ERA5 point data time series

import earthkit.plots as ekp
import earthkit.data as ekd

data = ekd.from_source("sample", "era5-reading-2m-temperature-202508.nc")

ds = data.to_xarray()
ds

<xarray.Dataset> Size: 1kB
Dimensions:     (valid_time: 96)
Coordinates:
  * valid_time  (valid_time) datetime64[ns] 768B 2025-08-20 ... 2025-08-23T23...
    latitude    float64 8B ...
    longitude   float64 8B ...
Data variables:
    t2m         (valid_time) float32 384B ...
Attributes:
    Conventions:             CF-1.7
    GRIB_centre:             ecmf
    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts
    GRIB_edition:            1
    GRIB_subCentre:          0
    history:                 2024-09-02T04:48 GRIB to CDM+CF via cfgrib-0.9.1...
    institution:             European Centre for Medium-Range Weather Forecasts

xarray.Dataset

• Dimensions:
  • valid_time: 96
• Coordinates: (3)
  • valid_time
    (valid_time)
    datetime64[ns]
    2025-08-20 ... 2025-08-23T23:00:00

    array(['2025-08-20T00:00:00.000000000', '2025-08-20T01:00:00.000000000',
           '2025-08-20T02:00:00.000000000', '2025-08-20T03:00:00.000000000',
           '2025-08-20T04:00:00.000000000', '2025-08-20T05:00:00.000000000',
           '2025-08-20T06:00:00.000000000', '2025-08-20T07:00:00.000000000',
           '2025-08-20T08:00:00.000000000', '2025-08-20T09:00:00.000000000',
           '2025-08-20T10:00:00.000000000', '2025-08-20T11:00:00.000000000',
           '2025-08-20T12:00:00.000000000', '2025-08-20T13:00:00.000000000',
           '2025-08-20T14:00:00.000000000', '2025-08-20T15:00:00.000000000',
           '2025-08-20T16:00:00.000000000', '2025-08-20T17:00:00.000000000',
           '2025-08-20T18:00:00.000000000', '2025-08-20T19:00:00.000000000',
           '2025-08-20T20:00:00.000000000', '2025-08-20T21:00:00.000000000',
           '2025-08-20T22:00:00.000000000', '2025-08-20T23:00:00.000000000',
           '2025-08-21T00:00:00.000000000', '2025-08-21T01:00:00.000000000',
           '2025-08-21T02:00:00.000000000', '2025-08-21T03:00:00.000000000',
           '2025-08-21T04:00:00.000000000', '2025-08-21T05:00:00.000000000',
           '2025-08-21T06:00:00.000000000', '2025-08-21T07:00:00.000000000',
           '2025-08-21T08:00:00.000000000', '2025-08-21T09:00:00.000000000',
           '2025-08-21T10:00:00.000000000', '2025-08-21T11:00:00.000000000',
           '2025-08-21T12:00:00.000000000', '2025-08-21T13:00:00.000000000',
           '2025-08-21T14:00:00.000000000', '2025-08-21T15:00:00.000000000',
           '2025-08-21T16:00:00.000000000', '2025-08-21T17:00:00.000000000',
           '2025-08-21T18:00:00.000000000', '2025-08-21T19:00:00.000000000',
           '2025-08-21T20:00:00.000000000', '2025-08-21T21:00:00.000000000',
           '2025-08-21T22:00:00.000000000', '2025-08-21T23:00:00.000000000',
           '2025-08-22T00:00:00.000000000', '2025-08-22T01:00:00.000000000',
           '2025-08-22T02:00:00.000000000', '2025-08-22T03:00:00.000000000',
           '2025-08-22T04:00:00.000000000', '2025-08-22T05:00:00.000000000',
           '2025-08-22T06:00:00.000000000', '2025-08-22T07:00:00.000000000',
           '2025-08-22T08:00:00.000000000', '2025-08-22T09:00:00.000000000',
           '2025-08-22T10:00:00.000000000', '2025-08-22T11:00:00.000000000',
           '2025-08-22T12:00:00.000000000', '2025-08-22T13:00:00.000000000',
           '2025-08-22T14:00:00.000000000', '2025-08-22T15:00:00.000000000',
           '2025-08-22T16:00:00.000000000', '2025-08-22T17:00:00.000000000',
           '2025-08-22T18:00:00.000000000', '2025-08-22T19:00:00.000000000',
           '2025-08-22T20:00:00.000000000', '2025-08-22T21:00:00.000000000',
           '2025-08-22T22:00:00.000000000', '2025-08-22T23:00:00.000000000',
           '2025-08-23T00:00:00.000000000', '2025-08-23T01:00:00.000000000',
           '2025-08-23T02:00:00.000000000', '2025-08-23T03:00:00.000000000',
           '2025-08-23T04:00:00.000000000', '2025-08-23T05:00:00.000000000',
           '2025-08-23T06:00:00.000000000', '2025-08-23T07:00:00.000000000',
           '2025-08-23T08:00:00.000000000', '2025-08-23T09:00:00.000000000',
           '2025-08-23T10:00:00.000000000', '2025-08-23T11:00:00.000000000',
           '2025-08-23T12:00:00.000000000', '2025-08-23T13:00:00.000000000',
           '2025-08-23T14:00:00.000000000', '2025-08-23T15:00:00.000000000',
           '2025-08-23T16:00:00.000000000', '2025-08-23T17:00:00.000000000',
           '2025-08-23T18:00:00.000000000', '2025-08-23T19:00:00.000000000',
           '2025-08-23T20:00:00.000000000', '2025-08-23T21:00:00.000000000',
           '2025-08-23T22:00:00.000000000', '2025-08-23T23:00:00.000000000'],
          dtype='datetime64[ns]')

