I don't understand what you did, i'm reading error data from a file.
def gera_grafico(N=200, eps=1):
x = np.abs(np.random.randn(N))
y = 10*np.log((30*x + 1.)**(0.5)) + 34 + eps * np.random.randn(N)
yerr = eps * np.random.randn(N)
I don't understand what you did in this code
??
Hi,
I am trying to calculate a function with a complete elliptic integral
of the 1st kind
I have defined
Phase = 4.*sqrt(p/(p -6. - 2.*e)) * ellipk(-4.*e/(p - 6. -2.*e))
where
a_mpc = 4.0
p = a_mpc * (1 - e**2.)
and I have of course done this
#!/usr/bin/env python
from pylab import *
But
hey pau,
ellipk is in scipy.special:
#!/usr/bin/env python
from pylab import *
from scipy.special import ellipk
e=1.
a_mpc = 4.0
p = a_mpc * (1 - e**2.)
Phase = 4.*sqrt(p/(p -6. - 2.*e)) * ellipk(-4.*e/(p - 6. -2.*e))
greetings,
sebastian.
signature.asc
Description: OpenPGP digital
On Oct 8, 2010, at 6:52 AM, Waléria Antunes David wrote:
I don't understand what you did, i'm reading error data from a file.
def gera_grafico(N=200, eps=1):
x = np.abs(np.random.randn(N))
y = 10*np.log((30*x + 1.)**(0.5)) + 34 + eps * np.random.randn(N)
yerr = eps *
The Mac installer for matplotlib that I recently announced had a bug: a
file in dateutil had bad permissions. I think I've finally got that
straightened out and there's a new installer here:
http://www.astro.washington.edu/users/rowen/python/
My apologies for the error.
-- Russell
I just refactored some custom code to make use of
axes_grid1.ImageGrid, and I think I've come across a bug (see below).
It looks like the tick labelsize doesn't get passed properly to the
parasite axes.
I'm using Python2.6, matplotlib-1.0.0 release, and the Qt4Agg backend.
Also, I noticed that
The label_mode need to be capital L, instead of l. I guess this
will fix your first problem.
While we make l same as L, but I think it actually degrade the
readability of the code, and I;m inclined to leave it as is. Let me
know if you have any suggestions though.
On Sat, Oct 9, 2010 at 5:43 AM,
Eric,
ax = subplot(111)
ax.tick_params(labelsize='x-small')
print ax.xaxis.majorTicks[0]._size
it sets Tick._size instead of Tick._labelsize, which seems to be a bug.
I think the below patch fixes this. Can you check (and commit if correct)?
Regards,
-JJ
diff --git a/lib/matplotlib/axis.py
