2017-01-20 05:24:44 +04:00
|
|
|
#!/usr/bin/python
|
|
|
|
# -*- coding: utf8 -*-
|
|
|
|
|
|
|
|
import numpy as np
|
|
|
|
import pandas as pd
|
|
|
|
import matplotlib as plt
|
|
|
|
import matplotlib.pyplot as plt
|
2017-01-20 19:49:44 +04:00
|
|
|
from pyFTS.common import Transformations,Util
|
2017-01-20 05:24:44 +04:00
|
|
|
|
|
|
|
|
|
|
|
def residuals(targets, forecasts, order=1):
|
|
|
|
return np.array(targets[order:]) - np.array(forecasts[:-order])
|
|
|
|
|
|
|
|
|
2017-01-20 19:49:44 +04:00
|
|
|
def plotResiduals(targets, forecasts, order=1, tam=[8, 8], save=False, file=None):
|
2017-01-20 05:24:44 +04:00
|
|
|
res = residuals(targets,forecasts,order)
|
|
|
|
fig = plt.figure(figsize=tam)
|
|
|
|
ax1 = fig.add_axes([0, 1, 0.9, 0.3]) # left, bottom, width, height
|
|
|
|
ax1.plot(res)
|
|
|
|
ax2 = fig.add_axes([0, 0.65, 0.9, 0.3])
|
|
|
|
ax2.acorr(res)
|
|
|
|
ax3 = fig.add_axes([0, 0.3, 0.9, 0.3])
|
|
|
|
ax3.hist(res)
|
|
|
|
|
2017-01-20 19:49:44 +04:00
|
|
|
Util.showAndSaveImage(fig, file, save)
|
|
|
|
|