Try it !

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argopy will manage for you all the complicated stuff of localising, downloading and formatting Argo data. Focus on your science !

So, simply import the argopy data fetcher:

In [1]:
from argopy import DataFetcher as ArgoDataFetcher

Then, get access to Argo data with 1 line of code:

In [2]:
ds = ArgoDataFetcher(src='erddap').region([-75, -45, 20, 30, 0, 100, '2011-01', '2011-02']).to_xarray()

In this example, we used a data fetcher to get data for a given space/time region.
We retrieved all Argo data measurements from 75W to 45W, 20N to 30N, 0db to 100db and from January to May 2011 (the max date is exclusive).
Data are returned as a collection of measurements in a xarray.Dataset.

In [3]:
ds
Out[3]:
Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • N_POINTS: 1602
    • TIME
      (N_POINTS)
      datetime64[ns]
      2011-01-01T11:49:19 ... 2011-01-31T11:21:35
      _CoordinateAxisType :
      Time
      actual_range :
      [1.29388256e+09 1.29647450e+09]
      axis :
      T
      ioos_category :
      Time
      long_name :
      Julian day (UTC) of the station relative to REFERENCE_DATE_TIME
      standard_name :
      time
      time_origin :
      01-JAN-1970 00:00:00
      array(['2011-01-01T11:49:19.000000000', '2011-01-01T11:49:19.000000000',
             '2011-01-01T11:49:19.000000000', ...,
             '2011-01-31T11:21:35.000000000', '2011-01-31T11:21:35.000000000',
             '2011-01-31T11:21:35.000000000'], dtype='datetime64[ns]')
    • LATITUDE
      (N_POINTS)
      float64
      24.54 24.54 24.54 ... 24.83 24.83
      _CoordinateAxisType :
      Lat
      actual_range :
      [20.042 29.98 ]
      axis :
      Y
      colorBarMaximum :
      90.0
      colorBarMinimum :
      -90.0
      ioos_category :
      Location
      long_name :
      Latitude of the station, best estimate
      standard_name :
      latitude
      units :
      degrees_north
      valid_max :
      90.0
      valid_min :
      -90.0
      array([24.541, 24.541, 24.541, ..., 24.826, 24.826, 24.826])
    • N_POINTS
      (N_POINTS)
      int64
      0 1 2 3 4 ... 1598 1599 1600 1601
      array([   0,    1,    2, ..., 1599, 1600, 1601])
    • LONGITUDE
      (N_POINTS)
      float64
      -45.14 -45.14 ... -46.56 -46.56
      _CoordinateAxisType :
      Lon
      actual_range :
      [-73.534 -45.006]
      axis :
      X
      colorBarMaximum :
      180.0
      colorBarMinimum :
      -180.0
      ioos_category :
      Location
      long_name :
      Longitude of the station, best estimate
      standard_name :
      longitude
      units :
      degrees_east
      valid_max :
      180.0
      valid_min :
      -180.0
      array([-45.143, -45.143, -45.143, ..., -46.56 , -46.56 , -46.56 ])
    • CYCLE_NUMBER
      (N_POINTS)
      int64
      23 23 23 23 23 ... 26 26 26 26 26
      long_name :
      Float cycle number
      convention :
      0..N, 0 : launch cycle (if exists), 1 : first complete cycle
      casted :
      1
      array([23, 23, 23, ..., 26, 26, 26])
    • DATA_MODE
      (N_POINTS)
      <U1
      'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'
      long_name :
      Delayed mode or real time data
      convention :
      R : real time; D : delayed mode; A : real time with adjustment
      casted :
      1
      array(['D', 'D', 'D', ..., 'D', 'D', 'D'], dtype='<U1')
    • DIRECTION
      (N_POINTS)
      <U1
      'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
      long_name :
      Direction of the station profiles
      convention :
      A: ascending profiles, D: descending profiles
      casted :
      1
      array(['A', 'A', 'A', ..., 'A', 'A', 'A'], dtype='<U1')
    • PLATFORM_NUMBER
      (N_POINTS)
      int64
      1901463 1901463 ... 1901463 1901463
      long_name :
      Float unique identifier
      convention :
      WMO float identifier : A9IIIII
      casted :
      1
      array([1901463, 1901463, 1901463, ..., 1901463, 1901463, 1901463])
    • POSITION_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
    • PRES
      (N_POINTS)
      float64
      5.0 10.0 15.0 ... 90.0 95.0 100.0
      long_name :
      Sea Pressure
      standard_name :
      sea_water_pressure
      units :
      decibar
      valid_min :
      0.0
      valid_max :
      12000.0
      resolution :
      0.1
      axis :
      Z
      casted :
      1
      array([  5.,  10.,  15., ...,  90.,  95., 100.])
    • PRES_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
    • PSAL
      (N_POINTS)
      float64
      37.45 37.45 37.45 ... 37.28 37.2
      long_name :
      PRACTICAL SALINITY
      standard_name :
      sea_water_salinity
      units :
      psu
      valid_min :
      0.0
      valid_max :
      43.0
      resolution :
      0.001
      casted :
      1
      array([37.44895172, 37.44792938, 37.44887924, ..., 37.39516068,
             37.27772141, 37.19805908])
    • PSAL_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
    • TEMP
      (N_POINTS)
      float64
      24.08 24.08 24.09 ... 22.83 22.37
      long_name :
      SEA TEMPERATURE IN SITU ITS-90 SCALE
      standard_name :
      sea_water_temperature
      units :
      degree_Celsius
      valid_min :
      -2.0
      valid_max :
      40.0
      resolution :
      0.001
      casted :
      1
      array([24.08099937, 24.08399963, 24.0890007 , ..., 23.5       ,
             22.82999992, 22.37199974])
    • TEMP_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
    • TIME_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
  • DATA_ID :
    ARGO
    DOI :
    http://doi.org/10.17882/42182
    Fetched_from :
    https://www.ifremer.fr/erddap
    Fetched_by :
    gmaze
    Fetched_date :
    2020/10/06
    Fetched_constraints :
    phy_[x=-75.00/-45.00; y=20.00/30.00; z=0.0/100.0; t=2011-01-01/2011-02-01]
    Fetched_uri :
    https://www.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&longitude>=-75&longitude<=-45&latitude>=20&latitude<=30&pres>=0&pres<=100&time>=1293840000.0&time<=1296518400.0&distinct()&orderBy("time,pres")
    history :
    Variables filtered according to DATA_MODE; Variables selected according to QC

Fetched data are returned as a 1D array collection of measurements.

