Gnuplot图表显示了剧烈的波动

我有一个简单的图表，用CSV数据绘制。最近，图表中出现了一些我无法解释的剧烈波动

图表：

数据：

"YYYY-MM-DD HH:MM:SS.SS","Pressure","Pressure Normal","Basement Temp","Downstairs Temp","Energy C1","Energy C2","Garage Temp","Lux","Lux Low","Indoor Hum","Main Attic Hum","Main Attic Temp","Outdoor Hum","Outdoor Temp","Outdoor Freeze","Rain Today","Septic Pump","Target Hum","Target Hum Low","Target Hum High","Upstairs Temp","Septic Low","Septic High","Wind Direction","Wind Speed"
2015-10-29 22:00:01.017000,29.95,30,68.0,69.0,639.986,381.38,45.0,0.0,30,49.0,39.0,49.0,94.0,46.0,32,0.0,176.884,45,15,45,66.0,165,185,139,2.0
2015-10-29 22:15:00.858000,29.96,30,68.0,69.0,526.95,283.151,45.0,0.0,30,49.0,39.0,48.9,92.0,46.0,32,0.0,178.132,45,15,45,67.0,165,185,146,2.0
2015-10-29 22:30:00.767000,29.96,30,68.0,68.0,462.525,362.072,45.0,0.0,30,49.0,39.0,48.8,92.0,46.0,32,0.0,178.654,45,15,45,66.0,165,185,138,5.0
2015-10-29 22:45:00.836000,29.97,30,68.0,68.0,473.075,274.232,45.0,0.0,30,49.0,39.0,48.4,91.0,46.0,32,0.0,179.509,45,15,45,66.0,165,185,147,2.0
2015-10-29 23:00:01.729000,29.98,30,68.0,68.0,460.024,355.895,45.0,0.0,30,49.0,39.0,48.3,89.0,46.0,32,0.0,179.626,45,15,45,66.0,165,185,150,2.0
2015-10-29 23:15:01.481000,29.99,30,68.0,68.0,470.404,266.078,44.0,0.0,30,49.0,39.0,48.1,90.0,46.0,32,0.0,179.759,45,15,45,66.0,165,185,140,1.0
2015-10-29 23:30:00.948000,29.99,30,67.0,67.0,578.765,361.633,44.0,0.0,30,49.0,39.0,48.1,90.0,45.0,32,0.0,181.606,45,15,45,65.0,165,185,143,0.0
2015-10-29 23:45:00.978000,29.99,30,67.0,67.0,578.813,265.008,44.0,0.0,30,48.0,39.0,47.7,90.0,45.0,32,0.0,180.662,45,15,45,65.0,165,185,143,0.0
2015-10-30 00:00:01.018000,30.0,30,67.0,67.0,571.851,358.56,44.0,0.0,30,48.0,39.0,47.6,90.0,45.0,32,0.0,182.406,45,15,45,65.0,165,185,154,0.0
2015-10-30 00:15:00.703000,30.0,30,67.0,67.0,461.92,266.449,44.0,0.0,30,48.0,40.0,47.5,90.0,45.0,32,0.0,179.058,45,15,45,65.0,165,185,170,1.0
2015-10-30 00:30:00.676000,30.0,30,68.0,67.0,459.044,364.956,44.0,0.0,30,48.0,40.0,47.3,90.0,45.0,32,0.0,176.376,45,15,45,65.0,165,185,152,1.0
2015-10-30 00:45:01.742000,30.0,30,67.0,67.0,464.856,268.456,44.0,0.0,30,49.0,40.0,47.2,90.0,45.0,32,0.0,178.552,45,15,45,65.0,165,185,160,0.0
2015-10-30 01:00:01.412000,30.0,30,67.0,67.0,462.717,373.676,44.0,0.0,30,48.0,40.0,47.0,91.0,45.0,32,0.0,177.563,45,15,45,65.0,165,185,140,1.0
2015-10-30 01:15:01.398000,30.0,30,67.0,66.0,465.183,265.674,44.0,0.0,30,48.0,40.0,46.9,91.0,45.0,32,0.0,179.081,45,15,45,64.0,165,185,139,1.0
