I'm sorry but I'm having trouble understanding what you are trying to do. I'm looking in your attached data file and I see two columns of data. When you say you "need to read each line and put it into a 2D array", I don't understand. Each line is only two values. So the "2d array" would either be 1 row by 2 columns, or 2 rows by 1 column. When you say "then i need to do the same thing for the next table", what is the next table, the next line of data? Can you provide an example of what your desired output would be?
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command strategy for converting the following multi table text file into matlab array
1 Ansicht (letzte 30 Tage)
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Hello , I have the following attached file.
i need to create in the most effiecient code way.
i have a table i need to skip two first line.
then i need to read each line and and put it into a 2D array.
where i have a problem of how to read properly the line and disregard the chars which do not represent the valueble data.
after that i need to do the same thing for the next table over and over till my file ends(i dont know how many tables are there)
is there some wat i could accoplish that without making 10000 loop and read each char?
i'll be happy for some advice regarding a startegy to how properly read this file.
Thanks.
5 Kommentare
fima v
am 15 Jul. 2022
Hello John, in the file i have 4 tables.
each table i need to convert into a 2D numeric variable representing [frequency , dB] structure.
Thanks.
Jon
am 15 Jul. 2022
You said you had 4 "data tables" but I only see three S1, S2, and S3 in the attached file. Are there really four data sets?
fima v
am 15 Jul. 2022
yes sorry there are 3, but it could be 20.
it will be good to have some general trick for N subtables
Voss
am 15 Jul. 2022
"it will be good to have some general trick for N subtables"
All approaches shown so far work for files containing any number of tables.
Akzeptierte Antwort
Jon
am 15 Jul. 2022
If you don't know how many rows there are in each data set or where the data rows begin and end then you could do this:
% read data into cell arrray
A = readcell('file.txt','commentStyle','-'); % ignore lines with ------
% find header rows
idxHdr =find(strcmp(A(:,1),'Frequency'));
% calculate starting row of each data set
startRow = idxHdr + 1;
% calculate ending row of each data set
endRow = [idxHdr(2:end)-1;size(A,1) ];
% make cell array of 2d arrays, one element for each data set
numSets = numel(idxHdr);
dataSets = cell(numSets,1); % preallocate cell array
% loop through individual data sets (each one begins with a header)
for k = 1:numSets
dataSets{k} = cell2mat(A(startRow(k):endRow(k),1:2));
end
4 Kommentare
Jon
am 15 Jul. 2022
Bearbeitet: Jon
am 15 Jul. 2022
If, as in this case, you know that each data set has 1001 rows, you could just read in the data like this and save it in a 3d array (one page for each data set)
% read data into cell arrray
numSamples = 1001;
A = readcell('file.txt');
% find the numeric rows
idxNumeric = find(cellfun(@isnumeric,(A(:,1))));
% just keep the numeric values
A = A(idxNumeric,1:2);
% put them into a 3d array with a page (3rd dimension) for each dataset
data = reshape(A',2,1001,3); % reshape takes data columnwise so use transpose
data = permute(data,[2,1,3]); % undo the transpose for each 2-d data set
Jon
am 15 Jul. 2022
With either of these approaches you could also save the data stacked in a table with a columns for frequency and response (dB), and an additional column that gives the data set number. This allows you to use all of the power of MATLAB for dealing with grouped data in tables.
