我正在尝试根据值将数据分为几类。因此，高于 -25 的值被指定为熊级别 0，依此类推。但是当我查看数据时，我可以看到有低于 -25 的值被指定为熊级别 0。所有类别都是如此。###############################################################Bear_level = ['high', 'medium-high', 'medium', 'medium-low', 'low', 'very-low']Level=[]for value in data_shifted[k]['SCI300max [um]']:    if value >= -25:        Level.append(Bear_level[0])    elif value < -25 and value >= -50:        Level.append(Bear_level[1])    elif value < -50 and value >= -75:        Level.append(Bear_level[2])    elif value < -75 and value >= -100:        Level.append(Bear_level[3])    elif value < -100 and value >= -150:        Level.append(Bear_level[4])    else:        Level.append(Bear_level[5])Amount = 0for i in Bear_level:    for m in range(int(len(Level))):        if Level[m] ==i:            Amount += 1    print(Amount)    Amount = 0    for k in data_shifted:    data_shifted[k]['Bear Level']= Leveldata_interp={k:[] for k in progression}   for k in data_interp:    data_interp[k]=data_shifted[k][['Chainage [m]', 'Driving Speed [m/s]', 'Latitude', 'Longitude', 'Road temperature [C]', 'Air temperature [C]','Temp corrected Bells2_50','Load Left [kg]','Load Right [kg]', 'Dmax [um]', 'D0 [um]', 'D300 [um]', 'D600 [um]', 'D900 [um]', 'D1200 [um]', 'D1500 [um]', 'SCI300max [um]','SCI300 [um]','SCI300diff [um]', 'SCI600max [um]','SCI600 [um]', 'SCI900max [um]','SCI900 [um]', 'SCI600max-SCI300max [um]', 'SCI900max-SCI600max [um]','speedfilter', 'Bear Level', 'Traffic [ESALs x day]', 'Layer1 Thickness [m]']]    data_interp[k]= data_interp[k][data_interp[k]['speedfilter']=='Pass']    我希望有人能够看到问题，因为我迷失了想法。