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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