import csv
import pandas as pd
import numpy as np
from pandas import DataFrame
import pandas.io.data
import scipy.fftpack
import matplotlib.pyplot as plt

#reader = csv.DictReader(open('SPNTSTB.txt','rt'), delimiter = 't')
Fname = raw_input("Input File Name (Must be modified '.csv' file): ")
print (Fname)
Newname = Fname + 'Scrb.txt'
print ("Scrubbed File in: "), Newname

reader = pd.read_csv(Fname+'.txt', sep = None, engine = 'python')
df = pd.DataFrame(reader)# reader["Gyro_X"].astype(float)
dg = pd.DataFrame(reader)


Timefld = 0
XCol = 1
YCol = 2
ZCol = 3


######################
# Parsing Frame into individual columns
######################

Time_Col = [0]
Samp_X_Col = [0]
Samp2_X_Col = [0]
Samp3_Y_Col = [0]

print 'Parsing'
Time_Col = df.iloc[:,[Timefld]]
Samp_X_Col = df.iloc[:,[XCol]]
Samp2_X_Col = df.iloc[:,[YCol]]
Samp3_Y_Col = df.iloc[:,[ZCol]]


print 'Parsing Complete'


xSignal = Samp_X_Col

# Number of samplepoints
N = 10000
# sample spacing
T = 1.0 / 200.0
yf = scipy.fftpack.rfft(xSignal)
xf = np.linspace(0.0, 1.0/(2.0*T), N/2)

fig, ax = plt.subplots()
#ax.plot(xf, 2.0/N * np.abs(yf[:N//2]))
ax.plot(xf, yf[:N//2])
plt.show()

-0.659912109
-0.636962891
-0.616210938
-0.598876953
-0.574462891
-0.556396484
-0.532470703
-0.533935547
-0.524902344
-0.511962891
-0.536621094
-0.560302734
-0.558837891
-0.585205078
-0.631591797
-0.627929688
-0.632324219
-0.676269531
-0.677734375
-0.651123047