Home » Archived » BIRT » Why can I not plot 2 series with different data points ?
| Why can I not plot 2 series with different data points ? [message #514199] |
Fri, 12 February 2010 14:07  |
Eclipse User |
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Hi
I need to plot data for some time series data and super-impose model on the data.
The model has much more points then the original time series (since otherwise it will not look smooth).
How can I plot these 2 series in same plot ?
I failed to see any example in documentation; the plots with 2 series always assume same number of points.
thanks
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| Re: Why can I not plot 2 series with different data points ? [message #515245 is a reply to message #514752] |
Thu, 18 February 2010 04:43  |
| Eclipse User |
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Hi Jason
I am adding the datasets here. The first one is a light curve with phase on x axis, and magnitude on Y. The second one is a model of the light curve e.g. modeled phase on x-axis, and modeled magnitude on Y.
Naturally model has much more data points as otherwise the fitting would not look good.
And what I need to do is to plot these 2 curves in superimposed style.
Thanks a lot for help.
Dataset 1:
phase array =
Folded phases:
[0.0, 0.017531390919086138, 0.05560741622402256, 0.05869382590987484, 0.060309646559399424, 0.06992341398800736, 0.09161709399602014, 0.09171333034093404, 0.0970098497299489, 0.10716578773226558, 0.10902671499573666, 0.11106038560924453, 0.12236023791660341, 0.16080356822562322, 0.1638899779114755, 0.19683602133102804, 0.20079350599761162, 0.2143697889936257, 0.216183076612701, 0.2297014069844374, 0.23660397605128194, 0.2796890968411272, 0.28699781035873884, 0.29772989472941636, 0.3021186655648739, 0.30606311899735644, 0.3116589719886564, 0.3196627028614754, 0.3291570734668292, 0.3349710199841822, 0.34897480673774, 0.36453656191279876, 0.37429470399302534, 0.3785112301340738, 0.39770298834014634, 0.402926046731017, 0.40569899691694994, 0.4074617395627629, 0.4150898339930931, 0.41685512398357577, 0.4169031216121684, 0.4239885834208993, 0.43739748204889356, 0.45417095873934066, 0.4561788079991001, 0.46864373645141216, 0.46958579191811106, 0.4794173949964818, 0.4807029858465338, 0.4838543041453253, 0.49482247397875645, 0.5030460623380353, 0.5105278439144673, 0.5149958366435369, 0.5204329079976634, 0.5291112744243558, 0.5477986769980054, 0.5613749599940195, 0.5616921048613824, 0.5857522158384837, 0.6001655479833268, 0.6083287065585187, 0.6394157709940256, 0.6529948289996061, 0.6669617178611272, 0.6704527589138669, 0.6959065167333085, 0.7135248585601194, 0.721226413995275, 0.739125672355908, 0.7446346983357147, 0.7497646802344611, 0.7639082926058811, 0.7755019889191792, 0.7845495750388946, 0.8012495907311975, 0.81533948152141, 0.8166644239099679, 0.8264960269950198, 0.827487773845814, 0.8499777723336037, 0.8503314168269483, 0.8538617959953619, 0.8674613798661621, 0.8691044446074817, 0.8897457270404951, 0.9204621725248665, 0.9329043088418472, 0.947023796980751, 0.9550400335596546, 0.9556010298333745, 0.9589844869988184, 0.9646538009882625]