Jon
am 15 Jul. 2022
Bearbeitet: Jon
am 15 Jul. 2022
Ooops, for the 3d array the line A = A(idxNumeric ... should be replaced by
A = cell2mat(A(idxNumeric,1:2));
so result will be an array of doubles not a cell. So whole thing looks like:
% read data into cell arrray
numSamples = 1001;
A = readcell('file.txt');
% find the numeric rows
idxNumeric = find(cellfun(@isnumeric,(A(:,1))));
% just keep these values
A = cell2mat(A(idxNumeric,1:2));
% put them into a 3d array with a page (3rd dimension) for each dataset
data = reshape(A',2,1001,3); % reshape takes data columnwise so use transpose
data = permute(data,[2,1,3]); % undo the transpose for each 2-d data set
Jon
am 15 Jul. 2022
One minor improvement. I realized the find command was unecessary, you can just use logical indexing, so replace
idxNumeric = find(cellfun(@isnumeric,(A(:,1))));
with
idxNumeric = cellfun(@isnumeric,(A(:,1)));
Weitere Antworten (1)
Voss
am 15 Jul. 2022
fid = fopen('file.txt');
data = {};
while ~feof(fid)
fgetl(fid);
fgetl(fid);
data{end+1} = reshape(fscanf(fid,'%f'),2,[]).';
end
fclose(fid);
disp(data) % cell array of 2D arrays
{1001×2 double} {1001×2 double} {1001×2 double}
disp(data{1})
8.0000 -16.4910
8.0040 -16.5085
8.0080 -16.5246
8.0120 -16.5393
8.0160 -16.5526
8.0200 -16.5644
8.0240 -16.5748
8.0280 -16.5837
8.0320 -16.5913
8.0360 -16.5974
8.0400 -16.6021
8.0440 -16.6054
8.0480 -16.6073
8.0520 -16.6079
8.0560 -16.6070
8.0600 -16.6049
8.0640 -16.6014
8.0680 -16.5966
8.0720 -16.5905
8.0760 -16.5831
8.0800 -16.5745
8.0840 -16.5646
8.0880 -16.5536
8.0920 -16.5414
8.0960 -16.5280
8.1000 -16.5135
8.1040 -16.4978
8.1080 -16.4812
8.1120 -16.4634
8.1160 -16.4446
8.1200 -16.4249
8.1240 -16.4042
8.1280 -16.3825
8.1320 -16.3600
8.1360 -16.3365
8.1400 -16.3123
8.1440 -16.2872
8.1480 -16.2613
8.1520 -16.2346
8.1560 -16.2073
8.1600 -16.1792
8.1640 -16.1504
8.1680 -16.1210
8.1720 -16.0910
8.1760 -16.0604
8.1800 -16.0293
8.1840 -15.9976
8.1880 -15.9654
8.1920 -15.9327
8.1960 -15.8996
8.2000 -15.8661
8.2040 -15.8321
8.2080 -15.7978
8.2120 -15.7631
8.2160 -15.7281
8.2200 -15.6928
8.2240 -15.6571
8.2280 -15.6213
8.2320 -15.5851
8.2360 -15.5488
8.2400 -15.5123
8.2440 -15.4755
8.2480 -15.4386
8.2520 -15.4016
8.2560 -15.3644
8.2600 -15.3272
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8.2720 -15.2149
8.2760 -15.1773
8.2800 -15.1398
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8.2920 -15.0270
8.2960 -14.9894
8.3000 -14.9519
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8.3120 -14.8397
8.3160 -14.8025
8.3200 -14.7653
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8.3320 -14.6545
8.3360 -14.6178
8.3400 -14.5812
8.3440 -14.5448
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8.4080 -13.9877
8.4120 -13.9548
8.4160 -13.9221
8.4200 -13.8896
8.4240 -13.8574
8.4280 -13.8255
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8.4360 -13.7624
