matplotlib-users Mailing List for matplotlib (Page 120)

Hi list,

i am plotting some data using scatter and contour method while
using projection 3d. Now i want to label these two plots, but i
get the following warning:

    "
    UserWarning: No labeled objects found. Use label='...'
    kwarg on individual plots. warnings.warn("No labeled
    objects found. "
    "

Can someone help me get the labelling working, or isn't that
possible while using 3d plots?

Thank you for your help,
Tom


The code i am using is this one:

# Start code
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

x = np.arange(1,10,1)
y = np.arange(10,20,1)

xx,yy = np.meshgrid(x,y)
z = .4*xx + 12*yy + .2*xx*yy + .32*xx**2*yy + \
        .234*xx*yy**2 + .34*xx**2*yy**2

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(xx,yy,z, label='1st label')
ax.contour(xx,yy,z, label='2nd label')

ax.legend()
ax.set_xlabel('TE')
ax.set_ylabel('TC')
ax.set_zlabel('Q')

plt.show()
# End code

     http://bananajoestampabay.com/wp-content/themes/toolbox/youtube.php?cftzwj892mmzinhs.htm    

























































































































rawlins02
Michael Rawlins
*******************
A man of principles. None of them interesting. -- John Dobbin
  

I'm running the following on mpl 1.2.1:

    import matplotlib.pyplot as plt
    import numpy as np

    A = np.arange(1020*1368*3, dtype=np.uint8).reshape(1020, 1368, 3)
    plt.imsave('dimcheck.png', A)

The OS tells me the picture has 1019x1368px. So one row is missing. It
works fine for e.g. 10x10x3, I'm not yet sure why it does this for this
specific dimension. PIL's save method works fine, as does pypng.

I can't check the behaviour on my other machine for now, because that one
has mpl 1.1.1 and plt.imsave apparently did not yet support 24-bit RGB
writing at that time (in 1.1.1: TypeError: from_bounds() takes exactly 4
arguments (5 given)).

Is this a bug or is there something wrong with my setup?

Thank you,
         This is some thing new, which I learned.
with best regards,
Sudheer


 
***************************************************************
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...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************


>________________________________
> From: Paul Hobson <pmh...@gm...>
>To: Sudheer Joseph <sud...@ya...> 
>Cc: "mat...@li..." <mat...@li...> 
>Sent: Friday, 14 June 2013 9:05 PM
>Subject: Re: [Matplotlib-users] savefig
> 
>
>
>On Thu, Jun 13, 2013 at 11:40 PM, Sudheer Joseph <sud...@ya...> wrote:
>
>Thank you,
>>I don't see a way other than starting in normal mode as the moment I type plot command it get displayed and I don't need to do a show command. 
>> 
>
>
>In the qtconsole, you can enter multi-line mode with crtl+enter.
>
>
>
>
>

I am trying to rasterize the fancy arrows drawn by the lovely streamplot() function, but am running into major problems since the arrows are drawn at a very late stage (to preserve their aspect ratio).

--------------
from pylab import *
fig = figure(figsize=(10,5))
x = linspace(-1,1,10)[:, None]
x = linspace(-1,1,10)[:, None]
y = x.T

# Why don't the first two work... it is annoying.  Is it a "bug" or a feature?
#s = streamplot(x, y, x+0*y, y+0*x)
#s = streamplot(x.flat, y.flat, x+0*y, y+0*x)
s = streamplot(x.ravel(), y.ravel(), x+0*y, y+0*x,
               density=0.5, arrowstyle='->', arrowsize=2.0)

setp(s.lines, rasterized=True)  # This works fine.
setp(s.arrows, rasterized=True) # This has no effect (bug?)
setp(s.arrows, visible=False)   # This also has no effect (bug?)

# Let's get the patches instead
ax = gca()
#setp(ax.patches, rasterized=True)  # The FancyArrowPatchs are here

# This does not rasterize the arrows, giving multiple warnings:
#    UserWarning: Rasterization of 'FancyArrowPatch(...)' will be ignored
savefig('tst1.pdf') 

# How about rasterizing the whole axis
ax.set_rasterized(True)
savefig('tst2.pdf')     # Weird results! (Bug?) Also rasterizes labels.

savefig('tst.png')      # This works, except that labels rasterized too.
------------

The problem appears to be that FancyArrowPatch objects are transformed late in the game (so that the arrow-heads etc. are in proper proportions), and rasterization seems to need to occur at an earlier stage.  The arrows are in the axes, so there is no upper-level container to rasterize them but not the axes labels etc.  Rasterizing the axes (tst2.pdf) does rasterize the arrows, but also the labels, and does something really wonky with the plot (the streamlines and axis frame are completely unaligned… most definitely a bug, but I need to track down exactly where this broke or if it has been fixed).

