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Main_process.py
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Main_process.py
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#!/usr/bin/env python
import os,sys
import string
import numpy as np
import scipy as scp
import matplotlib
#matplotlib.use('PS')
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
#from matplotlib.backends.backend_pdf import PdfPages
import cmath
import sync
from Jana_Functions import *
# _____ __ __ _
# / ___/___ / /_/ /_(_)___ ____ ______
# \__ \/ _ \/ __/ __/ / __ \/ __ `/ ___/
# ___/ / __/ /_/ /_/ / / / / /_/ (__ )
# /____/\___/\__/\__/_/_/ /_/\__, /____/
# /____/
# settings
# Naming of the files.
tracker_data_files = ["SET1_BP.txt", "SET1_SP.txt"]
tracker_longnames = ["Big Propeller", "Small Propeller"]#, "Base"] #This MUST have the same length as tracker_data_files
length_unit = "mm"
#time that the deceleration occurs, also the when we begin the fft.
#Deceleration = 12.3 #set2
Deceleration = 12.5 #set1
standard_tail_percent = 0.25
color_sequence = ['blueviolet','darkorange','limegreen']
#Switches to turn on and off plots and sections of the analysis
plot2 = True #Time domain sync
plot3 = True #X,Y vibrations
plot4 = True #FFT sync
plot5 = False #FFT phase
endprints = False #I forget what these do.
if len(tracker_data_files) != len(tracker_longnames):
print("ERROR! The lengths of tracker_longnames and tracker_data_files don't match and they have to.")
# _____ __ ________
# / ___// /_________ ____ _____ ___ / ____/ /___ ___________
# \__ \/ __/ ___/ _ \/ __ `/ __ `__ \ / / / / __ `/ ___/ ___/
# ___/ / /_/ / / __/ /_/ / / / / / / / /___/ / /_/ (__ |__ )
# /____/\__/_/ \___/\__,_/_/ /_/ /_/ \____/_/\__,_/____/____/
#
# stream class
class Stream:
def __init__(self, filename, long_name, tail_percent,color = 'magenta'):
self.long_name = long_name
self.color = color
self.i_deceleration = -1
x = []
y = []
z = []
self.t = []
file_handle = open(filename,'r')
n_skipped_lines = 0
for line in file_handle.readlines(): # Read text file by lines
words = line.strip().split() # Splitting lines to separate numbers ("words")
if len(words) < 3:
n_skipped_lines = n_skipped_lines+1
continue
x.append( float(words[0]))
y.append( float(words[1]))
z.append( float(words[2]))
self.t.append( float(words[3]))
if n_skipped_lines > 3:
print("warning: skipping a lot of lines (",n_skipped_lines,") while loading ",filename)
file_handle.close() # Closing the file
#normalize coords and save those.
self.x_norm = np.array(x) - mean_end(x, tail_percent)
self.y_norm = np.array(y) - mean_end(y, tail_percent)
self.z_norm = np.array(z) - z[0]
def offset_time_series(self,offset):
for i in range(len(self.t)):
self.t[i] += offset
# __ ___ __ _____ __
# / |/ /___ _/ /_____ / ___// /_________ ____ _____ ___ _____
# / /|_/ / __ `/ //_/ _ \ \__ \/ __/ ___/ _ \/ __ `/ __ `__ \/ ___/
# / / / / /_/ / ,< / __/ ___/ / /_/ / / __/ /_/ / / / / / (__ )
# /_/ /_/\__,_/_/|_|\___/ /____/\__/_/ \___/\__,_/_/ /_/ /_/____/
#
print(f"Making Streams")
streams = []
for i in range(len(tracker_data_files)):
streams.append( Stream( filename = tracker_data_files[i], long_name = tracker_longnames[i], tail_percent = standard_tail_percent, color = color_sequence[i]))
if len(tracker_data_files) < 2:
print("WARNING! Less than 2 trackers entered. We need at least 2 to do this analysis")
# _______ __ _______ ____ _ ________
# / ____(_)___ ____/ / /_ __(_)___ ___ ___ / __ \(_) __/ __/____
# / /_ / / __ \/ __ / / / / / __ `__ \/ _ \ / / / / / /_/ /_/ ___/
# / __/ / / / / / /_/ / / / / / / / / / / __/ / /_/ / / __/ __(__ )
# /_/ /_/_/ /_/\__,_/ /_/ /_/_/ /_/ /_/\___/ /_____/_/_/ /_/ /____/
#
# Time difference constants
print(f"Finding time constants")