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8.5000 -13.2967
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8.5120 -13.2174
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9.1000 -12.4820
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9.1080 -12.5138
9.1120 -12.5302
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9.1200 -12.5638
9.1240 -12.5811
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9.1320 -12.6165
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9.1400 -12.6531
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9.1920 -12.9214
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9.3160 -13.7883
9.3200 -13.8220
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9.3880 -14.4583
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9.4080 -14.6693
9.4120 -14.7129
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9.4280 -14.8920
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9.4360 -14.9846
9.4400 -15.0316
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9.4520 -15.1757
9.4560 -15.2248
9.4600 -15.2744
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9.4680 -15.3753
9.4720 -15.4265
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9.4800 -15.5307
9.4840 -15.5836
9.4880 -15.6371
9.4920 -15.6912
9.4960 -15.7459
9.5000 -15.8012
9.5040 -15.8571
9.5080 -15.9136
9.5120 -15.9708
9.5160 -16.0285
9.5200 -16.0869
9.5240 -16.1460
9.5280 -16.2057
9.5320 -16.2660
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9.5400 -16.3888
9.5440 -16.4512
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9.8880 -26.8565
9.8920 -27.1054
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9.9000 -27.6243
9.9040 -27.8949
9.9080 -28.1734
9.9120 -28.4603
9.9160 -28.7558
9.9200 -29.0605
9.9240 -29.3746
9.9280 -29.6988
9.9320 -30.0333
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9.9520 -31.8753
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9.9640 -33.1223
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9.9840 -35.3648
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10.0760 -32.3231
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10.0880 -31.1360
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10.1000 -30.0550
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10.1080 -29.3894
10.1120 -29.0718
10.1160 -28.7639
10.1200 -28.4651
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10.1280 -27.8934
10.1320 -27.6198
10.1360 -27.3537
10.1400 -27.0949
10.1440 -26.8431
10.1480 -26.5978
10.1520 -26.3589
10.1560 -26.1261
10.1600 -25.8990
10.1640 -25.6775
10.1680 -25.4613
10.1720 -25.2501
10.1760 -25.0439
10.1800 -24.8423
10.1840 -24.6452
10.1880 -24.4524
10.1920 -24.2637
10.1960 -24.0791
10.2000 -23.8983
10.2040 -23.7211
10.2080 -23.5476
10.2120 -23.3774
10.2160 -23.2106
10.2200 -23.0470
10.2240 -22.8864
10.2280 -22.7289
10.2320 -22.5742
10.2360 -22.4223
10.2400 -22.2732
10.2440 -22.1266
10.2480 -21.9826
10.2520 -21.8410