2015-10-30 01:30:01.690000,30.0,30,67.0,66.0,466.075,276.496,43.0,0.0,30,48.0,40.0,46.8,91.0,45.0,32,0.0,178.243,45,15,45,64.0,165,185,125,0.0
2015-10-30 01:45:01.222000,30.01,30,67.0,66.0,583.214,266.92,43.0,0.0,30,48.0,40.0,46.5,90.0,45.0,32,0.0,179.797,45,15,45,64.0,165,185,125,0.0
2015-10-30 02:00:01.147000,30.02,30,67.0,66.0,577.097,265.52,43.0,0.0,30,48.0,40.0,46.3,90.0,45.0,32,0.0,180.246,45,15,45,64.0,165,185,161,0.0
2015-10-30 02:15:01.130000,30.03,30,67.0,66.0,570.447,268.758,43.0,0.0,30,48.0,40.0,46.2,92.0,45.0,32,0.0,181.472,45,15,45,64.0,165,185,140,0.0
2015-10-30 02:30:01.124000,30.03,30,67.0,66.0,466.977,266.9,43.0,0.0,30,48.0,40.0,46.1,92.0,44.0,32,0.0,179.358,45,15,45,64.0,165,185,157,0.0
2015-10-30 02:45:00.935000,30.03,30,67.0,66.0,467.547,265.461,43.0,0.0,30,47.0,40.0,45.7,92.0,44.0,32,0.0,178.06,45,15,45,64.0,165,185,148,0.0
2015-10-30 03:00:00.730000,30.04,30,67.0,65.0,467.852,270.395,42.0,0.0,30,48.0,41.0,45.5,91.0,44.0,32,0.0,180.963,45,15,45,64.0,165,185,148,0.0
2015-10-30 03:15:00.669000,30.05,30,67.0,65.0,470.797,269.087,42.0,0.0,30,48.0,41.0,45.1,91.0,43.0,32,0.0,181.562,45,15,45,64.0,165,185,148,0.0
2015-10-30 03:30:00.597000,30.06,30,67.0,65.0,471.425,266.515,41.0,0.0,30,48.0,41.0,44.7,91.0,43.0,32,0.0,181.108,45,15,45,64.0,165,185,148,0.0
2015-10-30 03:45:01.544000,30.06,30,67.0,65.0,466.103,266.759,41.0,0.0,30,48.0,41.0,44.6,92.0,42.0,32,0.0,181.674,45,15,45,65.0,165,185,148,0.0
2015-10-30 04:00:01.428000,30.06,30,67.0,65.0,468.903,269.099,41.0,0.0,30,48.0,41.0,44.4,92.0,42.0,32,0.0,181.132,45,15,45,64.0,165,185,148,0.0
2015-10-30 04:15:01.112000,30.07,30,67.0,64.0,1133.93,265.94,40.0,0.0,30,48.0,41.0,44.0,92.0,42.0,32,0.0,178.97,45,15,45,63.0,165,185,148,0.0
2015-10-30 04:30:01.129000,30.08,30,67.0,65.0,575.551,269.082,40.0,0.0,30,48.0,41.0,43.8,94.0,41.0,32,0.0,179.605,45,15,45,64.0,165,185,143,0.0
2015-10-30 04:45:00.949000,30.08,30,67.0,64.0,2912.436,342.048,40.0,0.0,30,48.0,41.0,43.7,95.0,42.0,32,0.0,179.017,45,15,45,64.0,165,185,168,0.0
2015-10-30 05:00:00.969000,30.09,30,67.0,66.0,550.604,279.568,40.0,0.0,30,49.0,41.0,44.8,95.0,42.0,32,0.0,177.197,45,15,45,68.0,165,185,184,2.0
2015-10-30 05:15:00.709000,30.1,30,67.0,66.0,586.835,549.631,40.0,0.0,30,49.0,41.0,45.4,95.0,41.0,32,0.0,178.466,45,15,45,69.0,165,185,148,1.0
2015-10-30 05:30:00.901000,30.1,30,67.0,66.0,596.532,278.354,39.0,0.0,30,49.0,41.0,46.1,95.0,41.0,32,0.0,175.013,45,15,45,70.0,165,185,161,1.0
2015-10-30 05:45:01.672000,30.1,30,67.0,65.0,1506.813,1119.999,39.0,0.0,30,50.0,41.0,46.2,95.0,41.0,32,0.0,174.623,45,15,45,67.0,165,185,155,0.0
