chx_correlationc.py 文件源码

def check_normalization( frame_num, q_list, imgsa, data_pixel ):
    '''check the ROI intensity before and after normalization
    Input:
        frame_num: integer, the number of frame to be checked
        q_list: list of integer, the list of q to be checked
        imgsa: the raw data
        data_pixel: the normalized data, caculated by fucntion  Get_Pixel_Arrayc
    Plot the intensities    
    '''
    fig,ax=plt.subplots(2)
    n=0
    for q in q_list:
        norm_data = data_pixel[frame_num][qind==q]
        raw_data = np.ravel( np.array(imgsa[frame_num]) )[pixelist[qind==q]]
        #print(raw_data.mean())
        plot1D( raw_data,ax=ax[0], legend='q=%s'%(q), m=markers[n],
               title='fra=%s_raw_data'%(frame_num))

        #plot1D( raw_data/mean_int_sets_[frame_num][q-1], ax=ax[1], legend='q=%s'%(q), m=markers[n],
        #       xlabel='pixel',title='fra=%s_norm_data'%(frame_num))
        #print( mean_int_sets_[frame_num][q-1] )
        plot1D( norm_data, ax=ax[1], legend='q=%s'%(q), m=markers[n],
               xlabel='pixel',title='fra=%s_norm_data'%(frame_num))
        n +=1