magnitude array =
[6.213500022888184, 6.289999961853027, 6.335899829864502, 6.269100189208984, 6.322500228881836, 6.303899765014648, 6.2789998054504395, 6.108500003814697, 6.304500102996826, 6.264500141143799, 6.210000038146973, 6.212100028991699, 6.243199825286865, 6.24370002746582, 6.220699787139893, 6.092400074005127, 6.092599868774414, 6.200799942016602, 6.044099807739258, 6.030300140380859, 6.045599937438965, 6.119200229644775, 6.152299880981445, 6.104899883270264, 6.089600086212158, 6.156099796295166, 6.019599914550781, 6.212399959564209, 6.091000080108643, 6.049099922180176, 6.120299816131592, 6.128300189971924, 6.144999980926514, 6.055799961090088, 6.224899768829346, 6.087699890136719, 6.15310001373291, 6.074399948120117, 6.170000076293945, 6.076200008392334, 6.120999813079834, 6.098599910736084, 6.142499923706055, 6.133900165557861, 6.1971001625061035, 6.23960018157959, 6.146699905395508, 6.150000095367432, 6.272900104522705, 6.107900142669678, 6.204699993133545, 6.2846999168396, 6.186800003051758, 6.192599773406982, 6.1844000816345215, 6.188199996948242, 6.2866997718811035, 6.2332000732421875, 6.275199890136719, 6.297399997711182, 6.267199993133545, 6.215400218963623, 6.230400085449219, 6.321199893951416, 6.2982001304626465, 6.2378997802734375, 6.2606000900268555, 6.2967000007629395, 6.257400035858154, 6.326099872589111, 6.320499897003174, 6.289299964904785, 6.340099811553955, 6.279300212860107, 6.347400188446045, 6.306000232696533, 6.3765997886657715, 6.2947998046875, 6.304100036621094, 6.326900005340576, 6.305300235748291, 6.3221001625061035, 6.317999839782715, 6.253600120544434, 6.357500076293945, 6.346199989318848, 6.377399921417236, 6.2453999519348145, 6.3566999435424805, 6.365499973297119, 6.242000102996826, 6.2505998611450195, 6.356500148773193]
Dataset 2:
phase array =
[0.0, 0.0020, 0.0040, 0.0060, 0.0080, 0.01, 0.012, 0.014, 0.016, 0.018, 0.02, 0.022, 0.024, 0.026, 0.028, 0.03, 0.032, 0.034, 0.036, 0.038, 0.04, 0.042, 0.044, 0.046, 0.048, 0.05, 0.052, 0.054, 0.056, 0.058, 0.06, 0.062, 0.064, 0.066, 0.068, 0.07, 0.072, 0.074, 0.076, 0.078, 0.08, 0.082, 0.084, 0.086, 0.088, 0.09, 0.092, 0.094, 0.096, 0.098, 0.1, 0.102, 0.104, 0.106, 0.108, 0.11, 0.112, 0.114, 0.116, 0.118, 0.12, 0.122, 0.124, 0.126, 0.128, 0.13, 0.132, 0.134, 0.136, 0.138, 0.14, 0.142, 0.144, 0.146, 0.148, 0.15, 0.152, 0.154, 0.156, 0.158, 0.16, 0.162, 0.164, 0.166, 0.168, 0.17, 0.172, 0.174, 0.176, 0.178, 0.18, 0.182, 0.184, 0.186, 0.188, 0.19, 0.192, 0.194, 0.196, 0.198, 0.2, 0.202, 0.204, 0.206, 0.208, 0.21, 0.212, 0.214, 0.216, 0.218, 0.22, 0.222, 0.224, 0.226, 0.228, 0.23, 0.232, 0.234, 0.236, 0.238, 0.24, 0.242, 0.244, 0.246, 0.248, 0.25, 0.252, 0.254, 0.256, 0.258, 0.26, 0.262, 0.264, 0.266, 0.268, 0.27, 0.272, 0.274, 0.276, 0.278, 0.28, 0.282, 0.284, 0.286, 0.288, 0.29, 0.292, 0.294, 0.296, 0.298, 0.3, 0.302, 0.304, 0.306, 0.308, 0.31, 0.312, 0.314, 0.316, 0.318, 0.32, 0.322, 0.324, 0.326, 0.328, 0.33, 0.332, 0.334, 0.336, 0.338, 0.34, 0.342, 0.344, 0.346, 0.348, 0.35, 0.352, 0.354, 0.356, 0.358, 0.36, 0.362, 0.364, 0.366, 0.368, 0.37, 0.372, 0.374, 0.376, 0.378, 0.38, 0.382, 0.384, 0.386, 0.388, 0.39, 0.392, 0.394, 0.396, 0.398, 0.4, 