PYTHON- interpolation with resampling. Then logan plot

I need to plot a time-activity curve for measured data. The time intervals are irregular so i need to interpolate with resampling so that data is sampled every 15 seconds. Cref (y axis) is the activity which has the following array array([ 0. , 348.983 , 4432.77 , 9858.942 , 13230.724 , 14074.866 , 14132.535 , 14249.749 , 13858.398 , 13815.434 , 13539.298 , 13265.524 , 12734.501 , 12104.913 , 11627.642 , 11131.748 , 10537.024 , 10042.941 , 9556.233 , 9078.126 , 8673.046 , 7992.1533, 7031.426 , 5940.104 , 4908.0713, 4149.585 , 3612.1482, 3221.2012, 3020.2327, 2825.3157, 2704.54 ], dtype=float32) the time (x axis) in seconds has the following uneven time intervals: [15, 30, 45, 60, 90, 120, 150, 180, 210, 240, 270, 300, 360, 420, 480, 540, 600, 660, 720, 780, 840, 1020, 1200, 1500, 1800, 2100, 2400, 2700, 3000, 3300, 3600] I need to resample so that data is sampled every 15 seconds. Following this I have Ctarget which has the array:array([ 0. , 581.7311, 5851.433 , 10426.111 , 12422.851 , 12678.066 , 12457.852 , 12037.824 , 12438.576 , 12301.788 , 12192.244 , 11718.365 , 11949.461 , 11511.533 , 10947.356 , 10409.294 , 10354.737 , 10048.753 , 9569.235 , 9538.16 , 9049.866 , 8555.707 , 7780.894 , 7018.909 , 6101.6587, 5379.143 , 4870.8496, 4581.016 , 4058.3743, 3838.395 , 3708.9106], dtype=float32) It has the same issue where the time is in unequal intervals. Once this is sorted I need to do a logan plot for these two regions (Cref and Ctarget) The equation for this logan plot is a straight line- with the function given in the screenshot (requires an integration function where the limits are 0 to 3600). Need the gradient to be generated as a number after.