2015-10-30 06:00:01.509000,30.12,30,68.0,67.0,1516.573,266.874,39.0,0.0,30,49.0,41.0,46.6,95.0,41.0,32,0.0,175.143,45,15,45,69.0,165,185,155,0.0
2015-10-30 06:15:01.207000,30.12,30,68.0,68.0,1072.979,376.114,39.0,0.0,30,49.0,41.0,46.7,95.0,41.0,32,0.0,172.09,45,15,45,69.0,165,185,155,0.0
2015-10-30 06:30:01.312000,30.12,30,69.0,70.0,854.998,281.418,38.0,0.0,30,49.0,41.0,46.6,95.0,40.0,32,0.0,172.968,45,15,45,69.0,165,185,155,0.0
2015-10-30 06:45:01.234000,30.12,30,69.0,69.0,596.209,374.564,38.0,0.0,30,49.0,41.0,45.1,95.0,40.0,32,0.0,174.648,45,15,45,68.0,165,185,155,0.0
2015-10-30 07:00:00.883000,30.12,30,68.0,68.0,596.669,279.735,38.0,0.0,30,49.0,41.0,44.5,95.0,40.0,32,0.0,175.019,45,15,45,67.0,165,185,155,0.0
2015-10-30 07:15:01.066000,30.12,30,68.0,68.0,489.209,376.154,38.0,0.0,30,49.0,41.0,44.0,96.0,41.0,32,0.0,175.471,45,15,45,66.0,165,185,155,0.0
2015-10-30 07:30:01.019000,30.12,30,68.0,67.0,398.586,269.955,38.0,0.0,30,49.0,41.0,43.5,96.0,41.0,32,0.0,178.401,45,15,45,66.0,165,185,155,0.0
2015-10-30 07:45:00.784000,30.12,30,68.0,67.0,397.613,369.828,37.0,0.0,30,49.0,42.0,42.8,96.0,41.0,32,0.0,176.625,45,15,45,66.0,165,185,155,0.0
2015-10-30 08:00:00.919000,30.13,30,67.0,67.0,394.231,284.606,37.0,0.0,30,48.0,42.0,42.6,96.0,41.0,32,0.0,176.026,45,15,45,65.0,165,185,155,0.0
2015-10-30 08:15:00.672000,30.14,30,67.0,66.0,403.669,373.851,37.0,0.0,30,48.0,42.0,42.4,96.0,41.0,32,0.0,180.215,45,15,45,65.0,165,185,156,0.0
2015-10-30 08:30:00.527000,30.13,30,67.0,66.0,391.887,268.734,37.0,0.0,30,48.0,42.0,42.5,96.0,42.0,32,0.0,172.674,45,15,45,65.0,165,185,146,0.0
2015-10-30 08:45:01.630000,30.13,30,67.0,66.0,388.044,265.381,38.0,0.0,30,48.0,43.0,43.8,97.0,42.0,32,0.0,174.12,45,15,45,65.0,165,185,125,1.0
2015-10-30 09:00:01.461000,30.14,30,67.0,66.0,506.085,263.921,38.0,0.0,30,49.0,43.0,44.7,97.0,42.0,32,0.0,174.449,45,15,45,65.0,165,185,36,0.0
2015-10-30 09:15:01.443000,30.15,30,67.0,66.0,515.15,270.162,39.0,0.0,30,48.0,43.0,45.7,97.0,43.0,32,0.0,173.922,45,15,45,65.0,165,185,342,0.0
2015-10-30 09:30:01.428000,30.16,30,67.0,66.0,503.095,266.903,39.0,0.0,30,48.0,43.0,46.8,97.0,44.0,32,0.0,179.962,45,15,45,64.0,165,185,53,0.0
2015-10-30 09:45:01.175000,30.16,30,67.0,66.0,406.591,268.547,40.0,0.0,30,48.0,43.0,49.3,97.0,45.0,32,0.0,180.893,45,15,45,64.0,165,185,286,1.0
2015-10-30 10:00:01.024000,30.17,30,67.0,66.0,408.512,267.207,41.0,0.0,30,48.0,43.0,50.8,97.0,46.0,32,0.0,182.111,45,15,45,64.0,165,185,240,1.0

