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Implements a new version of symlog that is smooth around linthresh #481

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3 changes: 2 additions & 1 deletion doc/users/whats_new.rst
Expand Up @@ -181,7 +181,8 @@ Other improvements
* :meth:`~matplotlib.pyplot.scatter` now accepts empty inputs.

* The behavior for 'symlog' scale has been fixed, but this may result
in some minor changes to existing plots.
in some minor changes to existing plots. This work was refined by
ssyr.

* Peter Butterworth added named figure support to
:func:`~matplotlib.pyplot.figure`.
Expand Down
2 changes: 1 addition & 1 deletion examples/pylab_examples/symlog_demo.py
Expand Up @@ -21,7 +21,7 @@
subplot(313)
plot(x, np.sin(x / 3.0))
xscale('symlog')
yscale('symlog')
yscale('symlog', linthreshy=0.015)
grid(True)
ylabel('symlog both')

Expand Down
70 changes: 31 additions & 39 deletions lib/matplotlib/scale.py
Expand Up @@ -312,58 +312,50 @@ class SymmetricalLogScale(ScaleBase):
name = 'symlog'

class SymmetricalLogTransform(Transform):
input_dims = 1
output_dims = 1
is_separable = True

def __init__(self, base, linthresh):
Transform.__init__(self)
self.base = base
self.linthresh = linthresh
self._log_base = np.log(base)
self._linadjust = (np.log(linthresh) / self._log_base) / linthresh

def transform(self, a):
sign = np.sign(a)
masked = ma.masked_inside(a, -self.linthresh, self.linthresh, copy=False)
log = sign * self.linthresh * (1 + ma.log(np.abs(masked) / self.linthresh))
if masked.mask.any():
return ma.where(masked.mask, a, log)
else:
return log

def inverted(self):
return SymmetricalLogScale.InvertedSymmetricalLogTransform(self.base, self.linthresh)

class InvertedSymmetricalLogTransform(Transform):
input_dims = 1
output_dims = 1
is_separable = True

def __init__(self, base, linthresh):
Transform.__init__(self)
self.base = base
self.linthresh = abs(linthresh)
self.linthresh = linthresh
self._log_base = np.log(base)
logb_linthresh = np.log(linthresh) / self._log_base
self._linadjust = 1.0 - logb_linthresh
self._linscale = 1.0 / linthresh
self._log_linthresh = np.log(linthresh) / self._log_base
self._linadjust = linthresh / (np.log(linthresh) / self._log_base)

def transform(self, a):
a = np.asarray(a)
sign = np.sign(a)
masked = ma.masked_inside(a, -self.linthresh, self.linthresh, copy=False)
exp = sign * self.linthresh * ma.exp(sign * masked / self.linthresh - 1)
if masked.mask.any():
log = sign * (ma.log(np.abs(masked)) / self._log_base + self._linadjust)
return np.asarray(ma.where(masked.mask, a * self._linscale, log))
return ma.where(masked.mask, a, exp)
else:
return sign * (np.log(np.abs(a)) / self._log_base + self._linadjust)

def inverted(self):
return SymmetricalLogScale.InvertedSymmetricalLogTransform(
self.base, self.linthresh)

class InvertedSymmetricalLogTransform(Transform):
input_dims = 1
output_dims = 1
is_separable = True

def __init__(self, base, linthresh):
Transform.__init__(self)
self.base = base
self.linthresh = linthresh
log_base = np.log(base)
logb_linthresh = np.log(linthresh) / log_base
self._linadjust = 1.0 - logb_linthresh

def transform(self, a):
a = np.asarray(a)
sign = np.sign(a)
masked = ma.masked_inside(a, -1.0, 1.0, copy=False)
result = np.where((a >= -1.0) & (a <= 1.0),
a * self.linthresh,
sign * np.power(self.base, np.abs(a - sign * self._linadjust)))
return result

def inverted(self):
return SymmetricalLogScale.SymmetricalLogTransform(
self.base, self.linthresh)
return exp

def __init__(self, axis, **kwargs):
"""
Expand Down Expand Up @@ -395,7 +387,7 @@ def __init__(self, axis, **kwargs):

assert base > 0.0
assert linthresh > 0.0

self.base = base
self.linthresh = linthresh
self.subs = subs
Expand Down
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