Saving to png works, but also rasterizes the labels and ticks which I want to avoid.

Is there a robust way to convert the FancyArrowPatch objects to something not-fancy at some point once I have fixed the size of the axis, figure etc. so that I can then rasterize the appropriate elements only?  Are the other behaviours noted in the comments bugs (in which case I will open some incidents)?

Thanks,
Michael.

ah, should have been:
ax1.grid()
ax2.grid()
ax1.yaxis.grid(False)

Hi Paul,

thanks for your efforts, I've figured it out by myself by now, with you
pieces of code:

ax1.grid()
ax2.grid()
ax1.xaxis.grid(False)

does the trick :)

On Thu, Jun 13, 2013 at 1:33 PM, Daniel Mader <
dan...@go...> wrote:

> Hi Paul,
>
> I've modified your suggestion a little, since I don't want a grid for the
> primary axis at all -- unfortunately to no avail, i.e. no grid line at all:
>
> import numpy
>
> import matplotlib
>
> matplotlib.use('agg')
>
> import matplotlib.pyplot as plt
>
>
> datax = numpy.arange(50)
>
> data1 = numpy.sin(datax)*1.5
>
> data2 = datax**2
>
>
> plt.close('all')
>
>
> fig = plt.figure()
>
> ax1 = fig.add_subplot(111)
>
> ax2 = ax1.twinx()
>
>
> ax1.plot(datax, data1, 'x')
>
> ax2.plot(datax, data2, '--')
>
>
> #for ax in [ax1, ax2]:
>
> # ax.xaxis.grid(True, which='both') # `which` can be 'minor', 'major', or
> 'both'
>
> # ax.yaxis.grid(True, which='both')
>
>
> ax2.xaxis.grid(True, which='both')
>
> ax2.yaxis.grid(True, which='both')
>
>
> fig.savefig('twinxgrid.png')
>
> #fig.show()
>
>
>
Try throwing this in there:

ax1.xaxis.grid(False, which='both')

ax1.yaxis.grid(False, which='both')

On Thu, Jun 13, 2013 at 11:40 PM, Sudheer Joseph
<sud...@ya...>wrote:

> Thank you,
> I don't see a way other than starting in normal mode as the moment I type
> plot command it get displayed and I don't need to do a show command.
>

In the qtconsole, you can enter multi-line mode with crtl+enter.

Thank you,
I don't see a way other than starting in normal mode as the moment I type plot command it get displayed and I don't need to do a show command. 
With best regards sudheer

Thank you Roban,
                     Your that trick worked,
if I keep ts.plot(), savefig('ts.pdf') both on same line it works!

with best regards
Sudheer

 ***************************************************************
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...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************


>________________________________
> From: Roban Kramer <ro...@gm...>
>To: sud...@ya... 
>Cc: Paul Hobson <pmh...@gm...>; "mat...@li..." <mat...@li...> 
>Sent: Thursday, 13 June 2013 8:12 PM
>Subject: Re: [Matplotlib-users] savefig
> 
>
>
>savefig works for me when I put both the plotting commands and the savefig call in the *same* code cell.
>
>
>
>On Thu, Jun 13, 2013 at 10:31 AM, Sudheer Joseph <sud...@ya...> wrote:
>
>Thank you,
>>I don't see a way other than starting in normal mode as the moment I type plot command it get displayed and I don't need to do a show command. 
>>With best regards sudheer 
>>
>>
>>
>>________________________________
>> From:  Paul Hobson <pmh...@gm...>; 
>>To:  Sudheer Joseph <sud...@ya...>; 
>>Cc:  mat...@li... <mat...@li...>; 
>>Subject:  Re: [Matplotlib-users] savefig 
>>Sent:  Thu, Jun 13, 2013 2:23:05 PM 
>>
>>
>>
>>
>>
>>On Wed, Jun 12, 2013 at 10:28 PM, Sudheer Joseph <sud...@ya...> wrote:
>>
>>Dear experts,
>>>I start ipython in ipython qtconsole --pylab=inline mode and make a plot. But if I use savefig('fig.png') the figure do not get saved instead I get a blank page.
>>>
>>> I also tried img.save('fig.png',png) but no use. Is there a way out or I need to do this after quitting and restarting in normal mode each time I want to save?
>>>
>>>ipython qtconsole --pylab=inline
>>>
>>>
>>>In [93]: ts.plot()
>>>Out[93]: <matplotlib.axes.AxesSubplot at 0x9135490>
>>>
>>
>>
>>The fig is destroyed after it has been displayed by the console. Try saving it before it gets shown.
>>-p  
>>------------------------------------------------------------------------------
>>This SF.net email is sponsored by Windows:
>>
>>Build for Windows Store.
>>
>>http://p.sf.net/sfu/windows-dev2dev
>>_______________________________________________
>>Matplotlib-users mailing list
>>Mat...@li...
>>https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
>
> 

