HexaBoardAnalyzer/AllMeds.py at master · IncandelaLab/HexaBoardAnalyzer · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
#!/usr/bin/env python2
import glob, sys, os, array, math
import numpy as np
from scipy.stats import norm
from scipy import signal
import string
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
from chip_median_rms import *
plt.style.use('bmh')


#########################################################
if __name__ == "__main__":
    lgMedArr=[]; hgMedArr=[]
    thr2mlg=[]; thr3mlg=[]; thr4mlg=[]; thr5mlg=[]
    thr2mhg=[]; thr3mhg=[]; thr4mhg=[]; thr5mhg=[]
    thr2mlg_pcb=[]; thr3mlg_pcb=[]; thr4mlg_pcb=[]; thr5mlg_pcb=[]
    thr2mhg_pcb=[]; thr3mhg_pcb=[]; thr4mhg_pcb=[]; thr5mhg_pcb=[]

    lgMedArr= [5.52391721697 , 5.74734575189 , 5.87303901589 ,  6.09715088671
, 5.72736953215 , 5.93391584053 , 5.60980550746 ,  5.98104233799
, 5.89807005104 , 6.10599646155 , 5.92877431897 ,  5.79153547118
, 5.88043870137 , 6.16185060079 , 6.06264258486 ,  5.81585781998
, 5.91606174754 , 6.22296586638 , 5.75897247076 ,  5.94959737686
, 5.76348196644 , 5.89567639852 , 6.10492007063 ,  5.97798456884
, 5.74239123776 , 5.74037113689 , 6.01821901746 ,  5.79533030903
, 6.29807291602 , 6.21966806906 , 6.1981337748 ,  5.91798049263
, 5.80367513129 , 5.89172089115 , 5.99576129904 ,  5.6577616593
, 5.92584709025 , 5.76756436528 , 5.7200183507 ,  5.63890666849
, 5.94610747014 , 5.86695084327 , 6.07343823154 ,  5.75622101486
, 5.73258562816 , 5.7037581074 , 5.83116105986 ,  5.87571461243
, 5.72237942308 , 6.08687171218 , 5.99254817366 ,  5.89666724109
, 6.31325122596 , 5.81271102151 , 6.21073201291 ,  5.68660325312
, 6.11032141381 , 6.13116355409 , 6.18663989887 ,  5.45393327157
, 5.25514655869 , 5.67652866208 , 5.55894262659 ,  5.83448150509
, 5.63354449576 , 6.18803517867 , 6.10820939371 ,  6.09850581864
, 5.992647173 , 5.76596500546 , 6.10027085779 ,  6.31037543495
, 6.09461993386 , 6.07337362505 , 5.99273648699 ,  6.31136008592
, 6.05795820922 , 5.99072134752 , 6.2757935243 ,  5.82310973854
, 5.89581920588 , 5.73901888991 , 5.87826063115 ,  5.80162956958
, 5.98946015011 , 5.55748974392 , 5.70079453304 ,  5.44989596498
, 5.70977243318 , 6.08785429662 , 5.43618638359 ,  5.84899163183
, 5.69130379658 , 5.930020298 , 5.78753604884 ,  5.60488699586
, 5.5997092866 , 5.44369255427 , 5.40137695737 ,  5.59757649239
, 5.50365468911 , 5.65126290684 , 5.83237710869 ,  5.66511040667
, 5.66339105662 , 5.66521730274 , 5.90363032207 ,  5.97834851626
, 5.64508866634 , 5.93127790574 , 5.94631549608 ,  5.51786738043
, 5.79890600072 , 5.35078346766 , 5.75935836347 ,  5.77180315182]

