Python 2.7 如何在单个映射（python2.7）上对来自不同Lon/Lat帧的连接数据进行过多打印？
这是我在这里的第一个要求。我对Python不太熟悉，我会尽我所能让人理解。（母语为法语；） 我目前正在处理几个包含测高数据的NetCDF文件。 对于每个NetCDF文件，我将根据lon/lat阵列，用基线图绘制卫星轨迹，每个文件（即每个轨迹）的基线图不同 我试图在一张地图上画出所有这些轨迹。因此，我连接了所有NetCDF文件，并获得了所有变量的这些维度：（ntrack、Npoints、Ncycles） 我想保留第一个轨迹的lon/lat数组，以便在地图上绘制所有轨迹。在前面的代码中，我已经在循环数上做了一个循环，以获得只有二维的lon/lat阵列（ntrack，npoint） 我的问题是： 1） 我必须使用basemap中的插值函数吗 在这里，我只是使用meshgrid函数来绘制数据，但它显然不起作用，我将它与一个不需要的数组一起使用，并且在一个循环中。。。我想循环使用轨迹数（nTrack）和循环数（Ncycles），以保留数据数组中包含的所有信息，但地图上没有显示任何内容 (二) 我得到了一张lon/lat框架不正确的地图，在这个意义上，我在代码中强制平行线从纬度45°N开始，它显示纬度从0°开始（见下面的地图） [编辑1]Python 2.7 如何在单个映射（python2.7）上对来自不同Lon/Lat帧的连接数据进行过多打印？,python-2.7,concatenation,interpolation,matplotlib-basemap,Python 2.7,Concatenation,Interpolation,Matplotlib Basemap,这是我在这里的第一个要求。我对Python不太熟悉，我会尽我所能让人理解。（母语为法语；） 我目前正在处理几个包含测高数据的NetCDF文件。 对于每个NetCDF文件，我将根据lon/lat阵列，用基线图绘制卫星轨迹，每个文件（即每个轨迹）的基线图不同 我试图在一张地图上画出所有这些轨迹。因此，我连接了所有NetCDF文件，并获得了所有变量的这些维度：（ntrack、Npoints、Ncycles） 我想保留第一个轨迹的lon/lat数组，以便在地图上绘制所有轨迹。在前面的代码中，我已经在
Here is the zone for which all tracks should be plotted onto:
lonmin= -17.9882926941
lonmax= 4.60782623291
latmin= 45.
latmax= 60.7448616028
file 0 track 011
Lon(Ntracks, Npoints) <=> Lon(39, 600)
lon[0,:]=
[-17.98829269 -17.96035004 -17.9158268 -17.87090111 -17.82613754
-17.78137589 -17.73649788 -17.69123077 -17.64610481 -17.60084343
-17.55563354 -17.51044273 -17.4653244 -17.41967773 -17.37390709
-17.32869911 -17.28360939 -17.23790359 -17.19250679 -17.14686203
-17.10056877 -17.05456734 -17.00789261 -16.96157265 -16.91489029
-16.86802864 -16.82170677 -16.77542496 -16.72836304 -16.68114853
-16.63401222 -16.58691406 -16.54015732 -16.49285126 -16.44582558
-16.39826965 -16.35064316 -16.3035717 -16.25635719 -16.20870781
-16.16150856 -16.1133728 -16.06542015 -16.01705933 -15.96865177
-15.92026043 -15.87177563 -15.82310295 -15.77482033 -15.72598553
-15.67701912 -15.62811565 -15.57882786 -15.53001785 -15.48101044
-15.43181229 -15.38246822 -15.33287716 -15.28355789 -15.23418236
-15.18494129 -15.13527107 -15.0858717 -15.03561592 -14.98551655
-14.93518257 -14.88439083 -14.83401299 -14.78322983 -14.73276806
-14.68206596 -14.6312542 -14.58057022 -14.52875805 -14.47770214
-14.4268198 -14.37572861 -14.32432938 -14.27313328 -14.22089672
-14.16933823 -14.11782074 -14.06633949 -14.01482773 -13.96279335
-13.91062164 -13.8580122 -13.80557537 -13.75274754 -13.70005322
-13.64694786 -13.59441757 -13.54134083 -13.48770905 -13.43468666
-13.38124275 -13.32789707 -13.27467823 -13.22168827 -13.16738701
-13.11308289 -13.05891991 -13.00494385 -12.95111179 -12.89686108
-12.84276581 -12.78821468 -12.7339344 -12.67910194 -12.62386894
-12.56842422 -12.51327515 -12.45816803 -12.40354824 -12.34745026
-12.29209328 -12.23564339 -12.18034649 -12.12487125 -12.06906986
-12.01329899 -11.95672607 -11.8996048 -11.843297 -11.78651047
-11.73054409 -11.67354107 -11.61672497 -11.56000042 -11.50267315
-11.44525433 -11.38746643 -11.32937717 -11.27204227 -11.21484566
-11.15631771 -11.0982399 -11.0397234 -10.98154163 -10.92320538
-10.86515236 -10.80695057 -10.7475996 -10.68784046 -10.62869835
-10.56943226 -10.51098156 -10.45191383 -10.392416 -10.33296585
-10.27302551 -10.21626282 -10.16596699 -7.04195881 -6.97156954
