Hallo, I have (another) simple question. How can I make
> logaritmic histogram? If I use ( X is an array of input
> data ):
> from pylab import * logX = log10( X ) n, bins, patches =
> hist( logX, 50 ) show()
> I must take a special care for x-axis labels. Is possible to
> use semilogx()? How?
Just set the xscale attribute for the axes to be 'log' (and make sure
you have strictly positive data, of course)
ax = subplot(111, xscale='log')
ax.hist(X, 100)
JDH
It works. Thanke you very mych. But if I want to set logaritmic Y-axes
also:
ax = subplot(111, xscale='log', yscale='log' )
I get:
Traceback (most recent call last):
File "bin/plot_msg_len_dist.py", line 22, in ?
savefig( 'smith_msg_length_dist.png' )
File "/usr/lib/python2.4/site-packages/matplotlib/pylab.py", line 791,
in savefig
return fig.savefig(*args, **kwargs)
File "/usr/lib/python2.4/site-packages/matplotlib/figure.py", line
645, in savefig
self.canvas.print_figure(*args, **kwargs)
File
"/usr/lib/python2.4/site-packages/matplotlib/backends/backend_gtkagg.py",
line 93, in print_figure
try: agg.print_figure(filename, dpi, facecolor, edgecolor,
orientation)
File
"/usr/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py",
line 445, in print_figure
self.draw()
File
"/usr/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py",
line 382, in draw
self.figure.draw(renderer)
File "/usr/lib/python2.4/site-packages/matplotlib/figure.py", line
520, in draw
for a in self.axes: a.draw(renderer)
File "/usr/lib/python2.4/site-packages/matplotlib/axes.py", line 1402,
in draw
a.draw(renderer)
File "/usr/lib/python2.4/site-packages/matplotlib/patches.py", line
127, in draw
tverts = self._transform.seq_xy_tups(verts)
ValueError: Domain error on nonlinear Transformation::seq_xy_tups
operator()(thisx, thisy)
make: *** [smith_msg_length_dist.png] Error 1
PS: 'X' contais whole nubers >= 1.
On Tue, Dec 20, 2005 at 07:16:33PM -0600, John Hunter wrote:
Just set the xscale attribute for the axes to be 'log' (and make sure
you have strictly positive data, of course)ax = subplot(111, xscale='log')
ax.hist(X, 100)
--
JP