Hi,

in this example:

========================================
import numpy as np
import matplotlib.pyplot as plt

arr = np.random.random((10, 10))

plt.contourf(arr, 10)
plt.contourf(arr, 10, cmap='coolwarm', levels=np.arange(0, 1, .2), alpha=.5)
plt.colorbar()
plt.show()
========================================

colorbar is representing last contour. 

I want to make colorbar that will match actual plot, which is combination of two contours obviously. I tried also something like:

========================================
import numpy as np
import matplotlib.pyplot as plt

arr = np.random.random((10, 10))

fig = plt.figure()
ax = fig.add_subplot(111)

cax = ax.contourf(arr, 10)
cb = fig.colorbar(cax)
cax = ax.contourf(arr, 10, cmap='coolwarm', levels=np.arange(0, 1, .2), alpha=.5)
cb.update_bruteforce(cax)    # tried also: cb.update_normal(cax)

plt.show()
========================================

but it didn't get me there. Is there some easy way to do this?

Thanks

Hi Paul,

I've modified your suggestion a little, since I don't want a grid for the
primary axis at all -- unfortunately to no avail, i.e. no grid line at all:

import numpy

import matplotlib

matplotlib.use('agg')

import matplotlib.pyplot as plt


datax = numpy.arange(50)

data1 = numpy.sin(datax)*1.5

data2 = datax**2


plt.close('all')


fig = plt.figure()

ax1 = fig.add_subplot(111)

ax2 = ax1.twinx()


ax1.plot(datax, data1, 'x')

ax2.plot(datax, data2, '--')


#for ax in [ax1, ax2]:

# ax.xaxis.grid(True, which='both') # `which` can be 'minor', 'major', or
'both'

# ax.yaxis.grid(True, which='both')


ax2.xaxis.grid(True, which='both')

ax2.yaxis.grid(True, which='both')


fig.savefig('twinxgrid.png')

#fig.show()

On Thu, Jun 13, 2013 at 4:47 AM, Daniel Mader <
dan...@go...> wrote:

> Hi,
>
> I need a twinx() plot with horizontal and vertical grid lines for the
> second axis, just like the usual grid for the first axis. I don't need or
> want to specify the ticks manually, though!
>
> My example code just produces horizontal lines:
>
> import pylab
>
>
> datax = pylab.arange(50)
>
> data1 = pylab.sin(datax)*1.5
>
> data2 = datax**2
>
>
> pylab.close('all')
>
>
> fig = pylab.figure()
>
> ax1 = fig.add_subplot(111)
>
> ax2 = ax1.twinx()
>
>
> ax1.plot(datax, data1, 'x')
>
> ax2.plot(datax, data2, '--')
>
>
> #ax1.grid()
>
> ax2.grid()
>
>
> fig.show()
>
>
> Thanks in advance!
>

Does this get you where you want to be?

import pylab

datax = pylab.arange(50)
data1 = pylab.sin(datax)*1.5
data2 = datax**2

pylab.close('all')

fig = pylab.figure()
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()

ax1.plot(datax, data1, 'x')
ax2.plot(datax, data2, '--')

for ax in [ax1, ax2]:
    ax.xaxis.grid(True, which='both') # `which` can be 'minor', 'major', or
'both'
    ax.yaxis.grid(True, which='both')

fig.show()

close_figures,  not close_all

Haven't tried to switch it at run time using %config magic though.

$ ipython [qtconsole|notebook|whatever] --help-all 

to get all option as examples in config files are **not** updated with IPython.