Time_offsets = []
for i in range(1,len(streams)):
#print(f'streams[i].t, {streams[i].t}')
dt = sync.doSync(streams[0].z_norm, streams[0].t, streams[i].z_norm, streams[i].t) - (streams[0].t[0] - streams[i].t[0])
Time_offsets.append( dt )
streams[i].offset_time_series(dt)
print(f"offset time between ",streams[0].long_name," and ",streams[i].long_name, " is %.6fs"%(dt))
# ____ __ __ _____ ______ __ __ __ ________ __
# / __ \/ /___ / /_ /__ / _ _______ /_ __/ _ _____/ /_ ___ _____/ /__ / /_ ____ / __/ __/_______ / /_
# / /_/ / / __ \/ __/ / / | | / / ___/ / / (_) / ___/ __ \/ _ \/ ___/ //_/ / __/ / __ \/ /_/ /_/ ___/ _ \/ __/
# / ____/ / /_/ / /_ / /__ | |/ (__ ) / / _ / /__/ / / / __/ /__/ ,< / /_ / /_/ / __/ __(__ ) __/ /_
# /_/ /_/\____/\__/ /____/ |___/____/ /_/ ( ) \___/_/ /_/\___/\___/_/|_| \__/ \____/_/ /_/ /____/\___/\__/
# |/
#Plotting the Z components versus Time to check the shift
if plot2:
print(f"plot z's")
plt.figure(2, figsize=(14,5))
for stream in streams:
#print "Healt of stream ",stream.long_name," t size: ", len(stream.t), " z size: ", len(stream.z_norm)
plt.plot(stream.t, stream.z_norm, color=stream.color, linewidth=2, label=stream.long_name)
plt.title('Check of the Z-fit')
plt.ylabel('Normalized Z ['+length_unit+']')
plt.xlabel('Time [s]')
plt.legend()
plt.show()
#plt.savefig('plot_Z_vs_t.png',dpi=600)
# __ ___ _ ___ __ _
# / |/ /___ _(_)___ / | ____ ____ _/ /_ _______(_)____
# / /|_/ / __ `/ / __ \ / /| | / __ \/ __ `/ / / / / ___/ / ___/
# / / / / /_/ / / / / / / ___ |/ / / / /_/ / / /_/ (__ ) (__ )
# /_/ /_/\__,_/_/_/ /_/ /_/ |_/_/ /_/\__,_/_/\__, /____/_/____/
# /____/
# finrd the Index of closest point to the deceleration time of the `op
print(f"find i's of deceleration")
for stream in streams:
stream.i_deceleration = find_nearest(np.array(stream.t),Deceleration)
#FFT's of the measurements from the deceleration leg onward. #probably should do something with these.
print(f"Do FFT")
for stream in streams:
stream.res_x = np.fft.rfft(stream.x_norm[stream.i_deceleration: ])
stream.res_y = np.fft.rfft(stream.y_norm[stream.i_deceleration: ])
print("finding freq's")
for stream in streams:
sample_frequencies = get_sampling_frequencies(stream.t)
stream.freq = get_freq(sample_frequencies, len(stream.x_norm) - stream.i_deceleration)
trunk = []
for stream in streams:
#vstream = sync.Build_Derivative(stream.z_norm, sync.get_sampling_period(stream.t))
trunk.append(stream.i_deceleration)
for i in range(len(streams)):
print(streams[i].long_name, "number of data points: ", len(streams[i].z_norm), " trunk i_deceleration: ", trunk[i])
if plot3:
print(f"plot x,y")
plt.figure(3, figsize=(14,5))
plt.subplot(211)
plt.gca().set_title('X')
for i in range(len(streams)):
plt.plot(streams[i].t[trunk[i]:], streams[i].x_norm[trunk[i]:], color=streams[i].color, linewidth=1, label=streams[i].long_name)
#for stream in streams:
# plt.plot(stream.t, stream.x_norm, color=stream.color, linewidth=1, label=stream.long_name)
plt.ylabel('Normalized X ['+length_unit+']')
plt.subplot(212)
plt.gca().set_title('Y')
for i in range(len(streams)):
plt.plot(streams[i].t[trunk[i]:], streams[i].y_norm[trunk[i]:], color=streams[i].color, linewidth=1, label=streams[i].long_name)
#for stream in streams:
# plt.plot(stream.t, stream.y_norm, color=stream.color, linewidth=1, label=stream.long_name)
plt.xlabel('Time [s]')
plt.ylabel('Normalized Y ['+length_unit+']')
plt.legend()
#plt.savefig('plot3.png',dpi=600)
plt.show()
# ____ __ __ __________________
# / __ \/ /___ / /_ / ____/ ____/_ __/
# / /_/ / / __ \/ __/ / /_ / /_ / /
# / ____/ / /_/ / /_ / __/ / __/ / /
# /_/ /_/\____/\__/ /_/ /_/ /_/
#
if plot4:
print(f"do plot 4")
plt.figure(4, figsize=(14,5))
