def _get_plottable(self):
# If log scale is set, only pos data will be returned
x, y = self._x, self._y
try: logx = self._transform.get_funcx().get_type()==LOG10
except RuntimeError: logx = False # non-separable
try: logy = self._transform.get_funcy().get_type()==LOG10
except RuntimeError: logy = False # non-separable
if not logx and not logy:
return x, y
if self._logcache is not None:
waslogx, waslogy, xcache, ycache = self._logcache
if logx==waslogx and waslogy==logy:
return xcache, ycache
Nx = len(x)
Ny = len(y)
if logx: indx = greater(x, 0)
else: indx = ones(len(x))
if logy: indy = greater(y, 0)
else: indy = ones(len(y))
ind = nonzero(logical_and(indx, indy))
x = take(x, ind)
y = take(y, ind)
self._logcache = logx, logy, x, y
return x, y
def _get_numeric_clipped_data_in_range(self):
# if the x or y clip is set, only plot the points in the
# clipping region. If log scale is set, only pos data will be
# returned
try:
self._xc, self._yc
except AttributeError:
x, y = self._x, self._y
else:
x, y = self._xc, self._yc
try:
logx = self._transform.get_funcx().get_type() == LOG10
except RuntimeError:
logx = False # non-separable
try:
logy = self._transform.get_funcy().get_type() == LOG10
except RuntimeError:
logy = False # non-separable
if not logx and not logy:
return x, y
if self._logcache is not None:
waslogx, waslogy, xcache, ycache = self._logcache
if logx == waslogx and waslogy == logy:
return xcache, ycache
Nx = len(x)
Ny = len(y)
if logx:
indx = greater(x, 0)
else:
indx = ones(len(x))
if logy:
indy = greater(y, 0)
else:
indy = ones(len(y))
ind = nonzero(logical_and(indx, indy))
x = take(x, ind)
y = take(y, ind)
self._logcache = logx, logy, x, y
return x, y
def hard(data, value, substitute=0):
mvalue = -value
cond = numerix.less(data, value)
cond &= numerix.greater(data, mvalue)
return numerix.where(cond, substitute, data)
def hard(data, value, substitute=0):
mvalue = -value
cond = numerix.less(data, value)
cond &= numerix.greater(data, mvalue)
return numerix.where(cond, substitute, data)
def _get_numeric_clipped_data_in_range(self):
# if the x or y clip is set, only plot the points in the
# clipping region. If log scale is set, only pos data will be
# returned
try:
self._xc, self._yc
except AttributeError:
x, y = self._x, self._y
else:
x, y = self._xc, self._yc
try:
logx = self._transform.get_funcx().get_type() == LOG10
except RuntimeError:
logx = False # non-separable
try:
logy = self._transform.get_funcy().get_type() == LOG10
except RuntimeError:
logy = False # non-separable
if not logx and not logy:
return x, y
if self._logcache is not None:
waslogx, waslogy, xcache, ycache = self._logcache
if logx == waslogx and waslogy == logy:
return xcache, ycache
Nx = len(x)
Ny = len(y)
if logx: indx = greater(x, 0)
else: indx = ones(len(x))
if logy: indy = greater(y, 0)
else: indy = ones(len(y))
ind = nonzero(logical_and(indx, indy))
x = take(x, ind)
y = take(y, ind)
self._logcache = logx, logy, x, y
return x, y
def soft(data, value, substitute=0):
mvalue = -value
cond_less = numerix.less(data, value)
cond_greater = numerix.greater(data, mvalue)
data = numerix.where(cond_less & cond_greater, substitute, data)
data = numerix.where(cond_less, data + value, data)
data = numerix.where(cond_greater, data - value, data)
return data
def soft(data, value, substitute=0):
mvalue = -value
cond_less = numerix.less(data, value)
cond_greater = numerix.greater(data, mvalue)
data = numerix.where(cond_less & cond_greater, substitute, data)
data = numerix.where(cond_less, data + value, data)
data = numerix.where(cond_greater, data - value, data)
return data
def less(data, value, substitute=0):
return numerix.where(numerix.greater(data, value), substitute, data)
def less(data, value, substitute=0):
return numerix.where(numerix.greater(data, value), substitute, data)
