There could be a few ways. What I recommend as a matter of fact is to
use other method to draw gridlines. On the other hand, given that you
have a working example, it could be better to have different axis to
draw ticklabels in locations where you want. Here is a diff.
Regards,
-JJ
*** qqwee2.py 2011-07-20 22:02:37.973960916 +0900
--- qqwee.py 2011-07-20 22:04:46.063960883 +0900
***************
*** 36,41 ****
--- 36,60 ----
ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
fig.add_subplot(ax1)
+ grid_locator1 = FixedLocator([j-0.5*pi for j in theta[::10]])
+ grid_locator2 = FixedLocator([i for i in rad[::5]])
+
+ grid_helper2 = floating_axes.GridHelperCurveLinear(tr,
+ extremes=(.5*pi-0.17,
-.5*pi+0.17, 120, 1),
+ grid_locator1=grid_locator1,
+ grid_locator2=grid_locator2,
+ tick_formatter1=None,
+ tick_formatter2=None,
+ )
+
+ ax1.axis["left2"] = grid_helper2.new_fixed_axis("left", axes=ax1)
+ ax1.axis["left2"].line.set_visible(False)
+ ax1.axis["left2"].toggle(ticks=False)
+
+ ax1.axis["bottom2"] = grid_helper2.new_fixed_axis("bottom", axes=ax1)
+ ax1.axis["bottom2"].line.set_visible(False)
+ ax1.axis["bottom2"].toggle(ticks=False)
+
# create a parasite axes whose transData in RA, cz
aux_ax = ax1.get_aux_axes(tr)
On Tue, Jul 12, 2011 at 2:12 AM, bhargav vaidya <coolas...@gmail.com> wrote:
> Hello all,
>
> I need help to have customize tick labels using axis artist.
> My problem is to create a grid representation in polar co-ordinates (see fig)
> with r = logspace(log(1),log(120),128)
> and theta = linspace(0.17,2.97,64) # in radians
>
> I managed to to create the proper gridlines. But unfortunately I have to
> remove the tick labels as the way I describe the grid locator they crowd the
> axis.
> I would like to choose only certain points on the axis and label them as the
> plot would look nice.
>
>
> Regards
> Bhargav Vaidya.
>
> Here is my code modified to my need from already existing code found in the
> web :
>
> from matplotlib.transforms import Affine2D
> import mpl_toolkits.axisartist.floating_axes as floating_axes
>
> import numpy as np
> import mpl_toolkits.axisartist.angle_helper as angle_helper
> from matplotlib.projections import PolarAxes
> from mpl_toolkits.axisartist.grid_finder import FixedLocator, MaxNLocator, \
> DictFormatter
>
> def setup_axes2(fig, rect):
>
> tr = PolarAxes.PolarTransform()
>
> pi = np.pi
> rad = np.logspace(np.log(1.),np.log(120.),128) # Radial
> theta = np.linspace(0.17,2.97,64) # Theta Co-ordinates
> angle_ticks = [(0, r"$\frac{1}{2}\pi$"),
> (.25*pi, r"$\frac{1}{4}\pi$"),
> (.5*pi, r"$0$"),
> (-.25*pi, r"$\frac{3}{4}\pi$"),
> (-0.5*pi, r"$\pi$")]
> grid_locator1 = FixedLocator([j-0.5*pi for j in theta])
> #grid_locator1 = FixedLocator([v for v, s in angle_ticks])
>
>
> grid_locator2 = FixedLocator([i for i in rad])
>
> grid_helper = floating_axes.GridHelperCurveLinear(tr,
> extremes=(.5*pi-0.17, -.5*pi+0.17,
> 120, 1),
> grid_locator1=grid_locator1,
> grid_locator2=grid_locator2,
> tick_formatter1=None,
> tick_formatter2=None,
> )
>
> ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
> fig.add_subplot(ax1)
>
> # create a parasite axes whose transData in RA, cz
> aux_ax = ax1.get_aux_axes(tr)
>
> aux_ax.patch = ax1.patch # for aux_ax to have a clip path as in ax
> ax1.patch.zorder=0.9 # but this has a side effect that the patch is
> # drawn twice, and possibly over some other
> # artists. So, we decrease the zorder a bit to
> # prevent this.
>
> return ax1, aux_ax
> if 1:
> import matplotlib.ticker as mpltick
> import matplotlib.pyplot as plt
> fig = plt.figure(1, figsize=(10, 10))
>
>
> ax2, aux_ax2 = setup_axes2(fig, 111)
>
>
> ax2.axis["left"].major_ticklabels.set_visible(False)
> ax2.axis["bottom"].major_ticklabels.set_visible(False)
>
> ax2.grid(color='k',linestyle='-',linewidth=0.5)
>
> plt.show()
>
> Here is the eps file
>
>
>
>
>
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