10.2560 -21.7019
10.2600 -21.5650
10.2640 -21.4304
10.2680 -21.2979
10.2720 -21.1676
10.2760 -21.0394
10.2800 -20.9131
10.2840 -20.7888
10.2880 -20.6664
10.2920 -20.5458
10.2960 -20.4270
10.3000 -20.3100
10.3040 -20.1946
10.3080 -20.0810
10.3120 -19.9689
10.3160 -19.8585
10.3200 -19.7495
10.3240 -19.6421
10.3280 -19.5362
10.3320 -19.4317
10.3360 -19.3286
10.3400 -19.2268
10.3440 -19.1264
10.3480 -19.0273
10.3520 -18.9295
10.3560 -18.8330
10.3600 -18.7377
10.3640 -18.6435
10.3680 -18.5506
10.3720 -18.4588
10.3760 -18.3681
10.3800 -18.2786
10.3840 -18.1901
10.3880 -18.1027
10.3920 -18.0163
10.3960 -17.9309
10.4000 -17.8466
10.4040 -17.7632
10.4080 -17.6808
10.4120 -17.5994
10.4160 -17.5188
10.4200 -17.4392
10.4240 -17.3605
10.4280 -17.2827
10.4320 -17.2057
10.4360 -17.1296
10.4400 -17.0543
10.4440 -16.9798
10.4480 -16.9061
10.4520 -16.8333
10.4560 -16.7612
10.4600 -16.6899
10.4640 -16.6193
10.4680 -16.5495
10.4720 -16.4804
10.4760 -16.4121
10.4800 -16.3444
10.4840 -16.2774
10.4880 -16.2112
10.4920 -16.1456
10.4960 -16.0807
10.5000 -16.0164
10.5040 -15.9528
10.5080 -15.8898
10.5120 -15.8274
10.5160 -15.7657
10.5200 -15.7046
10.5240 -15.6441
10.5280 -15.5842
10.5320 -15.5248
10.5360 -15.4661
10.5400 -15.4079
10.5440 -15.3502
10.5480 -15.2932
10.5520 -15.2367
10.5560 -15.1807
10.5600 -15.1252
10.5640 -15.0703
10.5680 -15.0159
10.5720 -14.9620
10.5760 -14.9086
10.5800 -14.8558
10.5840 -14.8034
10.5880 -14.7515
10.5920 -14.7001
10.5960 -14.6491
10.6000 -14.5987
10.6040 -14.5487
10.6080 -14.4991
10.6120 -14.4500
10.6160 -14.4014
10.6200 -14.3532
10.6240 -14.3055
10.6280 -14.2581
10.6320 -14.2113
10.6360 -14.1648
10.6400 -14.1187
10.6440 -14.0731
10.6480 -14.0279
10.6520 -13.9831
10.6560 -13.9387
10.6600 -13.8947
10.6640 -13.8511
10.6680 -13.8078
10.6720 -13.7650
10.6760 -13.7225
10.6800 -13.6805
10.6840 -13.6387
10.6880 -13.5974
10.6920 -13.5564
10.6960 -13.5158
10.7000 -13.4756
10.7040 -13.4357
10.7080 -13.3962
10.7120 -13.3570
10.7160 -13.3181
10.7200 -13.2796
10.7240 -13.2414
10.7280 -13.2036
10.7320 -13.1661
10.7360 -13.1290
10.7400 -13.0921
10.7440 -13.0556
10.7480 -13.0194
10.7520 -12.9835
10.7560 -12.9480
10.7600 -12.9127
10.7640 -12.8778
10.7680 -12.8431
10.7720 -12.8088
10.7760 -12.7748
10.7800 -12.7411
10.7840 -12.7076
10.7880 -12.6745
10.7920 -12.6416
10.7960 -12.6091
10.8000 -12.5768
10.8040 -12.5448
10.8080 -12.5131
10.8120 -12.4817
10.8160 -12.4506
10.8200 -12.4197
10.8240 -12.3891
10.8280 -12.3588
10.8320 -12.3287
10.8360 -12.2989
10.8400 -12.2694
10.8440 -12.2401
10.8480 -12.2111
10.8520 -12.1824
10.8560 -12.1539
10.8600 -12.1257
10.8640 -12.0977
10.8680 -12.0699
10.8720 -12.0425
10.8760 -12.0152
10.8800 -11.9882
10.8840 -11.9615
10.8880 -11.9350
10.8920 -11.9087
10.8960 -11.8827
10.9000 -11.8569
10.9040 -11.8314
10.9080 -11.8061
10.9120 -11.7810
10.9160 -11.7562
10.9200 -11.7315
10.9240 -11.7071
10.9280 -11.6830
10.9320 -11.6590
10.9360 -11.6353
