Beispiel #1
0
LPTMap.WpMap = np.array(
    [[[
        35.883, 35.897, 35.897, 35.897, 35.897, 35.897, 35.897, 35.897, 35.897,
        35.897, 35.897, 35.897, 35.897, 35.897, 35.897, 35.897, 35.897, 35.897,
        35.897, 35.897
    ],
      [
          35.712, 35.796, 35.834, 35.843, 35.843, 35.843, 35.843, 35.843,
          35.843, 35.843, 35.843, 35.843, 35.843, 35.843, 35.843, 35.843,
          35.843, 35.843, 35.843, 35.843
      ],
      [
          35.459, 35.571, 35.641, 35.683, 35.706, 35.717, 35.721, 35.721,
          35.721, 35.721, 35.721, 35.721, 35.721, 35.721, 35.721, 35.721,
          35.721, 35.721, 35.721, 35.721
      ],
      [
          35.233, 35.346, 35.423, 35.475, 35.510, 35.534, 35.550, 35.560,
          35.567, 35.571, 35.574, 35.575, 35.576, 35.576, 35.576, 35.576,
          35.576, 35.576, 35.576, 35.576
      ],
      [
          34.957, 35.057, 35.126, 35.175, 35.210, 35.235, 35.253, 35.266,
          35.275, 35.282, 35.288, 35.292, 35.295, 35.297, 35.299, 35.301,
          35.302, 35.302, 35.303, 35.303
      ],
      [
          34.720, 34.800, 34.855, 34.894, 34.921, 34.941, 34.956, 34.967,
          34.974, 34.980, 34.984, 34.987, 34.990, 34.991, 34.992, 34.992,
          34.992, 34.992, 34.992, 34.992
      ],
      [
          34.444, 34.501, 34.539, 34.566, 34.585, 34.598, 34.607, 34.613,
          34.618, 34.620, 34.622, 34.623, 34.623, 34.623, 34.623, 34.623,
          34.623, 34.623, 34.623, 34.623
      ]],
     [[
         41.673, 42.421, 43.056, 43.594, 44.024, 44.395, 44.719, 45.002,
         45.250, 45.470, 45.664, 45.837, 45.991, 46.125, 46.244, 46.352,
         46.449, 46.536, 46.615, 46.751
     ],
      [
          41.636, 42.265, 42.806, 43.273, 43.654, 43.982, 44.271, 44.527,
          44.755, 44.959, 45.141, 45.306, 45.455, 45.588, 45.707, 45.816,
          45.915, 46.007, 46.091, 46.239
      ],
      [
          41.952, 42.463, 42.905, 43.291, 43.619, 43.893, 44.136, 44.352,
          44.546, 44.721, 44.879, 45.022, 45.152, 45.272, 45.377, 45.474,
          45.564, 45.647, 45.723, 45.860
      ],
      [
          42.498, 42.901, 43.252, 43.558, 43.828, 44.052, 44.248, 44.422,
          44.580, 44.722, 44.850, 44.968, 45.075, 45.173, 45.264, 45.344,
          45.419, 45.488, 45.552, 45.668
      ],
      [
          43.028, 43.336, 43.604, 43.839, 44.046, 44.229, 44.380, 44.514,
          44.636, 44.746, 44.846, 44.937, 45.020, 45.097, 45.167, 45.232,
          45.291, 45.345, 45.395, 45.486
      ],
      [
          43.553, 43.780, 43.977, 44.150, 44.302, 44.437, 44.556, 44.655,
          44.744, 44.825, 44.898, 44.965, 45.027, 45.083, 45.134, 45.182,
          45.227, 45.267, 45.304, 45.371
      ],
      [
          43.920, 44.081, 44.219, 44.339, 44.444, 44.538, 44.621, 44.694,
          44.755, 44.811, 44.861, 44.907, 44.949, 44.987, 45.022, 45.054,
          45.084, 45.112, 45.138, 45.183
      ]]])
Beispiel #2
0
HPTMap.WpMap = np.array(
    [[[
        10.144, 10.144, 10.144, 10.144, 10.144, 10.144, 10.144, 10.144, 10.144,
        10.144, 10.144, 10.144, 10.144, 10.144, 10.144, 10.144, 10.144, 10.144,
        10.144, 10.144
    ],
      [
          10.145, 10.145, 10.145, 10.145, 10.145, 10.145, 10.145, 10.145,
          10.145, 10.145, 10.145, 10.145, 10.145, 10.145, 10.145, 10.145,
          10.145, 10.145, 10.145, 10.145
      ],
      [
          10.146, 10.146, 10.146, 10.146, 10.146, 10.146, 10.146, 10.146,
          10.146, 10.146, 10.146, 10.146, 10.146, 10.146, 10.146, 10.146,
          10.146, 10.146, 10.146, 10.146
      ],
      [
          10.147, 10.147, 10.147, 10.147, 10.147, 10.147, 10.147, 10.147,
          10.147, 10.147, 10.147, 10.147, 10.147, 10.147, 10.147, 10.147,