-6.90749311 -6.84037924 -6.77310753 -6.70632839 -6.64275551
-6.5768404 -2.65448499 -2.58824921 -2.51378822 -2.43802571
-2.36123848 -2.2846365 -2.20791101 -2.13056469 -2.05158925
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-0.77846903 -0.6969139 -0.61503422 -0.53209156 -0.45091194
-0.36821485 -0.28601661 -0.20424061 -0.12195258 -0.03996643
0.0433232 0.12745281 0.21068352 0.29375839 0.37731969
0.46031842 0.54389882 0.62750047 0.71277285 0.79772025
0.88338596 0.9679296 1.05336332 1.13906097 1.22359383
1.30949378 1.39461899 1.4820528 1.56847286 1.65480137
1.7418288 1.82818389 1.9145112 2.00085664 2.08809233
2.17680693 2.26604605 2.35390067 2.44224119 2.53127289
2.6189208 2.70771909 2.79608703 2.88613439 2.97592211
3.06579161 3.15590477 3.24528027 3.33474064 3.42422748
3.51482105 3.60685039 3.69885063 3.78991985 3.88147163
3.97312284 4.06450033 4.15607595 4.24770594 4.34134626
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Lat(Ntracks, Npoints) <=> Lat(39, 600)
lat[0,:]=
[ 46.67876053 46.70789719 46.75389481 46.80019379 46.84618378
46.89203644 46.93796539 46.98420334 47.03012466 47.07610321
47.12192535 47.16764069 47.21319199 47.25907135 47.30500793
47.35031509 47.39530945 47.44083023 47.48605728 47.531353
47.57711792 47.62258148 47.66851807 47.71405792 47.75978851
47.80570221 47.85082626 47.89584732 47.94157028 47.98722076
48.03278732 48.07815552 48.12312698 48.16848373 48.21348572
48.25885773 48.30422974 48.34898376 48.39368439 48.43871307
48.483181 48.52843857 48.57341003 48.61867523 48.66384888
48.70891953 48.75396347 48.79903793 48.84369659 48.88874817
48.93371582 48.97858047 49.02370453 49.06818771 49.11281586
49.1574707 49.20219421 49.2469635 49.29138947 49.33580399
49.37992096 49.42437744 49.46848297 49.51322556 49.55770111
49.60223007 49.64704132 49.69140244 49.73606491 49.78027344
49.82453156 49.86888885 49.91291809 49.95780563 50.00203705
50.04593658 50.08992004 50.13394165 50.17778397 50.22238159
50.26634979 50.31006622 50.35368347 50.39723587 50.44110489
50.4848938 50.52896881 50.57278061 50.61688232 50.66064072
50.70475006 50.74821472 50.79191589 50.8360405 50.87957764
50.92328644 50.96680832 51.0102005 51.05315399 51.09710693
51.14103317 51.18455505 51.2278862 51.27103043 51.31438446
51.35745621 51.40075684 51.44378281 51.48701477 51.53056335
51.57411957 51.61739731 51.6603775 51.70298004 51.74655151
51.78942108 51.8330307 51.87560654 51.91830826 51.96100998
52.003685 52.04676819 52.09022903 52.13286972 52.17581177
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52.64397049 52.68639755 52.72896576 52.77127838 52.81345749
52.85536957 52.89732742 52.93992615 52.98266983 53.02484894
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60.01992798 60.05369949 60.08721161 60.12124252 60.15496445
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Data(Ntracks, Npoints, Ncycles) <=> Data(39, 600, 841)
data[0,:,0]=
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59.20806121826172 59.122562408447266 58.91756057739258 -- -- -- -- -- --
56.795066833496094 56.77033996582031 56.6777229309082 -- -- -- -- -- --
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0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0]
以下是所有轨迹应绘制到的区域：
隆明=-17.9882926941