10.9400 -11.6118
10.9440 -11.5885
10.9480 -11.5655
10.9520 -11.5427
10.9560 -11.5200
10.9600 -11.4976
10.9640 -11.4754
10.9680 -11.4535
10.9720 -11.4317
10.9760 -11.4101
10.9800 -11.3888
10.9840 -11.3676
10.9880 -11.3467
10.9920 -11.3260
10.9960 -11.3054
11.0000 -11.2851
11.0040 -11.2650
11.0080 -11.2451
11.0120 -11.2254
11.0160 -11.2058
11.0200 -11.1865
11.0240 -11.1674
11.0280 -11.1485
11.0320 -11.1297
11.0360 -11.1112
11.0400 -11.0928
11.0440 -11.0747
11.0480 -11.0567
11.0520 -11.0389
11.0560 -11.0213
11.0600 -11.0039
11.0640 -10.9867
11.0680 -10.9697
11.0720 -10.9528
11.0760 -10.9361
11.0800 -10.9197
11.0840 -10.9034
11.0880 -10.8873
11.0920 -10.8713
11.0960 -10.8556
11.1000 -10.8400
11.1040 -10.8246
11.1080 -10.8094
11.1120 -10.7944
11.1160 -10.7795
11.1200 -10.7648
11.1240 -10.7503
11.1280 -10.7360
11.1320 -10.7218
11.1360 -10.7078
11.1400 -10.6940
11.1440 -10.6804
11.1480 -10.6669
11.1520 -10.6536
11.1560 -10.6405
11.1600 -10.6275
11.1640 -10.6147
11.1680 -10.6021
11.1720 -10.5897
11.1760 -10.5774
11.1800 -10.5653
11.1840 -10.5533
11.1880 -10.5416
11.1920 -10.5300
11.1960 -10.5185
11.2000 -10.5072
11.2040 -10.4961
11.2080 -10.4852
11.2120 -10.4744
11.2160 -10.4638
11.2200 -10.4533
11.2240 -10.4431
11.2280 -10.4329
11.2320 -10.4230
11.2360 -10.4132
11.2400 -10.4035
11.2440 -10.3941
11.2480 -10.3848
11.2520 -10.3756
11.2560 -10.3667
11.2600 -10.3578
11.2640 -10.3492
11.2680 -10.3407
11.2720 -10.3324
11.2760 -10.3242
11.2800 -10.3162
11.2840 -10.3083
11.2880 -10.3007
11.2920 -10.2931
11.2960 -10.2858
11.3000 -10.2786
11.3040 -10.2716
11.3080 -10.2647
11.3120 -10.2580
11.3160 -10.2514
11.3200 -10.2451
11.3240 -10.2388
11.3280 -10.2328
11.3320 -10.2269
11.3360 -10.2212
11.3400 -10.2156
11.3440 -10.2102
11.3480 -10.2050
11.3520 -10.1999
11.3560 -10.1950
11.3600 -10.1903
11.3640 -10.1857
11.3680 -10.1813
11.3720 -10.1770
11.3760 -10.1730
11.3800 -10.1691
11.3840 -10.1653
11.3880 -10.1617
11.3920 -10.1583
11.3960 -10.1551
11.4000 -10.1521
11.4040 -10.1492
11.4080 -10.1464
11.4120 -10.1439
11.4160 -10.1415
11.4200 -10.1393
11.4240 -10.1373
11.4280 -10.1354
11.4320 -10.1337
11.4360 -10.1322
11.4400 -10.1309
11.4440 -10.1298
11.4480 -10.1288
11.4520 -10.1280
11.4560 -10.1274
11.4600 -10.1270
11.4640 -10.1267
11.4680 -10.1266
11.4720 -10.1268
11.4760 -10.1271
11.4800 -10.1276
11.4840 -10.1282
11.4880 -10.1291
11.4920 -10.1302
11.4960 -10.1314
11.5000 -10.1328
11.5040 -10.1345
11.5080 -10.1363
11.5120 -10.1383
11.5160 -10.1405
11.5200 -10.1429
11.5240 -10.1456
11.5280 -10.1484
11.5320 -10.1514
11.5360 -10.1546
11.5400 -10.1581
11.5440 -10.1617
11.5480 -10.1655
11.5520 -10.1696
11.5560 -10.1739
11.5600 -10.1783
11.5640 -10.1830
11.5680 -10.1880
11.5720 -10.1931
11.5760 -10.1985
11.5800 -10.2040
11.5840 -10.2098
11.5880 -10.2159
11.5920 -10.2221
11.5960 -10.2286
11.6000 -10.2353
11.6040 -10.2423
11.6080 -10.2495
11.6120 -10.2569
11.6160 -10.2646
11.6200 -10.2725
