我有两列信息。第二列是以秒为单位的时间。第一列在当时是错误的。我需要做一个向量,它包含2.5秒间隔内的误差值。应该有172个。以下是我的数据: 第0列=错误,第1列=以秒为单位的时间
array([[0.00, 0.01],
[1.91, 9.60],
[0.00, 19.08],
[2.05, 28.64],
[1.04, 38.19],
[1.89, 47.73],
[1.69, 57.27],
[2.24, 66.79],
[1.89, 76.33],
[1.86, 85.88],
[2.37, 95.39],
[2.29, 104.93],
[2.03, 114.45],
[2.16, 123.99],
[1.34, 133.52],
[2.40, 143.03],
[2.17, 152.54],
[0.00, 162.03],
[1.61, 171.59],
[2.31, 181.13],
[2.15, 190.67],
[2.22, 200.19],
[2.16, 209.72],
[0.00, 219.20],
[2.65, 228.76],
[1.74, 238.33],
[0.00, 247.85],
[2.33, 257.42],
[1.85, 266.94],
[0.00, 276.50],
[2.27, 286.06],
[1.67, 295.62],
[2.41, 305.15],
[0.00, 314.65],
[1.32, 324.21],
[2.39, 333.74],
[2.19, 343.27],
[2.51, 352.81],
[2.41, 362.33],
[1.79, 371.86],
[0.00, 381.36],
[3.07, 390.93],
[2.30, 400.47],
[0.00, 409.98],
[2.41, 419.54],
[2.22, 0.05],
[1.75, 9.59],
[2.18, 19.14],
[1.99, 28.64],
[1.80, 38.16],
[1.45, 47.68],
[1.57, 57.21],
[2.24, 66.74],
[0.00, 76.24],
[2.31, 85.80],
[0.00, 95.29],
[2.39, 104.85],
[0.00, 114.34],
[0.95, 123.89],
[2.35, 133.42],
[2.43, 142.98],
[1.66, 152.48],
[1.08, 162.01],
[0.00, 171.53],
[1.20, 181.08],
[2.43, 190.64],
[2.42, 200.16],
[2.59, 209.69],
[1.98, 219.22],
[1.75, 228.76],
[2.28, 238.28],
[1.98, 247.80],
[1.08, 257.33],
[2.08, 266.84],
[2.30, 276.37],
[0.00, 285.84],
[1.38, 295.40],
[2.19, 304.95],
[0.00, 314.44],
[1.54, 324.01],
[2.19, 333.52],
[0.00, 343.02],
[2.13, 352.59],
[2.31, 362.13],
[0.00, 371.61],
[2.36, 381.18],
[2.02, 390.71],
[2.68, 400.24],
[0.00, 409.71],
[2.19, 419.28]])
我尝试使用下面的代码使用线性插值器,但是得到了错误ValueError: A value in x_new is below the interpolation range.
我读到这可能是因为x值需要稳定地增加,以便线性插值是合适的。如果有什么建议,我将不胜感激。在
我通常不使用插值,只使用最近的值(因此没有从未来数据中采样):
这将提供两列:新的时间间隔2.5秒,以及这些时间的最新错误值。在
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