lonmax=4.60782623291
latmin=45。
latmax=60.7448616028
文件0轨道011
Lon（Ntracks，Npoints）Lon（39600）
lon[0，：]=
[-17.98829269 -17.96035004 -17.9158268 -17.87090111 -17.82613754
-17.78137589 -17.73649788 -17.69123077 -17.64610481 -17.60084343
-17.55563354 -17.51044273 -17.4653244 -17.41967773 -17.37390709
-17.32869911 -17.28360939 -17.23790359 -17.19250679 -17.14686203
-17.10056877 -17.05456734 -17.00789261 -16.96157265 -16.91489029
-16.86802864 -16.82170677 -16.77542496 -16.72836304 -16.68114853
-16.63401222 -16.58691406 -16.54015732 -16.49285126 -16.44582558
-16.39826965 -16.35064316 -16.3035717 -16.25635719 -16.20870781
-16.16150856 -16.1133728 -16.06542015 -16.01705933 -15.96865177
-15.92026043 -15.87177563 -15.82310295 -15.77482033 -15.72598553
-15.67701912 -15.62811565 -15.57882786 -15.53001785 -15.48101044
-15.43181229 -15.38246822 -15.33287716 -15.28355789 -15.23418236
-15.18494129 -15.13527107 -15.0858717 -15.03561592 -14.98551655
-14.93518257 -14.88439083 -14.83401299 -14.78322983 -14.73276806
-14.68206596 -14.6312542 -14.58057022 -14.52875805 -14.47770214
-14.4268198 -14.37572861 -14.32432938 -14.27313328 -14.22089672
-14.16933823 -14.11782074 -14.06633949 -14.01482773 -13.96279335
-13.91062164 -13.8580122 -13.80557537 -13.75274754 -13.70005322
-13.64694786 -13.59441757 -13.54134083 -13.48770905 -13.43468666
-13.38124275 -13.32789707 -13.27467823 -13.22168827 -13.16738701
-13.11308289 -13.05891991 -13.00494385 -12.95111179 -12.89686108
-12.84276581 -12.78821468 -12.7339344 -12.67910194 -12.62386894
-12.56842422 -12.51327515 -12.45816803 -12.40354824 -12.34745026
-12.29209328 -12.23564339 -12.18034649 -12.12487125 -12.06906986
-12.01329899 -11.95672607 -11.8996048 -11.843297 -11.78651047
-11.73054409 -11.67354107 -11.61672497 -11.56000042 -11.50267315
-11.44525433 -11.38746643 -11.32937717 -11.27204227 -11.21484566
-11.15631771 -11.0982399 -11.0397234 -10.98154163 -10.92320538
-10.86515236 -10.80695057 -10.7475996 -10.68784046 -10.62869835
-10.56943226 -10.51098156 -10.45191383 -10.392416 -10.33296585
-10.27302551 -10.21626282 -10.16596699 -7.04195881 -6.97156954
-6.90749311 -6.84037924 -6.77310753 -6.70632839 -6.64275551
-6.5768404 -2.65448499 -2.58824921 -2.51378822 -2.43802571
-2.36123848 -2.2846365 -2.20791101 -2.13056469 -2.05158925
-1.97271824 -1.89305627 -1.81484437 -1.73559391 -1.65574718
-1.57778573 -1.49864793 -1.41998756 -1.33994663 -1.25909233
-1.17918336 -1.09941947 -1.01876879 -0.93915391 -0.85877413
-0.77846903 -0.6969139 -0.61503422 -0.53209156 -0.45091194
-0.36821485 -0.28601661 -0.20424061 -0.12195258 -0.03996643
0.0433232 0.12745281 0.21068352 0.29375839 0.37731969
0.46031842 0.54389882 0.62750047 0.71277285 0.79772025
0.88338596 0.9679296 1.05336332 1.13906097 1.22359383
1.30949378 1.39461899 1.4820528 1.56847286 1.65480137
1.7418288 1.82818389 1.9145112 2.00085664 2.08809233
2.17680693 2.26604605 2.35390067 2.44224119 2.53127289
2.6189208 2.70771909 2.79608703 2.88613439 2.97592211
3.06579161 3.15590477 3.24528027 3.33474064 3.42422748
3.51482105 3.60685039 3.69885063 3.78991985 3.88147163
3.97312284 4.06450033 4.15607595 4.24770594 4.34134626
4.43407822 4.52639294 4.60782623 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0.
