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()
>
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