          10.147, 10.147, 10.147, 10.147
      ],
      [
          10.148, 10.148, 10.148, 10.148, 10.148, 10.148, 10.148, 10.148,
          10.148, 10.148, 10.148, 10.148, 10.148, 10.148, 10.148, 10.148,
          10.148, 10.148, 10.148, 10.148
      ],
      [
          10.149, 10.149, 10.149, 10.149, 10.149, 10.149, 10.149, 10.149,
          10.149, 10.149, 10.149, 10.149, 10.149, 10.149, 10.149, 10.149,
          10.149, 10.149, 10.149, 10.149
      ]],
     [[
         13.466, 13.594, 13.700, 13.790, 13.867, 13.934, 13.993, 14.045,
         14.092, 14.134, 14.172, 14.206, 14.238, 14.267, 14.294, 14.319,
         14.342, 14.363, 14.384, 14.420
     ],
      [
          13.280, 13.393, 13.488, 13.568, 13.637, 13.696, 13.749, 13.796,
          13.838, 13.875, 13.909, 13.941, 13.969, 13.995, 14.020, 14.042,
          14.063, 14.083, 14.101, 14.134
      ],
      [
          13.341, 13.442, 13.526, 13.597, 13.658, 13.711, 13.758, 13.800,
          13.837, 13.871, 13.901, 13.929, 13.955, 13.978, 14.000, 14.020,
          14.039, 14.056, 14.073, 14.103
      ],
      [
          13.580, 13.669, 13.744, 13.808, 13.862, 13.910, 13.952, 13.989,
          14.022, 14.052, 14.079, 14.104, 14.127, 14.148, 14.167, 14.185,
          14.202, 14.217, 14.232, 14.259
      ],
      [
          13.947, 14.027, 14.094, 14.151, 14.200, 14.242, 14.279, 14.313,
          14.342, 14.369, 14.393, 14.415, 14.436, 14.454, 14.472, 14.488,
          14.503, 14.517, 14.530, 14.553
      ],
      [
          14.409, 14.481, 14.541, 14.591, 14.635, 14.673, 14.706, 14.736,
          14.763, 14.786, 14.808, 14.828, 14.846, 14.863, 14.878, 14.892,
          14.906, 14.918, 14.930, 14.951
      ]]])
Beispiel #3
0
HPTmap.WpMap = np.array(
    [[[
        30.446, 30.533, 30.568, 30.572, 30.572, 30.572, 30.572, 30.572, 30.572,
        30.572, 30.572, 30.572, 30.572, 30.572, 30.572, 30.572, 30.572, 30.572,
        30.572, 30.572
    ],
      [
          30.299, 30.413, 30.480, 30.516, 30.529, 30.530, 30.530, 30.530,
          30.530, 30.530, 30.530, 30.530, 30.530, 30.530, 30.530, 30.530,
          30.530, 30.530, 30.530, 30.530
      ],
      [
          30.120, 30.239, 30.317, 30.368, 30.398, 30.415, 30.421, 30.421,
          30.421, 30.421, 30.421, 30.421, 30.421, 30.421, 30.421, 30.421,
          30.421, 30.421, 30.421, 30.421
      ],
      [
          30.014, 30.124, 30.201, 30.253, 30.288, 30.311, 30.325, 30.333,
          30.337, 30.337, 30.337, 30.337, 30.337, 30.337, 30.337, 30.337,
          30.337, 30.337, 30.337, 30.337
      ],
      [
          29.856, 29.948, 30.013, 30.059, 30.091, 30.113, 30.128, 30.139,
          30.145, 30.149, 30.150, 30.150, 30.150, 30.150, 30.150, 30.150,
          30.150, 30.150, 30.150, 30.150
      ],
      [
          29.799, 29.870, 29.920, 29.955, 29.979, 29.997, 30.009, 30.017,
          30.023, 30.026, 30.028, 30.029, 30.029, 30.029, 30.029, 30.029,
          30.029, 30.029, 30.029, 30.029
      ]],
     [[
         30.446, 30.533, 30.568, 30.572, 30.572, 30.572, 30.572, 30.572,
         30.572, 30.572, 30.572, 30.572, 30.572, 30.572, 30.572, 30.572,
         30.572, 30.572, 30.572, 30.572
     ],
      [
          30.299, 30.413, 30.480, 30.516, 30.529, 30.530, 30.530, 30.530,
          30.530, 30.530, 30.530, 30.530, 30.530, 30.530, 30.530, 30.530,
          30.530, 30.530, 30.530, 30.530
      ],
      [
          30.120, 30.239, 30.317, 30.368, 30.398, 30.415, 30.421, 30.421,
          30.421, 30.421, 30.421, 30.421, 30.421, 30.421, 30.421, 30.421,
          30.421, 30.421, 30.421, 30.421
      ],
      [
          30.014, 30.124, 30.201, 30.253, 30.288, 30.311, 30.325, 30.333,