0.402, 0.404, 0.406, 0.408, 0.41, 0.412, 0.414, 0.416, 0.418, 0.42, 0.422, 0.424, 0.426, 0.428, 0.43, 0.432, 0.434, 0.436, 0.438, 0.44, 0.442, 0.444, 0.446, 0.448, 0.45, 0.452, 0.454, 0.456, 0.458, 0.46, 0.462, 0.464, 0.466, 0.468, 0.47, 0.472, 0.474, 0.476, 0.478, 0.48, 0.482, 0.484, 0.486, 0.488, 0.49, 0.492, 0.494, 0.496, 0.498, 0.5, 0.502, 0.504, 0.506, 0.508, 0.51, 0.512, 0.514, 0.516, 0.518, 0.52, 0.522, 0.524, 0.526, 0.528, 0.53, 0.532, 0.534, 0.536, 0.538, 0.54, 0.542, 0.544, 0.546, 0.548, 0.55, 0.552, 0.554, 0.556, 0.558, 0.56, 0.562, 0.564, 0.566, 0.568, 0.57, 0.572, 0.574, 0.576, 0.578, 0.58, 0.582, 0.584, 0.586, 0.588, 0.59, 0.592, 0.594, 0.596, 0.598, 0.6, 0.602, 0.604, 0.606, 0.608, 0.61, 0.612, 0.614, 0.616, 0.618, 0.62, 0.622, 0.624, 0.626, 0.628, 0.63, 0.632, 0.634, 0.636, 0.638, 0.64, 0.642, 0.644, 0.646, 0.648, 0.65, 0.652, 0.654, 0.656, 0.658, 0.66, 0.662, 0.664, 0.666, 0.668, 0.67, 0.672, 0.674, 0.676, 0.678, 0.68, 0.682, 0.684, 0.686, 0.688, 0.69, 0.692, 0.694, 0.696, 0.698, 0.7, 0.702, 0.704, 0.706, 0.708, 0.71, 0.712, 0.714, 0.716, 0.718, 0.72, 0.722, 0.724, 0.726, 0.728, 0.73, 0.732, 0.734, 0.736, 0.738, 0.74, 0.742, 0.744, 0.746, 0.748, 0.75, 0.752, 0.754, 0.756, 0.758, 0.76, 0.762, 0.764, 0.766, 0.768, 0.77, 0.772, 0.774, 0.776, 0.778, 0.78, 0.782, 0.784, 0.786, 0.788, 0.79, 0.792, 0.794, 0.796, 0.798, 0.8, 0.802, 0.804, 0.806, 0.808, 0.81, 0.812, 0.814, 0.816, 0.818, 0.82, 0.822, 0.824, 0.826, 0.828, 0.83, 0.832, 0.834, 0.836, 0.838, 0.84, 0.842, 0.844, 0.846, 0.848, 0.85, 0.852, 0.854, 0.856, 0.858, 0.86, 0.862, 0.864, 0.866, 0.868, 0.87, 0.872, 0.874, 0.876, 0.878, 0.88, 0.882, 0.884, 0.886, 0.888, 0.89, 0.892, 0.894, 0.896, 0.898, 0.9, 0.902, 0.904, 0.906, 0.908, 0.91, 0.912, 0.914, 0.916, 0.918, 0.92, 0.922, 0.924, 0.926, 0.928, 0.93, 0.932, 0.934, 0.936, 0.938, 0.94, 0.942, 0.944, 0.946, 0.948, 0.95, 0.952, 0.954, 0.956, 0.958, 0.96, 0.962, 0.964, 0.966, 0.968, 0.97, 0.972, 0.974, 0.976, 0.978, 0.98, 0.982, 0.984, 0.986, 0.988, 0.99, 0.992, 0.994, 0.996, 0.998, 1.0]
magnitude array =
[6.238234786497262, 6.2393397988124555, 6.240429826166061, 6.241504829807738, 6.242564780847432, 6.243609660170966, 6.244639458349409, 6.245654175542306, 6.24665382139484, 6.247638414929006, 6.248607984428889, 6.24956256732013, 6.25050221004367, 6.251426967923875, 6.252336905031133, 6.253232094039036, 6.254112616076239, 6.254978560570259, 6.255830025100556, 6.256667115217779, 6.257489944287115, 6.2582986333123785, 6.259093310758405, 6.259874112368962, 6.260641180980319, 6.261394666330592, 6.262134724865013, 6.262861519537259, 6.263575219606981, 6.2642760004336795, 6.264964043267062, 6.265639535034049, 6.266302668122564, 6.266953640162258, 6.267592653802338, 6.26821991648664, 6.268835640226105, 6.269440041368836, 6.270033340367858, 6.270615761546792, 6.271187532863563, 6.271748885672328, 6.272300054483785, 6.272841276724036, 6.2733727924921485, 6.273894844316614, 6.274407676910847, 6.27491153692791, 6.275406672714615, 6.275893334065199, 6.276371771974714, 6.276842238390757, 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6.086043442386643, 6.0858482193643555, 6.085687178566383, 6.085560298897401, 6.085467545723405, 