# ---
# jupyter:
#   jupytext:
#     text_representation:
#       extension: .py
#       format_name: light
#       format_version: '1.5'
#       jupytext_version: 1.14.4
#   kernelspec:
#     display_name: Python [conda env:mdd] *
#     language: python
#     name: conda-env-mdd-py
# ---

# + jupyter={"outputs_hidden": false}
import numpy as np
import matplotlib.pyplot as plt
# %matplotlib inline

from scipy.fftpack import fft
# Number of samplepoints
N = 600
# sample spacing
T = 1.0 / 800.0
x = np.linspace(0.0, N*T, N)
y = np.sin(50.0 * 2.0*np.pi*x) + 0.5*np.sin(80.0 * 2.0*np.pi*x)
yf = fft(y)

halfN = np.int(N/2)

xf = np.linspace(0.0, 1.0/(2.0*T), halfN)
import matplotlib.pyplot as plt
plt.plot(xf, 2.0/N * np.abs(yf[0:halfN]))
plt.grid()
plt.show()

# + jupyter={"outputs_hidden": false}
plt.figure()
plt.plot(x,y)
plt.plot(x,0.7*np.sin(50.0 * 2.0*np.pi*x) + 0.5*np.sin(80.0 * 2.0*np.pi*x),'r')

# + jupyter={"outputs_hidden": false}
from scipy.signal.windows import hann
w = hann(N)
ywf = fft(y*w)
plt.figure()
plt.plot(xf[1:halfN], 2.0/N * np.abs(yf[1:halfN]), '-b')
plt.plot(xf[1:halfN], np.sqrt(8/3)*2.0/N * np.abs(ywf[1:halfN]), '-r')
plt.legend(['FFT', 'FFT w. window'])
plt.grid()
plt.show()

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