[Matplotlib-users] Re: new scientific notation format

Hi,

this seems to be very nice! Unfortunately my knowledge about the inner li=
fe of matplotlib is not that deep, so I didn't understand where and what =
to change to benefit from the new format.

Could you please give some further information.

Thanks!
Sascha

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> Message: 7
> From: Darren Dale <dd...@co...>
> Reply-To: dd...@co...
> To: mat...@li...,
>         mat...@li...
> Date: Mon, 2 May 2005 19:57:08 -0400
> Subject: [Matplotlib-users] new scientific notation format
>Hi Everyone,
>There is a new formatter in ticker.py called NewScalarFormatter. If you =
have
> scientific notation in your plots, you may like the results. If you wou=
ld
> like to try it out, you need to change ScalarFormatter->OldScalarFormat=
ter,
> and NewScalarFormatter->ScalarFormatter. It will then be the default fo=
r
> linear scale axes. I would appreciate feedback, it will hopefully becom=
e the
> default at some point.
>Darren
>--__--__--
>Message: 8
> To: dd...@co...
> Cc: mat...@li...
> From: John Hunter <jdh...@ac...>
> Date: Mon, 02 May 2005 21:08:20 -0500
> Subject: [Matplotlib-users] Re: [matplotlib-devel] new scientific notat=
ion format
>
>>>>>> "Darren" =3D=3D Darren Dale <dd...@co...> writes:
>    Darren> Hi Everyone, There is a new formatter in ticker.py called
>     Darren> NewScalarFormatter. If you have scientific notation in
>     Darren> your plots, you may like the results. If you would like to
>     Darren> try it out, you need to change
>     Darren> ScalarFormatter->OldScalarFormatter, and
>     Darren> NewScalarFormatter->ScalarFormatter. It will then be the
>     Darren> default for linear scale axes. I would appreciate
>     Darren> feedback, it will hopefully become the default at some
>     Darren> point.
>Maybe you can provide an example that illustrates the range of normal
> and pathological changes that the new formatter is designed to
> address, so that people can compare the results visually.
>The basic problem the new formatter is trying to solve is to properly
> format cases where the view limits range from something like 2e10 to
> 2e10+5.
>  from pylab import *
>   x =3D arange(5.0)
>   plot(x+2e10, x)
>   show()
>Ie, limits where the range is small compared to end values.  In this
> case the new formatter figures out what the offset is, factors it out
> of the ticks, and displays it on the axis, so for the case above, you
> would see something like this for the x-axis
>  ----------------------------------------------
>   0       1        2       3       4        5
>                                              +2e10
>and the location of the offset text (2e10) is configurable.