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POmlab.griddata bug?
 

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  1. POmlab.griddata bug?
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    <p>I'm using mlab.griddata to interpolate some data when I encountered a strange and what looks like floating point precision bug. This is calling sequence:</p> <pre><code>nvals = matplotlib.mlab.griddata(lon_old.ravel(), lat_old.ravel(), ivals.ravel(), lon_new, lat_new,interp='linear').T lat_old = array([ 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 , 19.62606908, 18.50457985, 17.38309053, 16.26160115, 15.14011169, 14.01862218, 12.8971326 , 11.77564298, 10.65415331, 9.53266359, 8.41117384, 7.28968406, 6.16819425, 5.04670442, 3.92521457, 2.8037247 , 1.68223483, 0.56074494, -0.56074494, -1.68223483, -2.8037247 ]) lon_old = array([ 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 228.375, 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 229.5 , 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 230.625, 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 231.75 , 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 232.875, 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 234. , 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 235.125, 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 236.25 , 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 237.375, 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 238.5 , 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 239.625, 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 240.75 , 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 241.875, 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 243. , 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 244.125, 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 245.25 , 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 246.375, 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 247.5 , 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 248.625, 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 249.75 , 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875, 250.875]) lon_new = array([ 229.078125, 229.78125 , 230.484375, 231.1875 , 231.890625, 232.59375 , 233.296875, 234. , 234.703125, 235.40625 , 236.109375, 236.8125 , 237.515625, 238.21875 , 238.921875, 239.625 , 240.328125, 241.03125 , 241.734375, 242.4375 , 243.140625, 243.84375 , 244.546875, 245.25 , 245.953125, 246.65625 , 247.359375, 248.0625 , 248.765625, 249.46875 , 250.171875]) lat_new = array([ 18.95804884, 18.25492384, 17.55179884, 16.84867384, 16.14554884, 15.44242384, 14.73929884, 14.03617384, 13.33304884, 12.62992384, 11.92679884, 11.22367384, 10.52054884, 9.81742384, 9.11429884, 8.41117384, 7.70804884, 7.00492384, 6.30179884, 5.59867384, 4.89554884, 4.19242384, 3.48929884, 2.78617384, 2.08304884, 1.37992384, 0.67679884, -0.02632616, -0.72945116, -1.43257616, -2.13570116]) dlon_new = dx = array([-0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7, -0.7]) dlat_new = dy = array([ 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7]) epsy = 1.0000000000000001e-15 epsx = 1.0000000000000001e-15 ivals = array([[ 1.51914963e-03, 4.84249834e-03, 1.24178734e-02, 1.78842712e-02, 2.73387861e-02, 3.49708572e-02, 3.76453847e-02, 3.83761562e-02, 3.42653096e-02, 2.37101801e-02, 1.05387643e-02, 6.25021639e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 2.35232967e-03, 6.95531536e-03, 1.20530156e-02, 1.50254052e-02, 2.06609517e-02, 2.70908102e-02, 2.68270355e-02, 1.82730909e-02, 1.43693918e-02, 1.78140309e-02, 1.54578537e-02, 4.77255462e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 5.49260434e-03, 1.21264756e-02, 1.16909835e-02, 1.09791821e-02, 1.34972855e-02, 1.25683891e-02, 7.35369883e-03, 5.41831227e-03, 4.72079264e-05, 6.89811632e-03, 7.71775097e-03, 2.97224917e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 1.13926865e-02, 1.21114589e-02, 8.51153489e-03, 5.64892637e-03, 4.42338269e-03, 2.71651126e-03, 6.50693983e-05, 1.18285546e-03, 1.15790730e-03, 1.27750791e-05, 1.16404856e-03, 3.87609383e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 9.99477133e-03, 7.84504320e-03, 4.12580743e-03, 1.95651152e-03, 6.27938076e-04, 3.64340417e-06, 0.00000000e+00, 5.80144624e-05, 9.30973620e-05, 6.09520539e-05, 3.19228930e-05, 2.95944778e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 5.62612992e-03, 3.11897229e-03, 1.35576469e-03, 2.72712990e-04, 2.18278728e-08, 2.77736224e-04, 2.15023640e-04, 2.99098410e-05, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.45696821e-09, 6.18456397e-08, 1.00044417e-07], [ 1.80969934e-03, 7.60903757e-04, 3.29161890e-06, 5.94062985e-05, 