6.085408870911702, 6.085384212878174, 6.085393496641745, 6.085436633886045, 6.085513523028207, 6.085624049294778, 6.085768084804656, 6.085945488659039, 6.086156107038303, 6.086399773305748, 6.086676308118166, 6.0869855195431235, 6.087327203182926, 6.087701142305148, 6.088107107979679, 6.08854485922217, 6.089014143143804, 6.089514695107309, 6.090046238889079, 6.090608486845417, 6.09120114009423, 6.091823888683666, 6.092476411785125, 6.093158377882623, 6.0938694449694575, 6.094609260750208, 6.095377462847965, 6.09617367901665, 6.096997527358293, 6.097848616545139, 6.098726546046447, 6.099630906359828, 6.100561279247004, 6.101517237973808, 6.102498347554323, 6.103504164998958, 6.104534239566353, 6.105588113018932, 6.1066653198819605, 6.10776538770593, 6.108887837332142, 6.110032183161292, 6.111197933424915, 6.112384590459515, 6.1135916509832136, 6.114818606374754, 6.116064942954675, 6.117330142268507, 6.118613681371795, 6.119915033116793, 6.121233666440638, 6.12256904665485, 6.123920635731421, 6.125287892612528, 6.126670273475818, 6.128067232045412, 6.129478219880836, 6.130902686670706, 6.132340080526478, 6.13378984827611, 6.13525143575744, 6.136724288111118, 6.138207850072906, 6.139701566265171, 6.141204881487409, 6.142717241005607, 6.14423809084028, 6.145766878053018, 6.147303051031359, 6.148846059771816, 6.150395356160914, 6.151950394254038, 6.153510630551947, 6.155075524274789, 6.15664453763344, 6.158217136098025, 6.159792788663458, 6.16137096811183, 6.1629511512715105, 6.164532819272805, 6.166115457800004, 6.167698557339705, 6.169281613425229, 6.170864126877021, 6.172445604038868, 6.174025557009825, 6.175603503866416, 6.177178968906621, 6.178751482836455, 6.1803205830044385, 6.181885813604759, 6.1834467258806445, 6.185002878322555, 6.186553836861078, 6.188099175054438, 6.189638474270484, 6.191171323863088, 6.192697321342829, 6.194216072541887, 6.19572719177305, 6.197230301982737, 6.198725034897988, 6.2002110311672975, 6.201687940495249, 6.203155421770878, 6.204613143189677, 6.2060607823692004, 6.207498026458203, 6.208924572239258, 6.210340126224806, 6.21174440474659, 6.213137134038432, 6.214518050312315, 6.215886899827746, 6.2172434389543545, 6.2185874342277225, 6.219918662398404, 6.221236910474144, 6.222541975755261, 6.223833665863204, 6.225111798758028, 6.226376202770316, 6.227626716583627, 6.228863189252864, 6.230085480194435, 6.231293459173925, 6.232487006287001, 6.233666011933604, 6.23483037678543, 6.235980011746766, 6.237114837908693, 6.238234786496727]
|
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| Re: Why can I not plot 2 series with different data points ? [message #515340 is a reply to message #515245] |
Thu, 18 February 2010 09:05 |
| Eclipse User |
|
|
|
Neerahi,
Charts can only be tied to one dataset. If you are getting this data
into BIRT from csv files, can you create one csv file with this format:
phase1, mag1, phase2, mag2 newline
You can build joint datasets that combine datasets, but for csv this is
a bit slower. So you could have
file one
phase1, mag1 newline
file two
phase2, mag2, newline
Can you create one of the scenarios above and email to me at
jasonweathersby at windstream dot net?