Here is the zone for which all tracks should be plotted onto:
lonmin= -17.9882926941
lonmax= 4.60782623291
latmin= 45.
latmax= 60.7448616028
file 0 track 011
Lon(Ntracks, Npoints) <=> Lon(39, 600)
lon[0,:]=
[-17.98829269 -17.96035004 -17.9158268 -17.87090111 -17.82613754
-17.78137589 -17.73649788 -17.69123077 -17.64610481 -17.60084343
-17.55563354 -17.51044273 -17.4653244 -17.41967773 -17.37390709
-17.32869911 -17.28360939 -17.23790359 -17.19250679 -17.14686203
-17.10056877 -17.05456734 -17.00789261 -16.96157265 -16.91489029
-16.86802864 -16.82170677 -16.77542496 -16.72836304 -16.68114853
-16.63401222 -16.58691406 -16.54015732 -16.49285126 -16.44582558
-16.39826965 -16.35064316 -16.3035717 -16.25635719 -16.20870781
-16.16150856 -16.1133728 -16.06542015 -16.01705933 -15.96865177
-15.92026043 -15.87177563 -15.82310295 -15.77482033 -15.72598553
-15.67701912 -15.62811565 -15.57882786 -15.53001785 -15.48101044
-15.43181229 -15.38246822 -15.33287716 -15.28355789 -15.23418236
-15.18494129 -15.13527107 -15.0858717 -15.03561592 -14.98551655
-14.93518257 -14.88439083 -14.83401299 -14.78322983 -14.73276806
-14.68206596 -14.6312542 -14.58057022 -14.52875805 -14.47770214
-14.4268198 -14.37572861 -14.32432938 -14.27313328 -14.22089672
-14.16933823 -14.11782074 -14.06633949 -14.01482773 -13.96279335
-13.91062164 -13.8580122 -13.80557537 -13.75274754 -13.70005322
-13.64694786 -13.59441757 -13.54134083 -13.48770905 -13.43468666
-13.38124275 -13.32789707 -13.27467823 -13.22168827 -13.16738701
-13.11308289 -13.05891991 -13.00494385 -12.95111179 -12.89686108
-12.84276581 -12.78821468 -12.7339344 -12.67910194 -12.62386894
-12.56842422 -12.51327515 -12.45816803 -12.40354824 -12.34745026
-12.29209328 -12.23564339 -12.18034649 -12.12487125 -12.06906986
-12.01329899 -11.95672607 -11.8996048 -11.843297 -11.78651047
-11.73054409 -11.67354107 -11.61672497 -11.56000042 -11.50267315
-11.44525433 -11.38746643 -11.32937717 -11.27204227 -11.21484566
-11.15631771 -11.0982399 -11.0397234 -10.98154163 -10.92320538
-10.86515236 -10.80695057 -10.7475996 -10.68784046 -10.62869835
-10.56943226 -10.51098156 -10.45191383 -10.392416 -10.33296585
-10.27302551 -10.21626282 -10.16596699 -7.04195881 -6.97156954
-6.90749311 -6.84037924 -6.77310753 -6.70632839 -6.64275551
-6.5768404 -2.65448499 -2.58824921 -2.51378822 -2.43802571
-2.36123848 -2.2846365 -2.20791101 -2.13056469 -2.05158925
-1.97271824 -1.89305627 -1.81484437 -1.73559391 -1.65574718
-1.57778573 -1.49864793 -1.41998756 -1.33994663 -1.25909233
-1.17918336 -1.09941947 -1.01876879 -0.93915391 -0.85877413
-0.77846903 -0.6969139 -0.61503422 -0.53209156 -0.45091194
-0.36821485 -0.28601661 -0.20424061 -0.12195258 -0.03996643
0.0433232 0.12745281 0.21068352 0.29375839 0.37731969
0.46031842 0.54389882 0.62750047 0.71277285 0.79772025
0.88338596 0.9679296 1.05336332 1.13906097 1.22359383
1.30949378 1.39461899 1.4820528 1.56847286 1.65480137
1.7418288 1.82818389 1.9145112 2.00085664 2.08809233
2.17680693 2.26604605 2.35390067 2.44224119 2.53127289
2.6189208 2.70771909 2.79608703 2.88613439 2.97592211
3.06579161 3.15590477 3.24528027 3.33474064 3.42422748
3.51482105 3.60685039 3.69885063 3.78991985 3.88147163
3.97312284 4.06450033 4.15607595 4.24770594 4.34134626
