Hi JJ,
thanks a lot for your Answer. Now I have understand how this works and
created my one formatter:
class MyFormatter(object):
def __init__(self, fmt='$%f$'):
self.fmt = fmt
def __call__(self, direction, factor, values):
return [self.fmt % v for v in values]
Is there something like this already in Matplotlib? I looked into
axisartist but can not find anything similar.
Regards
Stefan
On Thu, 2010-11-11 at 09:38 +0900, Jae-Joon Lee wrote:
> How do you want your ticklabels formatted?
>
> If axisartist does not provide a formatter that fits your need, you
> can create a custom formatter.
> Formatter for axisartist can be any callable object with following signature.
>
> def Formatter(direction, factor, values):
> # ...
> return list_of_string_that corresponds_to_values
>
> You may ignore direction and factor parameters for now.
> For example,
>
> class MyFormatter(object):
> def __call__(self, direction, factor, values):
> _fmt = "$%.1f$"
> return [_fmt % v for v in values]
>
> then you could do
>
> grid_helper = floating_axes.GridHelperCurveLinear( tr, extremes=( 1, 2,
> 1000, 2000 ), tick_formatter1 = None, tick_formatter2 = MyFormatter() )
>
> Regards,
>
> -JJ
>
>
> On Wed, Nov 10, 2010 at 10:17 PM, Stefan Mauerberger
> <[email protected]> wrote:
> > Hello everyone,
> >
> > I have a question regarding the formatting of ticks in a curved
> > coordinate system. To create my plots I am useing the
> > mpl_toolkits.axisartist.floating_axes.GridHelperCurveLinear() function.
> > This works quite well but I have difficulties with formatting the axis.
> > I am working in a polar coordinate system. To format the longitudinal
> > axis I found the function
> > mpl_toolkits.axisartist.angle_helper.FormatterDMS() and it works good.
> > But I want to chance the formatting of the radius too. For this I need
> > to pass something to the kwargs tick_formatter2 of the function
> > GridHelperCurveLinear but I do not know what.
> >
> > Could you give me some advice?
> >
> > Regards
> >
> > Stefan
> >
> > Here is the code I use:
> >
> > import matplotlib.pyplot as plt
> > import mpl_toolkits.axisartist.floating_axes as floating_axes
> > from matplotlib.projections import PolarAxes
> >
> > fig = plt.figure()
> >
> > tr = PolarAxes.PolarTransform()
> >
> > grid_helper = floating_axes.GridHelperCurveLinear( tr, extremes=( 1, 2,
> > 1000, 2000 ), tick_formatter1 = None, tick_formatter2 = None )
> >
> > ax1 = floating_axes.FloatingSubplot( fig, 111, grid_helper=grid_helper )
> >
> > fig.add_subplot( ax1 )
> >
> > ax1.grid( True )
> >
> > plt.show()
> >
> >
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