问题描述
我需要一种方法来“总结”一组非常简单的时间序列数据的趋势。我拥有的数据是数字的小型数组。因此，对于此任务，我认为查找数据的局部最小值和最大值是个好主意，为此，我使用了Scipy的argrelextrema。
但是，我注意到最小值/最大值的数量发生了变化，即使我输入的数组大小相同，也只有值发生了变化。
这是我用来处理最小和最大点的代码：
Min = argrelextrema(Data,np.less_equal,order=1)
Max = argrelextrema(Data,np.greater_equal,order=1)
Data是一个numpy数组，此后，我将简单地合并这两个列表，以获得新的最小值和最大值点数组。
以下是一些示例：
Data = [0.01562082 0.01559678 0.01558285 0.01557904 0.01558535 0.01560178
0.01564973 0.01570132 0.01574636 0.01577308 0.01578109 0.01577718
0.01578482 0.01582784 0.01591733 0.01604655 0.01618308 0.01632583
0.01645165 0.0165331 0.01656233 0.01657383 0.01659051 0.01663495
0.01669707 0.01677208 0.01684644 0.01691019 0.01692698 0.01689828
0.01683601 0.0167794 0.01675036 0.01673833 0.01672176 0.01670325
0.01667906 0.01663228 0.0165824 0.01654845 0.0165189 0.01650002
0.01650457 0.0165023 0.01647637 0.01644021 0.01641083 0.01639389
0.01640292 0.01645308 0.01653916 0.01663476 0.01672894 0.0168041
0.01685819 0.01688975 0.01689195 0.01686738 0.01681289 0.01674656
0.01668275 0.01662218 0.01657003 0.01653403 0.01651127 0.01648644
0.01646815 0.01647403 0.01650616 0.01654718 0.01660268 0.01667546
0.01675055 0.01681478 0.01684934 0.01685311 0.01683879 0.01680271
0.01675268 0.01670577 0.01669586 0.01673116 0.01678866 0.0168687
0.01696406 0.01704584 0.01707744 0.01707247 0.01707501 0.01709555
0.01714064 0.01720552 0.01729031 0.01739978 0.01750487 0.0175807
0.0176142 0.01763469 0.01767566 0.01772319 0.01778411 0.01784948
0.01791152 0.01794561 0.01793331 0.01788523 0.01779712 0.0176765
0.01756823 0.017496 0.01748024 0.01752458 0.01760164 0.01769378
0.01778257 0.01786717 0.01791865 0.01792737 0.01794314 0.01795934
0.01801259 0.0181366 0.0182826 0.01844525 0.01860524 0.01871107
0.01880035 0.01887308 0.01892926 0.0189689 ]
请给我以下长度为17的最小值和最大值的列表：
MinMax = [0.01562082353242461,0.015579037832236124,0.01578109371304461,0.015777184677035146,0.016926976224961164,0.016500019864325727,0.016504573743351694,0.016393892856635964,0.016891952660782285,0.016468150306266152,0.01685311141681872,0.016695859906600805,0.017077441484554673,0.01707247074227736,0.01794561357320149,0.01748024377591248,0.018968898758036815]
但是，以下数据将为我提供14个最小和最大点的列表：
Data = [0.00064984 0.00065114 0.00065204 0.00065254 0.00065266 0.00065237
0.00065159 0.00065026 0.00064896 0.0006477 0.00064665 0.00064609
0.00064647 0.00064749 0.00064878 0.00065004 0.00065087 0.00065168
0.00065266 0.00065349 0.00065477 0.00065704 0.00066007 0.0006632
0.00066555 0.00066693 0.00066696 0.00066599 0.00066417 0.00066208
0.00066094 0.00066131 0.00066262 0.00066403 0.00066497 0.00066549
0.00066538 0.00066449 0.00066272 0.00066061 0.00065843 0.0006563
0.00065423 0.00065227 0.00065067 0.00064954 0.00064898 0.00064901
0.00064957 0.00065054 0.00065157 0.00065272 0.0006536 0.00065394
0.00065397 0.00065379 0.00065349 0.00065335 0.00065325 0.00065317
0.00065289 0.00065251 0.00065165 0.00065056 0.00064978 0.00064935
0.00064948 0.00065005 0.00065066 0.00065106 0.00065089 0.00065036
0.00064965 0.00064905 0.00064859 0.00064812 0.00064768 0.00064699
0.00064611 0.00064518 0.00064434 0.00064374 0.0006433 0.00064309
0.00064284 0.00064229 0.00064121 0.00064007 0.00063909 0.00063794
0.00063668 0.00063542 0.00063418 0.00063303 0.00063196 0.00063098
0.00063008 0.00062953 0.0006289 0.00062836 0.00062837 0.00062893
0.00063076 0.00063475 0.00064102 0.00064836 0.00065552 0.00066161
0.00066631 0.00066966 0.00067176 0.00067227 0.00067201 0.00067174
0.00067106 0.00066951 0.00066726 0.00066436 0.00066139 0.0006586
0.00065682 0.00065608 0.00065639 0.00065754 0.00065896 0.00065938
0.00065977 0.00066013 0.00066047 0.00066079]
输出：
MinMax = [0.0006498411504998909,0.0006526565286276228,0.0006460858205177308,0.0006669555321107541,0.0006609390367534275,0.0006654930522849102,0.0006489758439007318,0.0006539745380065707,0.0006493490211631867,0.0006510601879485751,0.0006283588262705852,0.0006722702062996666,0.0006560753432617264,0.0006607864033713336]
在某些情况下，我会得到20分；在其他情况下，我将得到8。所以我的问题是：此函数如何计算那些最小和最大点？是否取决于数据变化多少？还是取决于数据的大小或其他？有没有办法获得相同数量的积分？
解决方法
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