I am trying to save data from two arrays in a text file. I want them to be in columns. After using, my code, it places them in arrays within my text file.
I have tried opening and writing to a file, while saving the data to the file I opened. This results in arrays with []s inside my text file. I want each array to be a separate column.
listkH2=[]
with open ("Basecol_HCL_H2_para_space.txt", 'r') as data:
for line in data:
listkH2.append(map(float, line.strip().split('\t')[4:]))
listkHe=[]
with open ("Lamda_HeHCL.txt", "r") as data:
for line in data:
listkHe.append(map(float, line.strip().split('\t')[3:]))
listkH2 = np.array(listkH2)
listkHe = np.array(listkHe)
listkHe = zip(*listkHe)
listkH2 = zip(*listkH2)
g = len(listkH2[4])
h = len(listkH2)
base = 10
exponentkH2 = np.log(listkH2)/np.log(base)
exponentkHe = np.log(listkHe)/np.log(base)
exponentR = np.log(R)/np.log(base)
exponentkHe.resize(exponentkH2.shape)
sub_arr = np.subtract(exponentkH2, exponentkHe)
C = sub_arr/exponentR
# m, b=np.polyfit(Delta,C,1)
with open('final_all_temperatures.txt', 'w') as f:
for i in range(0,h):
f.write(str(C[i]) + '\t')
This is the result of my text file.
[ 2.05096059 3.65564871 0.25845727 2.86561982 1.45278606 1.43600254
2.56773896 2.45761421 1.20582346 0.60828049 3.26240446 4.27576383
0.54857546 -0.64695867 -0.11224826 5.17238434 2.98451642 3.85145269
3.09965407 2.52651157 -3.00785759 4.3324366 2.80269088 2.45654687
3.47455066 2.65614389 0.27125519 0.25980975 7.09469104 6.99091224
0.87473021 1.10630048 0.87345859 0.97107587 -0.27617078 -1.30076657
6.77947741 5.90616421 4.5975132 5.11154511 5.25644884 5.31593925
-1.99289632 -2.3974694 -3.80162209 5.13590939 3.98362836 4.46667132
4.10673705 3.77926953 3.94386828 3.30850352 1.95047033 1.76710167
1.19894221 10.18390848 1.78371439 2.49395868 2.3474523 2.519068
1.38826942 2.05602612 1.25479554 0.96399962 0.11317195 -1.10848421
8.53820213 7.633488 7.12863018 7.63910202 8.10127737 7.87049188
-1.91641511 -0.28726499 -1.29462024 -1.25186861 -2.50127217 -3.22243846
5.68118123 6.23469673 5.63422048 5.91636457 5.68482542 5.5662473
5.07251286 4.9056646 4.37984497 4.62261653 4.25979296 3.72784228
-7.88586841 5.25835441 1.23747084 4.6921546 2.66446001 4.40904565
2.19600568 4.0688489 0.68169022 3.43846513 1.67349861 2.63996661
0.1540953 0.94775071 -2.36103131 10.93013689 9.09044102 10.78030914
9.49466186 11.26694864] [10.80376405 10.93396947 8.78331386 8.66009656 7.53236037 7.99974278
5.22439242 4.28218218 3.03594372 2.16010528 12.82404951 13.3732189
9.05826637 9.18144497 10.56296634 10.09347188 9.04596931 9.61318739
8.54461674 9.12830347 4.26666193 4.5667606 3.54283205 2.95557657
2.88977065 1.0935233 12.59595864 13.00536833 12.6136856 13.00661573
7.26336223 7.67990927 7.30171157 7.91066542 7.455629 7.2838736
7.58015125 6.82723242 5.35373085 5.71033646 5.18946539 4.49244374
-3.51515573 10.30278666 9.38098429 9.94790116 9.25593545 9.83329325
9.63878409 9.53483308 9.73113818 9.22097715 8.37749349 8.89604493
9.10481854 8.86047563 0.62755156 0.93984665 0.10698098 -0.39034919
-2.69513211 12.15017732 11.13286652 11.43125376 11.32322433 11.1926892
11.22782336 10.87236282 10.4539346 10.98570189 11.38457084 11.25752581
1.21225179 3.07424717 2.01456061 2.44766602 1.26953183 1.0984022
-1.29397618 -1.48139497 12.60977098 12.54882608 12.1162488 12.21761522
11.8101766 11.90699102 11.49715631 12.24025124 12.37510349 12.67056169
2.13545973 4.28512186 0.62778423 3.92076771 1.67268049 2.97473961
0.31064791 1.51748601 -2.5543087 -1.17402789 -3.59412271 -1.0003402
-4.10661142 -0.05811249 -2.34663317 -1.61805463 0.47613233 2.36532043
0.54560575 1.16125952] [ 4.9855747 5.03496604 3.42614786 2.22158852 0.38884903 6.90865818
3.39190522 3.33552032 3.05084431 2.12397894 -0.2323361 7.53797668
2.25622511 2.02602316 3.60604263 2.91488229 0.83429121 0.53335524
6.63836166 6.96359602 1.86327326 2.32811345 1.89414417 1.46912454
1.26198015 -0.21686245 6.20160265 6.73493949 6.17160435 6.29832781
0.46716077 0.86182049 -0.09054745 -0.29874062 -1.67545908 6.62483228
6.60375835 6.04711012 4.73844679 5.37803451 5.4159072 5.40949612
-1.91714216 -2.26650225 -3.7138887 5.98006425 4.72632669 5.20453338
4.95046361 4.67806678 4.72286638 4.1850588 3.13116959 3.16862892
2.73366898 1.72371214 3.53951691 3.86404861 3.51527105 3.90972208
2.86340839 3.46975846 2.7687766 3.0284503 2.51227629 1.75161811
0.95285671 -0.4655973 9.38224353 9.47766062 9.76635492 9.73635628
-0.27367966 1.86275939 0.86102507 1.60947148 0.67562965 0.85894242
-1.35537727 -0.85855513 -2.59942103 8.77070795 7.85437711 7.9078672
7.37520837 7.47069689 6.97168053 7.64025685 7.56935214 7.80255101
-2.85734751 -1.07975623 -5.10821411 -2.48103704 -5.50188297 7.66128659
5.15799005 6.86371907 3.80742845 6.49294819 5.11835001 6.29209746
4.57300885 5.73948154 3.72602271 4.93019252 3.34088625 4.22800894
2.53747149 2.72044622] [14.59399396 14.17538676 12.11253635 12.21898523 11.36216272 11.97824621
9.49599821 9.19121228 8.68402685 8.89117939 7.32480894 7.91381899
3.19143507 2.69871186 3.12348552 1.46258132 13.35418216 13.46758999
12.36061903 13.11511372 8.45521196 9.08641432 8.5309354 8.56076844
9.191071 8.53850611 7.24304758 7.83154007 7.04489 6.99701568
0.5638625 0.19469849 -1.43943823 12.62988962 11.71885502 11.62566754
12.05866517 11.57027291 10.51877182 11.33946178 11.31414447 11.48429395
4.75474657 5.08202719 4.41086424 4.8373262 3.79586278 3.84440026
2.9008565 1.95401438 0.81082048 14.46202919 13.22811087 13.82328719
14.10304479 14.19299321 6.41208229 7.28931298 6.99147468 7.43798579
6.29954869 7.04283397 6.3125048 6.52678372 6.01999398 5.56020142
4.96703023 3.98429553 2.61200136 1.82232825 16.850672 16.44384111
6.26819032 8.71002922 7.83320081 8.8212229 7.98323861 8.68625401
6.96184901 8.32485726 7.58829445 7.95682585 7.26568654 7.27092631
6.4217462 6.17293616 5.11895136 5.20220408 4.28081568 3.27553963