InlineBackend options
---------------------
--InlineBackend.close_figures=<CBool>
    Default: True
    Close all figures at the end of each cell.
    When True, ensures that each cell starts with no active figures, but it also
    means that one must keep track of references in order to edit or redraw
    figures in subsequent cells. This mode is ideal for the notebook, where
    residual plots from other cells might be surprising.
    When False, one must call figure() to create new figures. This means that
    gcf() and getfigs() can reference figures created in other cells, and the
    active figure can continue to be edited with pylab/pyplot methods that
    reference the current active figure. This mode facilitates iterative editing
    of figures, and behaves most consistently with other matplotlib backends,
    but figure barriers between cells must be explicit.

savefig works for me when I put both the plotting commands and the savefig
call in the *same* code cell.


On Thu, Jun 13, 2013 at 10:31 AM, Sudheer Joseph
<sud...@ya...>wrote:

> Thank you,
> I don't see a way other than starting in normal mode as the moment I type
> plot command it get displayed and I don't need to do a show command.
> With best regards sudheer
>
>  ------------------------------
> * From: * Paul Hobson <pmh...@gm...>;
> * To: * Sudheer Joseph <sud...@ya...>;
> * Cc: * mat...@li... <
> mat...@li...>;
> * Subject: * Re: [Matplotlib-users] savefig
> * Sent: * Thu, Jun 13, 2013 2:23:05 PM
>
>
> On Wed, Jun 12, 2013 at 10:28 PM, Sudheer Joseph <sud...@ya...
> > wrote:
>
>> Dear experts,
>> I start ipython in ipython qtconsole --pylab=inline mode and make a plot.
>> But if I use savefig('fig.png') the figure do not get saved instead I get a
>> blank page.
>>
>>  I also tried img.save('fig.png',png) but no use. Is there a way out or I
>> need to do this after quitting and restarting in normal mode each time I
>> want to save?
>>
>> ipython qtconsole --pylab=inline
>>
>>
>> In [93]: ts.plot()
>> Out[93]: <matplotlib.axes.AxesSubplot at 0x9135490>
>>
>
> The fig is destroyed after it has been displayed by the console. Try
> saving it before it gets shown.
> -p
>
>
> ------------------------------------------------------------------------------
> This SF.net email is sponsored by Windows:
>
> Build for Windows Store.
>
> http://p.sf.net/sfu/windows-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Dear Lado,

You should be able to do it simply by calling countourf multiple times
changing the alpha value (or setting it to something like 0.5)

    plt.contourf(..., alpha=0.8, ...)
    plt.contourf(..., alpha=0.6, ...)
    plt.contourf(..., alpha=0.4, ...)

The problem comes when you want to save the figure as eps: it does not
support transparency, so the alpha level is ignored and all colors are
solid.

Cheers,

Francesco




2013/6/13 Lado Samushia <co...@gm...>

> How can I plot multiple overlaid transparent contour plots in matplotlib?
> The link below has a plot that shows I am trying to achieve.
>
> https://docs.google.com/file/d/0B4HYv5Dbtu1Zb1VtOG9PTkJCeVU/edit?usp=sharing
>
>
> ------------------------------------------------------------------------------
> This SF.net email is sponsored by Windows:
>
> Build for Windows Store.
>
> http://p.sf.net/sfu/windows-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Thank you,
I don't see a way other than starting in normal mode as the moment I type plot command it get displayed and I don't need to do a show command. 
With best regards sudheer

How can I plot multiple overlaid transparent contour plots in matplotlib?
The link below has a plot that shows I am trying to achieve.
https://docs.google.com/file/d/0B4HYv5Dbtu1Zb1VtOG9PTkJCeVU/edit?usp=sharing

On Wed, Jun 12, 2013 at 10:28 PM, Sudheer Joseph
<sud...@ya...>wrote:

> Dear experts,
> I start ipython in ipython qtconsole --pylab=inline mode and make a plot.
> But if I use savefig('fig.png') the figure do not get saved instead I get a
> blank page.
>
>  I also tried img.save('fig.png',png) but no use. Is there a way out or I
> need to do this after quitting and restarting in normal mode each time I
> want to save?
>
> ipython qtconsole --pylab=inline
>
>
> In [93]: ts.plot()
> Out[93]: <matplotlib.axes.AxesSubplot at 0x9135490>
>

The fig is destroyed after it has been displayed by the console. Try saving
it before it gets shown.
-p

Hi,

I need a twinx() plot with horizontal and vertical grid lines for the
second axis, just like the usual grid for the first axis. I don't need or
want to specify the ticks manually, though!

