diff --git a/Jupyter_notebooks/2.1-create_nes_port.ipynb b/Jupyter_notebooks/2.1-create_nes_port.ipynb index f5765cab0e9c57ba13717d5a6fafb2184e8e85b7..77e90d6cc96a8632f6dd8bb6f7e46594ff17a3c1 100644 --- a/Jupyter_notebooks/2.1-create_nes_port.ipynb +++ b/Jupyter_notebooks/2.1-create_nes_port.ipynb @@ -368,9 +368,9 @@ "metadata = {'station_name': {'data': df_data.columns[2:4].to_numpy(),\n", " 'dimensions': ('station',),\n", " 'dtype': str},\n", - " 'NO2': {'data': df_data.iloc[:, 2:4].to_numpy(),\n", - " 'dimensions': ('time', 'station',),\n", - " 'dtype': float}}" + " 'sconcno2': {'data': df_data.iloc[:, 2:4].to_numpy(),\n", + " 'dimensions': ('time', 'station',),\n", + " 'dtype': float}}" ] }, { @@ -408,8 +408,8 @@ "Rank 000: Var station_name created (1/2)\n", "Rank 000: Var station_name data (1/2)\n", "Rank 000: Var station_name completed (1/2)\n", - "Rank 000: Writing NO2 var (2/2)\n", - "Rank 000: Var NO2 created (2/2)\n" + "Rank 000: Writing sconcno2 var (2/2)\n", + "Rank 000: Var sconcno2 created (2/2)\n" ] }, { @@ -424,8 +424,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Rank 000: Var NO2 data (2/2)\n", - "Rank 000: Var NO2 completed (2/2)\n" + "Rank 000: Var sconcno2 data (2/2)\n", + "Rank 000: Var sconcno2 completed (2/2)\n" ] } ], @@ -800,20 +800,20 @@ " * station (station) float64 0.0 1.0\n", "Data variables:\n", " station_name (station) object 'NO2-UM' 'NO2-ZAL Prat'\n", - " NO2 (time, station) float64 63.38 46.01 64.64 ... 12.76 28.66\n", + " sconcno2 (time, station) float64 63.38 46.01 64.64 ... 12.76 28.66\n", " lat (station) float64 41.37 41.32\n", " lon (station) float64 2.185 2.135\n", "Attributes:\n", - " Conventions: CF-1.7
array(['2017-01-01T00:00:00.000000000', '2017-01-01T01:00:00.000000000',\n", + " Conventions: CF-1.7
array(['2017-01-01T00:00:00.000000000', '2017-01-01T01:00:00.000000000',\n", " '2017-01-01T02:00:00.000000000', ..., '2021-12-31T16:00:00.000000000',\n", " '2021-12-31T17:00:00.000000000', '2021-12-31T18:00:00.000000000'],\n", - " dtype='datetime64[ns]')
array([0., 1.])
array(['NO2-UM', 'NO2-ZAL Prat'], dtype=object)
array([[63.38, 46.01],\n", + " dtype='datetime64[ns]')
array([0., 1.])
array(['NO2-UM', 'NO2-ZAL Prat'], dtype=object)
array([[63.38, 46.01],\n", " [64.64, 49.08],\n", " [68.16, 53. ],\n", " ...,\n", " [29.1 , 25.79],\n", " [ 9.24, 29.82],\n", - " [12.76, 28.66]])
array([41.373777, 41.317277])
array([2.184514, 2.134501])
array([41.373777, 41.317277])
array([2.184514, 2.134501])
array(['2017-05-01T00:00:00.000000000', '2017-05-01T01:00:00.000000000',\n", + " Conventions: CF-1.7
array(['2017-05-01T00:00:00.000000000', '2017-05-01T01:00:00.000000000',\n", " '2017-05-01T02:00:00.000000000', ..., '2017-05-31T21:00:00.000000000',\n", " '2017-05-31T22:00:00.000000000', '2017-05-31T23:00:00.000000000'],\n", - " dtype='datetime64[ns]')
array([0., 1.])
array([b'NO2-UM', b'NO2-ZAL Prat'], dtype='|S75')
array([[ 6.88, 23.03],\n", + " dtype='datetime64[ns]')
array([0., 1.])
array([b'NO2-UM', b'NO2-ZAL Prat'], dtype='|S75')
array([nan, nan])
array([[ 6.88, 23.03],\n", " [ 8.77, 23.49],\n", " [ 1.76, 21.73],\n", " ...,\n", " [21.96, 41.2 ],\n", " [ 0. , 26.42],\n", - " [ 0.07, 27.11]])
array([41.373777, 41.317277])
array([2.184514, 2.134501])
array([41.373777, 41.317277])
array([2.184514, 2.134501])
array(['2019-12-01T00:00:00.000000000', '2019-12-01T01:00:00.000000000',\n", + " Conventions: CF-1.7
array(['2019-12-01T00:00:00.000000000', '2019-12-01T01:00:00.000000000',\n", " '2019-12-01T02:00:00.000000000', ..., '2019-12-31T21:00:00.000000000',\n", " '2019-12-31T22:00:00.000000000', '2019-12-31T23:00:00.000000000'],\n", - " dtype='datetime64[ns]')
array([0., 1.])
array([b'NO2-UM', b'NO2-ZAL Prat'], dtype='|S75')
array([[65.22, 80.1 ],\n", + " dtype='datetime64[ns]')
array([0., 1.])
array([b'NO2-UM', b'NO2-ZAL Prat'], dtype='|S75')
array([nan, nan])
array([[65.22, 80.1 ],\n", " [63.97, 81.52],\n", " [57.43, 65.34],\n", " ...,\n", " [ nan, 25.97],\n", " [ nan, 20.7 ],\n", - " [ nan, 16.95]])
array([41.373777, 41.317277])
array([2.184514, 2.134501])
array([41.373777, 41.317277])
array([2.184514, 2.134501])