If you prefer to work with a 2D array collection of vertical profiles, simply transform the dataset with the xarray.Dataset accessor method argo.point2profile:

In [4]:
ds = ds.argo.point2profile()
ds
Out[4]:
Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • N_LEVELS: 50
    • N_PROF: 75
    • N_LEVELS
      (N_LEVELS)
      int64
      0 1 2 3 4 5 6 ... 44 45 46 47 48 49
      array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
             18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
             36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])
    • TIME
      (N_PROF)
      datetime64[ns]
      2011-01-01T11:49:19 ... 2011-01-31T11:21:35
      array(['2011-01-01T11:49:19.000000000', '2011-01-02T10:10:50.000000000',
             '2011-01-02T10:23:10.000000000', '2011-01-02T11:26:40.000000000',
             '2011-01-02T11:28:31.000000000', '2011-01-02T12:08:13.000000000',
             '2011-01-02T13:18:08.000000000', '2011-01-04T10:51:56.000000000',
             '2011-01-04T11:32:07.000000000', '2011-01-05T11:15:00.000000000',
             '2011-01-05T11:17:26.000000000', '2011-01-05T11:30:14.000000000',
             '2011-01-06T11:16:02.000000000', '2011-01-06T11:25:16.000000000',
             '2011-01-06T12:57:31.000000000', '2011-01-07T10:57:56.000000000',
             '2011-01-07T12:15:00.000000000', '2011-01-07T12:42:07.000000000',
             '2011-01-08T11:50:27.000000000', '2011-01-08T11:59:26.000000000',
             '2011-01-08T13:30:15.000000000', '2011-01-09T12:26:12.000000000',
             '2011-01-10T11:12:49.000000000', '2011-01-10T11:17:38.000000000',
             '2011-01-10T11:39:09.000000000', '2011-01-10T16:15:15.000000000',
             '2011-01-11T11:22:37.000000000', '2011-01-12T10:12:44.000000000',
             '2011-01-12T10:38:45.000000000', '2011-01-12T11:43:01.000000000',
             '2011-01-12T11:44:20.000000000', '2011-01-12T12:34:21.000000000',
             '2011-01-12T13:14:52.000000000', '2011-01-14T11:20:51.000000000',
             '2011-01-14T11:20:58.000000000', '2011-01-15T11:03:43.000000000',
             '2011-01-15T11:07:17.000000000', '2011-01-16T10:42:00.000000000',
             '2011-01-16T12:37:15.000000000', '2011-01-17T10:14:44.000000000',
             '2011-01-17T10:19:00.000000000', '2011-01-17T12:16:46.000000000',
             '2011-01-18T11:44:32.000000000', '2011-01-18T11:59:26.000000000',
             '2011-01-18T13:30:18.000000000', '2011-01-19T13:01:43.000000000',
             '2011-01-20T11:05:08.000000000', '2011-01-20T11:17:02.000000000',
             '2011-01-20T11:49:32.000000000', '2011-01-21T11:37:57.000000000',
             '2011-01-22T10:11:57.000000000', '2011-01-22T11:23:26.000000000',
             '2011-01-22T11:25:21.000000000', '2011-01-22T11:27:52.000000000',
             '2011-01-22T12:08:15.000000000', '2011-01-22T13:17:30.000000000',
             '2011-01-24T11:01:19.000000000', '2011-01-24T11:19:08.000000000',
             '2011-01-25T10:59:19.000000000', '2011-01-25T12:28:22.000000000',
             '2011-01-25T12:28:34.000000000', '2011-01-25T16:32:04.000000000',
             '2011-01-26T10:10:51.000000000', '2011-01-26T12:06:04.000000000',
             '2011-01-27T09:38:00.000000000', '2011-01-27T10:28:31.000000000',
             '2011-01-27T12:05:35.000000000', '2011-01-28T11:31:26.000000000',
             '2011-01-28T11:59:26.000000000', '2011-01-28T13:00:27.000000000',
             '2011-01-29T12:34:51.000000000', '2011-01-30T11:28:40.000000000',
             '2011-01-30T11:30:14.000000000', '2011-01-30T11:33:24.000000000',
             '2011-01-31T11:21:35.000000000'], dtype='datetime64[ns]')
    • LATITUDE
      (N_PROF)
      float64
      24.54 25.04 21.48 ... 20.86 24.83
      array([24.541     , 25.042     , 21.481     , 27.829     , 29.334     ,
             28.591     , 27.526     , 22.317     , 24.946     , 25.741     ,
             20.208     , 28.499     , 24.854     , 29.98      , 23.5       ,
             26.379     , 27.94199944, 27.857     , 20.115     , 27.845     ,
             24.949     , 24.383     , 27.062     , 20.323     , 28.88      ,
             24.723     , 24.557     , 25.277     , 20.996     , 29.371     ,
             27.988     , 28.469     , 27.881     , 24.765     , 22.378     ,
             29.177     , 25.819     , 24.114     , 23.818     , 26.741     ,
             28.41500092, 27.445     , 20.396     , 27.845     , 25.031     ,
             24.535     , 26.217     , 20.601     , 29.034     , 24.636     ,
             25.607     , 27.891     , 29.566     , 20.952     , 29.047     ,
             28.252     , 22.248     , 24.717     , 25.88      , 29.729     ,
             20.042     , 25.788     , 23.206     , 23.601     , 28.51199913,
             27.251     , 27.302     , 20.538     , 27.845     , 24.943     ,
             24.548     , 29.179     , 26.023     , 20.865     , 24.826     ])
    • LONGITUDE
      (N_PROF)
      float64
      -45.14 -51.58 ... -46.44 -46.56
      array([-45.143     , -51.584     , -60.819     , -56.303     ,
             -51.743     , -69.982     , -73.078     , -48.61      ,
             -47.273     , -51.361     , -49.866     , -70.672     ,
             -71.366     , -59.645     , -68.214     , -73.534     ,
             -56.90701294, -71.873     , -48.832     , -61.532     ,
             -56.394     , -45.535     , -52.079     , -46.035     ,
             -53.673     , -69.679     , -45.579     , -51.801     ,
             -61.019     , -52.209     , -56.378     , -70.461     ,
             -72.824     , -47.019     , -48.715     , -70.955     ,
             -51.842     , -71.832     , -68.256     , -72.808     ,
             -56.92800903, -71.735     , -48.38      , -61.532     ,
             -56.433     , -45.926     , -52.239     , -46.314     ,
             -53.749     , -46.055     , -52.028     , -55.865     ,
             -52.881     , -60.842     , -70.994     , -72.712     ,
             -49.006     , -46.979     , -52.095     , -71.181     ,
             -48.799     , -69.908     , -71.82      , -68.592     ,
             -56.81799316, -72.96      , -71.474     , -48.006     ,
             -61.532     , -56.569     , -46.236     , -53.983     ,
             -53.008     , -46.443     , -46.56      ])
    • N_PROF
      (N_PROF)
      int64
      3 55 25 0 40 10 ... 60 51 48 9 35 6
      array([ 3, 55, 25,  0, 40, 10, 72, 30, 36, 16, 28, 13, 67, 39, 61, 64, 52, 22,
             43, 19, 58, 49,  7, 33, 46, 70,  4, 56, 26, 41,  1, 11, 73, 37, 31, 14,
             17, 68, 62, 65, 53, 23, 44, 20, 59, 50,  8, 34, 47,  5, 57,  2, 42, 27,
             12, 74, 32, 38, 18, 15, 29, 71, 69, 63, 54, 66, 24, 45, 21, 60, 51, 48,
              9, 35,  6])
    • CYCLE_NUMBER
      (N_PROF)
      int64
      23 10 135 23 119 ... 119 163 135 26
      casted :
      1
      array([ 23,  10, 135,  23, 119, 160,   4, 134, 132, 157, 135, 157,   2,
             129,   2,   2, 119, 137, 117, 165,   7,  19, 161, 133, 117,  62,
              24,  11, 136, 120,  24, 161,   5, 133, 135, 158, 158,   3,   3,
               3, 120, 138, 118, 166,   8,  20, 162, 134, 118,  25,  12,  25,
             121, 137, 162,   6, 136, 134, 159, 159, 137,  63,   4,   4, 121,
               4, 139, 119, 167,   9,  21, 119, 163, 135,  26])
    • DATA_MODE
      (N_PROF)
      <U1
      'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'
      casted :
      1
      array(['D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D'], dtype='<U1')
    • DIRECTION
      (N_PROF)
      <U1
      'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
      casted :
      1
      array(['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A'], dtype='<U1')
    • PLATFORM_NUMBER
      (N_PROF)
      int64
      1901463 4901211 ... 4900825 1901463
      casted :
      1
      array([1901463, 4901211, 4900818, 1901461, 4900847, 4900781, 6900828,
             4900823, 4900830, 4900789, 4900819, 4900785, 4901224, 4900839,
             4901221, 4901222, 4901083, 4900808, 4900851, 4900794, 4901215,
             4901062, 4900780, 4900825, 4900852, 6900551, 1901463, 4901211,
             4900818, 4900847, 1901461, 4900781, 6900828, 4900830, 4900823,
             4900785, 4900789, 4901224, 4901221, 4901222, 4901083, 4900808,
             4900851, 4900794, 4901215, 4901062, 4900780, 4900825, 4900852,
             1901463, 4901211, 1901461, 4900847, 4900818, 4900781, 6900828,
             4900823, 4900830, 4900789, 4900785, 4900819, 6900551, 4901224,
             4901221, 4901083, 4901222, 4900808, 4900851, 4900794, 4901215,
             4901062, 4900852, 4900780, 4900825, 1901463])
    • POSITION_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1])
    • PRES
      (N_PROF, N_LEVELS)
      float64
      5.0 10.0 15.0 20.0 ... nan nan nan
      casted :
      1
      array([[  5.,  10.,  15., ...,  nan,  nan,  nan],
             [  2.,   4.,   6., ...,  96.,  98., 100.],
             [  5.,  10.,  15., ...,  nan,  nan,  nan],
             ...,
             [  5.,  10.,  15., ...,  nan,  nan,  nan],
             [  5.,  10.,  15., ...,  nan,  nan,  nan],
             [  5.,  10.,  15., ...,  nan,  nan,  nan]])
    • PRES_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1])
    • PSAL
      (N_PROF, N_LEVELS)
      float64
      37.45 37.45 37.45 ... nan nan nan
      casted :
      1
      array([[37.44895172, 37.44792938, 37.44887924, ...,         nan,
                      nan,         nan],
             [37.2760582 , 37.27626038, 37.27608109, ..., 37.31100082,
              37.31097031, 37.31100845],
             [36.67900085, 36.67908859, 36.67895126, ...,         nan,
                      nan,         nan],
             ...,
             [37.03192902, 37.03199005, 37.03197098, ...,         nan,
                      nan,         nan],
             [37.30398941, 37.30398178, 37.30395889, ...,         nan,
                      nan,         nan],
             [37.3828392 , 37.38293076, 37.3849411 , ...,         nan,
                      nan,         nan]])
    • PSAL_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1])
    • TEMP
      (N_PROF, N_LEVELS)
      float64
      24.08 24.08 24.09 ... nan nan nan
      casted :
      1
      array([[24.08099937, 24.08399963, 24.0890007 , ...,         nan,
                      nan,         nan],
             [24.02799988, 24.02700043, 24.02000046, ..., 23.98900032,
              23.98900032, 23.98999977],
             [25.14699936, 25.14699936, 25.14100075, ...,         nan,
                      nan,         nan],
             ...,
             [22.87800026, 22.88299942, 22.88299942, ...,         nan,
                      nan,         nan],
             [25.13400078, 25.13500023, 25.13500023, ...,         nan,
                      nan,         nan],
             [23.5359993 , 23.54599953, 23.54999924, ...,         nan,
                      nan,         nan]])
    • TEMP_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1])
    • TIME_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1])
  • DATA_ID :
    ARGO
    DOI :
    http://doi.org/10.17882/42182
    Fetched_from :
    https://www.ifremer.fr/erddap
    Fetched_by :
    gmaze
    Fetched_date :
    2020/10/06
    Fetched_constraints :
    phy_[x=-75.00/-45.00; y=20.00/30.00; z=0.0/100.0; t=2011-01-01/2011-02-01]
    Fetched_uri :
    https://www.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&longitude>=-75&longitude<=-45&latitude>=20&latitude<=30&pres>=0&pres<=100&time>=1293840000.0&time<=1296518400.0&distinct()&orderBy("time,pres")
    history :
    Variables filtered according to DATA_MODE; Variables selected according to QC; Transformed with point2profile

