malib.py 文件源码

def sliding_window_padded(a, ws, ss=(1,1), flatten=True):
    colpad = ws[0]/2
    col_a = np.empty((a.shape[0],colpad))
    col_a[:] = np.nan
    a = np.column_stack([col_a, a, col_a])
    rowpad = ws[1]/2
    row_a = np.empty((rowpad, a.shape[1]))
    row_a[:] = np.nan
    a = np.row_stack([row_a, a, row_a])
    return sliding_window(a, ws, ss, flatten) 

#From http://www.johnvinyard.com/blog/?p=268