-8.07712172 -4.79581853 -9.33932062 -3.55410904 -5.4922721 -4.98068847
-3.50284453 -1.65739383 -5.26691215 -3.69863835 -0.64627254 0.28844521
-0.69630747 -0.85757847 -3.41338786 3.70800446 1.63408755 3.1450509
2.64204492 2.50336127] [ 1.30114054e+00 8.15315156e+00 5.23930535e+00 5.01132982e+00
4.45565040e+00 4.74180742e+00 1.14604320e+00 -6.73559045e-03
6.78496283e+00 6.74663638e+00 5.07017488e+00 5.66409178e+00
1.63733874e+00 1.25912340e+00 1.45420587e+00 1.24102954e-01
6.94612171e+00 7.19239882e+00 5.99157573e+00 6.37614617e+00
1.67897007e+00 2.24869726e+00 1.16807242e+00 3.35083369e-01
2.19301137e-02 7.87804957e+00 6.39415667e+00 7.09650386e+00
6.39578406e+00 6.62074804e+00 7.99959932e-01 1.15490059e+00
2.47318786e-01 4.92876498e-02 -1.39700704e+00 7.65124721e+00
7.48227097e+00 6.90380404e+00 5.91983503e+00 6.48870461e+00
6.21423116e+00 6.37679250e+00 -4.34920957e-01 -6.00321151e-01
-1.96827731e+00 -2.26992026e+00 6.81784002e+00 6.81568556e+00
6.35956528e+00 6.29227876e+00 6.39250993e+00 5.80096255e+00
4.94411213e+00 5.45219128e+00 5.24361831e+00 4.71206344e+00
-3.74398461e+00 -3.96166348e+00 5.96680211e+00 6.03785540e+00
4.70121252e+00 5.62892297e+00 5.05631239e+00 5.37750750e+00
4.90252062e+00 4.74640875e+00 4.43255391e+00 3.77344892e+00
2.66087389e+00 2.45855534e+00 1.53481055e+00 1.26065265e+01
1.97353454e+00 4.51960506e+00 3.54980293e+00 4.50609317e+00
3.49840571e+00 4.19961447e+00 2.20714105e+00 3.57672717e+00
2.68321279e+00 2.72025529e+00 1.48633479e+00 9.59891660e-01
-8.00455607e-01 1.09638382e+01 9.98456126e+00 1.06383717e+01
1.05493328e+01 1.09708647e+01 7.43888050e-01 2.78464534e+00
-3.07655161e-01 2.55644834e+00 8.40377970e-01 1.83414081e+00
-3.99145423e-01 4.77315104e-01 -3.06103618e+00 -1.86959167e+00
9.33159151e+00 9.66021669e+00 8.34340496e+00 9.23847458e+00
7.80225548e+00 8.85027901e+00 8.09277237e+00 9.11936253e+00
8.51739384e+00 9.25735251e+00] [ 8.7746807 8.50527169 6.18449065 5.72511731 4.12625001 3.35894075
13.68707776 12.97813629 12.60295852 13.01244433 11.83660687 12.51649823
8.43366325 8.47280548 9.47910527 8.98201393 8.02320711 8.37003231
7.04169735 7.16926569 1.91426947 1.65120342 -0.08205392 13.39191391
13.52881059 12.96519714 12.03288501 12.7481386 12.21465451 12.64224632
6.83771396 7.38086875 7.05853845 7.4940764 6.87205723 6.59423745
6.58596952 5.5922075 4.03636266 3.85952638 2.35582845 16.70020835
9.7802121 10.18159267 9.54239143 10.35201563 9.81068739 10.31050063
9.95729237 9.87833452 9.94041346 9.42473993 8.60500549 9.00512293
8.81699532 8.55190749 0.4586119 0.6053144 -0.71843353 -1.4951758
11.93270089 12.49663713 11.8818076 12.27848105 11.95068557 11.98714091
11.85704393 11.63471412 11.15727874 11.67565456 11.72611885 11.77094384
1.46343637 3.97543463 2.77180999 3.31983273 1.73263685 1.88511749
-0.94401385 -0.80031704 -2.53135343 -0.92449635 -2.84444137 -0.04797997
-0.90177917 -1.6182753 1.2427764 2.15395051 1.32127769 0.79631879
-5.11062163 -3.10984532 -5.53092354 -3.90661017 -6.30053893 0.73700249
