Need php help using xml sendandload
info:
var bc_xml:XML = new XML(email);
var email:String =
"<email>[email protected]</email>";
bc_xml.sendAndLoad(bc_url, bc_xml, "POST");
how do i put the [email protected] into a php variable?
1. Syntax for sendAndLoad is not correct.
You might want to review that and the example in the Docs
http://livedocs.macromedia.com/flash/8/main/00002879.html
The syntax is correct however for the loadVars class.
2. The order for this is incorrect:
var bc_xml:XML = new XML(email);
var email:String =
"<email>[email protected]</email>";
You need to declare a variable before you use it, in this
case the email
variable is declared and initialized after you used it.
3. In PHP I use
$xmlRequest = file_get_contents("php://input");
Then you can use the xml parser in PHP or parse yourself or
use another
party's parser.
Here is a simple round trip example I use in courses:
http://www.hosfordusa.com/ClickSystems/courses/flash/examples/XMLPHP/EX01/XMLPHPEchoEx01_D oc.php
Lon Hosford
www.lonhosford.com
May many happy bits flow your way!
"ck1mark" <[email protected]> wrote in
message
news:e1s3bn$23f$[email protected]..
info:
var bc_xml:XML = new XML(email);
var email:String =
"<email>[email protected]</email>";
bc_xml.sendAndLoad(bc_url, bc_xml, "POST");
how do i put the [email protected] into a php variable?
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0.28485 0.2344 -1.45072 0.549541 -.59867
0.30136 0.2399 -1.42753 0.575440 -.55262
0.31710 0.2455 -1.40445 0.602560 -.50656
0.33128 0.2512 -1.38150 0.630958 -.46051
0.34313 0.2570 -1.35867 0.660694 -.41446
0.35188 0.2630 -1.33560 0.691831 -.36841
0.35718 0.2692 -1.31230 0.724436 -.32236
0.35917 0.2754 -1.28953 0.758578 -.27630
0.36316 0.2818 -1.26655 0.794329 -.23025
0.37290 0.2884 -1.24340 0.831764 -.18420
0.38344 0.2951 -1.22044 0.870964 -.13815
0.39043 0.3020 -1.19732 0.912011 -.09210
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0.39985 0.3162 -1.15138 1.000000 0
0.41450 0.3236 -1.12824 1.047130 .04605
0.43143 0.3311 -1.10533 1.096480 .09210
0.44771 0.3388 -1.08234 1.148150 .13815
0.47168 0.3467 -1.05929 1.202260 .18420
0.49490 0.3548 -1.03620 1.258930 .23026
0.51511 0.3631 -1.01307 1.318260 .27631
0.53186 0.3715 -.99020 1.380380 .32235
0.54563 0.3802 -.96705 1.445440 .36841
0.55633 0.3890 -.94417 1.513560 .41446
0.56362 0.3981 -.92105 1.584890 .46051
0.56727 0.4074 -.89795 1.659590 .50657
0.56788 0.4169 -.87490 1.737800 .55261
0.56728 0.4266 -.85190 1.819700 .59867
0.57641 0.4365 -.82896 1.905460 .64472
0.58603 0.4467 -.80586 1.995260 .69077
0.59643 0.4571 -.78285 2.089300 .73682
0.60814 0.4677 -.75992 2.187760 .78287
0.62118 0.4786 -.73689 2.290870 .82893
0.63586 0.4898 -.71375 2.398830 .87498
0.65233 0.5012 -.69075 2.500000 .91629
0.67060 0.5129 -.66767 2.630270 .96708
0.69073 0.5248 -.64473 2.754230 1.01313
0.71189 0.5370 -.62175 2.884030 1.05918
0.73317 0.5495 -.59874 3.019950 1.10524
0.75327 0.5623 -.57571 3.162280 1.15129
0.77126 0.5754 -.55268 3.311310 1.19734
0.78658 0.5888 -.52966 3.467370 1.24339
0.80114 0.6026 -.50650 3.630780 1.28944
0.81494 0.6166 -.48353 3.801900 1.33550
0.82465 0.6310 -.46044 3.981070 1.38155
0.83545 0.6457 -.43742 4.168700 1.42760
0.87192 0.6607 -.41445 4.365160 1.47365
0.89542 0.6761 -.39141 4.570880 1.51970
0.90286 0.6918 -.36845 4.786300 1.56575
0.90188 0.7079 -.34545 5.000000 1.60943
0.93310 0.7244 -.32241 5.248080 1.65786
0.95971 0.7413 -.29934 5.495410 1.70391
0.98382 0.7586 -.27628 5.754400 1.74996
1.00700 0.7762 -.25334 6.025600 1.79601