Jason
neerahi wrote:
> Hi Jason
>
> I am adding the datasets here. The first one is a light curve with phase
> on x axis, and magnitude on Y. The second one is a model of the light
> curve e.g. modeled phase on x-axis, and modeled magnitude on Y.
> Naturally model has much more data points as otherwise the fitting would
> not look good.
>
> And what I need to do is to plot these 2 curves in superimposed style.
>
> Thanks a lot for help.
>
> Dataset 1:
>
> phase array = Folded phases:
> [0.0, 0.017531390919086138, 0.05560741622402256, 0.05869382590987484,
> 0.060309646559399424, 0.06992341398800736, 0.09161709399602014,
> 0.09171333034093404, 0.0970098497299489, 0.10716578773226558,
> 0.10902671499573666, 0.11106038560924453, 0.12236023791660341,
> 0.16080356822562322, 0.1638899779114755, 0.19683602133102804,
> 0.20079350599761162, 0.2143697889936257, 0.216183076612701,
> 0.2297014069844374, 0.23660397605128194, 0.2796890968411272,
> 0.28699781035873884, 0.29772989472941636, 0.3021186655648739,
> 0.30606311899735644, 0.3116589719886564, 0.3196627028614754,
> 0.3291570734668292, 0.3349710199841822, 0.34897480673774,
> 0.36453656191279876, 0.37429470399302534, 0.3785112301340738,
> 0.39770298834014634, 0.402926046731017, 0.40569899691694994,
> 0.4074617395627629, 0.4150898339930931, 0.41685512398357577,
> 0.4169031216121684, 0.4239885834208993, 0.43739748204889356,
> 0.45417095873934066, 0.4561788079991001, 0.46864373645141216,
> 0.46958579191811106, 0.4794173949964818, 0.4807029858465338,
> 0.4838543041453253, 0.49482247397875645, 0.5030460623380353,
> 0.5105278439144673, 0.5149958366435369, 0.5204329079976634,
> 0.5291112744243558, 0.5477986769980054, 0.5613749599940195,
> 0.5616921048613824, 0.5857522158384837, 0.6001655479833268,
> 0.6083287065585187, 0.6394157709940256, 0.6529948289996061,
> 0.6669617178611272, 0.6704527589138669, 0.6959065167333085,
> 0.7135248585601194, 0.721226413995275, 0.739125672355908,
> 0.7446346983357147, 0.7497646802344611, 0.7639082926058811,
> 0.7755019889191792, 0.7845495750388946, 0.8012495907311975,
> 0.81533948152141, 0.8166644239099679, 0.8264960269950198,
> 0.827487773845814, 0.8499777723336037, 0.8503314168269483,
> 0.8538617959953619, 0.8674613798661621, 0.8691044446074817,
> 0.8897457270404951, 0.9204621725248665, 0.9329043088418472,
> 0.947023796980751, 0.9550400335596546, 0.9556010298333745,
> 0.9589844869988184, 0.9646538009882625]
>
> magnitude array =
> [6.213500022888184, 6.289999961853027, 6.335899829864502,
> 6.269100189208984, 6.322500228881836, 6.303899765014648,
> 6.2789998054504395, 6.108500003814697, 6.304500102996826,
> 6.264500141143799, 6.210000038146973, 6.212100028991699,
> 6.243199825286865, 6.24370002746582, 6.220699787139893,
> 6.092400074005127, 6.092599868774414, 6.200799942016602,
> 6.044099807739258, 6.030300140380859, 6.045599937438965,