-2.15690124 -0.47499138 -2.97804509 -1.92889935 -3.76299996 3.74504845
1.56555529 1.98075547 0.88244604 1.61251479 -0.14051652 -0.08338517
6.61776443 6.98779591] [ 6.11810619 5.98083022 4.46335971 4.21698354 2.58363314 1.95054541
7.1441627 6.54703017 6.26560657 6.35671329 5.30001727 5.6827213
1.38830303 0.44548006 0.33185371 8.33397437 7.29577365 7.74791931
6.67299775 6.86612113 2.4948925 2.72224304 1.82625593 0.95363991
0.38655253 9.01517432 7.83066075 8.25203463 7.60690456 7.74908084
1.74899554 2.51306757 2.23489676 1.95912073 0.76823837 -0.33672514
9.55970569 8.62066788 7.9146716 8.37406532 7.97313769 8.02162324
1.76566115 2.15045202 0.8805645 1.19897017 0.07493811 -0.69998902
9.18214126 8.6425589 8.51303327 8.13573162 7.69527632 8.02502877
7.71098893 7.73024505 0.57354369 0.80584046 -0.41320126 -0.44468769
-3.11611823 9.04216078 8.17653945 8.31461282 7.7758945 7.80135456
7.50391063 7.25507496 6.78531649 7.04322748 6.69842074 6.46431534
-3.55015897 -1.92091056 -3.82203769 8.55162325 6.84296438 7.74611465
5.73950973 7.31454659 6.82563053 7.06496592 6.23868853 6.34944599
5.52527565 5.4509146 4.68027495 4.54424724 3.5403263 2.71115104
5.13755567 6.83998348 4.58780231 6.76014919 5.53833276 6.46002404
4.72441272 6.06079692 3.65572558 5.39001709 4.55060578 4.65435803
3.15056989 3.08321201 1.13596416 0.59857696 13.02216898 13.19224027
12.81720677 13.32968484] [12.7089459 12.71675932 11.20780617 11.39995159 10.70388087 10.77007591
8.19830104 7.68702633 7.42698434 7.2518205 5.69900072 5.13203097
0.39557732 13.67827776 13.8852568 13.48902448 13.11849501 13.52280391
12.69314428 12.96853253 8.92336752 9.08105087 8.80828186 8.57779444
8.68227512 8.04870269 7.27808688 7.13249279 5.80355315 5.16653256
-1.99509752 13.07642876 12.79724273 12.90827863 12.52050106 12.45162473
12.56260174 12.21922019 11.85851903 12.14648963 11.62733864 11.69063629
5.63762171 5.99477105 4.7590756 5.31853939 4.61560375 4.07348835
2.71502181 1.2843117 15.88855744 15.13404519 14.80479931 15.09227986
14.82609206 15.00715414 8.53432524 8.99494314 8.30443942 9.08127099
7.46401465 8.52655349 8.11183977 7.99574157 7.13613774 6.76190291
5.88074426 5.07372122 3.98007457 2.82738588 1.28014044 2.71009949
-6.94989482 -2.65881888 -3.50675844 -3.71843184 -1.72846045 -0.50861143
-3.00286434 -2.57050771 1.26306969 1.30221658 0.98601033 -0.03314028
-1.56826551 4.37796625 3.07227691 3.62277232 3.53862163 2.55933073
-7.80545668 1.1158715 -1.55666162 -0.29086146 -1.05472296 -0.55586977
-3.31247025 -2.88559027 2.25328933 3.31008262 2.44682573 2.47841962
1.67640725 1.63557975 -0.27743426 -0.66182935 6.72225978 6.81070835
6.37229095 6.43772756]
The expected results should be that each array will be in its own column. However, that is not the case. The actual results are that each array is just underneath each other.
Related
I am unable to parse a JSON array from a text file due to errors and my limited knowledge of JSON.
