modules/cij/xlsx.py
def generate_rt_pic(process_data, para_meter, scale):
    """ generate rater pic"""
    pic_path = para_meter['filename'] + '.png'
    plt.figure(figsize=(5.6 * scale, 3.2 * scale))
    for key in process_data.keys():
        plt.plot(process_data[key][:, 0], process_data[key][:, 1], label=str(key))
    plt.title(para_meter['title'])
    plt.xlabel(para_meter['x_axis_name'])
    plt.ylabel(para_meter['y_axis_name'])
    plt.legend(loc='upper left')
    plt.savefig(pic_path)
    return pic_path
def generate_rt_pic(process_data, para_meter, scale):
    """ generate rater pic"""
    pic_path = para_meter['filename'] + '.png'
    plt.figure(figsize=(5.6 * scale, 3.2 * scale))
    for key in process_data.keys():
        plt.plot(process_data[key][:, 0], process_data[key][:, 1], label=str(key))
    plt.title(para_meter['title'])
    plt.xlabel(para_meter['x_axis_name'])
    plt.ylabel(para_meter['y_axis_name'])
    plt.legend(loc='upper left')
    plt.savefig(pic_path)
    return pic_path
def generate_rt_pic ( process_data , para_meter , scale ) : pic_path = para_meter [ 'filename' ] + '.png' plt . figure ( figsize = ( 5.6 * scale , 3.2 * scale ) ) for key in process_data . keys ( ) : plt . plot ( process_data [ key ] [ : , 0 ] , process_data [ key ] [ : , 1 ] , label = str ( key ) ) plt . title ( para_meter [ 'title' ] ) plt . xlabel ( para_meter [ 'x_axis_name' ] ) plt . ylabel ( para_meter [ 'y_axis_name' ] ) plt . legend ( loc = 'upper left' ) plt . savefig ( pic_path ) return pic_path
generate rater pic
generate rater pic