You can also fetch data for a specific float using its WMO number:

In [5]:
f = ArgoDataFetcher().float(6902746)
f.to_xarray()
Out[5]:
Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • N_POINTS: 9039
    • TIME
      (N_POINTS)
      datetime64[ns]
      2017-07-06T14:49:00 ... 2019-02-13T07:20:00
      _CoordinateAxisType :
      Time
      actual_range :
      [1.49935254e+09 1.59583524e+09]
      axis :
      T
      ioos_category :
      Time
      long_name :
      Julian day (UTC) of the station relative to REFERENCE_DATE_TIME
      standard_name :
      time
      time_origin :
      01-JAN-1970 00:00:00
      array(['2017-07-06T14:49:00.000000000', '2017-07-06T14:49:00.000000000',
             '2017-07-06T14:49:00.000000000', ...,
             '2019-02-13T07:20:00.000000000', '2019-02-13T07:20:00.000000000',
             '2019-02-13T07:20:00.000000000'], dtype='datetime64[ns]')
    • LATITUDE
      (N_POINTS)
      float64
      20.08 20.08 20.08 ... 16.3 16.3
      _CoordinateAxisType :
      Lat
      actual_range :
      [13.91 25.143]
      axis :
      Y
      colorBarMaximum :
      90.0
      colorBarMinimum :
      -90.0
      ioos_category :
      Location
      long_name :
      Latitude of the station, best estimate
      standard_name :
      latitude
      units :
      degrees_north
      valid_max :
      90.0
      valid_min :
      -90.0
      array([20.079, 20.079, 20.079, ..., 16.305, 16.305, 16.305])
    • N_POINTS
      (N_POINTS)
      int64
      0 1 2 3 4 ... 9035 9036 9037 9038
      array([   0,    1,    2, ..., 9036, 9037, 9038])
    • LONGITUDE
      (N_POINTS)
      float64
      -60.17 -60.17 ... -62.64 -62.64
      _CoordinateAxisType :
      Lon
      actual_range :
      [-85.606 -56.84 ]
      axis :
      X
      colorBarMaximum :
      180.0
      colorBarMinimum :
      -180.0
      ioos_category :
      Location
      long_name :
      Longitude of the station, best estimate
      standard_name :
      longitude
      units :
      degrees_east
      valid_max :
      180.0
      valid_min :
      -180.0
      array([-60.173, -60.173, -60.173, ..., -62.639, -62.639, -62.639])
    • CYCLE_NUMBER
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 ... 84 84 84 84 84 84
      long_name :
      Float cycle number
      convention :
      0..N, 0 : launch cycle (if exists), 1 : first complete cycle
      casted :
      1
      array([ 1,  1,  1, ..., 84, 84, 84])
    • DATA_MODE
      (N_POINTS)
      <U1
      'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'
      long_name :
      Delayed mode or real time data
      convention :
      R : real time; D : delayed mode; A : real time with adjustment
      casted :
      1
      array(['D', 'D', 'D', ..., 'D', 'D', 'D'], dtype='<U1')
    • DIRECTION
      (N_POINTS)
      <U1
      'D' 'D' 'D' 'D' ... 'A' 'A' 'A' 'A'
      long_name :
      Direction of the station profiles
      convention :
      A: ascending profiles, D: descending profiles
      casted :
      1
      array(['D', 'D', 'D', ..., 'A', 'A', 'A'], dtype='<U1')
    • PLATFORM_NUMBER
      (N_POINTS)
      int64
      6902746 6902746 ... 6902746 6902746
      long_name :
      Float unique identifier
      convention :
      WMO float identifier : A9IIIII
      casted :
      1
      array([6902746, 6902746, 6902746, ..., 6902746, 6902746, 6902746])
    • POSITION_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
    • PRES
      (N_POINTS)
      float64
      9.0 14.0 ... 1.488e+03 1.509e+03
      long_name :
      Sea Pressure
      standard_name :
      sea_water_pressure
      units :
      decibar
      valid_min :
      0.0
      valid_max :
      12000.0
      resolution :
      0.1
      axis :
      Z
      casted :
      1
      array([   9.,   14.,   24., ..., 1463., 1488., 1509.])
    • PRES_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
    • PSAL
      (N_POINTS)
      float64
      36.06 36.06 36.06 ... 34.98 34.98
      long_name :
      PRACTICAL SALINITY
      standard_name :
      sea_water_salinity
      units :
      psu
      valid_min :
      0.0
      valid_max :
      43.0
      resolution :
      0.001
      casted :
      1
      array([36.05599976, 36.05599976, 36.05799866, ..., 34.97499847,
             34.97600174, 34.97600174])
    • PSAL_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 2 2 2 2 2 2 2 2
      casted :
      1
      array([1, 1, 1, ..., 2, 2, 2])
    • TEMP
      (N_POINTS)
      float64
      28.04 28.03 28.02 ... 4.281 4.277
      long_name :
      SEA TEMPERATURE IN SITU ITS-90 SCALE
      standard_name :
      sea_water_temperature
      units :
      degree_Celsius
      valid_min :
      -2.0
      valid_max :
      40.0
      resolution :
      0.001
      casted :
      1
      array([28.03800011, 28.0340004 , 28.0189991 , ...,  4.28599977,
              4.28100014,  4.27699995])
    • TEMP_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
    • TIME_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, ..., 1, 1, 1])
  • DATA_ID :
    ARGO
    DOI :
    http://doi.org/10.17882/42182
    Fetched_from :
    https://www.ifremer.fr/erddap
    Fetched_by :
    gmaze
    Fetched_date :
    2020/10/06
    Fetched_constraints :
    phy_WMO6902746
    Fetched_uri :
    https://www.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&platform_number=~"6902746"&distinct()&orderBy("time,pres")
    history :
    Variables filtered according to DATA_MODE; Variables selected according to QC