4.43407822 4.52639294 4.60782623 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. ]
Lat(Ntracks, Npoints) <=> Lat(39, 600)
lat[0,:]=
[ 46.67876053 46.70789719 46.75389481 46.80019379 46.84618378
46.89203644 46.93796539 46.98420334 47.03012466 47.07610321
47.12192535 47.16764069 47.21319199 47.25907135 47.30500793
47.35031509 47.39530945 47.44083023 47.48605728 47.531353
47.57711792 47.62258148 47.66851807 47.71405792 47.75978851
47.80570221 47.85082626 47.89584732 47.94157028 47.98722076
48.03278732 48.07815552 48.12312698 48.16848373 48.21348572
48.25885773 48.30422974 48.34898376 48.39368439 48.43871307
48.483181 48.52843857 48.57341003 48.61867523 48.66384888
48.70891953 48.75396347 48.79903793 48.84369659 48.88874817
48.93371582 48.97858047 49.02370453 49.06818771 49.11281586
49.1574707 49.20219421 49.2469635 49.29138947 49.33580399
49.37992096 49.42437744 49.46848297 49.51322556 49.55770111
49.60223007 49.64704132 49.69140244 49.73606491 49.78027344
49.82453156 49.86888885 49.91291809 49.95780563 50.00203705
50.04593658 50.08992004 50.13394165 50.17778397 50.22238159
50.26634979 50.31006622 50.35368347 50.39723587 50.44110489
50.4848938 50.52896881 50.57278061 50.61688232 50.66064072
50.70475006 50.74821472 50.79191589 50.8360405 50.87957764
50.92328644 50.96680832 51.0102005 51.05315399 51.09710693
51.14103317 51.18455505 51.2278862 51.27103043 51.31438446
51.35745621 51.40075684 51.44378281 51.48701477 51.53056335
51.57411957 51.61739731 51.6603775 51.70298004 51.74655151
51.78942108 51.8330307 51.87560654 51.91830826 51.96100998
52.003685 52.04676819 52.09022903 52.13286972 52.17581177
52.21800613 52.26076508 52.30334854 52.34573364 52.38841248
52.43110657 52.47396469 52.51687622 52.55908966 52.6010704
52.64397049 52.68639755 52.72896576 52.77127838 52.81345749
52.85536957 52.89732742 52.93992615 52.98266983 53.02484894
53.06702805 53.10857391 53.15029907 53.19232941 53.23413849
53.27612686 53.31597137 53.35136032 55.36987305 55.41225815
55.45026016 55.49019241 55.52997208 55.56932831 55.60702133
55.64598083 57.74236298 57.77462387 57.81058502 57.84719086
57.88407516 57.92087173 57.95750427 57.99436951 58.03178406
58.06901169 58.10655212 58.14322662 58.18028259 58.217453
58.25369263 58.29024124 58.32647324 58.36317825 58.40009689
58.43651962 58.47273254 58.50924683 58.5450325 58.58111572
58.61699295 58.6533699 58.68965149 58.72631073 58.76209259
58.79837036 58.8342247 58.86991501 58.9055748 58.94097137
58.97681808 59.01285934 59.04847336 59.08379364 59.11923218
59.15425873 59.18941879 59.22439575 59.26002884 59.29529953
59.33084106 59.36565399 59.40074921 59.4357872 59.47022247
59.50508499 59.53953552 59.57476807 59.60944366 59.64393997
59.67856216 59.71277618 59.74685669 59.78082275 59.81495667
59.84958267 59.88422775 59.91826248 59.95224762 59.98641968
60.01992798 60.05369949 60.08721161 60.12124252 60.15496445
60.18862534 60.22219467 60.25540161 60.28845596 60.32141876
60.35464859 60.38824463 60.42168808 60.45466614 60.48766327
60.52061844 60.55331039 60.58587646 60.61832047 60.65141296
60.68397141 60.71630478 60.7448616 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
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0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0.
