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From: Warren Weckesser <warren.weckesser@en...>  20120204 21:13:01

On Mon, Jan 23, 2012 at 3:19 PM, Paul Ivanov <pivanov314@...> wrote: > Paul Ivanov, on 20120123 13:07, wrote: > > the quick and dirty way to get close to what you want is to add > > an alpha value to the lines you're already plotting. Here's a > > small example: > > > > x = np.arange(0,3,.01) > > y = np.sin(x**2) > > all_x,all_y = [],[] > > ax = plt.gca() > > for i in range(100): > > noisex = np.random.randn(1)*.04 > > noisey = (np.random.randn(x.shape[0])*.2)**3 > > ax.plot(x+noisex,y+noisey, color='b', alpha=.01) > > all_x.append(x+noisex) > > all_y.append(y+noisey) > > > > To get a heat diagram, as was suggested, you can use a 2d > > histogram. > > > > plt.figure() > > all_x =np.array(all_x) > > all_y = np.array(all_y) > > all_x.shape = all_y.shape = 1 > > H, yedges, xedges = np.histogram2d(all_y, all_x, bins=100) > > extent = [xedges[0], xedges[1], yedges[1], yedges[0]] > > ax = plt.gca() > > plt.hot() > > ax.imshow(H, extent=extent, interpolation='nearest') > > ax.invert_yaxis() > > For completeness, attached is what the hexbin version of the same > data looks like: > > plt.hexbin(all_x, all_y) > > You may want to play with the 'bins' (for histogram2d) and > 'griddata' (for hexbin) parameters to get the appropriate level > of detail for the amount of data you have. > > To get a proper count of the 2D bins that each curve crosses, you could parameterize the curve by arclength and resample it use a small step size. Or, you could linearly interpolate between the curve's discretized data points using Bresenham's line algorithm. The latter seemed like a straightforward approach, so I wrote it up and added it to the SciPy Cookbook: http://www.scipy.org/Cookbook/EyeDiagram Warren 
From: phils <philsivyer@ho...>  20120204 15:41:29

Newbie to using matplotlib Is it possible to use wx and have a window with say 2 buttons on where when clicking on either button a different graph will appear using a different data set. Any examples? Regards Phil  View this message in context: http://old.nabble.com/Switchgraphstp33263048p33263048.html Sent from the matplotlib  users mailing list archive at Nabble.com. 
From: Fabrice Silva <silva@lm...>  20120204 09:44:51

Le vendredi 03 février 2012 à 17:39 +0000, David Craig a écrit : > sure how to get it to plot the outputs from specgram. I use > specgram as follows, > Pxx, freqs, bins, im = plt.specgram(......) > what am I trying imshow?? plt.specgram computes the spectrogram and when calls imshow to display the resulting array into an image Please tell the shape of Pxx, and try the following import numpy as np import matplotlib.pyplot as plt a = np.empty((12000, 14400), dtype=float) plt.imshow(a) plt.show() 
From: Chris <plutino@gm...>  20120204 05:15:30

I noticed this a few years back, but left it aside because most of the time I can live with it. Recently I need to make a few plots containing a few million points, and 4 pixels for a point is a disaster. So my question is why the pixel marker size is set at 4 pixels? And is there anyway to change it to a single pixel? Thanks, Chris 
From: Benjamin Root <ben.root@ou...>  20120204 04:29:57

On Friday, February 3, 2012, Jacob Biesinger <jake.biesinger@...> wrote: > Hi! > In matplotlib's 3d plotting, the three corners of the 3d cube closest to the camera are used as the axis and receive tick marks, labels, and a dark black line. Is it possible to have the black line and ticks show simultaneously on the 3 far corners at the top of the cube? > For example, I'd like to have the topleft corner, topright corner and right side of this image be dark and include ticks, but not tick labels. > http://dl.dropbox.com/u/1299034/fig_example.png > Thanks! > Unfortunately, that level of customization is not in the design of mplot3d. It it possible that it may happen in future releases as I work to bring mplot3d into featureparity with regular axes, it won't happen soon. Now, that doesn't mean that it is impossible to do right now, but it would require hacking the axis3d.py file. For each axis, a panel is drawn (which is what you see now). It is possible to simply have it plot a second (transparent) panel on the far side with a black outline. Next, there is a loop that makes the ticks and the labels at the same time. Just duplicate that loop, but for the far edge and exclude the labels. Sorry I can't be of more help right now, but I hope this info gets you where you need to be. Cheers, Ben Root 
From: Jacob Biesinger <jake.biesinger@gm...>  20120204 00:54:26

Hi! In matplotlib's 3d plotting, the three corners of the 3d cube closest to the camera are used as the axis and receive tick marks, labels, and a dark black line. Is it possible to have the black line and ticks show simultaneously on the 3 far corners at the top of the cube? For example, I'd like to have the topleft corner, topright corner and right side of this image be dark and include ticks, but not tick labels. http://dl.dropbox.com/u/1299034/fig_example.png Thanks! 