and in this case, you can visualise float data without download:

In [6]:
f.dashboard()
Out[6]:

or for a float profile using the cycle number:

In [7]:
ArgoDataFetcher().profile(6902755, 12).to_xarray()
Out[7]:
Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • N_POINTS: 107
    • TIME
      (N_POINTS)
      datetime64[ns]
      2018-10-19T23:52:00 ... 2018-10-19T23:52:00
      _CoordinateAxisType :
      Time
      actual_range :
      [1.53999312e+09 1.53999312e+09]
      axis :
      T
      ioos_category :
      Time
      long_name :
      Julian day (UTC) of the station relative to REFERENCE_DATE_TIME
      standard_name :
      time
      time_origin :
      01-JAN-1970 00:00:00
      array(['2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000', '2018-10-19T23:52:00.000000000',
             '2018-10-19T23:52:00.000000000'], dtype='datetime64[ns]')
    • LATITUDE
      (N_POINTS)
      float64
      63.68 63.68 63.68 ... 63.68 63.68
      _CoordinateAxisType :
      Lat
      actual_range :
      [63.679 63.679]
      axis :
      Y
      colorBarMaximum :
      90.0
      colorBarMinimum :
      -90.0
      ioos_category :
      Location
      long_name :
      Latitude of the station, best estimate
      standard_name :
      latitude
      units :
      degrees_north
      valid_max :
      90.0
      valid_min :
      -90.0
      array([63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679, 63.679,
             63.679, 63.679, 63.679])
    • N_POINTS
      (N_POINTS)
      int64
      0 1 2 3 4 5 ... 102 103 104 105 106
      array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,
              14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,
              28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,
              42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,
              56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,
              70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,
              84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,
              98,  99, 100, 101, 102, 103, 104, 105, 106])
    • LONGITUDE
      (N_POINTS)
      float64
      -28.81 -28.81 ... -28.81 -28.81
      _CoordinateAxisType :
      Lon
      actual_range :
      [-28.807 -28.807]
      axis :
      X
      colorBarMaximum :
      180.0
      colorBarMinimum :
      -180.0
      ioos_category :
      Location
      long_name :
      Longitude of the station, best estimate
      standard_name :
      longitude
      units :
      degrees_east
      valid_max :
      180.0
      valid_min :
      -180.0
      array([-28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807, -28.807, -28.807, -28.807, -28.807, -28.807,
             -28.807, -28.807])
    • CYCLE_NUMBER
      (N_POINTS)
      int64
      12 12 12 12 12 ... 12 12 12 12 12
      long_name :
      Float cycle number
      convention :
      0..N, 0 : launch cycle (if exists), 1 : first complete cycle
      casted :
      1
      array([12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
             12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
             12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
             12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
             12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
             12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
             12, 12, 12, 12, 12])
    • DATA_MODE
      (N_POINTS)
      <U1
      'R' 'R' 'R' 'R' ... 'R' 'R' 'R' 'R'
      long_name :
      Delayed mode or real time data
      convention :
      R : real time; D : delayed mode; A : real time with adjustment
      casted :
      1
      array(['R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R', 'R',
             'R', 'R', 'R'], dtype='<U1')
    • DIRECTION
      (N_POINTS)
      <U1
      'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
      long_name :
      Direction of the station profiles
      convention :
      A: ascending profiles, D: descending profiles
      casted :
      1
      array(['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A'], dtype='<U1')
    • PLATFORM_NUMBER
      (N_POINTS)
      int64
      6902755 6902755 ... 6902755 6902755
      long_name :
      Float unique identifier
      convention :
      WMO float identifier : A9IIIII
      casted :
      1
      array([6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755, 6902755, 6902755, 6902755, 6902755, 6902755,
             6902755, 6902755])
    • POSITION_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
    • PRES
      (N_POINTS)
      float64
      3.0 4.0 5.0 ... 1.713e+03 1.732e+03
      long_name :
      Sea Pressure
      standard_name :
      sea_water_pressure
      units :
      decibar
      valid_min :
      0.0
      valid_max :
      12000.0
      resolution :
      0.1
      axis :
      Z
      casted :
      1
      array([   3.,    4.,    5.,    6.,    7.,    8.,    9.,   10.,   16.,
               26.,   35.,   45.,   55.,   66.,   76.,   86.,   96.,  105.,
              116.,  126.,  136.,  146.,  156.,  165.,  175.,  185.,  195.,
              206.,  215.,  225.,  236.,  246.,  255.,  265.,  276.,  286.,
              296.,  305.,  315.,  325.,  335.,  345.,  355.,  365.,  375.,
              385.,  396.,  405.,  415.,  425.,  436.,  445.,  456.,  465.,
              475.,  485.,  496.,  513.,  538.,  563.,  588.,  613.,  638.,
              663.,  688.,  714.,  738.,  763.,  788.,  813.,  838.,  863.,
              888.,  913.,  938.,  963.,  988., 1013., 1038., 1063., 1088.,
             1113., 1138., 1163., 1188., 1213., 1237., 1263., 1288., 1313.,
             1338., 1363., 1387., 1413., 1438., 1463., 1488., 1513., 1538.,
             1563., 1588., 1612., 1637., 1663., 1688., 1713., 1732.])
    • PRES_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
    • PSAL
      (N_POINTS)
      float64
      34.87 34.87 34.87 ... 34.94 34.94
      long_name :
      PRACTICAL SALINITY
      standard_name :
      sea_water_salinity
      units :
      psu
      valid_min :
      0.0
      valid_max :
      43.0
      resolution :
      0.001
      casted :
      1
      array([34.86999893, 34.86999893, 34.86899948, 34.86899948, 34.86899948,
             34.86999893, 34.86999893, 34.86899948, 34.86899948, 34.86299896,
             34.85699844, 34.85100174, 34.84999847, 34.84700012, 34.84400177,
             34.83599854, 34.8409996 , 34.93899918, 34.99000168, 34.98500061,
             34.97600174, 34.98400116, 34.99200058, 34.99599838, 35.        ,
             35.01399994, 35.02500153, 35.01599884, 35.02799988, 35.0379982 ,
             35.04800034, 35.0530014 , 35.04899979, 35.04700089, 35.04199982,
             35.03300095, 35.02899933, 35.03099823, 35.0340004 , 35.03300095,
             35.0320015 , 35.0320015 , 35.03099823, 35.03300095, 35.03499985,
             35.03300095, 35.02000046, 35.        , 34.99499893, 34.99300003,
             34.98899841, 34.98899841, 34.98600006, 34.98400116, 35.00699997,
             35.00699997, 35.00299835, 34.99700165, 34.99499893, 34.99499893,
             34.99100113, 35.        , 34.99200058, 34.99900055, 34.98199844,
             34.97200012, 34.97000122, 34.9659996 , 34.95899963, 34.95500183,
             34.95299911, 34.95100021, 34.95100021, 34.94900131, 34.94800186,
             34.94599915, 34.94400024, 34.94200134, 34.94100189, 34.93999863,
             34.93700027, 34.93700027, 34.93799973, 34.93700027, 34.93700027,
             34.93500137, 34.93399811, 34.93399811, 34.93299866, 34.93299866,
             34.93299866, 34.93299866, 34.93299866, 34.93399811, 34.93399811,
             34.93399811, 34.93399811, 34.93500137, 34.93500137, 34.93600082,
             34.93799973, 34.93799973, 34.93799973, 34.93799973, 34.93700027,
             34.93700027, 34.93700027])
    • PSAL_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
    • TEMP
      (N_POINTS)
      float64
      7.598 7.599 7.602 ... 3.549 3.536
      long_name :
      SEA TEMPERATURE IN SITU ITS-90 SCALE
      standard_name :
      sea_water_temperature
      units :
      degree_Celsius
      valid_min :
      -2.0
      valid_max :
      40.0
      resolution :
      0.001
      casted :
      1
      array([7.59800005, 7.59899998, 7.60200024, 7.60099983, 7.60699987,
             7.6079998 , 7.6079998 , 7.60900021, 7.60699987, 7.56500006,
             7.53399992, 7.51200008, 7.49900007, 7.47900009, 7.46000004,
             7.3920002 , 7.36399984, 7.46600008, 7.48099995, 7.40999985,
             7.29799986, 7.26399994, 7.2750001 , 7.25099993, 7.23899984,
             7.29199982, 7.32299995, 7.23899984, 7.28200006, 7.32999992,
             7.3579998 , 7.37300014, 7.329     , 7.28900003, 7.23899984,
             7.15600014, 7.11499977, 7.10200024, 7.07600021, 7.046     ,
             7.01499987, 6.98999977, 6.96799994, 6.94899988, 6.93200016,
             6.89300013, 6.78299999, 6.67199993, 6.58400011, 6.51300001,
             6.44799995, 6.41300011, 6.38000011, 6.3119998 , 6.37799978,
             6.32200003, 6.24399996, 6.12799978, 5.99700022, 5.89799976,
             5.77799988, 5.74499989, 5.58799982, 5.50400019, 5.27899981,
             5.12099981, 5.02799988, 4.93400002, 4.81599998, 4.704     ,
             4.6079998 , 4.55999994, 4.50899982, 4.4380002 , 4.38600016,
             4.30700016, 4.23400021, 4.18499994, 4.1500001 , 4.11800003,
             4.08400011, 4.04500008, 4.01999998, 4.00400019, 3.98399997,
             3.9519999 , 3.91899991, 3.90300012, 3.88199997, 3.87100005,
             3.85100007, 3.83599997, 3.82299995, 3.80800009, 3.80500007,
             3.79299998, 3.78500009, 3.77399993, 3.7579999 , 3.74699998,
             3.72600007, 3.70799994, 3.68400002, 3.63800001, 3.58800006,
             3.54900002, 3.53600001])
    • TEMP_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
    • TIME_QC
      (N_POINTS)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
  • DATA_ID :
    ARGO
    DOI :
    http://doi.org/10.17882/42182
    Fetched_from :
    https://www.ifremer.fr/erddap
    Fetched_by :
    gmaze
    Fetched_date :
    2020/10/06
    Fetched_constraints :
    phy_WMO6902755_CYC0012
    Fetched_uri :
    https://www.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&platform_number=~"6902755"&cycle_number=~"12"&distinct()&orderBy("time,pres")
    history :
    Variables filtered according to DATA_MODE; Variables selected according to QC

and finally, if you want to work with data interpolated on the same vertical levels (in pressure), than you can simply do it as well like:

In [8]:
import numpy as np
ds = ArgoDataFetcher().float(6902746).to_xarray()
ds = ds.argo.point2profile()
ds
Out[8]:
Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • N_LEVELS: 110
    • N_PROF: 85
    • N_LEVELS
      (N_LEVELS)
      int64
      0 1 2 3 4 5 ... 105 106 107 108 109
      array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,
              14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,
              28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,
              42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,
              56,  57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,
              70,  71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,
              84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,
              98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109])
    • TIME
      (N_PROF)
      datetime64[ns]
      2017-07-06T14:49:00 ... 2019-02-13T07:20:00
      array(['2017-07-06T14:49:00.000000000', '2017-07-08T06:49:00.000000000',
             '2017-07-13T06:53:00.000000000', '2017-07-18T06:49:00.000000000',
             '2017-07-23T06:49:00.000000000', '2017-07-28T06:47:00.000000000',
             '2017-08-02T06:49:00.000000000', '2017-08-07T06:50:00.000000000',
             '2017-08-12T06:53:00.000000000', '2017-08-17T06:52:00.000000000',
             '2017-08-22T06:55:00.000000000', '2017-08-27T06:57:00.000000000',
             '2017-09-01T06:53:00.000000000', '2017-09-06T06:48:00.000000000',
             '2017-09-11T06:49:00.000000000', '2017-09-16T06:55:00.000000000',
             '2017-09-21T06:52:00.000000000', '2017-09-26T06:52:00.000000000',
             '2017-10-01T06:58:00.000000000', '2017-10-06T06:49:00.000000000',
             '2017-10-11T06:58:00.000000000', '2017-10-16T06:52:00.000000000',
             '2017-10-21T06:55:00.000000000', '2017-10-26T06:54:00.000000000',
             '2017-10-31T06:52:00.000000000', '2017-11-05T07:03:00.000000000',
             '2017-11-10T06:55:00.000000000', '2017-11-15T06:56:00.000000000',
             '2017-11-20T06:46:00.000000000', '2017-11-25T06:58:00.000000000',
             '2017-11-30T06:48:00.000000000', '2017-12-05T06:53:00.000000000',
             '2017-12-10T06:53:00.000000000', '2017-12-15T06:56:00.000000000',
             '2017-12-20T06:58:00.000000000', '2017-12-25T06:58:00.000000000',
             '2017-12-30T06:51:00.000000000', '2018-01-04T06:56:00.000000000',
             '2018-01-09T06:53:00.000000000', '2018-01-14T06:56:00.000000000',
             '2018-01-19T06:55:00.000000000', '2018-01-24T06:57:00.000000000',
             '2018-01-29T07:00:00.000000000', '2018-02-03T06:57:00.000000000',
             '2018-02-08T06:46:00.000000000', '2018-02-13T06:55:00.000000000',
             '2018-02-18T06:46:00.000000000', '2018-02-23T07:00:00.000000000',
             '2018-02-28T07:03:00.000000000', '2018-03-05T06:56:00.000000000',
             '2018-03-10T06:58:00.000000000', '2018-03-20T06:59:00.000000000',
             '2018-03-30T07:02:00.000000000', '2018-04-09T06:57:00.000000000',
             '2018-04-19T06:52:00.000000000', '2018-04-29T06:57:00.000000000',
             '2018-05-09T06:59:00.000000000', '2018-05-19T07:01:00.000000000',
             '2018-05-29T06:56:00.000000000', '2018-06-08T06:56:00.000000000',
             '2018-06-18T06:56:00.000000000', '2018-06-28T07:06:00.000000000',
             '2018-07-08T07:00:00.000000000', '2018-07-18T07:02:00.000000000',
             '2018-07-28T07:05:00.000000000', '2018-08-07T06:57:00.000000000',
             '2018-08-17T07:00:00.000000000', '2018-08-27T07:04:00.000000000',
             '2018-09-06T07:06:00.000000000', '2018-09-16T07:08:00.000000000',
             '2018-09-26T07:04:00.000000000', '2018-10-06T07:12:00.000000000',
             '2018-10-16T07:06:00.000000000', '2018-10-26T07:02:00.000000000',
             '2018-11-05T07:22:00.000000000', '2018-11-15T07:16:00.000000000',
             '2018-11-25T07:05:00.000000000', '2018-12-05T07:13:00.000000000',
             '2018-12-15T06:58:00.000000000', '2018-12-25T07:12:00.000000000',
             '2019-01-04T07:16:00.000000000', '2019-01-14T07:17:00.000000000',
             '2019-01-24T07:04:00.000000000', '2019-02-03T07:26:00.000000000',
             '2019-02-13T07:20:00.000000000'], dtype='datetime64[ns]')
    • LATITUDE
      (N_PROF)
      float64
      20.08 20.13 20.21 ... 15.93 16.3
      array([20.079, 20.13 , 20.212, 20.16 , 19.923, 19.652, 19.469, 19.395,
             19.37 , 19.347, 19.242, 19.046, 18.804, 18.593, 18.515, 18.332,
             18.298, 18.263, 18.22 , 18.202, 18.213, 18.265, 18.427, 18.536,
             18.699, 18.887, 19.091, 19.242, 19.324, 19.409, 19.438, 19.371,
             19.234, 19.118, 18.983, 18.927, 18.88 , 18.933, 18.98 , 19.014,
             19.023, 18.966, 18.764, 18.612, 18.535, 18.534, 18.726, 18.958,
             19.22 , 19.417, 19.65 , 19.84 , 19.984, 20.056, 20.336, 20.577,
             20.851, 21.064, 21.17 , 20.893, 20.459, 20.241, 20.104, 19.918,
             19.442, 18.993, 18.544, 18.315, 18.353, 18.394, 18.331, 18.364,
             17.981, 17.554, 16.779, 16.181, 15.588, 15.573, 14.907, 14.641,
             14.494, 14.22 , 15.057, 15.933, 16.305])
    • LONGITUDE
      (N_PROF)
      float64
      -60.17 -60.14 ... -62.54 -62.64
      array([-60.173, -60.14 , -59.992, -59.804, -59.699, -59.723, -59.747,
             -59.838, -59.817, -59.732, -59.534, -59.383, -59.238, -59.124,
             -58.78 , -58.746, -58.829, -58.903, -58.924, -58.886, -59.051,
             -59.094, -59.17 , -59.368, -59.565, -59.652, -59.769, -59.757,
             -59.602, -59.411, -59.16 , -58.869, -58.557, -58.297, -58.119,
             -58.01 , -57.909, -57.849, -57.817, -57.77 , -57.695, -57.581,
             -57.358, -57.081, -56.899, -56.84 , -56.859, -57.   , -57.23 ,
             -57.513, -57.767, -58.293, -58.743, -59.157, -59.562, -59.958,
             -60.129, -60.165, -60.147, -59.808, -59.524, -59.368, -59.481,
             -59.791, -60.262, -60.557, -60.557, -60.504, -60.436, -60.417,
             -60.963, -61.159, -61.285, -61.445, -61.821, -62.751, -62.999,
             -63.199, -62.533, -63.469, -62.947, -62.907, -62.885, -62.539,
             -62.639])
    • N_PROF
      (N_PROF)
      int64
      0 1 2 3 4 5 6 ... 79 80 81 82 83 84
      array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
             18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
             36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
             54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
             72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84])
    • CYCLE_NUMBER
      (N_PROF)
      int64
      1 1 2 3 4 5 6 ... 79 80 81 82 83 84
      casted :
      1
      array([ 1,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,
             17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
             34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
             51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,
             68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84])
    • DATA_MODE
      (N_PROF)
      <U1
      'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'
