def histogram(a, bins=10, range=None, normed=False, weights=None, new=None): #@ReservedAssignment
'''Histogram of input'''
if normed or weights or new:
raise ValueError, 'Option not supported yet'
h = None
if range is None:
h = _histo(bins)
elif len(range) != 2:
raise ValueError, 'Need two values in range'
else:
h = _histo(bins, range[0], range[1])
from jycore import asDatasetList as _asList
return h.value(_asList(a))
def histogram(a,
bins=10,
range=None,
normed=False,
weights=None,
density=None): #@ReservedAssignment
'''Histogram of input'''
if normed or density:
raise ValueError("Option not supported yet")
if isinstance(bins, str):
raise ValueError("bin string option not supported yet")
if not isinstance(bins, int):
bins = _asarray(bins)._jdataset()
h = _histo(bins)
if range is not None:
if len(range) != 2:
raise ValueError("Need two values in range")
h.setMinMax(range[0], range[1])
if weights is not None:
h.setWeights(_asarray(weights)._jdataset())
if not isinstance(a, _ds):
a = _asarray(a)._jdataset()
return h.value(a)
def histogram(a,
bins=10,
range=None,
normed=False,
weights=None,
new=None): #@ReservedAssignment
'''Histogram of input'''
if normed or weights or new:
raise ValueError, "Option not supported yet"
h = None
if range is None:
h = _histo(bins)
elif len(range) != 2:
raise ValueError, "Need two values in range"
else:
h = _histo(bins, range[0], range[1])
from jycore import asDatasetList as _asList
return h.value(_asList(a))
def histogram(a, bins=10, range=None, normed=False, weights=None, density=None): #@ReservedAssignment
'''Histogram of input'''
if normed or weights or density:
raise ValueError, "Option not supported yet"
if isinstance(bins, str):
raise ValueError, "bin string option not supported yet"
h = None
if range is None:
if not isinstance(bins, int):
bins = _asarray(bins)._jdataset()
h = _histo(bins)
elif len(range) != 2:
raise ValueError, "Need two values in range"
else:
h = _histo(bins, range[0], range[1])
if not isinstance(a, _ds):
a = _asarray(a)._jdataset()
return h.value(a)