Creates a range of values for a specific dimension that go from its minimum to its 
            maximum either in certain steps (resolution != None) or a fixed number of bins 
            (bins != None). The output can be converted into a different unit (eg. into 'seconds').

            bins=None
            units=None
            conversion_function=convert_time
            resolution=None

            .. note::

                Discrete Labels (units='1') will behave differently than continuous Labels (units='1.0' or 's' etc.)
                To emulate the discrete behaviour, you can pass `end_at_end=False` to the function,
                The default behaviour is continuous if `units != '1'` (that is the output units if specified).

                A linspace from 0...5 will give 0, 1, 2, 3, 4, 5 (6 steps) for a discrete variable while
                a continuous variable will be split into: 0.0-1.0,1.0-2.0,2.0-3.0,3.0-4.0,4.0-5.0
                in 5 bins (at a resolution of 1.0).

def linspace(self,dim,*args,**kwargs):
        """
            Creates a range of values for a specific dimension that go from its minimum to its 
            maximum either in certain steps (resolution != None) or a fixed number of bins 
            (bins != None). The output can be converted into a different unit (eg. into 'seconds').

            bins=None
            units=None
            conversion_function=convert_time
            resolution=None

            .. note::

                Discrete Labels (units='1') will behave differently than continuous Labels (units='1.0' or 's' etc.)
                To emulate the discrete behaviour, you can pass `end_at_end=False` to the function,
                The default behaviour is continuous if `units != '1'` (that is the output units if specified).

                A linspace from 0...5 will give 0, 1, 2, 3, 4, 5 (6 steps) for a discrete variable while
                a continuous variable will be split into: 0.0-1.0,1.0-2.0,2.0-3.0,3.0-4.0,4.0-5.0
                in 5 bins (at a resolution of 1.0).
        """
        return self.spike_times.get_label(dim).linspace(*args,**kwargs)