我想要生成描述身体在一系列日期范围内的运动的方位角 - 仰角图。在下面的示例图中,我使用标准matplotlib调用对数据进行了极坐标绘图。但是,我想以编程方式向某些点添加tic标记和文本标签来注释与数据关联的日期。这些被添加到使用Gimp的下图中。为数据点添加注释
理想情况下,我希望tic标记可以绘制到曲线位置,但它们可以垂直或水平放置,如果我可以使用现有的matplotlib函数调用它们。但是,我一直无法找到一组这样做的功能。有这样的事情,还是我需要写我自己的?
from matplotlib.pyplot import *
azel = [(0.13464431952125472,294.0475121469728,41761.31282856121),
(1.0847050101323694, 294.07215546949817, 41762.31339111264),
(2.0568066678342625, 294.08166309282285, 41763.3139526239),
(3.0241776724839813, 294.07688196040385, 41764.3145128838),
(3.9693016837899107, 294.05876829872494, 41765.315071676574),
(4.880729810599228, 294.0283602965401, 41766.315628782446),
(5.750685455655052, 293.98677810487305, 41767.31618397785),
(6.573500415719916, 293.93516919550444, 41768.316737037436),
(7.344961744736395, 293.8748176439982, 41769.31728773474),
(8.061838763227069, 293.80692556364824, 41770.317835842376),
(8.7216239379929, 293.732913633802, 41771.31838113272),
(9.322354443421153, 293.65412057153674, 41772.31892337514),
(9.862485802985763, 293.57204901846984, 41773.319462333326),
(10.340798827919878, 293.48820161621876, 41774.31999776034),
(10.756318508719481, 293.40413564791425, 41775.32052939467),
(11.108256812309081, 293.3215176797138, 41776.32105695697),
(11.395961455622944, 293.2420689192882, 41777.321580147836),
(11.618873216922772, 293.16759253657835, 41778.32209864656),
(11.776501176361972, 293.09997366379525, 41779.322612110234),
(11.868395395228971, 293.04117939541976, 41780.32312017416),
(11.894134963116164, 292.9932041466896, 41781.32362245329),
(11.853317752636167, 292.95820625738247, 41782.324118542434),
(11.745559565648168, 292.9383167465194, 41783.32460801967),
(11.57050010967345, 292.9358305576615, 41784.325090448285),
(11.327811535631849, 292.95306995512664, 41785.32556538106),
(11.01721978218292, 292.9923298824759, 41786.32603236289),
(10.638530188935318, 293.0560692078104, 41787.32649093496),
(10.191665062487234, 293.1466921577181, 41788.32694063783),
(9.676711487750586, 293.26663027954356, 41789.32738101277),
(9.093982799653546, 293.4182877998745, 41790.32781160377),
(8.444096276542357, 293.6040416245422, 41791.328231959254),
(7.728075593018872, 293.82621401786434, 41792.328641632426),
(6.947485289289849, 294.08704528188883, 41793.32904018317),
(6.104631834860636, 294.3886391148799, 41794.329427178716),
(5.202865010632301, 294.7329352905619, 41795.3298021964),
(4.247126458469349, 295.12173697887573, 41796.3301648264),
(3.2448043086196177, 295.55651950068204, 41797.3305146729),
(2.2076748744292662, 296.0385122900315, 41798.3308513581),
(1.1552935211005704, 296.56867157340787, 41799.33117452266),
(0.12014145335536401, 297.1474344829181, 41800.33148382535)]
fig = figure()
ax = fig.add_subplot(1,1,1,projection='polar')
ax.plot([az for el,az,_ in azel], [el for el,az,_ in azel])
ylim([0,25])
show()
谢谢,但其实这就是我顺从地贯彻因为我无法找到matplotlib一个内置能力的技术。 – sizzzzlerz