matplotlib-users Mailing List for matplotlib

I rolled a 20 today for necromancer, so I am going to do a thread
resurrection. Given recent improvements in matplotlib, we should
definitely make this web-enabled. That way, we can share our nerdiness with
our non-nerdy significant others.
Happy Valentine's day!
Ben
On Mon, Feb 14, 2011 at 8:25 PM, Paul Ivanov <piv...@gm...> wrote:
> jules hummon, on 2011年02月14日 07:23, wrote:
> > Feel free to 'save and run', pass along, or ignore.
> > This was my valentine's day present today.
>
> Thank you for sharing! I took the liberty of livening it up for
> my sweetheart.
>
> #---------------------------------------------------
> # hohumheartbeat.py - a more lively hohumheart.py ;)
>
> import numpy as np
> import matplotlib as mpl
> import matplotlib.pyplot as plt
> from matplotlib.patches import Polygon
>
> # force square figure and square axes looks better for polar, IMO
> width, height = mpl.rcParams['figure.figsize']
> size = min(width, height)
> # make a square figure
> fig = plt.figure(figsize=(size, size))
> ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#ffffff')
> ax2 = fig.add_axes([0.45, .9, 0.1, 0.1], polar=True, axisbg='#ffffff')
>
> ax.set_rmax(2.0)
> ax2.set_rmax(4.0)
> ax2.spines['polar'].set_visible(False)
> ax2.patch.set_alpha(.3)
> for a in ax,ax2:
> a.set_xticks([])
> a.set_yticks([])
> ax.grid(False)
>
> theta = np.linspace(0,1,100)*np.pi*2
> r = 1*(1-np.cos(theta))
>
> ncards = 5
> step = 2*np.pi/ncards
> pdict = dict(fc='r',ec='k', alpha=.5)
> for ii in range(ncards):
> tr = np.column_stack((theta+ii*step, r))
> ax.add_patch(Polygon(tr, **pdict))
>
> # from WolframMath "Heart Curve"
> r2 = 2 - 2*np.sin(theta)
> r2 += np.sin(theta) * np.sqrt(np.abs(np.cos(theta))) / (np.sin(theta)+1.4)
>
> tr2 = np.column_stack((theta, r2))
> ax2.add_patch(Polygon(tr2,**pdict)) # heart
>
> kwargs = dict(transform=ax2.transAxes, va='center', fontsize=20)
> ax2.text(0,.45,"I",ha='right',**kwargs)
> ax2.text(1,.4,"you",ha='left',**kwargs)
>
> beat = np.tan(np.linspace(0, np.pi*2, 100))
> beat[0:20] = beat[60:80]
> beat[-20:] = beat[20:40]
> beat -= beat.min()
> beat /= beat.max()
>
> i=0; beatlen = len(beat)-1;
> def heartbeat(e):
> global i;
> i = (i+1) % (beatlen)
> y = beat[i]
> ax2.set_rmax(y*4. + 4.)
> ax2.draw(ax.figure.canvas.get_renderer())
> ax2.figure.canvas.blit(ax2.bbox)
> #plt.draw() #use if the last two lines cause trouble
>
> # even your mouse movements make my heart skip a bit!
> cid = ax.figure.canvas.mpl_connect('idle_event', heartbeat)
>
> print "ax.figure.canvas.mpl_disconnect(%d)" %cid
> print "#run the line above to 'flatline' (stop heartbeat)"
> plt.show()
>
> best,
> --
> Paul Ivanov
> 314 address only used for lists, off-list direct email at:
> http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
>
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Hey Gabriele,
See this example here:
http://stackoverflow.com/questions/14762181/adding-a-y-axis-label-to-secondary-y-axis-in-matplotlib/14762601#14762601
On Fri, Feb 14, 2014 at 12:32 PM, Gabriele Brambilla <
gb....@gm...> wrote:
> Hi,
>
> I'm trying to plot two functions on the same errorbar picture like the
> code below:
>
> fmlp = plt.figure()
>
> axop = fmlp.add_subplot(111)
>
> insp = axop.errorbar(g, Pampli, yerr = ePampli, fmt = '.')
> ins1 = axop.errorbar(g, lightcurva, yerr = zeros, fmt = 'x')
>
> axop.set_title('amplitudes for phases')
>
> fmlp.canvas.draw()
>
> but the two functions has a very different range in y values (one near
> 10^-15 one near 1): how could I use two different scale (one per function)
> on the same plot?
>
> thanks
>
>
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>
>

Hi,
I'm trying to plot two functions on the same errorbar picture like the code
below:
 fmlp = plt.figure()
 axop = fmlp.add_subplot(111)
 insp = axop.errorbar(g, Pampli, yerr = ePampli, fmt = '.')
 ins1 = axop.errorbar(g, lightcurva, yerr = zeros, fmt = 'x')
 axop.set_title('amplitudes for phases')
 fmlp.canvas.draw()
but the two functions has a very different range in y values (one near
10^-15 one near 1): how could I use two different scale (one per function)
on the same plot?
thanks

>> Is there a way to have subplots_adjust() automatically chose left,
>> right, bottom, top values so that everything that's been drawn tightly
>> fits the figure? 
> What about plt.tight_layout() ?
> (or fig.tight_layout )
Yes, thanks, Pierre!
Andreas.

Hi,
I think there is an
import warnings
statement missing in the setupext.py file in the matplotlib-1.3.1 source
package. Adding the missing import made the installation from source
work for me.
Maybe someone can doublecheck that.
Best,
Benjamin
-- 
Benjamin Trendelkamp-Schroer
Freie Universität Berlin
FB Mathematik + Informatik
Institut für Mathematik
Arnimallee 6 
D-14195 Berlin-Dahlem
tre...@ze...
+49-(0)30-838-75364

Greetings list,
I am trying to figure out the differences between mlab.specgram and
MATLABs spectrogram functions. I am mostly interested in MATLABs [.., P]
output which is the PSD for each segment. It seems to me that the output
of mlab.specgram's (Pxx, ..) is in fact the equivialent of MATLABSs [.., P] and
not [S, ...], is this correct?
Thanks, Gaute

Hi Andreas,
Le 14/02/2014 08:12, Andreas Hilboll a écrit :
> Is there a way to have subplots_adjust() automatically chose left,
> right, bottom, top values so that everything that's been drawn tightly
> fits the figure? 
What about plt.tight_layout() ?
(or fig.tight_layout )
best,
Pierre

I need some help in saving effort to make a figure fill its canvas:
Is there a way to have subplots_adjust() automatically chose left,
right, bottom, top values so that everything that's been drawn tightly
fits the figure? Basically I'm looking for something similar to
bbox_inclues='tight' in savefig, except that I want the figure
dimensions to stay the same and have the contents of the figure adjust
to the figsize so that no space is wasted. Obviously, the hspace and
wspace in subplots_adjust would still have to be choseable by the user.
Any ideas?
-- Andreas.