Andrew Straw wrote:
Gary Ruben wrote:
This looks nice Andrew,
I haven't tried it, but I wonder whether it's possible to add a
keyword arg to suppress the 0's at the origin which are cut through by
the axes in the zeroed case (and/or possibly shift the 0 on the
horizontal axis left). The same thing is happening in the (1,2) case
on the vertical axis.
Hi Gary,
John also suggested something like this. I don't think it's impossible,
but it's outside the scope of the work I have done and beyond my
immediate familiarity with the code base. I think it would involve
looking at the tick label bounding boxes, finding overlaps, and then
deciding which label was less important and removing it. I don't think
it would be impossible, and maybe not even hard, but I haven't
investigated at all. Thanks for keeping it on the queue.
I did something like this for the Sage project, but I did it on the tick
formatter level. I just made a tick formatter that omitted specified
positions. I've attached the "Selective Formatter" class. If anyone
has comments, I'd appreciate them! Basically, I just replaced the
formatter with the selective formatter, which passed things on to the
previous formatter if the tick label was allowed.
It would be great if spines supported this sort of thing natively, but
the flexibility of tick formatters seems like a nice place to handle it
as well.
Thanks,
Jason
from matplotlib.ticker import Formatter
class SelectiveFormatter(Formatter):
"""
This matplotlib formatter selectively omits some tick values and
passes the rest on to a specified formatter.
EXAMPLES:
This example is almost straight from a matplotlib example.
::
sage: from sage.plot.plot import SelectiveFormatter
sage: import matplotlib.pyplot as plt
sage: import numpy
sage: fig=plt.figure()
sage: ax=fig.add_subplot(111)
sage: t = numpy.arange(0.0, 2.0, 0.01)
sage: s = numpy.sin(2*numpy.pi*t)
sage: line=ax.plot(t, s)
sage:
formatter=SelectiveFormatter(ax.xaxis.get_major_formatter(),skip_values=[0,1])
sage: ax.xaxis.set_major_formatter(formatter)
sage: fig.savefig(os.path.join(SAGE_TMP, 'test.png'))
"""
def __init__(self, formatter,skip_values):
"""
Initialize a SelectiveFormatter object.
INPUT:
- formatter -- the formatter object to which we should pass labels
- skip_values -- a list of values that we should skip when
formatting the tick labels
EXAMPLES::
sage: from sage.plot.plot import SelectiveFormatter
sage: import matplotlib.pyplot as plt
sage: import numpy
sage: fig=plt.figure()
sage: ax=fig.add_subplot(111)
sage: t = numpy.arange(0.0, 2.0, 0.01)
sage: s = numpy.sin(2*numpy.pi*t)
sage: line=ax.plot(t, s)
sage:
formatter=SelectiveFormatter(ax.xaxis.get_major_formatter(),skip_values=[0,1])
sage: ax.xaxis.set_major_formatter(formatter)
sage: fig.savefig(os.path.join(SAGE_TMP, 'test.png'))
"""
self.formatter=formatter
self.skip_values=skip_values
def set_locs(self, locs):
"""
Set the locations for the ticks that are not skipped.
EXAMPLES::
sage: from sage.plot.plot import SelectiveFormatter
sage: import matplotlib.ticker
sage:
formatter=SelectiveFormatter(matplotlib.ticker.Formatter(),skip_values=[0,200])
sage: formatter.set_locs([i*100 for i in range(10)])
"""
self.formatter.set_locs([l for l in locs if l not in self.skip_values])
def __call__(self, x, *args, **kwds):
"""
Return the format for tick val *x* at position *pos*
EXAMPLES::
sage: from sage.plot.plot import SelectiveFormatter
sage: import matplotlib.ticker
sage:
formatter=SelectiveFormatter(matplotlib.ticker.FixedFormatter(['a','b']),skip_values=[0,2])
sage: [formatter(i,1) for i in range(10)]
['', 'b', '', 'b', 'b', 'b', 'b', 'b', 'b', 'b']
"""
if x in self.skip_values:
return ''
else:
return self.formatter(x, *args, **kwds)
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