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@Opiprog
Created July 29, 2015 13:29
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Index Axial Load FE AA IE
0 70 25 3 -10
1 195.9902 24.97371961 3.235454367 -9.992665938
2 400.7797 24.89494269 3.470092195 -9.97068168
3 773.9403 24.76386181 3.703099776 -9.934100971
4 1254.5773 24.58079744 3.933669057 -9.88301324
5 1760.8765 24.34619711 4.161000441 -9.81754338
6 2173.2502 24.06063434 4.384305557 -9.737851445
7 2404.0408 23.72480725 4.602809999 -9.644132256
8 2537.4333 23.33953682 4.815756011 -9.536614927
9 2670 22.90576493 5.022405109 -9.415562305
10 2800 22.424552 5.22204065 -9.281270326
11 2900 21.89707446 5.413970311 -9.134067291
12 2960 21.32462182 5.597528494 -8.974313067
13 2990 20.70859355 5.772078634 -8.802398201
14 3000 20.05049565 5.9370154 -8.618742973
15 2990 19.35193696 6.091766806 -8.423796361
16 2960 18.61462524 6.235796184 -8.21803495
17 2910 17.84036298 6.368604051 -8.001961761
18 2840 17.03104301 6.489729837 -7.776105027
19 2773.0515 16.18864388 6.598753488 -7.541016896
20 2692.5078 15.31522497 6.695296917 -7.297272086
21 2612.8108 14.41292154 6.779025318 -7.045466475
22 2542.5151 13.48393942 6.849648328 -6.786215651
23 2468.6621 12.53054968 6.906921031 -6.5201534
24 2394.1316 11.55508308 6.950644808 -6.247930162
25 2311.0471 10.55992432 6.98066803 -5.970211437
26 2221.9492 9.547506242 6.996886577 -5.68767616
27 2132.428 8.520303906 6.998960782 -5.401015043
28 2058.1516 7.480828495 6.983132514 -5.110928882
29 1983.6211 6.431621204 6.948289132 -4.818126848
30 1913.9181 5.375247014 6.89455147 -4.523324748
31 1846.8407 4.314288432 6.822105886 -4.227243283
32 1784.0826 3.251339168 6.731203616 -3.93060628
33 1727.7612 2.188997803 6.622159904 -3.634138922
34 1676.3522 1.129861429 6.495352904 -3.33856598
35 1636.4614 0.076519302 6.351222374 -3.044610038
36 1605.887 -0.968453483 6.19026815 -2.752989726
37 1589.3717 -2.002502297 6.013048408 -2.464417964
38 1575.0585 -3.023099212 5.820177734 -2.17960022
39 1565.488 -4.027749188 5.612324991 -1.899232785
40 1564.8105 -5.01399617 5.390210996 -1.624001069
41 1570.9084 -5.979429092 5.154606026 -1.354577928
42 1584.4595 -6.921687772 4.906327141 -1.091622017
43 1613.0859 -7.838468683 4.646235355 -0.835776181
44 1649.1655 -8.727530581 4.375232648 -0.587665884
45 1695.6624 -9.586699988 4.094258838 -0.347897678
46 1742.6674 -10.4138765 3.804288323 -0.11705772
47 1796.0244 -11.20703794 3.506326699 0.104289657
48 1860.7305 -11.96424526 3.201407276 0.315603329
49 1938.564 -12.68364734 2.890587494 0.5163667
50 2021.5638 -13.36348546 2.574945253 0.706088965
51 2102.8699 -14.00209762 2.255575178 0.884306313
52 2171.98 -14.59792263 1.933584822 1.050583059
53 2252.6931 -15.14950387 1.610090825 1.204512708
54 2344.0776 -15.6554929 1.28621504 1.345718949
55 2437.5796 -16.11465274 0.963080646 1.473856579
56 2530.658 -16.52586088 0.641808251 1.588612339
57 2640 -16.88811205 0.323512004 1.689705689
58 2720 -17.20052066 0.009295734 1.776889487
59 2800 -17.46232297 -0.29975088 1.849950595
60 2870 -17.67287894 -0.602556085 1.908710403
61 2940 -17.83167385 -0.898069775 1.95302526
62 2980 -17.93831947 -1.185267129 1.98278683
63 2995 -17.99255511 -1.463152167 1.997922356
64 3000 -17.99424817 -1.730761204 1.998394837
65 2990 -17.9433945 -1.98716619 1.984203117
66 2960 -17.84011844 -2.231477931 1.955381891
67 2900 -17.68467246 -2.462849171 1.912001616
68 2820 -17.47743657 -2.680477531 1.854168346
69 2713.953138 -17.21891741 -2.883608292 1.782023463
70 2598.599294 -16.90974697 -3.071537011 1.69574334
71 2464.842224 -16.55068107 -3.243611963 1.595538905
72 2311.06838 -16.14259753 -3.399236405 1.481655125
73 2139.221984 -15.68649398 -3.537870643 1.354370412
74 1937.440477 -15.18348544 -3.659033903 1.213995936
75 1694.667961 -14.63480162 -3.762306 1.06087487
76 1427.693089 -14.04178388 -3.847328792 0.895381547
77 1155.872271 -13.40588195 -3.913807428 0.717920545
78 910.7047076 -12.72865043 -3.961511363 0.528925702
79 715.4048241 -12.01174493 -3.999763175 0.328859051
