dataset_test.ipynb

dataset_test.ipynb

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    "* ValueError: index must be monotonic for resampling"
   ]
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     "name": "stdout",
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     "text": [
      "The 'time' coordinate is not monotonic.\n"
     ]
    }
   ],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "nc_url = \"https://thredds.met.no/thredds/dodsC/met.no/observations/surface/39100/211/oksoy_fyr_air_temperature.nc\"\n",
    "ds = xr.open_dataset(nc_url)\n",
    "coords_values = ds.coords['time'].values[::-1]\n",
    "\n",
    "is_monotonic = all(coords_values[i] <= coords_values[i + 1] for i in range(len(coords_values) - 1)) or all(coords_values[i] >= coords_values[i + 1] for i in range(len(coords_values) - 1))\n",
    "\n",
    "if is_monotonic:\n",
    "    print(\"The 'time' coordinate is monotonic.\")\n",
    "else:\n",
    "    print(\"The 'time' coordinate is not monotonic.\")"
   ]
  },
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   "cell_type": "code",
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     "text": [
      "347971\n",
      "348587\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(coords_values) - 1):\n",
    "    if not ds.coords['time'].values[i] <= ds.coords['time'].values[i+1]:\n",
    "        print(i)"
   ]
  },
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   "cell_type": "code",
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   "id": "129ed207-7cfd-4f92-bff4-bc6fe1ae60fd",
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   "source": [
    "i_a = 347971\n",
    "i_b = 348587"
   ]
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    {
     "data": {
      "text/plain": [
       "[numpy.datetime64('2024-02-24T07:00:00.000000000'),\n",
       " numpy.datetime64('2024-02-24T08:00:00.000000000'),\n",
       " numpy.datetime64('2024-01-22T17:00:00.000000000')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[ds.coords['time'].values[i_a-1], ds.coords['time'].values[i_a], ds.coords['time'].values[i_a+1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "35d3f362-a3fd-4f70-a5de-be9b8cf2775c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[numpy.datetime64('2024-02-17T07:00:00.000000000'),\n",
       " numpy.datetime64('2024-02-17T08:00:00.000000000'),\n",
       " numpy.datetime64('2023-10-02T17:00:00.000000000')]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[ds.coords['time'].values[i_b-1], ds.coords['time'].values[i_b], ds.coords['time'].values[i_b+1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6377fdef-824f-4b67-af50-58b7c6d0b74a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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