11.6240 -10.2807
11.6280 -10.2891
11.6320 -10.2978
11.6360 -10.3067
11.6400 -10.3159
11.6440 -10.3254
11.6480 -10.3351
11.6520 -10.3450
11.6560 -10.3553
11.6600 -10.3658
11.6640 -10.3766
11.6680 -10.3876
11.6720 -10.3990
11.6760 -10.4106
11.6800 -10.4225
11.6840 -10.4347
11.6880 -10.4472
11.6920 -10.4599
11.6960 -10.4730
11.7000 -10.4864
11.7040 -10.5001
11.7080 -10.5141
11.7120 -10.5284
11.7160 -10.5430
11.7200 -10.5580
11.7240 -10.5732
11.7280 -10.5888
11.7320 -10.6048
11.7360 -10.6210
11.7400 -10.6376
11.7440 -10.6546
11.7480 -10.6719
11.7520 -10.6896
11.7560 -10.7076
11.7600 -10.7259
11.7640 -10.7447
11.7680 -10.7638
11.7720 -10.7833
11.7760 -10.8032
11.7800 -10.8234
11.7840 -10.8441
11.7880 -10.8651
11.7920 -10.8866
11.7960 -10.9084
11.8000 -10.9307
11.8040 -10.9534
11.8080 -10.9765
11.8120 -11.0001
11.8160 -11.0241
11.8200 -11.0485
11.8240 -11.0734
11.8280 -11.0987
11.8320 -11.1245
11.8360 -11.1508
11.8400 -11.1775
11.8440 -11.2048
11.8480 -11.2325
11.8520 -11.2607
11.8560 -11.2894
11.8600 -11.3187
11.8640 -11.3484
11.8680 -11.3787
11.8720 -11.4096
11.8760 -11.4409
11.8800 -11.4729
11.8840 -11.5053
11.8880 -11.5384
11.8920 -11.5720
11.8960 -11.6063
11.9000 -11.6411
11.9040 -11.6765
11.9080 -11.7126
11.9120 -11.7493
11.9160 -11.7866
11.9200 -11.8246
11.9240 -11.8632
11.9280 -11.9025
11.9320 -11.9425
11.9360 -11.9832
11.9400 -12.0246
11.9440 -12.0667
11.9480 -12.1095
11.9520 -12.1531
11.9560 -12.1974
11.9600 -12.2425
11.9640 -12.2884
11.9680 -12.3351
11.9720 -12.3826
11.9760 -12.4310
11.9800 -12.4802
11.9840 -12.5302
11.9880 -12.5811
11.9920 -12.6329
11.9960 -12.6856
12.0000 -12.7392
If you know beforehand that all tables in the file are the same size, then it may be convenient to use a 3D array instead of a cell array of 2D matrices.
2 Kommentare
fima v
am 15 Jul. 2022
Hello VOS, could you please explain the logc of this line?
what is "end+1"?(end is the ending line of the loop its not a variable)
the reshape command is also intresting,your read the file into floating values but what is the meaning of 2,[] ?
data{end+1} = reshape(fscanf(fid,'%f'),2,[]).';
Thanks.
Voss
am 15 Jul. 2022
Bearbeitet: Voss
am 15 Jul. 2022
data is initially an empty cell array:
data = {};
Then, inside the loop, each time a table is read from the file, it goes into a new cell in data. That's what data{end+1} = ... does
data{end+1} = stuff; % add a new cell to the end of data, containing 'stuff'
From the documentation: "end also represents the last index of an array. For example, X(end) is the last element of X, and X(3:end) selects the third through final elements of X." (Reference: end)
reshape is there because the elements of each table are read in the order they are in the file, i.e., (row 1, col 1) then (row 1, col 2) then (row 2, col 1) and so on. So, reshaping to two rows then transposing gives you a two-column matrix with the elements in the right order as in the file.