plt.subplot(211)
plt.gca().set_title('X')
for stream in streams:
plt.semilogy(stream.freq, np.abs(stream.res_x), color=stream.color,linewidth=1, label=stream.long_name)
plt.ylabel('Amplitude')
#if which_system == system_3Trackers:
# plt.annotate('Cryogenic recovery system (4.3-4.5 Hz)', xy=(4.5, 180), xytext=(7, 300),
# arrowprops=dict(facecolor='darkorange', shrink=0.03),
# )
# plt.annotate(' ', xy=(4.5, 15), xytext=(7, 300),
# arrowprops=dict(facecolor='blueviolet', shrink=0.03),
# )
# plt.annotate('42.12 Hz', xy=(42.12, 3.2), xytext=(45, 50),
# arrowprops=dict(facecolor='blueviolet', shrink=0.03),
# )
# plt.annotate('6.06 Hz', xy=(6.06, 1.5), xytext=(9, 30),
# arrowprops=dict(facecolor='darkorange', shrink=0.03),
# )
plt.subplot(212)
plt.gca().set_title('Y')
for stream in streams:
plt.semilogy(stream.freq, np.abs(stream.res_y), color=stream.color,linewidth=1, label=stream.long_name)
plt.xlabel('Frequency [Hz]')
plt.ylabel('Amplitude')
#if which_system == system_3Trackers:
# plt.annotate('Cryogenic recovery system', xy=(4.25, 150), xytext=(7, 400),
# arrowprops=dict(facecolor='darkorange', shrink=0.03),
# )
# plt.annotate('6.86 Hz', xy=(6.86, 2.5), xytext=(9, 30),
# arrowprops=dict(facecolor='blueviolet', shrink=0.03),
# )
# plt.annotate('43.20 Hz', xy=(43.2, 0.7), xytext=(45, 2),
# arrowprops=dict(facecolor='darkorange', shrink=0.03),
# )
plt.legend()
#plt.savefig('plot4_FFT.png',dpi=600)
#plt.show()
# ____ __ __ __________________ __ _
# / __ \/ /___ / /_ / ____/ ____/_ __/ ____ / /_ (_)
# / /_/ / / __ \/ __/ / /_ / /_ / / / __ \/ __ \/ /
# / ____/ / /_/ / /_ / __/ / __/ / / / /_/ / / / / /
# /_/ /_/\____/\__/ /_/ /_/ /_/ / .___/_/ /_/_/
# /_/
if plot5:
print(f"do plot 5")
plt.figure(5, figsize=(14,5))
plt.subplot(211)
for stream in streams:
plt.plot(stream.freq, [cmath.phase(z) for z in stream.res_y],color=stream.color,linewidth=1, label=stream.long_name)
plt.xlabel('Frequency [Hz]')
plt.ylabel('Phase')
plt.subplot(212)
for stream in streams:
plt.plot(stream.freq, [cmath.phase(z) for z in stream.res_x], color=stream.color,linewidth=1, label=stream.long_name)
#kplt.plot(freq_sp, [cmath.phase(z) for z in res_y_sp], color='darkorange',linewidth=1, label="Small propeller")
#plt.plot(freq_bp, [cmath.phase(z) for z in res_y_bp], color='blueviolet',linewidth=1, label="Big propeller")
#plt.plot(freq_base, [cmath.phase(z) for z in res_y_base], color='limegreen',linewidth=1, label="Base")
plt.xlabel('Frequency [Hz]')
plt.ylabel('Phase')
#plt.savefig('plot5_phiFFT.png',dpi=600)
#plt.show()
#End prints
#remind me what these do?
if endprints:
#These are used to locate frequency peaks within certain frequency ranges.
#polyprint prints the resulting lists in one line.
#get_peak_freq(fft_output, frequencies, min_search_freq, max_search_freq)
polyprint([get_peak_freq(stream.res_x, stream.freq, 2, 50) for stream in streams])
polyprint([get_peak_freq(stream.res_y, stream.freq, 2, 50) for stream in streams])
polyprint([get_peak_freq(stream.res_x, stream.freq, 0, 10) for stream in streams])
polyprint([get_peak_freq(stream.res_y, stream.freq, 0, 10) for stream in streams])
print(get_peak_freq(streams[0].res_y, streams[0].freq, 17, 20)) #big propeller only
polyprint([get_peak_freq(stream.res_x, stream.freq, 20, 30) for stream in streams])
polyprint([get_peak_freq(stream.res_y, stream.freq, 20, 30) for stream in streams])
polyprint([get_peak_freq(stream.res_x, stream.freq, 30, 40) for stream in streams])
polyprint([get_peak_freq(stream.res_y, stream.freq, 30, 40) for stream in streams])
polyprint([get_peak_freq(stream.res_x, stream.freq, 40, 50) for stream in streams])
polyprint([get_peak_freq(stream.res_y, stream.freq, 40, 50) for stream in streams])