> 6.119200229644775, 6.152299880981445, 6.104899883270264,
> 6.089600086212158, 6.156099796295166, 6.019599914550781,
> 6.212399959564209, 6.091000080108643, 6.049099922180176,
> 6.120299816131592, 6.128300189971924, 6.144999980926514,
> 6.055799961090088, 6.224899768829346, 6.087699890136719,
> 6.15310001373291, 6.074399948120117, 6.170000076293945,
> 6.076200008392334, 6.120999813079834, 6.098599910736084,
> 6.142499923706055, 6.133900165557861, 6.1971001625061035,
> 6.23960018157959, 6.146699905395508, 6.150000095367432,
> 6.272900104522705, 6.107900142669678, 6.204699993133545,
> 6.2846999168396, 6.186800003051758, 6.192599773406982,
> 6.1844000816345215, 6.188199996948242, 6.2866997718811035,
> 6.2332000732421875, 6.275199890136719, 6.297399997711182,
> 6.267199993133545, 6.215400218963623, 6.230400085449219,
> 6.321199893951416, 6.2982001304626465, 6.2378997802734375,
> 6.2606000900268555, 6.2967000007629395, 6.257400035858154,
> 6.326099872589111, 6.320499897003174, 6.289299964904785,
> 6.340099811553955, 6.279300212860107, 6.347400188446045,
> 6.306000232696533, 6.3765997886657715, 6.2947998046875,
> 6.304100036621094, 6.326900005340576, 6.305300235748291,
> 6.3221001625061035, 6.317999839782715, 6.253600120544434,
> 6.357500076293945, 6.346199989318848, 6.377399921417236,
> 6.2453999519348145, 6.3566999435424805, 6.365499973297119,
> 6.242000102996826, 6.2505998611450195, 6.356500148773193]
>
>
> Dataset 2:
>
> phase array =
>
> [0.0, 0.0020, 0.0040, 0.0060, 0.0080, 0.01, 0.012, 0.014, 0.016, 0.018,
> 0.02, 0.022, 0.024, 0.026, 0.028, 0.03, 0.032, 0.034, 0.036, 0.038,
> 0.04, 0.042, 0.044, 0.046, 0.048, 0.05, 0.052, 0.054, 0.056, 0.058,
> 0.06, 0.062, 0.064, 0.066, 0.068, 0.07, 0.072, 0.074, 0.076, 0.078,
> 0.08, 0.082, 0.084, 0.086, 0.088, 0.09, 0.092, 0.094, 0.096, 0.098, 0.1,
> 0.102, 0.104, 0.106, 0.108, 0.11, 0.112, 0.114, 0.116, 0.118, 0.12,
> 0.122, 0.124, 0.126, 0.128, 0.13, 0.132, 0.134, 0.136, 0.138, 0.14,
> 0.142, 0.144, 0.146, 0.148, 0.15, 0.152, 0.154, 0.156, 0.158, 0.16,
> 0.162, 0.164, 0.166, 0.168, 0.17, 0.172, 0.174, 0.176, 0.178, 0.18,
> 0.182, 0.184, 0.186, 0.188, 0.19, 0.192, 0.194, 0.196, 0.198, 0.2,
> 0.202, 0.204, 0.206, 0.208, 0.21, 0.212, 0.214, 0.216, 0.218, 0.22,
> 0.222, 0.224, 0.226, 0.228, 0.23, 0.232, 0.234, 0.236, 0.238, 0.24,
> 0.242, 0.244, 0.246, 0.248, 0.25, 0.252, 0.254, 0.256, 0.258, 0.26,
> 0.262, 0.264, 0.266, 0.268, 0.27, 0.272, 0.274, 0.276, 0.278, 0.28,
> 0.282, 0.284, 0.286, 0.288, 0.29, 0.292, 0.294, 0.296, 0.298, 0.3,
> 0.302, 0.304, 0.306, 0.308, 0.31, 0.312, 0.314, 0.316, 0.318, 0.32,
> 0.322, 0.324, 0.326, 0.328, 0.33, 0.332, 0.334, 0.336, 0.338, 0.34,
> 0.342, 0.344, 0.346, 0.348, 0.35, 0.352, 0.354, 0.356, 0.358, 0.36,
> 0.362, 0.364, 0.366, 0.368, 0.37, 0.372, 0.374, 0.376, 0.378, 0.38,
> 0.382, 0.384, 0.386, 0.388, 0.39, 0.392, 0.394, 0.396, 0.398, 0.4,
