def get_hdf4_file_variables(filename, data_type=None):
"""
Get all variables from a file containing ungridded data.
Concatenate variable from both VD and SD data
:param filename: The filename of the file to get the variables from
:param data_type: String representing the HDF data type, i.e. 'VD' or 'SD'. if None, both are computed.
"""
SD_vars = VD_vars = None
if data_type is None or data_type.lower() == "sd":
SD_vars = hdf_sd.get_hdf_SD_file_variables(filename)
elif data_type is None or data_type.lower() == "vd":
VD_vars = hdf_vd.get_hdf_VD_file_variables(filename)
else:
raise ValueError("Invalid data-type: %s, HDF variables must be VD or SD only" % data_type)
return SD_vars, VD_vars
def get_hdf4_file_variables(filename, data_type=None):
"""
Get all variables from a file containing ungridded data.
Concatenate variable from both VD and SD data
:param filename: The filename of the file to get the variables from
:param data_type: String representing the HDF data type, i.e. 'VD' or 'SD'. if None, both are computed.
"""
SD_vars = VD_vars = None
if data_type is None or data_type.lower() == "sd":
SD_vars = hdf_sd.get_hdf_SD_file_variables(filename)
elif data_type is None or data_type.lower() == "vd":
VD_vars = hdf_vd.get_hdf_VD_file_variables(filename)
else:
raise ValueError(
"Invalid data-type: %s, HDF variables must be VD or SD only" %
data_type)
return SD_vars, VD_vars
def test_that_can_read_all_variables():
dict = hdf_vd.get_hdf_VD_file_variables(valid_hdf_vd_file)
eq_(len(dict), 37)
eq_(True, 'Longitude' in dict)
def test_that_can_read_all_variables():
dict = hdf_vd.get_hdf_VD_file_variables(escape_colons(valid_hdf_vd_file))
eq_(len(dict), 37)
eq_(True, 'Longitude' in dict)