1.03343 0.7943 -.23029 6.309580 1.84206
1.06588 0.8128 -.20727 6.606940 1.88812
1.09747 0.8318 -.18416 6.918310 1.93417
1.12372 0.8511 -.16122 7.244360 1.98022
1.14197 0.8710 -.13811 7.585780 2.02627
1.17310 0.8912 -.11518 7.943290 2.07232
1.19864 0.9120 -.09211 8.317640 2.11837
1.21004 0.9333 -.06902 8.709640 2.16443
1.23936 0.9550 -.04604 9.120110 2.21048
1.29665 0.9772 -.02306 9.549930 2.25653
1.35156 1.0000 0 10.000000 2.30258
1.35588 1.0233 .02303 10.471300 2.34863
1.35028 1.0471 .04602 10.964800 2.39469
1.45814 1.0715 .06905 11.481500 2.44073
1.58646 1.0965 .09212 12.022600 2.48678
1.65768 1.1220 .11511 12.589300 2.53284
1.68015 1.1482 .13819 13.182600 2.57889
1.66828 1.1749 .16118 13.803800 2.62494
1.63280 1.2023 .18423 14.454400 2.67099
1.57554 1.2303 .20725 15.135600 2.71704
1.68957 1.2589 .23023 15.848900 2.76310
1.77789 1.2882 .25324 16.595900 2.80915
1.83007 1.3183 .27634 17.378000 2.85520
1.83569 1.3490 .29936 18.197000 2.90125
1.81752 1.3804 .32237 19.054600 2.94730
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2.08715 1.8197 .59867 33.113100 3.49992
2.13486 1.8621 .62170 34.673700 3.54598
2.17637 1.9055 .64474 36.307800 3.59203
2.18294 1.9498 .66772 38.019000 3.63808
2.13124 1.9953 .69079 39.810700 3.68413
2.08390 2.0417 .71378 41.687000 3.73018
2.05038 2.0893 .73682 43.651600 3.77623
2.03115 2.1380 .75987 45.708800 3.82229
2.00959 2.1878 .78289 47.863000 3.86834
1.98717 2.2387 .80589
1.97323 2.2909 .82894
1.95447 2.3442 .85194
1.92595 2.3988 .87496
1.90616 2.4547 .89800
1.89283 2.5119 .92103
1.85890 2.5704 .94406
1.83043 2.6303 .96709
1.85724 2.6915 .99009
1.88505 2.7542 1.01312
1.77733 2.8184 1.03616
1.69180 2.8840 1.05917
1.76313 2.9512 1.08221
1.78077 3.0199 1.10522
1.74368 3.0903 1.12826
1.76858 3.1623 1.15129
1.91199 3.2359 1.17430
1.89218 3.3113 1.19734
1.85754 3.3884 1.22035
1.84201 3.4674 1.24340
1.72153 3.5481 1.26641
1.73611 3.6308 1.28945
1.78069 3.7153 1.31245
1.76714 3.8019 1.33550
1.74338 3.8904 1.35851
1.72076 3.9811 1.38155
1.76225 4.0738 1.40457
1.81493 4.1687 1.42760
1.85171 4.2658 1.45062
1.80727 4.3651 1.47364
1.63550 4.4668 1.49667
1.64390 4.5709 1.51971
1.63947 4.6773 1.54272
1.76661 4.7863 1.56575
1.75548 4.8978 1.58878
1.68376 5.0119 1.61181
1.59784 5.1286 1.63483
1.65352 5.2481 1.65786
1.68904 5.3703 1.68088
1.67658 5.4954 1.70391
1.58422 5.6234 1.72693
1.57403 5.7544 1.74996
1.59865 5.8884 1.77298
1.60265 6.0256 1.79601
1.57255 6.1659 1.81903
1.56872 6.3096 1.84207
1.57285 6.4565 1.86508
1.58116 6.6069 1.88811
1.58493 6.7608 1.91114
1.58029 6.9183 1.93417
1.55489 7.0794 1.95718
1.48551 7.2443 1.98021
1.42415 7.4131 2.00324
1.39205 7.5858 2.02627
1.38055 7.7625 2.04930
1.37548 7.9433 2.07232
1.35374 8.1283 2.09535
1.32928 8.3176 2.11837
1.32623 8.5114 2.14140
1.27869 8.7096 2.16442
1.20828 8.9125 2.18745
1.17138 9.1201 2.21048
1.17550 9.3325 2.23350
1.15527 9.5499 2.25653
1.11919 9.7723 2.27955
1.09127 10.0000 2.30258
1.00977 10.2329 2.32560
1.02664 10.4713 2.34863
1.03375 10.7152 2.37166
1.01483 10.9648 2.39469
0.96235 11.2202 2.41771
0.91432 11.4815 2.44073
0.91424 11.7489 2.46375
0.93165 12.0226 2.48678
0.96171 12.3027 2.50981
0.97677 12.5892 2.53283
0.96434 12.8825 2.55586
0.93766 13.1825 2.57889
0.91964 13.4896 2.60191
0.90807 13.8038 2.62494
0.89788 14.1253 2.64796
0.88560 14.4544 2.67099
0.87609 14.7910 2.69401
0.87397 15.1356 2.71704
0.87727 15.4881 2.74007
0.88753 15.8489 2.76310
0.90663 16.2181 2.78612
0.93287 16.5958 2.80914
0.94922 16.9824 2.83217
0.95826 17.3780 2.85520
0.94872 17.7827 2.87822
0.95501 18.1970 2.90125
0.94370 18.6208 2.92427
0.91786 19.0545 2.94730
0.87897 19.4984 2.97033
0.83182 19.9526 2.99335
0.82762 20.4173 3.01638
0.85347 20.8929 3.03940
0.86560 21.3796 3.06243
0.88492 21.8775 3.08545
0.89277 22.3871 3.10848
0.89428 22.9086 3.13151
0.87937 23.4422 3.15453
0.86698 23.9883 3.17756
0.85060 24.5470 3.20058
0.83791 25.1188 3.22361
0.83129 25.7039 3.24664
0.82787 26.3026 3.26966
0.82560 26.9153 3.29269
0.82381 27.5422 3.31571
0.82228 28.1837 3.33874
0.82094 28.8402 3.36177
0.81973 29.5120 3.38479
0.81863 30.1994 3.40782
0.81763 30.9028 3.43084
0.81680 31.6227 3.45387
0.81619 32.3593 3.47690
0.81561 33.1130 3.49992
0.81506 33.8843 3.52295
0.81455 34.6736 3.54597
0.81406 35.4812 3.56900
0.81359 36.3077 3.59202
0.81316 37.1534 3.61505
0.81274 38.0188 3.63808
0.81235 38.9044 3.66110
0.81197 39.8106 3.68413
0.81162 40.7379 3.70715
0.81128 41.6868 3.73018
0.81096 42.6578 3.75321
0.81065 43.6514 3.77623
0.81036 44.6682 3.79926
0.81009 45.7087 3.82228
0.80983 46.7733 3.84531
0.80958 47.8628 3.86833
0.80934 48.9777 3.89136
ACC: acceleration in g's
FG: the given frequencies that correspond to each acc
LFG: the natural log of the given frequencies
FN: the freq values I need to use
LFN: the log of the freq values I need to use
I would now like to create a file that has two columns: the first being the FN column (frequencies needed) and the second being the acceleration value that goes w/ that frequency using a semi log interpolation. In essence, look at the LFN column, go to the closest corresponding LFG and interpolate to find the acc that would go w/ the LFN column.thanks...another ? Suppose I have the following file:
Freq PSD
0 1.48949E-08
0.024414063 7.29445E-05
0.048828125 0.00035897
0.073242188 0.000250713
0.09765625 0.000421121
0.122070313 0.004537666
0.146484375 0.012490833
0.170898438 0.016910983
0.1953125 0.012997485
0.219726563 0.005330209
0.244140625 0.000944883
0.268554688 0.002047857
0.29296875 0.007425774
0.317382813 0.015317194
0.341796875 0.02239152
0.366210938 0.024547514
0.390625 0.022855976
0.415039063 0.023574201
0.439453125 0.027185406
0.463867188 0.025474563
0.48828125 0.015170239
0.512695313 0.004639872
0.537109375 0.00303077
0.561523438 0.011653888
0.5859375 0.025489397
0.610351563 0.036556284
0.634765625 0.040271548
0.659179688 0.040438497
0.68359375 0.041203584
0.708007813 0.03864312
0.732421875 0.02912489
0.756835938 0.017838081
0.78125 0.01102319
0.805664063 0.008213878
0.830078125 0.00612728
0.854492188 0.003158635
0.87890625 0.00055528
0.903320313 0.003230662
0.927734375 0.015962451
0.952148438 0.038356147
0.9765625 0.065970027
1.000976563 0.090864553
1.025390625 0.100140518
1.049804688 0.084746594
1.07421875 0.051924022
1.098632813 0.020593216
1.123046875 0.004491316
1.147460938 0.003895958
1.171875 0.009846116
1.196289063 0.012964832
1.220703125 0.010733054
1.245117188 0.007682353
1.26953125 0.008926689
1.293945313 0.015327938
1.318359375 0.024457867
1.342773438 0.033450125
1.3671875 0.040046021
1.391601563 0.042819916
1.416015625 0.042604423
1.440429688 0.04294279
1.46484375 0.046753294
1.489257813 0.053294518
1.513671875 0.060022002
1.538085938 0.065177353
1.5625 0.0669616
1.586914063 0.063046681
1.611328125 0.052784721
1.635742188 0.038474711
1.66015625 0.024007566
1.684570313 0.013400787
1.708984375 0.010416312
1.733398438 0.017271137
1.7578125 0.031700065
1.782226563 0.046572758
1.806640625 0.054930224
1.831054688 0.05468237
1.85546875 0.047452082
1.879882813 0.035857229
1.904296875 0.023463981
1.928710938 0.014099708
1.953125 0.009370435
1.977539063 0.008218499
2.001953125 0.008754719
2.026367188 0.009409732
2.05078125 0.009070194
2.075195313 0.007420779
2.099609375 0.005424788
2.124023438 0.004640031
2.1484375 0.005227841
2.172851563 0.005469802
2.197265625 0.004325524
2.221679688 0.004032346
2.24609375 0.009828152
2.270507813 0.026140691
2.294921875 0.050748369
2.319335938 0.073608498
2.34375 0.084436895
2.368164063 0.080266065
2.392578125 0.064790666
2.416992188 0.044684469
2.44140625 0.027353037
2.465820313 0.017282251
2.490234375 0.013384709
2.514648438 0.011770363
2.5390625 0.009828681
2.563476563 0.007161281
2.587890625 0.004885374
2.612304688 0.00422006
2.63671875 0.004816631
2.661132813 0.005403624
2.685546875 0.005938555
2.709960938 0.0074383
2.734375 0.009953846
2.758789063 0.012126814
2.783203125 0.012501646
2.807617188 0.01060304
2.83203125 0.007377648
2.856445313 0.004915566
2.880859375 0.004716644
2.905273438 0.006063091
2.9296875 0.007147713
2.954101563 0.007404212
2.978515625 0.007532599
3.002929688 0.008000885
3.02734375 0.008672846
3.051757813 0.009248109
3.076171875 0.009542535
3.100585938 0.009963653
3.125 0.011515669
3.149414063 0.014459083
3.173828125 0.017548281
3.198242188 0.019919376
3.22265625 0.023419326
3.247070313 0.031986661
3.271484375 0.048638367
3.295898438 0.072142363
3.3203125 0.09490249
3.344726563 0.10588895
3.369140625 0.099781186
3.393554688 0.083585901
3.41796875 0.071702342
3.442382813 0.073227422
3.466796875 0.083575903
3.491210938 0.088653639
3.515625 0.078426552
3.540039063 0.055970178
3.564453125 0.032582938
3.588867188 0.016723174
3.61328125 0.009366337
3.637695313 0.007032484
3.662109375 0.006462404
3.686523438 0.006656046
3.7109375 0.007564629
3.735351563 0.008406423
3.759765625 0.008392588
3.784179688 0.007963497
3.80859375 0.008045555
3.833007813 0.008743095
3.857421875 0.009361789
3.881835938 0.009182519
3.90625 0.007927535
3.930664063 0.005892274
3.955078125 0.003843571
3.979492188 0.002472711
4.00390625 0.00191024
4.028320313 0.00205271
4.052734375 0.002929626
4.077148438 0.004422022
4.1015625 0.006585198
4.125976563 0.010880183
4.150390625 0.020335084
4.174804688 0.037375793
4.19921875 0.060225299
4.223632813 0.081196625
4.248046875 0.090647953
4.272460938 0.084154871
4.296875 0.065227111
4.321289063 0.041789498
4.345703125 0.021511065
4.370117188 0.008751214
4.39453125 0.00328692
4.418945313 0.001895848
4.443359375 0.001595265
4.467773438 0.001190807
4.4921875 0.000685505
4.516601563 0.000347425
4.541015625 0.000221765
4.565429688 0.000155072
4.58984375 9.02602E-05
4.614257813 7.12745E-05
4.638671875 7.49656E-05
4.663085938 7.17454E-05
4.6875 9.7085E-05
4.711914063 0.000170962
4.736328125 0.000257547
4.760742188 0.000295963
4.78515625 0.00025735
4.809570313 0.00019907
4.833984375 0.00021065
4.858398438 0.000300179
4.8828125 0.000394201
4.907226563 0.000460316
4.931640625 0.000584949
4.956054688 0.000896361
4.98046875 0.001514763
5.004882813 0.002682703
5.029296875 0.004834947
5.053710938 0.008537774
5.078125 0.014408232
5.102539063 0.022589481
5.126953125 0.031966052
5.151367188 0.040577497
5.17578125 0.047119138
5.200195313 0.051300898
5.224609375 0.052886515
5.249023438 0.051537851
5.2734375 0.047491944
5.297851563 0.041427335
5.322265625 0.033889309
5.346679688 0.025464022
5.37109375 0.017233928
5.395507813 0.010892976
5.419921875 0.008641724
5.444335938 0.012355542
5.46875 0.021907845
5.493164063 0.034422237
5.517578125 0.045661006
5.541992188 0.052123649
5.56640625 0.052185406
5.590820313 0.046226428
5.615234375 0.036046016
5.639648438 0.023950279
5.6640625 0.012412178
5.688476563 0.004012525
5.712890625 0.000339254
5.737304688 0.000647021
5.76171875 0.002462702
5.786132813 0.003669804
5.810546875 0.003667395
5.834960938 0.002958625
5.859375 0.002217725
5.883789063 0.001686393
5.908203125 0.001233456
5.932617188 0.000784957
5.95703125 0.000450132
5.981445313 0.000319442
6.005859375 0.00038013
6.030273438 0.000594699
6.0546875 0.000980412
6.079101563 0.001615874
6.103515625 0.002564919
6.127929688 0.00385938
6.15234375 0.00554939
6.176757813 0.007751389
6.201171875 0.010818772
6.225585938 0.015139613
6.25 0.019986195
6.274414063 0.022976372
6.298828125 0.021948468
6.323242188 0.017324074
6.34765625 0.011825921
6.372070313 0.008088465
6.396484375 0.006826619
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6.4453125 0.00654439
6.469726563 0.005580908
6.494140625 0.00455579
6.518554688 0.003784578
6.54296875 0.003089959
6.567382813 0.002638782
6.591796875 0.003249041
6.616210938 0.006039208
6.640625 0.012198461
6.665039063 0.02271921
6.689453125 0.037436063
6.713867188 0.053799253
6.73828125 0.067024134
6.762695313 0.072368533
6.787109375 0.067901705
6.811523438 0.055534716
6.8359375 0.039783713
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7.006835938 0.000420823
7.03125 0.000408601
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7.104492188 0.004085884
7.12890625 0.009749386
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7.250976563 0.103587408
7.275390625 0.106675612
7.299804688 0.093593652
7.32421875 0.069173931
7.348632813 0.043073246
7.373046875 0.024342746
7.397460938 0.016194727
7.421875 0.015462774
7.446289063 0.0167011
7.470703125 0.016320464
7.495117188 0.013694701
7.51953125 0.010035587
7.543945313 0.006759731
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7.6171875 0.002194285
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7.666015625 0.00182296
7.690429688 0.001573114
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7.8125 0.001146701
7.836914063 0.000907853
7.861328125 0.000527456
7.885742188 0.000186761
7.91015625 1.30563E-05
7.934570313 5.24419E-05
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7.983398438 0.000851369
8.0078125 0.001384392
8.032226563 0.001601422
8.056640625 0.001415531
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8.642578125 7.48372E-05
8.666992188 9.97029E-05
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8.764648438 0.000935651
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10.7421875 8.65629E-06
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10.79101563 1.07433E-05
10.81542969 1.49596E-05
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I would like to find the rolling average of each value of the second column over a range of +\- 20% of the first column...which means for example: at 5.004882813 (freq) I have a PSD of 0.002682703. I would then take find the +\- 20% of 5.004882813....which is 4.00390625 and 6.005859375. I would then take the average of the PSD's over that range (from 0.00191024 to 0.00038013) which would give me a PSD of 0.017240039. Do this for each PSD value. For the front and back end of the file, if there is less 20% available....say at 0 (freq) you can only take the +20% because there is no -20%...just take that. ....Hope that makes sense..
remember...you Procyon...you said you liked these!!!!!
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