The file looks something like this [{"random":"fdjsf","random56":128,"name":"dsfjsd", "rid":1243,"rand":674,"name":"dsfjsd","random43":722, "rid":126},{"random":"fdfgfgjsf","random506":120,"name":"dsfjcvcsd", "rid":12403,"rando":670,"name":"dsfooojsd","random4003":720, "rid":120}] It has more than one object({}) in the entire array however I did not want to include all 600. The layout shown above is basically how all of them look.
r = s.get(getAPI, headers=header, verify=False)
f = open('text.txt', 'w+')
f.write(r.text)
f.close
output_file = open ('text.txt', 'r')
json_array = json.load(output_file)
json_list = []
for item in json_array:
name = "name"
rid = "rid"
json_items = {name:None, rid:None}
json_items = [name] = item[name]
json_items = [rid] = item[rid]
json_list.append(json_items)
print(json_list)
I would like to loop through an array and find any time it says "name":... eventually followed by "rid":... and store those in a dictionary as key value pairs.
Errors:
ValueError: too many values to unpack (expected 1)
There is a syntax error when you assign values to json_items, change it to:
json_items[name] = item[name]
json_items[rid] = item[rid]
I am fairly new to IDL, and I am trying to write a code that will take a MODIS HDF file (level three data MOD14A1 and MYD14A1 to be specific), read the array, and then write the data from the array preferably to a csv file, but ASCII would work, too. I have code that will allow me to do this for one file, but I want to be able to do this for multiple files. Essentially, I want it to read one HDF array, write it to a csv, move to the next HDF file, and then write that array to the same csv file in the next row. Any help here would be greatly appreciated. I've supplied the code I have so far to do this with one file.
filename = dialog_pickfile(filter = filter, path = path, title = title)
csv_file = 'Data.csv'
sd_id = HDF_SD_START(filename, /READ)
; read "FirePix", "MaxT21"
attr_index = HDF_SD_ATTRFIND(sd_id, 'FirePix')
HDF_SD_ATTRINFO, sd_id, attr_index, DATA = FirePix
attr_index = HDF_SD_ATTRFIND(sd_id, 'MaxT21')
HDF_SD_ATTRINFO, sd_id, attr_index, DATA = MaxT21
index = HDF_SD_NAMETOINDEX(sd_id, 'FireMask')
sds_id = HDF_SD_SELECT(sd_id, index)
HDF_SD_GETDATA, sds_id, FireMask
HDF_SD_ENDACCESS, sds_id
index = HDF_SD_NAMETOINDEX(sd_id, 'MaxFRP')
sds_id = HDF_SD_SELECT(sd_id, index)
HDF_SD_GETDATA, sds_id, MaxFRP
HDF_SD_ENDACCESS, sds_id
HDF_SD_END, sd_id
help, FirePix
print, FirePix, format = '(8I8)'
print, MaxT21, format = '("MaxT21:", F6.1, " K")'
help, FireMask, MaxFRP
WRITE_CSV, csv_file, FirePix
After I run this, and choose the correct file, this is the output I am getting:
FIREPIX LONG = Array[8]
0 4 0 0 3 12 3 0
MaxT21: 402.1 K
FIREMASK BYTE = Array[1200, 1200, 8]
MAXFRP LONG = Array[1200, 1200, 8]
The "FIREPIX" array is the one I want stored into a csv.
Thanks in advance for any help!
Instead of using WRITE_CSV, it is fairly simple to use the primitive IO routines to write a comma-separated array, i.e.:
openw, lun, csv_file, /get_lun
; the following line produces a single line the output CSV file
printf, lun, strjoin(strtrim(firepix, 2), ', ')
; TODO: do the above line as many times as necessary
free_lun, sun
I'm writing a program that will accept multiple files at once. But I'm trying to change this program in a way that if a empty file is entered, then ignore that file but continue to read over all the other files, and provide me an output without raising any exception errors related to the empty file.
For example:
File 1 = contains text that will work with this program
File 2 = is empty
This is a piece of my program:
from sys import argv
script , filenames = argv[0], argv[1:]
for file in filenames:
with open(file) as f:
var = f.read()
print "\n\nYou File Name: '(%r)'" % (file)
var1 = var.split()
var2 = len(var1)
print '\n\nThe Total Number of Words: "({0:,})"'.format(var2)
var3 = var.split()[0]
var4 = len(var3)
print '\n\nThe First Word and Length: "(%s)" ({0:,})'.format(var4) % (var3)
If I run this program using File 2, I will get the following error:
var3 = var.split()[0]
IndexError: list index out of range
Is there a way that allows me to run File 1 and File 2 together, but get the output for File 1, then print a message for File 2 saying that its an unrecognizable file? I tried adding try/except but still wasn't working correctly.
