Thanks for the reply!
I have been looking into it now and thinks i have get the hang of how it works
rougly. Do you know any way to know the max-value of X straight away?
I have a list of dates that with listlength Y, the X spans from 0 - something.
So if i could figure out what "something" is i could get the ratio and then
plot the dates by indexing the ratio times X eg. (Xmax / listlength) * X.
// Tim
> From: jdh2...@gmail.com
> Date: Wed, 17 Nov 2010 05:55:04 -0600
> Subject: Re: [Matplotlib-users] Formatter dates
> To: qw...@hotmail.com
> CC: matplotlib-users@lists.sourceforge.net
>
> On Wed, Nov 17, 2010 at 2:29 AM, Tim Åberg <qw...@hotmail.com> wrote:
> > Hello!
> >
> > I have now been tampering with a custom formatter and the more i think about
> > it the more i feel there must be a more easy soulution. I have a set of
> > values that are plotted over time (i use date2num, to get the conversion
> > from date to num), i also have a list with dates that corresponds to these
> > values;
> > ['2010-11-05 10:27:45.605000', '2010-11-05 10:27:50.576000', '2010-11-05
> > 10:27:55.913000'], this to not have to do a conversion back, i imagine its
> > the most effective way to do it.
> >
> > Now to the question;
> >
> > The only two values in the datelist that is vital is the first and the last,
> > in between i really just want to have values that corresponds lineary. Thats
> > brings me to resoulution, if the values are far far in between, say weeks or
> > even moth the time (h:s:ms) isnt so important and vice versa.
> >
> > Is there any formatter that do this sort of things? eg. takes in two
> > values(dates) and format it by itself.
>
> Take a look at this example
>
> http://matplotlib.sourceforge.net/examples/api/date_index_formatter.html
>
> It's trying to solve a different but related problem: in financial
> time series you only have data on Monday - Friday, and you don't want
> to plot the gaps on weekends. So you plot the data linearly with an
> index, and use a custom locator and formatter to set and format the
> ticks.
>
> JDH
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