def _add_data_and_errors(self, data, errors ):
#check sanity
#1. check shape
if errors is not None and data.shape() != errors.shape():
msg = "Incompatible shapes between data (%s) and errors (%s)" % (
data.shape(), errors.shape())
raise IndexError, msg
shape = tuple(self.__shapeFromAxes())
dshape = tuple(data.shape())
assert shape == dshape, \
"shape mismatch: data shape %s, axes shape %s" % (
dshape, shape )
self._setShape( shape )
#2. check type code
if errors is not None and data.typecode() != errors.typecode():
msg = "Incompatible type codes between data (%s) and errors (%s)" \
% (data.typecode(), errors.typecode())
raise TypeError, msg
self._typeCode = data.typecode()
#3. check unit
unit = tounit( self.unit() )
dunit = tounit( data.unit() )
eunit = dunit*dunit
if errors: eunit = tounit( errors.unit() )
if not _equalUnit( unit, dunit) or not _equalUnit( unit*unit, eunit ):
msg = "Unit mismatch: histogram unit: %r, data unit: %r, "\
"errors unit: %r." % (
unit, dunit, eunit )
raise ValueError, msg
self.addDataset( 'data', data )
self.addDataset( 'error', errors )
self._data = data; self._errors = errors
return
def __init__( self, name = '', data = None, errors = None,
axes = [], attributes = None, unit = '1', **kwds):
"""Histogram( name, data, errors, axes, attributes) -> new Histogram
Create a new histogram instance.
Inputs:
name: name of histogram (string)
data: dataset (implements DatasetBase)
errors: dataset (implements DatasetBase)
axes: list of Axes objects (implements Axis)
attributes: optional dictionary of user-defined attributes
Output:
None
Exceptions: IndexError, TypeError
Notes: (1) IndexError if data and errors don't have same shape
(2) TypeError if data and errors don't have same type"""
# whether the histogram is a slice (reference not copy) of another histogram
self._isslice = kwds.get('isslice') or False
if attributes is None: attributes = dict()
AttributeCont.__init__( self, attributes)
self.setAttribute( 'name', name)
self.setAttribute( 'unit', tounit(unit) )
from DatasetContainer import DatasetContainer as DC
self._axisCont = DC()
for i, axis in enumerate( axes):
axNum = i + 1 #by default axes ids are 1,2,3,...
self._axisCont.addDataset( axis.name(), axNum, axis)
continue
if len(axes) == 1: self._axis = axes[0]
self._lastDatasetID = 0
self._dataCont = DC()
if data is None: raise ValueError, "No data provided"
self._add_data_and_errors( data, errors )
return