      casted :
      1
      array(['D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D'], dtype='<U1')
    • DIRECTION
      (N_PROF)
      <U1
      'D' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
      casted :
      1
      array(['D', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A'], dtype='<U1')
    • PLATFORM_NUMBER
      (N_PROF)
      int64
      6902746 6902746 ... 6902746 6902746
      casted :
      1
      array([6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746, 6902746, 6902746, 6902746, 6902746, 6902746, 6902746,
             6902746])
    • POSITION_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
    • PRES
      (N_PROF, N_LEVELS)
      float64
      9.0 14.0 24.0 34.0 ... nan nan nan
      casted :
      1
      array([[   9.,   14.,   24., ...,   nan,   nan,   nan],
             [   3.,    4.,    5., ..., 1989., 2001.,   nan],
             [   3.,    4.,    5., ..., 1986.,   nan,   nan],
             ...,
             [   3.,    4.,    5., ..., 1985.,   nan,   nan],
             [   3.,    4.,    5., ...,   nan,   nan,   nan],
             [   3.,    4.,    5., ...,   nan,   nan,   nan]])
    • PRES_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
    • PSAL
      (N_PROF, N_LEVELS)
      float64
      36.06 36.06 36.06 ... nan nan nan
      casted :
      1
      array([[36.05599976, 36.05599976, 36.05799866, ...,         nan,
                      nan,         nan],
             [35.88999939, 35.88999939, 35.88899994, ..., 34.97200012,
              34.97100067,         nan],
             [35.17900085, 35.18000031, 35.18000031, ..., 34.98500061,
                      nan,         nan],
             ...,
             [36.02099991, 36.02000046, 36.01800156, ..., 34.98300171,
                      nan,         nan],
             [36.00699997, 36.00799942, 36.00799942, ...,         nan,
                      nan,         nan],
             [35.97399902, 35.97299957, 35.97399902, ...,         nan,
                      nan,         nan]])
    • PSAL_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 2 2 2 2 2 2 2 2
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2,
             2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])
    • TEMP
      (N_PROF, N_LEVELS)
      float64
      28.04 28.03 28.02 ... nan nan nan
      casted :
      1
      array([[28.03800011, 28.0340004 , 28.0189991 , ...,         nan,
                      nan,         nan],
             [27.96500015, 27.96500015, 27.96699905, ...,  3.69199991,
               3.67199993,         nan],
             [27.96699905, 27.96699905, 27.96999931, ...,  3.76699996,
                      nan,         nan],
             ...,
             [26.72500038, 26.72699928, 26.72800064, ...,  4.14099979,
                      nan,         nan],
             [26.13500023, 26.13500023, 26.13500023, ...,         nan,
                      nan,         nan],
             [26.4260006 , 26.42900085, 26.42900085, ...,         nan,
                      nan,         nan]])
    • TEMP_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
    • TIME_QC
      (N_PROF)
      int64
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      casted :
      1
      array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
  • DATA_ID :
    ARGO
    DOI :
    http://doi.org/10.17882/42182
    Fetched_from :
    https://www.ifremer.fr/erddap
    Fetched_by :
    gmaze
    Fetched_date :
    2020/10/06
    Fetched_constraints :
    phy_WMO6902746
    Fetched_uri :
    https://www.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&platform_number=~"6902746"&distinct()&orderBy("time,pres")
    history :
    Variables filtered according to DATA_MODE; Variables selected according to QC; Transformed with point2profile
In [9]:
ds.argo.interp_std_levels(np.arange(0,1000,10))
Out[9]:
Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • N_PROF: 83
    • PRES_INTERPOLATED: 100
    • TIME
      (N_PROF)
      datetime64[ns]
      2017-07-08T06:49:00 ... 2019-02-13T07:20:00
      array(['2017-07-08T06:49:00.000000000', '2017-07-13T06:53:00.000000000',
             '2017-07-18T06:49:00.000000000', '2017-07-23T06:49:00.000000000',
             '2017-07-28T06:47:00.000000000', '2017-08-02T06:49:00.000000000',
             '2017-08-07T06:50:00.000000000', '2017-08-12T06:53:00.000000000',
             '2017-08-17T06:52:00.000000000', '2017-08-22T06:55:00.000000000',
             '2017-08-27T06:57:00.000000000', '2017-09-01T06:53:00.000000000',
             '2017-09-06T06:48:00.000000000', '2017-09-11T06:49:00.000000000',
             '2017-09-16T06:55:00.000000000', '2017-09-21T06:52:00.000000000',
             '2017-09-26T06:52:00.000000000', '2017-10-01T06:58:00.000000000',
             '2017-10-06T06:49:00.000000000', '2017-10-11T06:58:00.000000000',
             '2017-10-16T06:52:00.000000000', '2017-10-21T06:55:00.000000000',
             '2017-10-26T06:54:00.000000000', '2017-10-31T06:52:00.000000000',
             '2017-11-05T07:03:00.000000000', '2017-11-10T06:55:00.000000000',
             '2017-11-15T06:56:00.000000000', '2017-11-20T06:46:00.000000000',
             '2017-11-25T06:58:00.000000000', '2017-11-30T06:48:00.000000000',
             '2017-12-05T06:53:00.000000000', '2017-12-10T06:53:00.000000000',
             '2017-12-15T06:56:00.000000000', '2017-12-20T06:58:00.000000000',
             '2017-12-25T06:58:00.000000000', '2017-12-30T06:51:00.000000000',
             '2018-01-04T06:56:00.000000000', '2018-01-09T06:53:00.000000000',
             '2018-01-14T06:56:00.000000000', '2018-01-19T06:55:00.000000000',
             '2018-01-24T06:57:00.000000000', '2018-01-29T07:00:00.000000000',
             '2018-02-03T06:57:00.000000000', '2018-02-08T06:46:00.000000000',
             '2018-02-13T06:55:00.000000000', '2018-02-18T06:46:00.000000000',
             '2018-02-23T07:00:00.000000000', '2018-02-28T07:03:00.000000000',
             '2018-03-05T06:56:00.000000000', '2018-03-10T06:58:00.000000000',
             '2018-03-20T06:59:00.000000000', '2018-03-30T07:02:00.000000000',
             '2018-04-09T06:57:00.000000000', '2018-04-19T06:52:00.000000000',
             '2018-04-29T06:57:00.000000000', '2018-05-09T06:59:00.000000000',
             '2018-05-19T07:01:00.000000000', '2018-05-29T06:56:00.000000000',
             '2018-06-08T06:56:00.000000000', '2018-06-18T06:56:00.000000000',
             '2018-06-28T07:06:00.000000000', '2018-07-08T07:00:00.000000000',
             '2018-07-18T07:02:00.000000000', '2018-07-28T07:05:00.000000000',
             '2018-08-07T06:57:00.000000000', '2018-08-17T07:00:00.000000000',
             '2018-08-27T07:04:00.000000000', '2018-09-06T07:06:00.000000000',
             '2018-09-16T07:08:00.000000000', '2018-09-26T07:04:00.000000000',
             '2018-10-06T07:12:00.000000000', '2018-10-16T07:06:00.000000000',
             '2018-10-26T07:02:00.000000000', '2018-11-15T07:16:00.000000000',
             '2018-11-25T07:05:00.000000000', '2018-12-05T07:13:00.000000000',
             '2018-12-15T06:58:00.000000000', '2018-12-25T07:12:00.000000000',
             '2019-01-04T07:16:00.000000000', '2019-01-14T07:17:00.000000000',
             '2019-01-24T07:04:00.000000000', '2019-02-03T07:26:00.000000000',