My example code just produces horizontal lines:

import pylab


datax = pylab.arange(50)

data1 = pylab.sin(datax)*1.5

data2 = datax**2


pylab.close('all')


fig = pylab.figure()

ax1 = fig.add_subplot(111)

ax2 = ax1.twinx()


ax1.plot(datax, data1, 'x')

ax2.plot(datax, data2, '--')


#ax1.grid()

ax2.grid()


fig.show()


Thanks in advance!

Dear experts,
I start ipython in ipython qtconsole --pylab=inline mode and make a plot. But if I use savefig('fig.png') the figure do not get saved instead I get a blank page.

 I also tried img.save('fig.png',png) but no use. Is there a way out or I need to do this after quitting and restarting in normal mode each time I want to save?

ipython qtconsole --pylab=inline
 

In [93]: ts.plot()
Out[93]: <matplotlib.axes.AxesSubplot at 0x9135490>

***************************************************************
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...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************

A typical plot for me includes some simple line curves and a legend
attempting to describe what apparatus that curve belongs to.  Often the
labels I give seem clear to me at the time, but even returning a month
later to the plot, I'll be as lost as the next guy.

A few of my colleagues have been plotting curves, and then including a
picture or diagram in place of a typical legend label.  The picture or
diagram is bordered by the color of the trace on the plot.  I am fairly
certain the plots are done in Matlab.  The diagrams are simply dropped into
a powerpoint deck and given a border that is matched as close as possible
to the trace.  I did some things like that back in graduate school.

Seems like it would be neat to have a way to do a legend in matplotlib that
does something like this.  I'm envisioning a regular axes with lines,
scatter plots, etc. to the left and a column of graphics to the right.  I
would think this would be fairly doable using GridSpec or some of the
similar layout.  The place I could see getting hung up would be adding a
color border to a picture that matches the trace and also doing the scaling
to make it work all dynamically for different numbers of traces.

Am Fri, 7 Jun 2013 22:15:31 +0200
schrieb Yoshi Rokuko <yo...@ro...>:

> Fr, 7 Jun 2013 10:13:26 -0400 Michael Droettboom <md...@st...>:
> 
> > Have you tried setting ps.usedistiller to False, or xpdf?  There
> > have been problems using Ghostscript as a distiller with recent
> > versions of Ghostscript.
> 
> No, I didn't try.  Thanks for the hint, I will test that.
> 
> > We'll need a minimal example, or at least a copy of the PS file to 
> > investigate this further, however.  Also, what platform, version of 
> > matplotlib and Python are you using?
> 
> If I keep everything on my system linux with python 2.7.5 and
> matplotlib 1.2.1 it works fine.  Problems arise if I move the EPS to
> an older system or the printing.  I will have access to these
> machines on Tue.  I will try to create a minimal example then.

OK, I created a more simple example that fails. It is attached as
draw.py and the output produced by the printer is attached as a scan.
Using ps.distiller == False doesn't change the output but setting it to
'xpdf' does. The latter is also printable. Everything including the EPS
outputs is compressed in [1]. This archive includes also a file
test-opt.eps that was generated with eps2eps from the original EPS
without any ps.usedistiller options. This optimized EPS by eps2eps can
be printed too. Although sometimes bboxes get destroyed by this.

Do you need further information in order to investigate this issue?

Thank you and best regards,
Yoshi Rokuko

[1] http://rokuko.net/matplotlib-eps.tar.bz2 (23M)

Thank you very much Eric for your valuable suggestions and explanations, now I could follow what exactly was wrong with my way of doing it, I got the result correctly.
thanks a lot
with best regards,
Sudheer