> 0.402, 0.404, 0.406, 0.408, 0.41, 0.412, 0.414, 0.416, 0.418, 0.42,
> 0.422, 0.424, 0.426, 0.428, 0.43, 0.432, 0.434, 0.436, 0.438, 0.44,
> 0.442, 0.444, 0.446, 0.448, 0.45, 0.452, 0.454, 0.456, 0.458, 0.46,
> 0.462, 0.464, 0.466, 0.468, 0.47, 0.472, 0.474, 0.476, 0.478, 0.48,
> 0.482, 0.484, 0.486, 0.488, 0.49, 0.492, 0.494, 0.496, 0.498, 0.5,
> 0.502, 0.504, 0.506, 0.508, 0.51, 0.512, 0.514, 0.516, 0.518, 0.52,
> 0.522, 0.524, 0.526, 0.528, 0.53, 0.532, 0.534, 0.536, 0.538, 0.54,
> 0.542, 0.544, 0.546, 0.548, 0.55, 0.552, 0.554, 0.556, 0.558, 0.56,
> 0.562, 0.564, 0.566, 0.568, 0.57, 0.572, 0.574, 0.576, 0.578, 0.58,
> 0.582, 0.584, 0.586, 0.588, 0.59, 0.592, 0.594, 0.596, 0.598, 0.6,
> 0.602, 0.604, 0.606, 0.608, 0.61, 0.612, 0.614, 0.616, 0.618, 0.62,
> 0.622, 0.624, 0.626, 0.628, 0.63, 0.632, 0.634, 0.636, 0.638, 0.64,
> 0.642, 0.644, 0.646, 0.648, 0.65, 0.652, 0.654, 0.656, 0.658, 0.66,
> 0.662, 0.664, 0.666, 0.668, 0.67, 0.672, 0.674, 0.676, 0.678, 0.68,
> 0.682, 0.684, 0.686, 0.688, 0.69, 0.692, 0.694, 0.696, 0.698, 0.7,
> 0.702, 0.704, 0.706, 0.708, 0.71, 0.712, 0.714, 0.716, 0.718, 0.72,
> 0.722, 0.724, 0.726, 0.728, 0.73, 0.732, 0.734, 0.736, 0.738, 0.74,
> 0.742, 0.744, 0.746, 0.748, 0.75, 0.752, 0.754, 0.756, 0.758, 0.76,
> 0.762, 0.764, 0.766, 0.768, 0.77, 0.772, 0.774, 0.776, 0.778, 0.78,
> 0.782, 0.784, 0.786, 0.788, 0.79, 0.792, 0.794, 0.796, 0.798, 0.8,
> 0.802, 0.804, 0.806, 0.808, 0.81, 0.812, 0.814, 0.816, 0.818, 0.82,
> 0.822, 0.824, 0.826, 0.828, 0.83, 0.832, 0.834, 0.836, 0.838, 0.84,
> 0.842, 0.844, 0.846, 0.848, 0.85, 0.852, 0.854, 0.856, 0.858, 0.86,
> 0.862, 0.864, 0.866, 0.868, 0.87, 0.872, 0.874, 0.876, 0.878, 0.88,
> 0.882, 0.884, 0.886, 0.888, 0.89, 0.892, 0.894, 0.896, 0.898, 0.9,
> 0.902, 0.904, 0.906, 0.908, 0.91, 0.912, 0.914, 0.916, 0.918, 0.92,
> 0.922, 0.924, 0.926, 0.928, 0.93, 0.932, 0.934, 0.936, 0.938, 0.94,
> 0.942, 0.944, 0.946, 0.948, 0.95, 0.952, 0.954, 0.956, 0.958, 0.96,
> 0.962, 0.964, 0.966, 0.968, 0.97, 0.972, 0.974, 0.976, 0.978, 0.98,
> 0.982, 0.984, 0.986, 0.988, 0.99, 0.992, 0.994, 0.996, 0.998, 1.0]
>
> magnitude array =
>
> [6.238234786497262, 6.2393397988124555, 6.240429826166061,
> 6.241504829807738, 6.242564780847432, 6.243609660170966,
> 6.244639458349409, 6.245654175542306, 6.24665382139484,
> 6.247638414929006, 6.248607984428889, 6.24956256732013,
> 6.25050221004367, 6.251426967923875, 6.252336905031133,
> 6.253232094039036, 6.254112616076239, 6.254978560570259,
> 6.255830025100556, 6.256667115217779, 6.257489944287115,
> 6.2582986333123785, 6.259093310758405, 6.259874112368962,
> 6.260641180980319, 6.261394666330592, 6.262134724865013,
> 6.262861519537259, 6.263575219606981, 6.2642760004336795,
> 6.264964043267062, 6.265639535034049, 6.266302668122564,
> 6.266953640162258, 6.267592653802338, 6.26821991648664,