fid = fopen('file.txt');
data = {};
while ~feof(fid)
fgetl(fid);
fgetl(fid);
temp = fscanf(fid,'%f') % notice the order of the elements shown below
data{end+1} = reshape(temp,2,[]).';
end
temp = 2002×1
8.0000
-16.4910
8.0040
-16.5085
8.0080
-16.5246
8.0120
-16.5393
8.0160
-16.5526
temp = 2002×1
8.0000
-3.1159
8.0040
-3.1165
8.0080
-3.1172
8.0120
-3.1178
8.0160
-3.1185
temp = 2002×1
8.0000
-3.1159
8.0040
-3.1165
8.0080
-3.1172
8.0120
-3.1178
8.0160
-3.1185
fclose(fid);
disp(data) % cell array of 2D arrays
{1001×2 double} {1001×2 double} {1001×2 double}
disp(data{1})
8.0000 -16.4910
8.0040 -16.5085
8.0080 -16.5246
8.0120 -16.5393
8.0160 -16.5526
8.0200 -16.5644
8.0240 -16.5748
8.0280 -16.5837
8.0320 -16.5913
8.0360 -16.5974
8.0400 -16.6021
8.0440 -16.6054
8.0480 -16.6073
8.0520 -16.6079
8.0560 -16.6070
8.0600 -16.6049
8.0640 -16.6014
8.0680 -16.5966
8.0720 -16.5905
8.0760 -16.5831
8.0800 -16.5745
8.0840 -16.5646
8.0880 -16.5536
8.0920 -16.5414
8.0960 -16.5280
8.1000 -16.5135
8.1040 -16.4978
8.1080 -16.4812
8.1120 -16.4634
8.1160 -16.4446
8.1200 -16.4249
8.1240 -16.4042
8.1280 -16.3825
8.1320 -16.3600
8.1360 -16.3365
8.1400 -16.3123
8.1440 -16.2872
8.1480 -16.2613
8.1520 -16.2346
8.1560 -16.2073
8.1600 -16.1792
8.1640 -16.1504
8.1680 -16.1210
8.1720 -16.0910
8.1760 -16.0604
8.1800 -16.0293
8.1840 -15.9976
8.1880 -15.9654
8.1920 -15.9327
8.1960 -15.8996
8.2000 -15.8661
8.2040 -15.8321
8.2080 -15.7978
8.2120 -15.7631
8.2160 -15.7281
8.2200 -15.6928
8.2240 -15.6571
8.2280 -15.6213
8.2320 -15.5851
8.2360 -15.5488
8.2400 -15.5123
8.2440 -15.4755
8.2480 -15.4386
8.2520 -15.4016
8.2560 -15.3644
8.2600 -15.3272
8.2640 -15.2898
8.2680 -15.2524
8.2720 -15.2149
8.2760 -15.1773
8.2800 -15.1398
8.2840 -15.1022
8.2880 -15.0646
8.2920 -15.0270
8.2960 -14.9894
8.3000 -14.9519
8.3040 -14.9145
8.3080 -14.8770
8.3120 -14.8397
8.3160 -14.8025
8.3200 -14.7653
8.3240 -14.7282
8.3280 -14.6913
8.3320 -14.6545
8.3360 -14.6178
8.3400 -14.5812
8.3440 -14.5448
8.3480 -14.5086
8.3520 -14.4725
8.3560 -14.4365
8.3600 -14.4008
8.3640 -14.3652
8.3680 -14.3299
8.3720 -14.2947
8.3760 -14.2597
8.3800 -14.2249
8.3840 -14.1904
8.3880 -14.1560
8.3920 -14.1219
8.3960 -14.0880
8.4000 -14.0544
8.4040 -14.0209
8.4080 -13.9877
8.4120 -13.9548
8.4160 -13.9221
8.4200 -13.8896
8.4240 -13.8574
8.4280 -13.8255
8.4320 -13.7938
8.4360 -13.7624
8.4400 -13.7312
8.4440 -13.7003
8.4480 -13.6697
8.4520 -13.6393
8.4560 -13.6092
8.4600 -13.5794
8.4640 -13.5499
8.4680 -13.5206
8.4720 -13.4916
8.4760 -13.4629
8.4800 -13.4345
8.4840 -13.4064
8.4880 -13.3785