----- Original Message -----
> From: Eric Firing <ef...@ha...>
> To: Sudheer Joseph <sud...@ya...>
> Cc: "mat...@li..." <mat...@li...>
> Sent: Tuesday, 11 June 2013 12:53 PM
> Subject: Re: [Matplotlib-users] time axis format
> 
> On 2013/06/10 6:16 PM, Sudheer Joseph wrote:
>> 
>> 
>>  Thank you Eric and CM,
>>  I have the below piece of code and added the new definition for minorLocs, 
> but gets the below error. I believe I did not fully understand the concept you 
> mentioned.
>> 
> 
> Try it again, please, exactly as I wrote it.
> 
>>  minorLocs = mdates.MonthLocator(bymonth=[1,3,5,7,9,11],bymonthday=15)
> 
> 
> Delete the following line:
>>  minorFmt = mdates.DateFormatter('%b')
>> 
> 
> Restore the following to what I wrote; your change to the first line is 
> wrong.
>>  class MonthLetter(minorFmt):
>>       def __init__(self):
>>           DateFormatter.__init__(self, "%b")
>>       def __call__(*args):
>>           s = DateFormatter.__call__(*args)
>>           return s[:1]
>>  minorFmt = MonthLetter()
>> 
>> 
>> 
>> 
>>       531     def viewlim_to_dt(self):
>>  --> 532         vmin, vmax = self.axis.get_view_interval()
>>       533         return num2date(vmin, self.tz), num2date(vmax, self.tz)
>>       534
>> 
>>  AttributeError: 'NoneType' object has no attribute 
> 'get_view_interva
>> 
>> 
>> 
>>  From: Eric Firing <ef...@ha...>
>> 
>>  To: mat...@li...
>>>  Sent: Tuesday, 11 June 2013 6:11 AM
>>>  Subject: Re: [Matplotlib-users] time axis format
>>> 
>>> 
>>>  On 2013/06/10 2:08 PM, Sudheer Joseph wrote:
>>>> 
>>>>  Thank you,
>>>>  So there is no way to get J F M A etc with out reducing font size? 
> We
>>>>  often need to make presentation in front of senior people who 
> insist for
>>>>  bigger fonts.
>>>>  With best regards,
>>>>  Sudheer
>>> 
>>>  One way is to subclass DateFormatter, e.g.,
>>> 
>>>  class MonthLetter(DateFormatter):
>>>        def __init__(self):
>>>            DateFormatter.__init__(self, "%b")
>>> 
>>>        def __call__(*args):
>>>            s = DateFormatter.__call__(*args)
>>>            return s[:1]
>>> 
>>>  class MonthLetterYear(DateFormatter):
>>>        def __init__(self):
>>>            DateFormatter.__init__(self, "%b\n%Y")
>>> 
>>>        def __call__(*args):
>>>            s = DateFormatter.__call__(*args)
>>>            return = s[:1] + s[3:]
>>> 
>>>  ...
>>> 
>>>  majorFmt = MonthLetterYear()
>>>  minorFmt = MonthLetter()
>>> 
>>> 
>>>  Not tested, but something like that should work.
>>> 
>>>  Eric
>>> 
>>> 
>>>> 
>>>> 
>>>> 
> ------------------------------------------------------------------------
>>>>  *From: * Paul Hobson <pmh...@gm...>;
>>>>  *To: * Sudheer Joseph <sud...@ya...>;
>>>>  *Cc: * mat...@li...
>>>>  <mat...@li...>;
>>>>  *Subject: * Re: [Matplotlib-users] time axis format
>>>>  *Sent: * Mon, Jun 10, 2013 8:08:18 PM
>>>> 
>>>>  In that case, I would use ax.tick_params(...) to make the font 
> smaller.
>>>> 
>>>> 
>>>>  On Sat, Jun 8, 2013 at 7:36 AM, Sudheer Joseph 
> <sud...@ya...
>>>>  <javascript:return>> wrote:
>>>> 
>>>>        Dear Paul,
>>>>                        The issue I am facing is like in the attached 
> plot
>>>>        where the month naming get cluttered.
>>>>        with best regards,
>>>>        Sudheer
>>>>       
> ***************************************************************
>>>>        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...@gm...
>>>>        <javascript:return>;sud...@ya... 
> <javascript:return>
>>>>        Web- http://oppamthadathil.tripod.com
>>>>       
> ***************************************************************
>>>> 
>>>>           
> ------------------------------------------------------------------------
>>>>            *From:* Sudheer Joseph <sud...@ya...
>>>>            <javascript:return>>
>>>>            *To:* Paul Hobson <pmh...@gm... 
> <javascript:return>>
>>>>            *Cc:* "mat...@li...
>>>>            <javascript:return>" 
> <mat...@li...
>>>>            <javascript:return>>
>>>>            *Sent:* Saturday, 8 June 2013 7:46 PM
>>>> 
>>>>            *Subject:* Re: [Matplotlib-users] time axis format
>>>> 
>>>>            Thank you Paul for the helping hand,
>>>>                                               However I was looking 
> for
>>>>            slightly different solution like in the attached plots. I 
> used
