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import numpy as np | |
import pylab as pl | |
from numpy import fft | |
def fourierExtrapolation(x, n_predict): | |
n = x.size | |
n_harm = 10 # number of harmonics in model | |
t = np.arange(0, n) | |
p = np.polyfit(t, x, 1) # find linear trend in x | |
x_notrend = x - p[0] * t # detrended x |
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import math | |
from dbfpy import dbf | |
import matplotlib.pyplot as plt | |
#create a plot | |
fig = plt.figure(1, figsize = [10,10], dpi=90) | |
axScatter = plt.subplot(111) | |
def candMedian(dataPoints): | |
#Calculate the first candidate median as the geometric mean |