mlab.griddata bug?

이상한 점을 발견했을 때 일부 데이터를 보간하기 위해 mlab.griddata를 사용하고 있고 부동 소수점 정밀도 버그처럼 보입니다. 이 호출 순서는 :mlab.griddata bug?

dx.max()-dx.min() = 1.7763568394002505e-15 
dy.max()-dy.min() = 0.0 
epsy = np.finfo(yi.dtype).resolution 
if dx.max()-dx.min() > epsx or dy.max()-dy.min() > epsy: 
    raise ValueError("output grid must have constant spacing" 
        " when using interp='linear'")

나는이 문제를 해결 얻을하는 방법을 알고 싶어요 :

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)

이 오류에 플래그 MLAB 코드의 일부이다. 나는이 파이썬 설치를 소유하지 않기 때문에 if 문을 수정할 수 없다. 때로는 이것이 작동하고 때로는 그렇지 않지만 데이터 입력에 의존하는 것처럼 보일 수 있지만이 경우에는 중단 될 때 dy와 dy가 모두 동일합니다. mlab의 버그입니까? 선형 대신 'nn'으로 변경하면 문제가 사라지지만 '선형'보간이 필요합니다.

감사합니다, /Shejo284

출처

2012-09-09 Shejo284

어떻게 보간 값을 생성 했습니까? 값 0.7에는 유한 이진 표현이 없으므로 부동 소수점 연산에 이상한 결과가 발생할 수 있습니다. 0.75 (1/2 + 1/4)를 시도하고이 효과가 계속 표시되는지 확인합니다. – chthonicdaemon

이 새로운 그리드 값은 0.70135의 모델 해상도입니다. 나는 더 나은 이성적인 표현을 찾을 수 있는지 보 겠지만 나는 그 0.7 이상으로 가고 싶지 않다. 배열 크기를 잘못하면됩니다. – Shejo284

@chthonicdaemon - 0.7도 실패합니다. 1e-10 이하가 0으로 간주되도록 정밀도를 제어하는 방법이 있습니까? – Shejo284

mlab에는 운이 없었습니다. 대신 scipy.interpolate.griddata로 전환되었습니다. 그것은 효과가있는 것처럼 보이고 결과는 좋아 보입니다.

nvals = scipy.interpolate.griddata((lon_old.ravel(),  
            lat_old.ravel()),  
            tmp.ravel(),   
            (lon_new,lat_new),  
            method='linear')

귀하의 기여에 감사드립니다.

출처

2012-09-09 18:01:22 Shejo284

이상하게도, 내 컴퓨터 복사에와 출력이 완벽하게 작동에서 입력 배열을 붙여. 이 다음이 문제를 해결할 것을 제안 :

lat_new = numpy.round(lat_new, 10) 
lon_new = numpy.round(lon_new, 10)

그것은 또한 당신이 첫번째 장소에 생성 된 코드를 변경할 수 있습니다 제안합니다.

출처

2012-09-09 15:59:50 chthonicdaemon

파이썬 소프트웨어가 아닌 컴퓨터를 바꿨습니다. 여전히 실패했습니다. 어떤 버전의 matplotlib를 사용하고 있습니까? 그 (것)들을 창조하는 기능은 확실히 간단하다 : g = scipy.mgrid [0 : 10 + 0.70135 : 0.70135]; g = np.sort (g); g = 0 : g = np.hstack ((-g [:: - 1], g [1 :]) else : g = np.hstack ((-g [::] -1], g)) return g – Shejo284

답변

관련 문제