          30.337, 30.337, 30.337, 30.337, 30.337, 30.337, 30.337, 30.337,
          30.337, 30.337, 30.337, 30.337
      ],
      [
          29.856, 29.948, 30.013, 30.059, 30.091, 30.113, 30.128, 30.139,
          30.145, 30.149, 30.150, 30.150, 30.150, 30.150, 30.150, 30.150,
          30.150, 30.150, 30.150, 30.150
      ],
      [
          29.799, 29.870, 29.920, 29.955, 29.979, 29.997, 30.009, 30.017,
          30.023, 30.026, 30.028, 30.029, 30.029, 30.029, 30.029, 30.029,
          30.029, 30.029, 30.029, 30.029
      ]]])
Beispiel #4
0
LPTmap.WpMap = np.array(
    [[[
        153.812, 153.812, 153.812, 153.812, 153.812, 153.812, 153.812, 153.812,
        153.812, 153.812, 153.812, 153.812, 153.812, 153.812, 153.812, 153.812,
        153.812, 153.812, 153.812, 153.812
    ],
      [
          153.511, 153.511, 153.511, 153.511, 153.511, 153.511, 153.511,
          153.511, 153.511, 153.511, 153.511, 153.511, 153.511, 153.511,
          153.511, 153.511, 153.511, 153.511, 153.511, 153.511
      ],
      [
          152.799, 152.982, 153.052, 153.061, 153.061, 153.061, 153.061,
          153.061, 153.061, 153.061, 153.061, 153.061, 153.061, 153.061,
          153.061, 153.061, 153.061, 153.061, 153.061, 153.061
      ],
      [
          150.995, 151.316, 151.518, 151.647, 151.729, 151.781, 151.814,
          151.834, 151.846, 151.852, 151.856, 151.858, 151.859, 151.859,
          151.859, 151.859, 151.859, 151.859, 151.859, 151.859
      ],
      [
          148.751, 149.107, 149.349, 149.517, 149.635, 149.719, 149.779,
          149.822, 149.852, 149.872, 149.885, 149.894, 149.898, 149.899,
          149.899, 149.899, 149.899, 149.899, 149.899, 149.899
      ],
      [
          145.352, 145.680, 145.905, 146.061, 146.169, 146.244, 146.293,
          146.324, 146.339, 146.344, 146.344, 146.344, 146.344, 146.344,
          146.344, 146.344, 146.344, 146.344, 146.344, 146.344
      ],
      [
          140.863, 141.131, 141.310, 141.428, 141.503, 141.547, 141.567,
          141.569, 141.569, 141.569, 141.569, 141.569, 141.569, 141.569,
          141.569, 141.569, 141.569, 141.569, 141.569, 141.569
      ]],
     [[
         153.812, 153.812, 153.812, 153.812, 153.812, 153.812, 153.812,
         153.812, 153.812, 153.812, 153.812, 153.812, 153.812, 153.812,
         153.812, 153.812, 153.812, 153.812, 153.812, 153.812
     ],
      [
          153.511, 153.511, 153.511, 153.511, 153.511, 153.511, 153.511,
          153.511, 153.511, 153.511, 153.511, 153.511, 153.511, 153.511,
          153.511, 153.511, 153.511, 153.511, 153.511, 153.511
      ],
      [
          152.799, 152.982, 153.052, 153.061, 153.061, 153.061, 153.061,
          153.061, 153.061, 153.061, 153.061, 153.061, 153.061, 153.061,
          153.061, 153.061, 153.061, 153.061, 153.061, 153.061
      ],
      [
          150.995, 151.316, 151.518, 151.647, 151.729, 151.781, 151.814,
          151.834, 151.846, 151.852, 151.856, 151.858, 151.859, 151.859,
          151.859, 151.859, 151.859, 151.859, 151.859, 151.859
      ],
      [
          148.751, 149.107, 149.349, 149.517, 149.635, 149.719, 149.779,
          149.822, 149.852, 149.872, 149.885, 149.894, 149.898, 149.899,
          149.899, 149.899, 149.899, 149.899, 149.899, 149.899
      ],
      [
          145.352, 145.680, 145.905, 146.061, 146.169, 146.244, 146.293,
          146.324, 146.339, 146.344, 146.344, 146.344, 146.344, 146.344,
          146.344, 146.344, 146.344, 146.344, 146.344, 146.344
      ],
      [
          140.863, 141.131, 141.310, 141.428, 141.503, 141.547, 141.567,
          141.569, 141.569, 141.569, 141.569, 141.569, 141.569, 141.569,
          141.569, 141.569, 141.569, 141.569, 141.569, 141.569
      ]]])