>>>>            ferret to do this based on the length of the time axis it 
> chose
>>>>            the mode of labelling. for example in case of 2 year plot 
> it
>>>>            made month labeling as j f m etc and in case of 1 year as 
> there
>>>>            is enough space on x axis it made jan feb etc with single 
> label
>>>>            of year.
>>>> 
>>>>            In the attached python plot 
> (ATser_RAMA_HYCOM_U_8n90e.png) every
>>>>            tick point is lablled for year, which I wanted to avoid 
> and get
>>>>            plots similar to the first types thought it is not done
>>>>            automatically but at least manually.
>>>> 
>>>> 
>>>>           
> ***************************************************************
>>>>            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...@gm...
>>>>            <javascript:return>;sud...@ya... 
> <javascript:return>
>>>>            Web- http://oppamthadathil.tripod.com
>>>>           
> ***************************************************************
>>>> 
>>>>               
> ------------------------------------------------------------------------
>>>>                *From:* Paul Hobson <pmh...@gm... 
> <javascript:return>>
>>>>                *To:* Sudheer Joseph <sud...@ya...
>>>>                <javascript:return>>
>>>>                *Cc:* "mat...@li...
>>>>                <javascript:return>" 
> <mat...@li...
>>>>                <javascript:return>>
>>>>                *Sent:* Friday, 7 June 2013 8:50 PM
>>>>                *Subject:* Re: [Matplotlib-users] time axis format
>>>> 
>>>> 
>>>> 
>>>> 
>>>>                On Thu, Jun 6, 2013 at 11:39 PM, Sudheer Joseph
>>>>                <sud...@ya... 
> <javascript:return>> wrote:
>>>> 
>>>>                    Dear Experts,
>>>>                                 I have been experimenting with the
>>>>                    plot_dates option of matplotlib to plot time 
> series data
>>>>                    and have below questions
>>>> 
>>>>                      I have used
>>>>                    loc = mdates.AutoDateLocator()
>>>>                    ax.xaxis.set_major_locator(loc)
>>>>                   
> ax.xaxis.set_major_formatter(mpl.dates.DateFormatter('%b\n
>>>>                    %Y'))
>>>> 
>>>> 
>>>>                    and got the tick labels in attached plot
>>>> 
>>>>                    However I feel the repeatd year labeling is not 
> needed
>>>>                    here and it is required once in a year only , 
> Also if I
>>>>                    need to plot long time seris insted of 
> "MAR" "APR" I
>>>>                    wanted to get them reduced to "M" 
> "A" etc so that the
>>>>                    lavel congestion can be avoided.
>>>> 
>>>> 
>>>>                    I notice that below options are available, but 
> was
>>>>                    wondering how commbinatins of these locateors are 
> used
>>>>                    ie mark every month and every year once each.
>>>> 
>>>> 
>>>>                    Is there a way to achive the above or does it 
> need
>>>>                    further development?
>>>> 
>>>>                    fmt = mdates.DateFormatter('%Y-%m-%d')
>>>>                    loc =
>>>>                   
> mdates.WeekdayLocator(byweekday=mdates.MONDAY,interval=4)
>>>>                    locator = mdates.YearLocator()
>>>> 
>>>> 
>>>>                If I were trying to do this, I'd cobble something 
> together
>>>>                using by the minor and major formatters.
>>>>                e.g.,...
>>>>                import matplotlib.dates as mdates
>>>>                import matplotlib.pyplot as plt
>>>> 
>>>>                fig, ax = plt.subplots()
>>>> 
>>>>                majorLocs = mdates.MonthLocator(bymonth[1,7])
>>>>                majorFmt = mdates.DateFormatter('%b\n%Y')
>>>> 
>>>>                minorLocs = mdates.MonthLocator(bymonth[1,7])
>>>>                minorFmt = mdates.DateFormatter('%b')
>>>> 
>>>>                ax.xaxis.set_major_locator(majorLocs)
>>>>                ax.xaxis.set_major_formatter(majorFmt)
>>>> 
>>>>                ax.xaxis.set_minor_locator(minorLocs)
>>>>                ax.xaxis.set_minor_formatter(minorFmt)
>>>> 
>>>> 
>>>> 
>>>> 
>>>> 
>>>> 
>>>> 
>>>> 
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>>> 
>>> 
>>> 
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