    hgMedArr = [5.08514566554 , 5.418615047 , 5.6809600769 ,  5.92708731299
, 5.28574175907 , 5.52295691103 , 5.50096886371 ,  5.58759943359
, 5.42514505879 , 5.89644791392 , 5.65138348741 ,  5.41124646641
, 5.29141996498 , 5.68563119608 , 5.87799295554 ,  5.40889561183
, 5.51419888877 , 5.917464152 , 5.54506836738 ,  5.59748760765
, 5.25693727532 , 5.57746817602 , 5.8420151879 ,  5.58840848446
, 5.27976197208 , 5.74829507537 , 6.13825931482 ,  5.79866799877
, 5.65716094463 , 5.97629738365 , 6.20568889788 ,  5.67859088563
, 5.14234722591 , 5.54588157353 , 5.84455891332 ,  5.3633599174
, 5.38546200585 , 5.41317303357 , 5.39358526895 ,  5.1638184392
, 5.37819720224 , 5.77375838361 , 5.91345352026 ,  5.40410661794
, 5.305210213 , 5.42313220535 , 5.66284387342 ,  5.48781868891
, 5.13268681047 , 6.00548769357 , 5.82911536427 ,  5.66892963206
, 5.71593935385 , 5.66778164555 , 6.10402296629 ,  5.37773897421
, 5.39545741142 , 5.90567878737 , 5.90101720335 ,  5.01596491235
, 4.84097124582 , 5.3530542913 , 5.49667186008 ,  5.37058405929
, 5.08975425644 , 5.79374214924 , 5.89572982621 ,  5.48959210929
, 5.5633572123 , 5.63349725643 , 5.8938817495 ,  5.84431801366
, 5.68477477397 , 5.93585548461 , 5.75692063647 ,  5.88112747818
, 5.45837825127 , 5.67249005631 , 6.12968474776 ,  5.45646235334
, 5.29639439171 , 5.44479487311 , 5.62474600165 ,  5.26524073921
, 5.5247009123 , 5.26811346702 , 5.6046048796 ,  5.1541130325
, 5.21315169857 , 5.97123922142 , 5.51695647729 ,  5.41028703896
, 5.22595236797 , 5.79886467705 , 5.85330359146 ,  5.33554856647
, 5.08428121466 , 5.44151249269 , 5.48769621228 ,  5.37012368658
, 5.18838757307 , 5.60941716108 , 5.78017002259 ,  5.19816388295
, 5.25327381013 , 5.63733411051 , 5.94591292565 ,  5.54943036727
, 5.25677370413 , 5.75285594818 , 5.79739474033 ,  5.26087167531
, 5.37123913108 , 5.34191847666 , 5.74831754928 , 5.46697161316]

    boardplot=True
    print "Number of files: ", len(sys.argv)
    if len(sys.argv) > 1:
        print '# Input files are',sys.argv
        i=0
        for file in sys.argv:
            if i!=0: #there is a problem with the data for C11
                #lg1,lg2,lg3,lg4,hg1,hg2,hg3,hg4=chip_median_rms(file,medplot=True)
                #lgMedArr.append(lg1); lgMedArr.append(lg2); lgMedArr.append(lg3); lgMedArr.append(lg4)
                #hgMedArr.append(hg1); hgMedArr.append(hg2); hgMedArr.append(hg3); hgMedArr.append(hg4)
                lgchans,hgchans=chip_median_rms(file)
                lgpcb2m=0;lgpcb3m=0;lgpcb4m=0;lgpcb5m=0;hgpcb2m=0;hgpcb3m=0;hgpcb4m=0;hgpcb5m=0
                j=0
                while j<4:
                    thr2mlg.append(lgchans[0][j]); thr3mlg.append(lgchans[1][j]); thr4mlg.append(lgchans[2][j]); thr5mlg.append(lgchans[3][j])
                    thr2mhg.append(hgchans[0][j]); thr3mhg.append(hgchans[1][j]); thr4mhg.append(hgchans[2][j]); thr5mhg.append(hgchans[3][j])
                    if boardplot:
                        lgpcb2m+=lgchans[0][j];lgpcb3m+=lgchans[1][j];lgpcb4m+=lgchans[2][j];lgpcb5m+=lgchans[3][j]
                        hgpcb2m+=hgchans[0][j];hgpcb3m+=hgchans[1][j];hgpcb4m+=hgchans[2][j];hgpcb5m+=hgchans[3][j]
                    j+=1
                if lgpcb2m>0:
                    thr2mlg_pcb.append(lgpcb2m)
                if lgpcb3m>0:
                    thr3mlg_pcb.append(lgpcb3m)
                if lgpcb4m>0:
                    thr4mlg_pcb.append(lgpcb4m)
                if lgpcb5m>0:
                    thr5mlg_pcb.append(lgpcb5m)
                if hgpcb2m>0:
                    thr2mhg_pcb.append(hgpcb2m)
                if hgpcb3m>0:
                    thr3mhg_pcb.append(hgpcb3m)
                if hgpcb4m>0:
                    thr4mhg_pcb.append(hgpcb4m)
                if hgpcb5m>0:
                    thr5mhg_pcb.append(hgpcb5m)
                print "thr2mlg", thr2mlg, lgchans[0][:]
                print "thr2mhg", thr2mhg, hgchans[0][:]
            i+=1
    else:
        print "No input files given!"
        #exit(0)
        #arrays for all but C11

    fig, ax = plt.subplots(1,2)
    nl, binsl, pl = ax[0].hist(lgMedArr, 15, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nh, binsh, ph = ax[1].hist(hgMedArr, 15, normed=0, facecolor='indianred', alpha=0.7)