             '2019-02-13T07:20:00.000000000'], dtype='datetime64[ns]')
    • LATITUDE
      (N_PROF)
      float64
      20.13 20.21 20.16 ... 15.93 16.3
      array([20.13 , 20.212, 20.16 , 19.923, 19.652, 19.469, 19.395, 19.37 ,
             19.347, 19.242, 19.046, 18.804, 18.593, 18.515, 18.332, 18.298,
             18.263, 18.22 , 18.202, 18.213, 18.265, 18.427, 18.536, 18.699,
             18.887, 19.091, 19.242, 19.324, 19.409, 19.438, 19.371, 19.234,
             19.118, 18.983, 18.927, 18.88 , 18.933, 18.98 , 19.014, 19.023,
             18.966, 18.764, 18.612, 18.535, 18.534, 18.726, 18.958, 19.22 ,
             19.417, 19.65 , 19.84 , 19.984, 20.056, 20.336, 20.577, 20.851,
             21.064, 21.17 , 20.893, 20.459, 20.241, 20.104, 19.918, 19.442,
             18.993, 18.544, 18.315, 18.353, 18.394, 18.331, 18.364, 17.981,
             17.554, 16.181, 15.588, 15.573, 14.907, 14.641, 14.494, 14.22 ,
             15.057, 15.933, 16.305])
    • LONGITUDE
      (N_PROF)
      float64
      -60.14 -59.99 ... -62.54 -62.64
      array([-60.14 , -59.992, -59.804, -59.699, -59.723, -59.747, -59.838,
             -59.817, -59.732, -59.534, -59.383, -59.238, -59.124, -58.78 ,
             -58.746, -58.829, -58.903, -58.924, -58.886, -59.051, -59.094,
             -59.17 , -59.368, -59.565, -59.652, -59.769, -59.757, -59.602,
             -59.411, -59.16 , -58.869, -58.557, -58.297, -58.119, -58.01 ,
             -57.909, -57.849, -57.817, -57.77 , -57.695, -57.581, -57.358,
             -57.081, -56.899, -56.84 , -56.859, -57.   , -57.23 , -57.513,
             -57.767, -58.293, -58.743, -59.157, -59.562, -59.958, -60.129,
             -60.165, -60.147, -59.808, -59.524, -59.368, -59.481, -59.791,
             -60.262, -60.557, -60.557, -60.504, -60.436, -60.417, -60.963,
             -61.159, -61.285, -61.445, -62.751, -62.999, -63.199, -62.533,
             -63.469, -62.947, -62.907, -62.885, -62.539, -62.639])
    • PRES_INTERPOLATED
      (PRES_INTERPOLATED)
      int64
      0 10 20 30 40 ... 960 970 980 990
      array([  0,  10,  20,  30,  40,  50,  60,  70,  80,  90, 100, 110, 120, 130,
             140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270,
             280, 290, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410,
             420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550,
             560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690,
             700, 710, 720, 730, 740, 750, 760, 770, 780, 790, 800, 810, 820, 830,
             840, 850, 860, 870, 880, 890, 900, 910, 920, 930, 940, 950, 960, 970,
             980, 990])
    • N_PROF
      (N_PROF)
      int64
      1 2 3 4 5 6 7 ... 79 80 81 82 83 84
      array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
             19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,
             37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,
             55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72,
             73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84])
    • CYCLE_NUMBER
      (N_PROF)
      float64
      1.0 2.0 3.0 4.0 ... 82.0 83.0 84.0
      casted :
      1
      array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,
             14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26.,
             27., 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39.,
             40., 41., 42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52.,
             53., 54., 55., 56., 57., 58., 59., 60., 61., 62., 63., 64., 65.,
             66., 67., 68., 69., 70., 71., 72., 73., 75., 76., 77., 78., 79.,
             80., 81., 82., 83., 84.])
    • DATA_MODE
      (N_PROF)
      object
      'D' 'D' 'D' 'D' ... 'D' 'D' 'D' 'D'
      casted :
      1
      array(['D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D', 'D',
             'D', 'D', 'D', 'D', 'D'], dtype=object)
    • DIRECTION
      (N_PROF)
      object
      'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
      casted :
      1
      array(['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',
             'A', 'A', 'A', 'A', 'A'], dtype=object)
    • PLATFORM_NUMBER
      (N_PROF)
      float64
      6.903e+06 6.903e+06 ... 6.903e+06
      casted :
      1
      array([6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746., 6902746.,
             6902746., 6902746., 6902746., 6902746., 6902746.])
    • PRES
      (N_PROF, PRES_INTERPOLATED)
      float64
      3.0 10.0 20.0 ... 970.0 980.0 990.0
      array([[  3.,  10.,  20., ..., 970., 980., 990.],
             [  3.,  10.,  20., ..., 970., 980., 990.],
             [  3.,  10.,  20., ..., 970., 980., 990.],
             ...,
             [  3.,  10.,  20., ..., 970., 980., 990.],
             [  3.,  10.,  20., ..., 970., 980., 990.],
             [  3.,  10.,  20., ..., 970., 980., 990.]])
    • PSAL
      (N_PROF, PRES_INTERPOLATED)
      float64
      35.89 35.89 35.91 ... 34.88 34.89
      array([[35.88999939, 35.88800049, 35.90960083, ..., 34.81835938,
              34.8331604 , 34.84716125],
             [35.17900085, 35.18000031, 35.56999969, ..., 34.86703949,
              34.8642395 , 34.85959961],
             [35.33399963, 35.33599854, 36.09599876, ..., 34.83004013,
              34.83723923, 34.84587875],
             ...,
             [36.02099991, 36.02099991, 36.02272797, ..., 34.89972107,
              34.90932037, 34.91811981],
             [36.00699997, 36.00799942, 36.00699997, ..., 34.89703873,
              34.90423935, 34.91047989],
             [35.97399902, 35.97499847, 35.98649979, ..., 34.87499905,
              34.88333257, 34.89151947]])
    • TEMP
      (N_PROF, PRES_INTERPOLATED)
      float64
      27.97 27.97 27.98 ... 5.44 5.388
      array([[27.96500015, 27.96800041, 27.97800026, ...,  6.05160004,
               6.08959995,  6.1213599 ],
             [27.96699905, 27.96800041, 27.99499989, ...,  6.40963989,
               6.32483994,  6.22987999],
             [28.1970005 , 28.19799995, 28.17850018, ...,  6.10204004,
               6.08924002,  6.08004   ],
             ...,
             [26.72500038, 26.72999954, 26.72972679, ...,  5.35455997,
               5.29536007,  5.23592014],
             [26.13500023, 26.1439991 , 26.14149952, ...,  5.33303995,
               5.29024   ,  5.24760004],
             [26.4260006 , 26.43600082, 26.45100021, ...,  5.49250007,
               5.4399999 ,  5.38799976]])
  • DATA_ID :
    ARGO
    DOI :
    http://doi.org/10.17882/42182
    Fetched_from :
    https://www.ifremer.fr/erddap
    Fetched_by :
    gmaze
    Fetched_date :
    2020/10/06
    Fetched_constraints :
    phy_WMO6902746
    Fetched_uri :
    https://www.ifremer.fr/erddap/tabledap/ArgoFloats.nc?data_mode,latitude,longitude,position_qc,time,time_qc,direction,platform_number,cycle_number,pres,temp,psal,pres_qc,temp_qc,psal_qc,pres_adjusted,temp_adjusted,psal_adjusted,pres_adjusted_qc,temp_adjusted_qc,psal_adjusted_qc,pres_adjusted_error,temp_adjusted_error,psal_adjusted_error&platform_number=~"6902746"&distinct()&orderBy("time,pres")
    history :
    Variables filtered according to DATA_MODE; Variables selected according to QC; Transformed with point2profile; Interpolated on standard levels

