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%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import numpy.random as rndm



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#This is fake data representing a time series
t = np.linspace(0,100,1000)
signal = rndm.randn(1000)+10.

i = 0
while (i < 50):
    signal[rndm.randint(0,999)] += 30.
    i += 1


plt.plot(t,signal)
plt.show()

plt.plot(t[np.where(signal<15.)],signal[np.where(signal<15.)])
plt.show()



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#Creating output text file for time series
outArray = np.array([t,signal])
np.savetxt('./lecture2_data/timeseries_data.txt',outArray)