8.4920 -13.3509
8.4960 -13.3237
8.5000 -13.2967
8.5040 -13.2700
8.5080 -13.2435
8.5120 -13.2174
8.5160 -13.1916
8.5200 -13.1660
8.5240 -13.1408
8.5280 -13.1158
8.5320 -13.0912
8.5360 -13.0668
8.5400 -13.0427
8.5440 -13.0189
8.5480 -12.9954
8.5520 -12.9723
8.5560 -12.9493
8.5600 -12.9267
8.5640 -12.9044
8.5680 -12.8824
8.5720 -12.8607
8.5760 -12.8393
8.5800 -12.8181
8.5840 -12.7973
8.5880 -12.7767
8.5920 -12.7565
8.5960 -12.7365
8.6000 -12.7169
8.6040 -12.6975
8.6080 -12.6784
8.6120 -12.6596
8.6160 -12.6411
8.6200 -12.6229
8.6240 -12.6050
8.6280 -12.5874
8.6320 -12.5701
8.6360 -12.5531
8.6400 -12.5363
8.6440 -12.5199
8.6480 -12.5037
8.6520 -12.4878
8.6560 -12.4723
8.6600 -12.4570
8.6640 -12.4420
8.6680 -12.4273
8.6720 -12.4128
8.6760 -12.3987
8.6800 -12.3848
8.6840 -12.3713
8.6880 -12.3580
8.6920 -12.3450
8.6960 -12.3323
8.7000 -12.3199
8.7040 -12.3078
8.7080 -12.2959
8.7120 -12.2844
8.7160 -12.2731
8.7200 -12.2621
8.7240 -12.2514
8.7280 -12.2409
8.7320 -12.2308
8.7360 -12.2209
8.7400 -12.2113
8.7440 -12.2020
8.7480 -12.1930
8.7520 -12.1843
8.7560 -12.1758
8.7600 -12.1676
8.7640 -12.1597
8.7680 -12.1521
8.7720 -12.1448
8.7760 -12.1377
8.7800 -12.1309
8.7840 -12.1244
8.7880 -12.1182
8.7920 -12.1122
8.7960 -12.1066
8.8000 -12.1012
8.8040 -12.0960
8.8080 -12.0912
8.8120 -12.0866
8.8160 -12.0823
8.8200 -12.0783
8.8240 -12.0746
8.8280 -12.0711
8.8320 -12.0679
8.8360 -12.0650
8.8400 -12.0623
8.8440 -12.0600
8.8480 -12.0579
8.8520 -12.0561
8.8560 -12.0545
8.8600 -12.0532
8.8640 -12.0523
8.8680 -12.0515
8.8720 -12.0511
8.8760 -12.0509
8.8800 -12.0510
8.8840 -12.0514
8.8880 -12.0520
8.8920 -12.0529
8.8960 -12.0541
8.9000 -12.0556
8.9040 -12.0573
8.9080 -12.0593
8.9120 -12.0616
8.9160 -12.0642
8.9200 -12.0670
8.9240 -12.0701
8.9280 -12.0735
8.9320 -12.0772
8.9360 -12.0811
8.9400 -12.0853
8.9440 -12.0898
8.9480 -12.0945
8.9520 -12.0996
8.9560 -12.1049
8.9600 -12.1104
8.9640 -12.1163
8.9680 -12.1224
8.9720 -12.1288
8.9760 -12.1355
8.9800 -12.1425
8.9840 -12.1497
8.9880 -12.1572
8.9920 -12.1650
8.9960 -12.1731
9.0000 -12.1814
9.0040 -12.1900
9.0080 -12.1989
9.0120 -12.2081
9.0160 -12.2176
9.0200 -12.2273
9.0240 -12.2374
9.0280 -12.2477
9.0320 -12.2583
9.0360 -12.2691
9.0400 -12.2803
9.0440 -12.2917
9.0480 -12.3034
9.0520 -12.3154
9.0560 -12.3277
9.0600 -12.3403
9.0640 -12.3532
9.0680 -12.3663
9.0720 -12.3798
9.0760 -12.3935
9.0800 -12.4075
9.0840 -12.4218
9.0880 -12.4364
9.0920 -12.4513
9.0960 -12.4665
9.1000 -12.4820
9.1040 -12.4978
9.1080 -12.5138
9.1120 -12.5302
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