问学习问题:在进行回归时发现样本数不一致的数组

EN

import sklearn.linear_model as lm
import numpy as np
import scipy.stats as st
import matplotlib.pyplot as plt
import matplotlib.dates as mdates


def bytespdate2num(fmt, encoding='utf-8'):#function to convert bytes to string for the dates.
    strconverter = mdates.strpdate2num(fmt)
    def bytesconverter(b):
        s = b.decode(encoding)
        return strconverter(s)
    return bytesconverter

dataCSV = open('combined_data.csv')

comb_data = []

for line in dataCSV:
    comb_data.append(line)

date, chngdpchange, ausgdpchange = np.loadtxt(comb_data, delimiter=',', unpack=True, converters={0: bytespdate2num('%d/%m/%Y')})


chntrain = chngdpchange[:-1]
chntest = chngdpchange[-1:]

austrain = ausgdpchange[:-1]
austest = ausgdpchange[-1:]

regr = lm.LinearRegression()
regr.fit(chntrain, austrain)

print('Coefficients: \n', regr.coef_)

print("Residual sum of squares: %.2f"
      % np.mean((regr.predict(chntest) - austest) ** 2))

print('Variance score: %.2f' % regr.score(chntest, austest))

plt.scatter(chntest, austest,  color='black')
plt.plot(chntest, regr.predict(chntest), color='blue')

plt.xticks(())
plt.yticks(())

plt.show()

Traceback (most recent call last):
  File "D:\My Stuff\Dropbox\Python\Python projects\test regression\tester.py", line 34, in <module>
    regr.fit(chntrain, austrain)
  File "D:\Programs\Installed\Python34\lib\site-packages\sklearn\linear_model\base.py", line 376, in fit
    y_numeric=True, multi_output=True)
  File "D:\Programs\Installed\Python34\lib\site-packages\sklearn\utils\validation.py", line 454, in check_X_y
    check_consistent_length(X, y)
  File "D:\Programs\Installed\Python34\lib\site-packages\sklearn\utils\validation.py", line 174, in check_consistent_length
    "%s" % str(uniques))
ValueError: Found arrays with inconsistent numbers of samples: [  1 107]