Thanks John, that worked perfectly (with JJ's correction). I'm fairly new to python and hadn't considered writing a separate class for it.
-Jeffrey On Mon, Aug 11, 2008 at 3:53 PM, Jae-Joon Lee <[EMAIL PROTECTED]> wrote: > A minor comment. > John's code may give incorrect results when exponents are negative. > int() truncates a floating point argument towards zero, e.g., > int(-1.5) == -1 not -2. I guess calling floor() before int() will > work. > > fx = int(np.floor(np.log(abs(val))/np.log(self._base) +0.5)) > > -JJ > > > On Mon, Aug 11, 2008 at 3:23 PM, John Hunter <[EMAIL PROTECTED]> wrote: >> On Mon, Aug 11, 2008 at 1:45 PM, Jeffrey Fogel >> <[EMAIL PROTECTED]> wrote: >> >>> The two things I have been unable to figure out are how to add a major >>> tick at all of the other magnitudes (those without a label) and how to >>> change the format of the labels so that only the exponent is showing. >>> I'm sure both of these are straightforward, but I have been unable to >>> figure them out. Thanks for your help. >> >> You can accomplish both in one swoop using a custom formatter instead >> of a custom locator. That is, instead of using a >> LogLocator(base=100.0) which isn't giving you ticks where you want >> them, use the default log locator, and make a custom formatter to >> suppress strings where you don't want them and to use the format you >> want. Eg, something like >> >> import numpy as np >> import matplotlib.pyplot as plt >> import matplotlib.ticker as ticker >> >> fig = plt.figure() >> ax = fig.add_subplot(111) >> >> N = 1000 >> x = np.arange(N) >> y = np.random.rand(N)*1e8 >> >> ax.semilogy(x, y) >> >> class MyFormatter(ticker.LogFormatter): >> >> def __call__(self, val, pos=None): >> fx = int(np.log(abs(val))/np.log(self._base) +0.5) >> isDecade = self.is_decade(fx) >> if not isDecade and self.labelOnlyBase: >> return '' >> if (fx%2)==1: # odd, skip >> return '' >> >> return '%d'%fx >> >> >> ax.yaxis.set_major_formatter(MyFormatter()) >> plt.show() >> >> ------------------------------------------------------------------------- >> This SF.Net email is sponsored by the Moblin Your Move Developer's challenge >> Build the coolest Linux based applications with Moblin SDK & win great prizes >> Grand prize is a trip for two to an Open Source event anywhere in the world >> http://moblin-contest.org/redirect.php?banner_id=100&url=/ >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