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0. 0. 0. 0. 0. 0. 0.
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0. 0. 0. 0. 0. 0. 0.
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0. 0. 0. 0. 0. ]
Data(Ntracks, Npoints, Ncycles) <=> Data(39, 600, 841)
data[0,:,0]=
[-- 60.757530212402344 60.614707946777344 60.51324462890625
60.4495735168457 60.375301361083984 60.32353973388672 60.32004165649414
60.300262451171875 60.279476165771484 60.23453903198242 60.14611053466797
60.10492706298828 60.11872100830078 60.010215759277344 60.01679992675781
60.02739334106445 60.066802978515625 59.99708938598633 59.957611083984375
59.90860366821289 59.859092712402344 59.797611236572266 59.82122802734375
59.76555252075195 59.80582809448242 59.78395462036133 59.772483825683594
59.69769287109375 59.66111373901367 59.69377136230469 59.59833526611328
59.56122970581055 59.4196662902832 59.33363342285156 -- 59.148193359375
59.139976501464844 59.07219314575195 59.00056838989258 58.96044158935547
58.793479919433594 58.71685028076172 58.660919189453125 58.6155891418457
58.58014678955078 58.54222106933594 58.41620635986328 58.34292221069336
58.252777099609375 58.19034957885742 58.19147872924805 58.04945755004883
57.993141174316406 57.881595611572266 57.75284194946289 57.673988342285156
57.546085357666016 57.44636917114258 57.33456802368164 57.22673034667969
57.17810821533203 57.060855865478516 56.996437072753906 56.93328094482422
56.91613006591797 56.93352508544922 56.90220260620117 56.9296760559082
56.91029739379883 56.85015106201172 56.861961364746094 56.836082458496094
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59.95542526245117 59.99937057495117 60.070919036865234 60.03804016113281
59.97809600830078 59.87148666381836 59.790035247802734 --
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59.64723587036133 59.79397201538086 59.94666290283203 60.14747619628906
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60.656070709228516 60.633262634277344 60.578800201416016 60.46556091308594
60.39137268066406 60.31590270996094 60.23550033569336 60.143409729003906
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59.85647201538086 59.7867317199707 59.73897933959961 59.61933517456055
59.55458068847656 59.484127044677734 59.402469635009766 59.34931945800781
59.20806121826172 59.122562408447266 58.91756057739258 -- -- -- -- -- --
56.795066833496094 56.77033996582031 56.6777229309082 -- -- -- -- -- --
49.40351486206055 49.361656188964844 49.281063079833984 49.14778137207031
49.10255813598633 49.08881378173828 49.0178337097168 49.016841888427734
49.01139450073242 49.05029296875 49.02135467529297 49.01438522338867
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46.73429489135742 46.767398834228516 46.6992301940918 46.69961929321289
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46.001495361328125 45.91263961791992 45.77867126464844 45.679054260253906
45.52286148071289 45.441471099853516 45.2866325378418 45.193050384521484
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44.883846282958984 44.94137191772461 45.078712463378906 45.230037689208984
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for track in range(Ntracks):
x, y = m(*np.meshgrid( lon[track,:], lat[track,:] ))
y = y.T
m.plot(x, y, marker= '.')