def rebinby(self, axis, factor):
if not isinstance(factor, (numbers.Integral, numpy.integer)) or factor <= 0:
raise TypeError("factor must be a positive integer")
if not isinstance(axis, histbook.axis.Axis):
expr = histbook.expr.Expr.parse(axis, defs=self._defs)
for x in self._group + self._fixed:
if isinstance(x, histbook.axis.RebinFactor) and expr == x._parsed:
axis = x
break
for index, x in enumerate(self._group + self._fixed):
if isinstance(x, histbook.axis.RebinFactor) and axis == x:
axis = x
break
else:
raise IndexError("no such rebinnable axis: {0}".format(axis))
if isinstance(axis, histbook.axis.GroupAxis):
newaxis, newcontent = axis._rebinsplit(factor, self._content, index)
else:
newaxis, newcontent = axis._rebinsplit(factor, self._content, index - len(self._group))
outaxis = [newaxis if i == index else x for i, x in enumerate(self._group + self._fixed + self._profile)]
out = self.__class__(*outaxis, weight=self._weight, defs=self._defs)
out._content = newcontent
return out
def rebinby(self, axis, factor):
"""
Reduce the number of bins by an approximate ``factor`` by combining existing bins.
Parameters
----------
axis : :py:class:`Axis <histbook.axis.Axis>`, algebraic expression (string), or index position (integer)
the axis to rebin
factor : positive integer
number of bins to combine into a single bin (inexact if the number of bins in ``axis`` is not an exact multiple of ``factor``)
Returns
-------
:py:class:`Hist <histbook.hist.Hist>`
a rebinned histogram.
"""
if not isinstance(factor,
(numbers.Integral, numpy.integer)) or factor <= 0:
raise TypeError("factor must be a positive integer")
if not isinstance(axis, histbook.axis.Axis):
expr = histbook.expr.Expr.parse(axis, defs=self._defs)
for x in self._group + self._fixed:
if isinstance(
x, histbook.axis._RebinFactor) and expr == x._parsed:
axis = x
break
for index, x in enumerate(self._group + self._fixed):
if isinstance(x, histbook.axis._RebinFactor) and axis == x:
axis = x
break
else:
raise IndexError("no such rebinnable axis: {0}".format(axis))
if isinstance(axis, histbook.axis.GroupAxis):
newaxis, newcontent = axis._rebinsplit(factor, self._content,
index)
else:
newaxis, newcontent = axis._rebinsplit(factor, self._content,
index - len(self._group))
outaxis = [
newaxis if i == index else x
for i, x in enumerate(self._group + self._fixed + self._profile)
]
out = self.__class__(*outaxis,
weight=self._weightoriginal,
filter=self._filteroriginal,
defs=dict(self._defs),
attachment=dict(self._attachment))
out._content = newcontent
return out
def rebin(self, axis, edges):
"""
Reduce the number of bins by combining existing bins at a specified set of ``edges``.
Parameters
----------
axis : :py:class:`Axis <histbook.axis.Axis>`, algebraic expression (string), or index position (integer)
the axis to rebin
edges : iterable of numbers
new bin edges; must be a subset of existing bin edges
Returns
-------
:py:class:`Hist <histbook.hist.Hist>`
a rebinned histogram.
"""
if not isinstance(axis, histbook.axis.Axis):
expr = histbook.expr.Expr.parse(axis, defs=self._defs)
for x in self._group + self._fixed:
if isinstance(x,
histbook.axis._RebinSplit) and expr == x._parsed:
axis = x
break
for index, x in enumerate(self._group + self._fixed):
if isinstance(x, histbook.axis._RebinSplit) and axis == x:
axis = x
break
else:
raise IndexError("no such rebinnable axis: {0}".format(axis))
if isinstance(axis, histbook.axis.GroupAxis):
newaxis, newcontent = axis._rebinsplit(edges, self._content, index)
else:
newaxis, newcontent = axis._rebinsplit(edges, self._content,
index - len(self._group))
outaxis = [
newaxis if i == index else x
for i, x in enumerate(self._group + self._fixed + self._profile)
]
out = self.__class__(*outaxis,
weight=self._weightoriginal,
filter=self._filteroriginal,
defs=dict(self._defs),
attachment=dict(self._attachment))
out._content = newcontent
return out
def rebin(self, axis, edges):
if not isinstance(axis, histbook.axis.Axis):
expr = histbook.expr.Expr.parse(axis, defs=self._defs)
for x in self._group + self._fixed:
if isinstance(x, histbook.axis.RebinSplit) and expr == x._parsed:
axis = x
break
for index, x in enumerate(self._group + self._fixed):
if isinstance(x, histbook.axis.RebinSplit) and axis == x:
axis = x
break
else:
raise IndexError("no such rebinnable axis: {0}".format(axis))
if isinstance(axis, histbook.axis.GroupAxis):
newaxis, newcontent = axis._rebinsplit(edges, self._content, index)
else:
newaxis, newcontent = axis._rebinsplit(edges, self._content, index - len(self._group))
outaxis = [newaxis if i == index else x for i, x in enumerate(self._group + self._fixed + self._profile)]
out = self.__class__(*outaxis, weight=self._weight, defs=self._defs)
out._content = newcontent
return out