don't forget that if you prefer to work with Pandas dataframe, it is as simple as:

In [10]:
ds.to_dataframe()
Out[10]:
CYCLE_NUMBER DATA_MODE DIRECTION PLATFORM_NUMBER POSITION_QC PRES PRES_QC PSAL PSAL_QC TEMP TEMP_QC TIME_QC TIME LATITUDE LONGITUDE
N_LEVELS N_PROF
0 0 1 D D 6902746 1 9.0 1 36.056000 1 28.038000 1 1 2017-07-06 14:49:00 20.079 -60.173
1 1 D A 6902746 1 3.0 1 35.889999 1 27.965000 1 1 2017-07-08 06:49:00 20.130 -60.140
2 2 D A 6902746 1 3.0 1 35.179001 1 27.966999 1 1 2017-07-13 06:53:00 20.212 -59.992
3 3 D A 6902746 1 3.0 1 35.334000 1 28.197001 1 1 2017-07-18 06:49:00 20.160 -59.804
4 4 D A 6902746 1 3.0 1 35.594002 1 28.313000 1 1 2017-07-23 06:49:00 19.923 -59.699
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
109 80 80 D A 6902746 1 NaN 1 NaN 2 NaN 1 1 2019-01-04 07:16:00 14.494 -62.947
81 81 D A 6902746 1 NaN 1 NaN 2 NaN 1 1 2019-01-14 07:17:00 14.220 -62.907
82 82 D A 6902746 1 NaN 1 NaN 2 NaN 1 1 2019-01-24 07:04:00 15.057 -62.885
83 83 D A 6902746 1 NaN 1 NaN 2 NaN 1 1 2019-02-03 07:26:00 15.933 -62.539
84 84 D A 6902746 1 NaN 1 NaN 2 NaN 1 1 2019-02-13 07:20:00 16.305 -62.639

9350 rows × 15 columns