9.03553300e-05, 1.88442812e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.96955896e-07, 5.46621823e-06, 6.86217982e-06, 9.91616434e-06], [ 5.55361272e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 7.27595761e-09, 1.27329258e-08, 8.64968388e-06, 3.59374013e-07, 9.28682766e-06, 9.36674860e-06, 5.86172609e-06, 3.51247800e-05, 1.05878571e-04, 2.21810909e-03], [ 4.81493998e-07, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.76954704e-05, 3.13774217e-06, 4.10084112e-06, 1.22585889e-05, 1.23064645e-04, 3.22126038e-02, 4.12977114e-03, 4.40907385e-03, 8.58011283e-03, 1.13403024e-02, 1.39989899e-02, 1.55630931e-02, 1.62743106e-02], [ 3.06865149e-06, 1.18992730e-05, 2.90403641e-05, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.26428679e-04, 5.05644502e-03, 7.92237557e-03, 8.84909835e-03, 9.39421635e-03, 4.13218886e-02, 5.75748496e-02, 1.31889293e-02, 1.34845898e-01, 1.13798976e-01, 1.20008864e-01, 1.56037509e-01, 1.93280712e-01], [ 5.33699116e-04, 1.72329973e-03, 3.17315105e-03, 1.14819378e-01, 4.43908386e-02, 0.00000000e+00, 0.00000000e+00, 5.74506557e-05, 5.10447251e-04, 1.71848107e-03, 5.27862227e-03, 1.52162453e-02, 8.03043172e-02, 7.01455697e-02, 1.05249695e-01, 1.42122656e-01, 2.22821265e-01, 2.02459455e-01, 2.06677437e-01, 2.46986017e-01, 2.63066918e-01], [ 7.62831494e-02, 1.11132614e-01, 1.37192637e-01, 1.43570632e-01, 1.15425527e-01, 0.00000000e+00, 2.89876079e-05, 3.49933194e-04, 9.58649849e-04, 2.01611011e-03, 4.83151386e-03, 1.83595419e-02, 1.03671178e-01, 9.63126644e-02, 5.50910681e-02, 1.36725232e-01, 1.64533973e-01, 7.98287913e-02, 1.73291177e-01, 1.81056723e-01, 2.02676117e-01], [ 1.07610516e-01, 1.21951140e-01, 1.01695523e-01, 4.15301125e-04, 0.00000000e+00, 0.00000000e+00, 2.18786477e-06, 3.11349390e-06, 1.33068315e-04, 3.67084111e-04, 1.08024117e-03, 3.34545830e-03, 8.69611651e-03, 1.37638608e-02, 2.27879807e-02, 4.41205539e-02, 5.16842529e-02, 3.70345488e-02, 5.38833812e-02, 6.32722452e-02, 1.56152964e-01], [ 1.10440794e-02, 3.89250601e-03, 2.37991480e-05, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.04574056e-07, 8.74274861e-07, 2.26301170e-04, 8.31953774e-04, 1.92522176e-03, 4.67427028e-03, 1.10447202e-02, 1.51307033e-02, 1.29928729e-02, 2.08757464e-02, 2.11046692e-02, 3.58685926e-02], [ 1.40534030e-04, 6.79020388e-07, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 6.55058902e-05, 2.59673747e-04, 7.57753383e-04, 1.35594222e-03, 1.73954351e-03, 4.76868916e-03, 5.21047926e-03, 9.71581228e-03], [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.23413442e-05, 3.17198865e-05, 3.07607057e-04, 2.70675024e-04, 1.48168497e-03], [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 6.51265509e-05], [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]], dtype=float32) </code></pre> <p>This is the part of the mlab code that flags the error:</p> <pre><code>dx.max()-dx.min() = 1.7763568394002505e-15 dy.max()-dy.min() = 0.0 epsy = np.finfo(yi.dtype).resolution if dx.max()-dx.min() &gt; epsx or dy.max()-dy.min() &gt; epsy: raise ValueError("output grid must have constant spacing" " when using interp='linear'") </code></pre> <p>I would love to know how to get around this problem. I don't own this python installation so I cannot modify the if statement. Sometimes this works and sometimes it doesn't, it seems to depend on the data input but in this case when it does break, the dy and dy are all the same. Is this a bug in mlab? If I change to 'nn' instead of linear, the problem goes away but I need the 'linear' interpolation.</p> <p>Thanks, /Shejo284</p>
    singulars
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. PTQuestion
    1. USShejo284
    1. USShejo284
    plurals
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. This table or related slice is empty.
    1. PO
      singulars
      1. PTAnswer
    2. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. COHow did you generate the interpolation values? The value 0.7 does not have a finite binary representation, and this can often cause strange effects with floating point math. Try 0.75 (which is 1/2 + 1/4) and see if you still see this effect.
      singulars
      1. POmlab.griddata bug?
      1. USchthonicdaemon
    2. COThese new grid values are the model resolution of 0.70135. I'll see if I can find a better rational expression but I don't want to go higher that 0.7. If I do the array size will be incorrect.
      singulars
      1. POmlab.griddata bug?
      1. USShejo284
    3. CO@chthonicdaemon - 0.7 also fails. Is there a way to control the precision such that anything below 1e-10 is considered 0?
      singulars
      1. POmlab.griddata bug?
      1. USShejo284
 

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