Use if / else to check the length of your file:
for file in filenames:
with open(file) as f:
var = f.read()
print "\n\nYou File Name: '(%r)'" % (file)
if len(var) > 0:
var1 = var.split()
var2 = len(var1)
print '\n\nThe Total Number of Words: "({0:,})"'.format(var2)
var3 = var.split()[0]
var4 = len(var3)
print '\n\nThe First Word and Length: "(%s)" ({0:,})'.format(var4) % (var3)
else:
print 'File empty'
Can someone guide me to do this in the best possible way using matlab.
i have files with names 001_g_01.sig...001_g_08.sig, 002_g_01.sig...002_g_010.sig, 003_g_01.sig...003_g_08, upto n files.
what i want to do is assigning labels to files belong to one user (i.e.001_g_01.sig...001_g_08.sig as "User1", 002_g_01.sig...002_g_010.sig as "User2" and so on).
i have the following code to read the files.
dirName= '/FolderPath';
files = dir( fullfile(dirName,'001_g_1.Sig') );
files = {files.name};
dirName1= '/FolderPath';
files1 = dir( fullfile(dirName1,'*.Sig') );
files1 = {files1.name};
for i=1:length(files)
fname = fullfile(dirName,files{i});
%# some calculation
for j=i+1:length(files1)
fname1 = fullfile(dirName1,files1{j});
%# some calculation
end
end
files1 =
'001_g_01.sig'
'001_g_08.sig'
'003_g_01.sig'
.
.
If files1 is a cell like above, then you can write:
userlabel = {'001','002','003'};
f = cellstr(files1);
for ii = 1:3
result{ii} = strncmp(userlabel(ii),f,3);
end
You can do it in this way:
label = [repmat('User1',size(files,1),1); repmat('User2',size(files1,1),1) ];
This will create a array of labels containing 'User1' and 'User2'. If you need it separately, you can do it:
label1 = [repmat('User1',size(files,1),1)];
Can someone help me with this piece of code. In a loop I'm saving p-values in f and then I want to write the p-values to a file but I don't know which function to use to write to file. I'm getting error with write function.
{
f = fisher.test(x, y = NULL, hybrid = FALSE, alternative = "greater",
conf.int = TRUE, conf.level = 0.95, simulate.p.value = FALSE)
write(f, file="fisher_pvalues.txt", sep=" ", append=TRUE)
}
Error in cat(list(...), file, sep, fill, labels, append) :
argument 1 (type 'list') cannot be handled by 'cat'
The return value from fisher.test is (if you read the docs):
Value:
A list with class ‘"htest"’ containing the following components:
p.value: the p-value of the test.
conf.int: a confidence interval for the odds ratio. Only present in
the 2 by 2 case and if argument ‘conf.int = TRUE’.
etc etc. R doesn't know how to write things like that to a file. More precisely, it doesn't know how YOU want it written to a file.
If you just want to write the p value, then get the p value and write that:
write(f$p.value,file="foo.values",append=TRUE)
f is an object of class 'htest', so writing it to a file will write much more than just the p-value.
If you do want to simply save a written representation of the results to a file, just as they appear on the screen, you can use capture.output() to do so:
Convictions <-
matrix(c(2, 10, 15, 3),
nrow = 2,
dimnames =
list(c("Dizygotic", "Monozygotic"),
c("Convicted", "Not convicted")))
f <- fisher.test(Convictions, alternative = "less")
capture.output(f, file="fisher_pvalues.txt", append=TRUE)
More likely, you want to just store the p-value. In that case you need to extract it from f before writing it to the file, using code something like this:
write(paste("p-value from Experiment 1:", f$p.value, "\n"),
file = "fisher_pvalues.txt", append=TRUE)