I am currently working on a project where I must analyze data and find a period for the graph. The data contains outliers. I need a function that will make a line of best fit for the function.
I attempted to simply get a sin graph on the plot, but I could not even do that. Can anyone give me a starting hint?
import os
import pyfits as fits
import numpy as np
import pylab
import random
import scipy.optimize
import scipy.signal
from numpy import arange
from matplotlib import pyplot
from scipy.optimize import curve_fit
filename = 'C:\Users\Ken Preiser\Desktop\Space thing\Snapshots\BAT_70m_snapshot_SWIFT_J1647.9-4511B.lc'
namePortion = filename[-39:]
hdulist = fits.open(filename, 'readonly', None, False) #{unpacks file) name, mode, memorymap, savebackup
data = hdulist[1].data
datapoints = 23310
def sinfunc(a, b, c): #I tried graphing a sinfunction, but it did not work...
return a*np.sin(bx-c)
time = data.field('TIME')
time = time / 86400.0
timeViewingThreshold = 10
rateViewingThreshold = .01
rate = np.sum(data['RATE'][:,:4], axis=1)
average = np.sum(rate)/23310
error = data.field('ERROR')
error = np.sqrt(np.sum(data['ERROR'][:,:4]**2, axis=1))
print rate.size,(", rate")
print time.size,(", time")
fig = pylab.figure()
ax = fig.add_subplot(111)
ax.set_xlabel('Time')
ax.set_ylabel('Rate')
ax.set_title('Rate vs Time graph: ' + namePortion)
pylab.plot(time, rate, 'o')
pyplot.xlim(min(time) - timeViewingThreshold, max(time) + timeViewingThreshold)
pyplot.ylim(min(rate) - rateViewingThreshold, max(rate) + rateViewingThreshold)
ax.errorbar(time, rate, xerr=0, yerr=error)
pylab.show()
(the outputs) https://i.stack.imgur.com/WYGgj.jpg