yaxis.set_major_formatter(formy)
>>
>> Any ideas what I can do?
>>
>> Thanks,
>> frix
>>
>>
>> ------------------------------------------------------------------------------
>> Own the Future-Intel® Level Up Game Demo Contest 2013
>> Rise to greatness in Intel's independent game demo contest.
>> Compete for recognition, cash, and the chance to get your game
>> on Steam. 5ドルK grand prize plus 10 genre and skill prizes.
>> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d_______________________________________________
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>
On Wed, Mar 27, 2013 at 1:03 AM, Gökhan Sever <gok...@gm...> wrote:
> Hello,
>
> Aren't these two log scaling calls supposed to be performing the same
> action?
>
> Here is a simple script tested in ipython --pylab
>
> fig = plt.figure(figsize=(5, 5))
> ax1 = fig.add_subplot(1,1,1)
> ax1.plot(np.random.randn(100))
>
> ax1.xaxis.set_scale('log')
> ax1.set_xscale('log')
>
>
Intuitively, I guess they should be identical, but they don't seem to be.
It seems like for "ax1.xaxis.set_scale('log')", everything is set
correctly, except the projection.
Ben Root
I'm pleased to announce the release of matplotlib 1.2.1. This is a bug release and improves stability and quality over the 1.2.0 release from four months ago. All users on 1.2.0 are encouraged to upgrade. Since github no longer provides download hosting, our tarballs and binaries are back on SourceForge, and we have a master index of downloads here: http://matplotlib.org/downloads <http://matplotlib.org/downloads.html> Highlights include: - Usage of deprecated APIs in matplotlib are now displayed by default on all Python versions - Agg backend: Cleaner rendering of rectilinear lines when snapping to pixel boundaries, and fixes rendering bugs when using clip paths - Python 3: Fixes a number of missed Python 3 compatibility problems - Histograms and stacked histograms have a number of important bugfixes - Compatibility with more 3rd-party TrueType fonts - SVG backend: Image support in SVG output is consistent with other backends - Qt backend: Fixes leaking of window objects in Qt backend - hexbin with a log scale now works correctly - autoscaling works better on 3D plots - ...and numerous others. Enjoy! As always, there are number of good ways to get help with matplotlib listed on the homepage at http://matplotlib.org/ and I thank everyone for their continued support of this project. Mike Droettboom
On 2013年3月27日 14:02:58 +0530 Sayan Chatterjee <say...@gm...> wrote: > I'm new to Matplotlib. It might be a silly question, how does one plot > data(not functions) in Matplotlib. Besides the solution given in the first reply, you may also check https://github.com/dmcdougall/mpl_binutils Regards Alex
Thank you very much for your prompt reply. Florian, your reply seems to be the answer to my question. I'll try it out. If can't figure out,I'll get back to you. On 27 March 2013 15:37, Florian M. Wagner <wag...@st...> wrote: > Hey Sayan, > > for reading in simple ASCII-Files containing your two arrays you should > have a look at the numpy.loadtxt function. > > Scatter plots in matplotlib are then easily created as shown here > http://matplotlib.org/examples/pylab_examples/scatter_demo.html > > For your purpose you can do something like: > > import os > import numpy as np > import matplotlib.pyplot as plt > > for file in os.path.listdir(): > x, y = np.loadtxt(file, unpack=True) > plt.scatter(x,y) > plt.savefig(file + '.png') > > Cheers, > > Florian > > > Am 27.03.2013 09:32, schrieb Sayan Chatterjee: > > Dear All, > > I'm new to Matplotlib. It might be a silly question, how does one plot > data(not functions) in Matplotlib. > > How: > 1)Two arrays (X and Y) can be plotted in a scatter diagram? > > 2) or a number of data files can used to produce different plots having > different(sequential) name? > > Thanks in anticipation. > Regards, > Sayan > > -- > > > -------------------------------------------------------------------------- > *Sayan Chatterjee* > Dept. of Physics and Meteorology > IIT Kharagpur > Lal Bahadur Shastry Hall of Residence > Room AB 205 > Mob: +91 9874513565 > blog: www.blissprofound.blogspot.com > > Volunteer , Padakshep > www.padakshep.org > > > ------------------------------------------------------------------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo contest. > Compete for recognition, cash, and the chance to get your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d > > > > _______________________________________________ > Matplotlib-users mailing lis...@li...https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > ------------------------------------------------------------------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo contest. > Compete for recognition, cash, and the chance to get your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- -------------------------------------------------------------------------- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org
Hey Sayan, for reading in simple ASCII-Files containing your two arrays you should have a look at the numpy.loadtxt function. Scatter plots in matplotlib are then easily created as shown here http://matplotlib.org/examples/pylab_examples/scatter_demo.html For your purpose you can do something like: import os import numpy as np import matplotlib.pyplot as plt for file in os.path.listdir(): x, y = np.loadtxt(file, unpack=True) plt.scatter(x,y) plt.savefig(file + '.png') Cheers, Florian Am 27.03.2013 09:32, schrieb Sayan Chatterjee: > Dear All, > > I'm new to Matplotlib. It might be a silly question, how does one plot > data(not functions) in Matplotlib. > > How: > 1)Two arrays (X and Y) can be plotted in a scatter diagram? > > 2) or a number of data files can used to produce different plots > having different(sequential) name? > > Thanks in anticipation. > Regards, > Sayan > > -- > > > -------------------------------------------------------------------------- > *Sayan Chatterjee* > Dept. of Physics and Meteorology > IIT Kharagpur > Lal Bahadur Shastry Hall of Residence > Room AB 205 > Mob: +91 9874513565 > blog: www.blissprofound.blogspot.com > <http://www.blissprofound.blogspot.com> > > Volunteer , Padakshep > www.padakshep.org <http://www.padakshep.org> > > > ------------------------------------------------------------------------------ > Own the Future-Intel® Level Up Game Demo Contest 2013 > Rise to greatness in Intel's independent game demo contest. > Compete for recognition, cash, and the chance to get your game > on Steam. 5ドルK grand prize plus 10 genre and skill prizes. > Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Dear All, I'm new to Matplotlib. It might be a silly question, how does one plot data(not functions) in Matplotlib. How: 1)Two arrays (X and Y) can be plotted in a scatter diagram? 2) or a number of data files can used to produce different plots having different(sequential) name? Thanks in anticipation. Regards, Sayan -- -------------------------------------------------------------------------- *Sayan Chatterjee* Dept. of Physics and Meteorology IIT Kharagpur Lal Bahadur Shastry Hall of Residence Room AB 205 Mob: +91 9874513565 blog: www.blissprofound.blogspot.com Volunteer , Padakshep www.padakshep.org
Hello,
Aren't these two log scaling calls supposed to be performing the same
action?
Here is a simple script tested in ipython --pylab
fig = plt.figure(figsize=(5, 5))
ax1 = fig.add_subplot(1,1,1)
ax1.plot(np.random.randn(100))
ax1.xaxis.set_scale('log')
ax1.set_xscale('log')
Thanks.
--
Gökhan