  • latitude
    ()
    float64
    ...

    long_name :

    latitude

    standard_name :

    latitude

    stored_direction :

    decreasing

    units :

    degrees_north

    [1 values with dtype=float64]

  • longitude
    ()
    float64
    ...

    long_name :

    longitude

    standard_name :

    longitude

    units :

    degrees_east

    [1 values with dtype=float64]

• Data variables: (1)
  • t2m
    (valid_time)
    float32
    ...

    GRIB_NV :

    0

    GRIB_Nx :

    1440

    GRIB_Ny :

    721

    GRIB_cfName :

    unknown

    GRIB_cfVarName :

    t2m

    GRIB_dataType :

    an

    GRIB_gridDefinitionDescription :

    Latitude/Longitude Grid

    GRIB_gridType :

    regular_ll

    GRIB_iDirectionIncrementInDegrees :

    0.25

    GRIB_iScansNegatively :

    0

    GRIB_jDirectionIncrementInDegrees :

    0.25

    GRIB_jPointsAreConsecutive :

    0

    GRIB_jScansPositively :

    0

    GRIB_latitudeOfFirstGridPointInDegrees :

    90.0

    GRIB_latitudeOfLastGridPointInDegrees :

    -90.0

    GRIB_longitudeOfFirstGridPointInDegrees :

    0.0

    GRIB_longitudeOfLastGridPointInDegrees :

    359.75

    GRIB_missingValue :

    3.4028234663852886e+38

    GRIB_name :

    2 metre temperature

    GRIB_numberOfPoints :

    1038240

    GRIB_paramId :

    167

    GRIB_shortName :

    2t

    GRIB_stepType :

    instant

    GRIB_stepUnits :

    1

    GRIB_totalNumber :

    0

    GRIB_typeOfLevel :

    surface

    GRIB_units :

    K

    long_name :

    2 metre temperature

    standard_name :

    unknown

    units :

    K

    [96 values with dtype=float32]

• Attributes: (7)

  Conventions :

  CF-1.7

  GRIB_centre :

  ecmf

  GRIB_centreDescription :

  European Centre for Medium-Range Weather Forecasts

  GRIB_edition :

  1

  GRIB_subCentre :

  0

  history :

  2024-09-02T04:48 GRIB to CDM+CF via cfgrib-0.9.10.4/ecCodes-2.26.0 with {"source": "../../../../../admp-scratch/data/arco-job-76964210-9c34-4488-a458-d3511cc8a37a-inputs/pre-reanalysis_era5_single_levels-sfc:1-sst-20150131-000000.grib", "filter_by_keys": {}, "encode_cf": ["parameter", "time", "geography", "vertical"]}

  institution :

  European Centre for Medium-Range Weather Forecasts

ekp.timeseries.line(
    ds,
    color="red",
    title="ERA5 hourly {variable_name} at {latitude:%Lt} {longitude:%Ln} ({location:%c}, {location:%C})",
    xticks={
        "frequency": "D",
        "format": "%d %B",
        "period": True,
    },
    yunits="celsius",
).show()