脚本（在Gnuplot 5.0修补程序0上运行）：

统计数据：

* FILE: 
  Records:           319
  Out of range:        0
  Invalid:             0
  Blank:               0
  Data Blocks:         1

* COLUMN: 
  Mean:              66.3856
  Std Dev:            1.7577
  Sample StdDev:      1.7605
  Skewness:           0.5592
  Kurtosis:           2.5369
  Avg Dev:            0.9624
  Sum:            21177.0000
  Sum Sq.:       1.40683e+06

  Mean Err.:          0.0984
  Std Dev Err.:       0.0696
  Skewness Err.:      0.1371
  Kurtosis Err.:      0.2743

  Minimum:           63.0000 [ 25]
  Maximum:           71.0000 [267]
  Quartile:          65.0000 
  Median:            66.0000 
  Quartile:          67.0000 

我在数据中没有看到超出范围的值；有时超出范围的obs为负（-60），有时为正+240）。我想知道5.0下csplines的实现是否有缺陷。任何建议都将不胜感激

干杯

[编辑]使用McSpline：

使用贝塞尔（我想我更喜欢）：

---

不，这很可能不是一个bug。这种超调可能发生在

csplines

平滑时，并且是正常的。如果不希望这样，请尝试使用

mcspline

平滑选项。在任何情况下，请提供一个显示所述问题的数据集。您给出的代码片段甚至不允许运行脚本…Hi Christoph-Stack在数据文件的大小上遇到了问题（行太多）。我将尝试使用MCSpline。我相信你是对的（你总是对的！）干杯！好的，我应该说：“请给出一个完整但最小的数据集，显示错误”；）通常，这些问题可以分解为5到10行的数据集。有关不同样条曲线平滑选项的演示，请参见。请记住，

bezier

使用所有点计算单个bezier。我不确定这是否总能得到想要的结果。谢谢Christoph。我添加了更多的观察结果。了解您关于贝塞尔的观点，并了解其他一些选项。鉴于数据点的性质，可能没有适合我的完美解决方案。然而，看到山峰和山谷（如果它们是真实的山峰和山谷）可能就足够了。

* FILE: 
  Records:           319
  Out of range:        0
  Invalid:             0
  Blank:               0
  Data Blocks:         1

* COLUMN: 
  Mean:              66.3856
  Std Dev:            1.7577
  Sample StdDev:      1.7605
  Skewness:           0.5592
  Kurtosis:           2.5369
  Avg Dev:            0.9624
  Sum:            21177.0000
  Sum Sq.:       1.40683e+06

  Mean Err.:          0.0984
  Std Dev Err.:       0.0696
  Skewness Err.:      0.1371
  Kurtosis Err.:      0.2743

  Minimum:           63.0000 [ 25]
  Maximum:           71.0000 [267]
  Quartile:          65.0000 
  Median:            66.0000 
  Quartile:          67.0000