> 6.268835640226105, 6.269440041368836, 6.270033340367858,
> 6.270615761546792, 6.271187532863563, 6.271748885672328,
> 6.272300054483785, 6.272841276724036, 6.2733727924921485,
> 6.273894844316614, 6.274407676910847, 6.27491153692791,
> 6.275406672714615, 6.275893334065199, 6.276371771974714,
> 6.276842238390757, 6.277304985973095, 6.277760267837826,
> 6.278208337317692, 6.278649447715072, 6.2790838520572985,
> 6.27951180285289, 6.279933551848858, 6.28034934978926,
> 6.280759446175163, 6.281164089026187, 6.281563524643774,
> 6.281957997376374, 6.282347749386677, 6.282733020421079,
> 6.283114047581517, 6.283491065099838, 6.283864304114871,
> 6.284233992452323, 6.284600354407682, 6.28496361053225,
> 6.285323977422473, 6.285681667512699, 6.286036888871511,
> 6.286389845001773, 6.28674073464453, 6.287089751586887,
> 6.287437084474016, 6.287782916625397, 6.288127425855443,
> 6.288470784298614, 6.288813158239149, 6.289154707945536,
> 6.289495587509822, 6.28983594469075, 6.290175920767648,
> 6.290515650388116, 6.290855261432352, 6.2911948748771716,
> 6.291534604666611, 6.291874557588101, 6.29221483315426,
> 6.292555523490427, 6.2928967132279805, 6.293238479403543,
> 6.293580891364123, 6.293924010678281, 6.2942678910533605,
> 6.294612578258868, 6.294958110056031, 6.295304516133612,
> 6.295651818049999, 6.296000029181636, 6.296349154677823,
> 6.296699191421918, 6.2970501279989755, 6.297401944669849,
> 6.297754613351771, 6.298108097605433, 6.298462352628585,
> 6.298817325256148, 6.299172953966857, 6.299529168896432,
> 6.299885891857259, 6.300243036364606, 6.300600507669311,
> 6.3009582027969815, 6.301316010592437, 6.3016738117765785,
> 6.302031478997701, 6.302388876901142, 6.30274586219927,
> 6.303102283748977, 6.303457982635398, 6.3038127922618346,
> 6.304166538445807, 6.304519039521193, 6.304870106446374,
> 6.305219542918327, 6.305567145492605, 6.3059127037091045,
> 6.306256000223562, 6.306596810944688, 6.306934905176855,
> 6.307270045768246, 6.3076019892643735, 6.307930486066865,
> 6.308255280597422, 6.308576111466845, 6.308892711649014,
> 6.309204808659709, 6.309512124740176, 6.309814377045291,
> 6.310111277836227, 6.310402534677486, 6.310687850638173,
> 6.310966924497385, 6.311239450953573, 6.311505120837757,
> 6.311763621330441, 6.312014636182097, 6.312257845936271,
> 6.312492928159994, 6.312719557669219, 6.3129374067653945,
> 6.313146145470761, 6.313345441767157, 6.313534961837331,
> 6.313714370308629, 6.313883330498878, 6.314041504664312,
> 6.31418855424938, 6.314324140138274, 6.314447922908001,
> 6.314559563082846, 6.314658721390055, 6.314745059016566,
> 6.314818237866623, 6.314877920820103, 6.314923771991381,
> 6.314955456988579, 6.314972643172994, 6.314974999918577,
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>
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