def logspace(start, stop, num=50, endpoint=True, base=10.0):
'''Create a 1D dataset of values equally spaced on a logarithmic scale'''
if complex(start).imag == 0 and complex(stop).imag == 0:
return _dsutils.logSpace(start, stop, num, base, endpoint)
else:
result = linspace(start, stop, num, endpoint)
return _maths.power(base, result)
def logspace(start, stop, num=50, endpoint=True, base=10.0):
'''Create a 1D dataset of values equally spaced on a logarithmic scale'''
if not endpoint:
stop = ((num - 1) * stop + start)/num
if complex(start).imag == 0 and complex(stop).imag == 0:
dtype = _getdtypefromobj(((start, stop)))
return _dsutils.logSpace(start, stop, num, base, dtype.value)
else:
result = linspace(start, stop, num, endpoint)
return _maths.power(base, result)
def logspace(start, stop, num=50, endpoint=True, base=10.0):
'''Create a 1D dataset of values equally spaced on a logarithmic scale'''
if not endpoint:
stop = ((num - 1) * stop + start) / num
if complex(start).imag == 0 and complex(stop).imag == 0:
dtype = _getdtypefromobj(((start, stop)))
return _dsutils.logSpace(start, stop, num, base, dtype.value)
else:
result = linspace(start, stop, num, endpoint)
return _maths.power(base, result)
def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None):
'''Create a 1D dataset of values equally spaced on a logarithmic scale'''
if not endpoint:
stop = ((num - 1) * stop + start)/num
dtype = _translatenativetype(dtype)
if complex(start).imag == 0 and complex(stop).imag == 0:
if dtype is None:
dtype = _getdtypefromobj(((start, stop)))
if dtype.value < float64.value:
dtype = float64
return _df.createLogSpace(start, stop, num, base, dtype.value)
else:
result = linspace(start, stop, num, endpoint, False, dtype)
return _maths.power(base, result)
def __pow__(self, o, z=None):
return _maths.power(self, asDataset(o))
