Python versione Bignami - Il modulo grib_api

import grib_api

for grib in grib_api.read("file.grib"):
    # grib_api keys can be accessed like a dict
    print "centre:", grib["originatingCentre"]
    print "subcentre:", grib["subCentre"]

    # Like a dict, you can use keys() to list the keys
    print "grib_api keys:", grib.keys()

    # The grid of data is read as a NumPY array
    values = grib["values"]
    print numpy.average(values)

    # grib_api also georeferences data producing arrays of latitudes and
    # longitudes
    latitudes = grib["latitudes"]
    longitudes = grib["longitudes"]

    # Edit a grib just by assigning values
    grib["generatingProcessIdentifier"] = 98

    # Modify the gridded data
    vals = grib["values"]
    vals[1] = 123.456
    grib["values"] = vals

    # Reencode the grib, with the modifications
    buf = grib.encode()
    print "Length of encoded grib:", len(buf)

    # Decode a grib from a string
    grib1 = grib_api.decode(buf)

    # You can also convert a grib into a real dictionary, which will however
    # use more memory than the grib
    d = grib.as_dict()