25 lines
649 B
Python
25 lines
649 B
Python
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#!/usr/bin/python
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# -*- coding: utf8 -*-
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import numpy as np
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import pandas as pd
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import matplotlib as plt
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import matplotlib.pyplot as plt
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from pyFTS.common import Transformations
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def residuals(targets, forecasts, order=1):
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return np.array(targets[order:]) - np.array(forecasts[:-order])
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def plotResiduals(targets, forecasts, order=1, tam=[8, 8]):
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res = residuals(targets,forecasts,order)
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fig = plt.figure(figsize=tam)
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ax1 = fig.add_axes([0, 1, 0.9, 0.3]) # left, bottom, width, height
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ax1.plot(res)
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ax2 = fig.add_axes([0, 0.65, 0.9, 0.3])
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ax2.acorr(res)
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ax3 = fig.add_axes([0, 0.3, 0.9, 0.3])
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ax3.hist(res)
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