Question

我想平滑y使用1D样条保持x = 15周围的尖峰，但是splrep给我原始曲线而不是平滑曲线

我有1D数据

    y=[0.0,
 5.2052869332441025,
 5.0601305002509624,
 4.4754224527354864,
 4.098745189894596,
 3.8030115442529695,
 3.9431487368244937,
 3.9593776141877197,
 3.7963526852936256,
 3.075221683118621,
 2.8724109084825162,
 2.866220511962523,
 2.977279571691484,
 3.0507612514639453,
 5.463175506106743,
 3.381127656014723,
 3.501990965367241,
 3.0149573364564164,
 2.5853772795716914,
 2.7330767943784506,
 2.5419775807261167,
 2.512698678266689,
 2.299916345992973,
 2.3513468295131337,
 2.2943951815291954,
 2.1383302660197425,
 2.039049690480174,
 2.0590262673582065,
 1.763627237744688,
 1.6120461770118788,
 1.3718587920361385,
 1.3859795884222854,
 1.4755228375439184,
 1.4741174502258658,
 1.341174502258658,
 1.251095867492053,
 1.2914505604818471,
 1.171791868830517,
 1.183369583403045,
 1.2024092354023759,
 1.1481345156432994,
 1.0947632591601137,
 0.9685795549606826,
 0.9010540404885394,
 0.8684624393508449,
 0.9203948469131671,
 0.9727622553120294,
 0.9937426802743852,
 0.8627070436673917,
 0.8518989459595114,
 0.8220511962523005,
 0.763024928894094,
 0.8072946294127489,
 0.8351012213485026,
 0.8100384808432324,
 0.7550945290279404,
 0.763761084155931,
 0.7193240756232223,
 0.654642797389995,
 0.6931571022251966,
 0.7534883720930232,
 0.7887234398527689,
 0.8088338631420445,
 0.7992973063409737,
 0.6131838715074452,
 0.6243600468462439,
 0.6293458256650494,
 0.675723607160783,
 0.6525012548101055,
 0.6767943784507278,
 0.5731972561485695,
 0.5542579889576711,
 0.5267190898444035,
 0.5764430316212147,
 0.6174000334616028,
 0.5661368579554961,
 0.5512464447047014,
 0.5003513468295131,
 0.4946294127488707,
 0.47846745859126655,
 0.42569851095867495,
 0.445139702191735,
 0.3626568512631755,
 0.3501756734147566,
 0.36406223858122805,
 0.37463610506943285,
 0.4220177346494897,
 0.39943115275221686,
 0.37416764263008195,
 0.3197590764597624,
 0.3206960013384641,
 0.3014890413250795,
 0.30654174334950646,
 0.29887903630583906,
 0.31075790530366404,
 0.2676593608833863,
 0.23704199431152753,
 0.2364062238581228,
 0.22820813116948302,
 0.22255312029446211,
 0.2174000334616028,
 0.21244771624560815,
 0.2050192404216162,
 0.20324577547264513,
 0.20940271038982766,
 0.25347164129161787,
 0.1964530701020579,
 0.21512464447047014,
 0.23463275890915175,
 0.21559310690982098,
 0.193173833026602,
 0.1790195750376443,
 0.19337460264346662,
 0.22462773966873012,
 0.1699514806759244,
 0.16576878032457754,
 0.16941609503095198,
 0.14887067090513637,
 0.13652333946796052,
 0.14214488874017064,
 0.1335117952149908,
 0.13749372594947298,
 0.1375941107579053,
 0.14007026936590264,
 0.1288940940271039,
 0.13545256817801574,
 0.13237410071942446,
 0.1284925547933746,
 0.1456248954324912,
 0.12815793876526685,
 0.13719257152417602,
 0.16309185209971558,
 0.12514639451229714,
 0.12996486531704868,
 0.12725447548937593,
 0.11581060732809101,
 0.12497908649824327,
 0.12270369750711059,
 0.11835368914170989,
 0.1259829345825665,
 0.1470972059561653,
 0.15097875188221516,
 0.16255646645474317,
 0.12919524845240088,
 0.11326752551447214,
 0.11658022419273883,
 0.00023423121967542247]
 x=list(range(len(y)))

Answer 1

不可能，数据看起来像是2d探测器的下采样直方图，显示出一些高能峰值，您要保留的峰值是数据的最高峰值，因此不可能。在真实数据中，您可以尝试使用scipy.signal或fft过滤进行medfilt，但是在此

中

如何使用scipy.interpolate.UnivariateSpline平滑曲线

1 个答案: