Computing FFT on hand tremor signal in Python

import csv


import numpy as np
#import scipy as sy
#import scipy.fftpack as syfp
#import pylab as pyl

with open('C:\Users\Sharvari Inamdar\Desktop\F0005CH1.CSV') as csvfile:
    spamreader=csv.reader(csvfile,delimiter=' ',quotechar='|')
    for row in spamreader:
        print(', '.join(row))

#Read in data from file here
array=np.loadtxt("C:\Users\Sharvari Inamdar\Desktop\F0005CH1.CSV")


from scipy.fftpack import fft
 # Number of sample points
N = len(array)
# sample spacing

T=1.0/N

x = np.linspace(0.0, 2*np.pi*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(array)
xf = np.linspace(0.0, 1.0/(2.0*T), N/2)
import matplotlib.pyplot as plt
plt.plot(xf, 2.0/N * np.abs(yf[0:N/2]))
plt.grid()
plt.show()

import csv
import numpy as np
import pylab as pyl

with open('C:\Users\Sharvari Inamdar\Desktop\F0005CH1.CSV') as csvfile:
    spamreader=csv.reader(csvfile,delimiter=' ',quotechar='|')
    for row in spamreader:
        print(', '.join(row))
        
#Read in data from file here
array=np.loadtxt("C:\Users\Sharvari Inamdar\Desktop\F0005CH1.CSV")

Ts=1.00E-03;
Fs=1/Ts;
Fn=Fs/2;


#np.isnan(array)=[]
#Ly1=array.shape
N=len(array)
T=np.linspace(0,1,N)*Ts

#pyl.plot(T,array)
from scipy.fftpack import fft
FF=fft(array/N);

#Fv=np.linspace(0,1,np.fix(N/2)+1)*Fn;
#Iv=len(Fv)
pyl.plot(T,FF)