80 575.6516658 -11.25691807 -3.99272264 0.118209693
81 482.8287025 -10.46601515 -3.975921146 -0.102507401
82 421.286938 -9.640969682 -3.949399767 -0.332752647
83 375.6922456 -8.783798655 -3.91322334 -0.571963166
84 339.2839038 -7.896597579 -3.867480305 -0.819554164
85 302.8165747 -6.981535383 -3.812282489 -1.074920358
86 265.2422975 -6.040849109 -3.747764834 -1.337437458
87 227.4415722 -5.076838441 -3.674085065 -1.606463691
88 200.6850975 -4.091860083 -3.591423306 -1.881341372
89 175 -3.088321999 -3.49998164 -2.161398512
90 150 -2.068677527 -3.399983612 -2.445950458
91 130 -1.035419379 -3.291673687 -2.734301569
92 120 0.008926452 -3.175316648 -3.025746917
93 110 1.061806867 -3.051196953 -3.319574009
94 105 2.120647902 -2.919618035 -3.615064531
95 100 3.182861022 -2.780901562 -3.911496099
96 95 4.245849448 -2.635386655 -4.208144032
97 90 5.307014504 -2.483429051 -4.504283117
98 85 6.363761975 -2.325400239 -4.799189388
99 80 7.413508443 -2.16168655 -5.092141891
100 75 8.453687606 -1.992688213 -5.382424448
101 70 9.481756551 -1.818818376 -5.66932741
102 70 10.49520197 -1.640502097 -5.952149387
103 70 11.49154631 -1.458175302 -6.230198969
104 70 12.46835381 -1.272283725 -6.502796412
105 70 13.42323649 -1.083281812 -6.7692753
106 70 14.35385996 -0.891631613 -7.028984175
107 70 15.25794913 -0.697801653 -7.28128813
108 70 16.1332938 -0.502265787 -7.525570362
109 70 16.977754 -0.305502037 -7.761233675
110 70 17.78926531 -0.107991431 -7.987701948
111 70 18.56584384 0.089783181 -8.204421536
112 70 19.30559108 0.287338301 -8.410862627
113 70 20.00669859 0.484190968 -8.606520537
114 70 20.66745238 0.67985994 -8.790916944
115 70 21.28623712 0.873866867 -8.963601056
116 70 21.86154006 1.065737462 -9.124150715
117 70 22.39195478 1.255002663 -9.272173427
118 70 22.87618457 1.441199774 -9.407307323
119 70 23.31304565 1.623873602 -9.529222042
120 70 23.70147002 1.802577567 -9.637619541
121 70 24.04050811 1.976874792 -9.732234822
122 70 24.32933108 2.146339177 -9.81283658
123 70 24.56723284 2.310556433 -9.87922777
124 70 24.7536318 2.469125101 -9.931246085
125 70 24.88807228 2.62165753 -9.968764357
126 70 24.9702256 2.767780825 -9.991690865
127 70 24.99989093 2.907137761 -9.999969561
import sys
import io
import linecache
import glob
f = open("MoP_ISO_Profile_70N_SPL.txt", "r")
Headers = linecache.getline("MoP_ISO_Profile_70N_SPL.txt", 1)
Data = linecache.getline("MoP_ISO_Profile_70N_SPL.txt", 2)
print (Headers)
inputVals = []
g = open("MoP_ISO_Profile_70N_SPL.txt", "r")
for j,i in enumerate(g):
if j == 0:
header = i
continue
else:
inputVals.append(linecache.getline("MoP_ISO_Profile_70N_SPL.txt", (j + 1)))
for index, currentRow in enumerate(inputVals):
rowMod = currentRow.split()[1:]
outputFile = open("some_filename.txt" + str(index), "wt")
outputFile.write(header)
for rowIndex in range(128):
rowString = str(rowIndex) + '\t' + '\t'.join(rowMod) + '\n'
outputFile.write(rowString)
outputFile.close()
############### TEST CODE#######################
#Inputs = linecache.getline("MoP_ISO_Profile_70N_SPL.txt", 2)
#for x in range(128):
# h = linecache.getline("MoP_ISO_Profile_70N_SPL.txt", x)
# print (h)
#for i in Static_MoP_ISO_Test[i].txt:
# print (i)
#print (glob.glob('*.txt'))
#g = open("MoP_ISO_Profile_70N_SPL.txt", "r")
#for aline in g:
# values = aline.split()
# print('QB ', values[0], values[1], 'had a rating of ', values[2] )
#f.close()
#data = [line.split() for line in f]
# Profile = open("MoP_ISO_Profile_70N_SPL.txt")
# print(Profile.read())
# f = open("MoP_ISO_Profile_70N_SPL.txt", "r")
# for line in f:
# print(line, end='')
#for i, line in enumerate(f):
# print(line)
#for i, line in enumerate(f):
# with open("test.txt", "wt") as out_file:
# out_file.write(line)
#for x in xrange(1,11):
# print '%d * %d = %d' % (x, y, x*y)
#x = 1
#while True:
# print("To infinity and beyond! We're getting close, on %d now!" % (x))
# x += 1
#string = "Hello World"
#for x in string:
# print(x)
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