    LG_med=np.median(lgMedArr)
    HG_med=np.median(hgMedArr)
    ax[0].axvline(LG_med, color='k', linestyle='dashed', linewidth=2)
    ax[1].axvline(HG_med, color='k', linestyle='dashed', linewidth=2)

    print "lgmed", LG_med , "hgmed", HG_med
    print "number entries", len(lgMedArr), len(hgMedArr)
    print "number entries", len(lgMedArr), len(hgMedArr)
    ax[0].set_xlabel('LG median rms all chips all pcbs', fontsize=20)
    ax[1].set_xlabel('HG median rms all chips all pcbs', fontsize=20)
    plt.show()
    plt.close()

    # lgdim = lgchans.size[0]
    # hgdim = hgchans.size[0]
    # print lgdim

    #should loop and create number of arrays to match number of factors but whatever. add it later
    #for lc,hc in zip(lgchans, hgchans):
    print "#entries", thr2mlg_pcb
    fig, ((ax1, ax2), (ax3, ax4), (ax5, ax6), (ax7, ax8) ) = plt.subplots(4,2)
    nl, binsl, pl = ax1.hist(thr2mlg, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nl, binsl, pl = ax3.hist(thr3mlg, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nl, binsl, pl = ax5.hist(thr4mlg, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nl, binsl, pl = ax7.hist(thr5mlg, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nh, binsh, ph = ax2.hist(thr2mhg, 10, normed=0, facecolor='indianred', alpha=0.7)
    nh, binsh, ph = ax4.hist(thr3mhg, 10, normed=0, facecolor='indianred', alpha=0.7)
    nh, binsh, ph = ax6.hist(thr4mhg, 10, normed=0, facecolor='indianred', alpha=0.7)
    nh, binsh, ph = ax8.hist(thr5mhg, 10, normed=0, facecolor='indianred', alpha=0.7)
    ax1.set_xlabel('LG # noisy channels thr 2*med all chips all pcbs', fontsize=20)
    ax3.set_xlabel('LG # noisy channels thr 3*med all chips all pcbs', fontsize=20)
    ax5.set_xlabel('LG # noisy channels thr 4*med all chips all pcbs', fontsize=20)
    ax7.set_xlabel('LG # noisy channels thr 5*med all chips all pcbs', fontsize=20)
    ax2.set_xlabel('HG # noisy channels thr 2*med all chips all pcbs', fontsize=20)
    ax4.set_xlabel('HG # noisy channels thr 3*med all chips all pcbs', fontsize=20)
    ax6.set_xlabel('HG # noisy channels thr 4*med all chips all pcbs', fontsize=20)
    ax8.set_xlabel('HG # noisy channels thr 5*med all chips all pcbs', fontsize=20)
    plt.show()

    fig, ((ax1, ax2), (ax3, ax4), (ax5, ax6), (ax7, ax8) ) = plt.subplots(4,2)
    nl, binsl, pl = ax1.hist(thr2mlg_pcb, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nl, binsl, pl = ax3.hist(thr3mlg_pcb, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nl, binsl, pl = ax5.hist(thr4mlg_pcb, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nl, binsl, pl = ax7.hist(thr5mlg_pcb, 10, normed=0, facecolor='cornflowerblue',alpha=0.7)
    nh, binsh, ph = ax2.hist(thr2mhg_pcb, 10, normed=0, facecolor='indianred', alpha=0.7)
    nh, binsh, ph = ax4.hist(thr3mhg_pcb, 10, normed=0, facecolor='indianred', alpha=0.7)
    nh, binsh, ph = ax6.hist(thr4mhg_pcb, 10, normed=0, facecolor='indianred', alpha=0.7)
    nh, binsh, ph = ax8.hist(thr5mhg_pcb, 10, normed=0, facecolor='indianred', alpha=0.7)
    # hist, bins = np.histogram(gaussian_numbers, bins=12)
    # hist[np.where(hist <= freq)] = 0
    ax1.set_xlabel('LG # noisy channels thr 2*med all chips all pcbs', fontsize=20)
    ax3.set_xlabel('LG # noisy channels thr 3*med all chips all pcbs', fontsize=20)
    ax5.set_xlabel('LG # noisy channels thr 4*med all chips all pcbs', fontsize=20)
    ax7.set_xlabel('LG # noisy channels thr 5*med all chips all pcbs', fontsize=20)
    ax2.set_xlabel('HG # noisy channels thr 2*med all chips all pcbs', fontsize=20)
    ax4.set_xlabel('HG # noisy channels thr 3*med all chips all pcbs', fontsize=20)
    ax6.set_xlabel('HG # noisy channels thr 4*med all chips all pcbs', fontsize=20)
    ax8.set_xlabel('HG # noisy channels thr 5*med all chips all pcbs', fontsize=20)
    plt.show()

    #plt.close()