# add the latitude and longitude coordinates to the cube, with mappings to data dimensions
cube.add_dim_coord(lat_coord, 0)
cube.add_dim_coord(lon_coord, 1)
# implement standard iris callback capability. Although callbacks are not used in this example, the standard
# mechanism for a custom loader to implement a callback is shown:
cube = iris.io.run_callback(callback, cube, [header, field_headings, data_array], filename)
# yield the cube created (the loop will continue when the next() element is requested)
yield cube
# Create a format_picker specification of the NAME file format giving it a
# priority greater than the built in NAME loader.
_NAME_III_spec = format_picker.FormatSpecification('Name III', format_picker.LeadingLine(),
lambda line: line.startswith("NAME III"), NAME_to_cube,
priority=6)
# Register the NAME loader with iris
iris.fileformats.FORMAT_AGENT.add_spec(_NAME_III_spec)
# ---------------------------------------------
# | Using the new loader |
# ---------------------------------------------
def main():
fname = iris.sample_data_path('NAME_output.txt')
boundary_volc_ash_constraint = iris.Constraint('VOLCANIC_ASH_AIR_CONCENTRATION', flight_level='From FL000 - FL200')
# implement standard iris callback capability. Although callbacks are not used in this example, the standard
# mechanism for a custom loader to implement a callback is shown:
cube = iris.io.run_callback(callback, cube,
[header, field_headings, data_array],
filename)
# yield the cube created (the loop will continue when the next() element is requested)
yield cube
# Create a format_picker specification of the NAME file format giving it a priority below NetCDF, GRIB & PP etc.
_NAME_III_spec = format_picker.FormatSpecification(
'Name III',
format_picker.LEADING_LINE,
lambda line: line.startswith("NAME III"),
NAME_to_cube,
priority=3,
)
# Register the NAME loader with iris
iris.fileformats.FORMAT_AGENT.add_spec(_NAME_III_spec)
# ---------------------------------------------
# | Using the new loader |
# ---------------------------------------------
def main():
fname = iris.sample_data_path('NAME_output.txt')
self._endian = endian
super(LeadingLineUff, self).__init__(requires_fh=True)
def get_element(self, basename, file_handle):
with uff.FortranFile(file_handle.name, endian=self._endian) as uffile:
try:
leading_line = uffile.readline()
except IOError:
leading_line = ''
return leading_line
bpch_spec = fp.FormatSpecification(
'Binary Punch File (BPCH) v2 (big-endian)',
LeadingLineUff('>'),
lambda line: line.lstrip().startswith(bpch.FILETYPE02),
cubes_from_bpch,
priority=7
)
iris.fileformats.FORMAT_AGENT.add_spec(bpch_spec)
bpch_spec_le = fp.FormatSpecification(
'Binary Punch File (BPCH) v2 (little-endian)',
LeadingLineUff('<'),
lambda line: line.lstrip().startswith(bpch.FILETYPE02),
lambda filenames, callback=None: cubes_from_bpch(filenames, callback,
endian='<'),
priority=6
)
iris.fileformats.FORMAT_AGENT.add_spec(bpch_spec_le)
# TODO: CTM bin 4D format (?)