def coarsen_array(a, level=2, method='mean'):
    """
    Returns a coarsened (binned) version of the data. Currently supports
    any of the numpy array operations, e.g. min, max, mean, std, ...
    
    level=2 means every two data points will be binned.
    level=0 or 1 just returns a copy of the array
    """
    if a is None: return None    
    
    # make sure it's a numpy array
    a = _n.array(a)
    
    # quickest option
    if level in [0,1,False]: return a

    # otherwise assemble the python code to execute
    code = 'a.reshape(-1, level).'+method+'(axis=1)'

    # execute, making sure the array can be reshaped!
    try: return eval(code, dict(a=a[0:int(len(a)/level)*level], level=level))
    except:
        print("ERROR: Could not coarsen array with method "+repr(method))
        return a
Returns a coarsened (binned) version of the data. Currently supports
    any of the numpy array operations, e.g. min, max, mean, std, ...
    
    level=2 means every two data points will be binned.
    level=0 or 1 just returns a copy of the array