def do_subset(self, filename, time_min, time_max, variable):
arguments = [
'subset', variable + ':' + escape_colons(filename),
't=[%s,%s]' % (time_min, time_max), '-o', self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def do_subset(self, filename, variable, aux_bounds):
# Join the bounds with a comma if they are both specified
arguments = [
'subset', variable + ':' + escape_colons(filename), aux_bounds,
'-o', self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def do_subset(self, filename, lat_max, lat_min, lon_max, lon_min, variable):
arguments = [
"subset",
variable + ":" + filename,
"x=[%s,%s],y=[%s,%s]" % (lon_min, lon_max, lat_min, lat_max),
"-o",
self.OUTPUT_NAME,
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def test_plot_gridded_2d_with_flattened_time(self):
variable = valid_cis_gridded_output_variable
filename = valid_cis_gridded_output_filename
args = ['subset', variable + ':' + filename, 't=[2007-06-07T15]', '-o', self.OUTPUT_FILENAME]
args = parse_args(args)
subset_cmd(args)
out_name = '3d_out.png'
args = ['plot', variable + ':' + self.OUTPUT_FILENAME, '-o', out_name]
main_arguments = parse_args(args)
plot_cmd(main_arguments)
def test_subset_NCAR_RAF_with_named_time_variable(self):
# Takes 4s
filename = valid_NCAR_NetCDF_RAF_filename
variable = "LATC,LONC,GGALTC,Time,PSXC,WSC,ATX,ATHR2,CONCD_LWI"
time_min, time_max = '2009-01-14T20:15:00', '2009-01-15T02:45:00'
arguments = ['subset', variable + ':' + escape_colons(filename), 'time=[%s,%s]' % (time_min, time_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_temporal_subsetting(time_min, time_max)
self.check_output_contains_variables(self.OUTPUT_FILENAME, variable.split(','))
def test_GIVEN_single_variable_as_var_name_in_gridded_file_WHEN_subset_THEN_subsetted_correctly(self):
variable = valid_hadgem_variable
filename = valid_hadgem_filename
lon_min, lon_max = 0, 10
lat_min, lat_max = 40, 60
arguments = ['subset', variable + ':' + escape_colons(filename),
'longitude=[%s,%s],latitude=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min, 'lat', 'lon')
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable])
def test_GIVEN_single_variable_in_ungridded_file_WHEN_subset_THEN_subsetted_correctly(self):
variable = valid_aerosol_cci_variable
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
arguments = ['subset', variable + ':' + escape_colons(filename),
'x=[%s,%s],y=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min)
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable])
def do_subset(self, filename, variable, alt_bounds='', pres_bounds=''):
# Join the bounds with a comma if they are both specified
joint_bounds = ','.join([
alt_bounds, pres_bounds
]) if alt_bounds and pres_bounds else alt_bounds or pres_bounds
arguments = [
'subset', variable + ':' + escape_colons(filename), joint_bounds,
'-o', self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def test_GIVEN_shape_WHEN_subset_ungridded_data_THEN_subsetted_correctly(self):
variable = valid_aerosol_cci_variable
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
shape_wkt = "POLYGON((-10 50, 0 60, 10 50, 0 40, -10 50))"
arguments = ['subset', variable + ':' + escape_colons(filename),
'shape=%s' % shape_wkt, '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min)
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable])
def test_subset_ECHAM_over_0_360_boundary_plots_OK(self):
var = valid_echamham_variable_1
filename = valid_echamham_filename
args = ['subset', var + ':' + filename, 'x=[-10,10]', '-o', self.OUTPUT_FILENAME]
args = parse_args(args)
subset_cmd(args)
out_name = 'subset_echam_boundary.png'
args = ['plot', var + ":" + self.OUTPUT_FILENAME, '--type', 'contourf', '-o', out_name]
args = parse_args(args)
plot_cmd(args)
os.remove(out_name)
def test_GIVEN_multiple_variables_in_ungridded_file_WHEN_subset_THEN_subsetted_correctly(self):
variable1 = valid_aerosol_cci_variable
variable2 = valid_aerosol_cci_variable_2
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
arguments = ['subset', variable1 + ',' + variable2 + ':' + filename,
'x=[%s,%s],y=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min)
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable1, variable2])
def test_GIVEN_multiple_variables_in_gridded_file_WHEN_subset_THEN_subsetted_correctly(self):
variable1 = valid_echamham_variable_1
variable2 = valid_echamham_variable_2
filename = valid_echamham_filename
lon_min, lon_max = 0, 10
lat_min, lat_max = 40, 60
arguments = ['subset', variable1 + ',' + variable2 + ':' + escape_colons(filename),
'x=[%s,%s],y=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min, 'lat', 'lon')
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable1, variable2])
def test_GIVEN_variables_specified_by_wildcard_WHEN_subset_THEN_subsetted_correctly(self):
variable1 = 'surface_albedo???'
variable2 = 'AOD*'
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
arguments = ['subset', variable1 + ',' + variable2 + ':' + escape_colons(filename),
'x=[%s,%s],y=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min)
self.check_output_contains_variables(self.OUTPUT_FILENAME, ['AOD550', 'AOD870', 'surface_albedo550',
'surface_albedo670', 'surface_albedo870'])
def test_subset_NCAR_RAF_with_named_time_variable(self):
# Takes 4s
filename = valid_NCAR_NetCDF_RAF_filename
variable = "LATC,LONC,GGALTC,Time,PSXC,WSC,ATX,ATHR2,CONCD_LWI"
time_min, time_max = '2009-01-14T20:15:00', '2009-01-15T02:45:00'
arguments = [
'subset', variable + ':' + escape_colons(filename),
'time=[%s,%s]' % (time_min, time_max), '-o', self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_temporal_subsetting(time_min, time_max)
self.check_output_contains_variables(self.OUTPUT_FILENAME,
variable.split(','))
def test_GIVEN_shape_WHEN_subset_ungridded_data_THEN_subsetted_correctly(
self):
variable = valid_aerosol_cci_variable
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
shape_wkt = "POLYGON((-10 50, 0 60, 10 50, 0 40, -10 50))"
arguments = [
'subset', variable + ':' + escape_colons(filename),
'shape=%s' % shape_wkt, '-o', self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min)
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable])
def test_GIVEN_single_variable_as_var_name_in_ungridded_file_WHEN_subset_THEN_subsetted_correctly(
self):
variable = valid_aerosol_cci_variable
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
arguments = [
'subset', variable + ':' + escape_colons(filename),
'lon=[%s,%s],lat=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max),
'-o', self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min)
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable])
def test_GIVEN_single_variable_in_gridded_file_WHEN_subset_THEN_subsetted_correctly(self):
variable = valid_hadgem_variable
filename = valid_hadgem_filename
lon_min, lon_max = 0, 10
lat_min, lat_max = 40, 60
arguments = [
"subset",
variable + ":" + filename,
"x=[%s,%s],y=[%s,%s]" % (lon_min, lon_max, lat_min, lat_max),
"-o",
self.OUTPUT_NAME,
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min, True)
self.check_output_contains_variables(self.GRIDDED_OUTPUT_FILENAME, [variable])
def test_GIVEN_multiple_gridded_variables_on_different_grids_WHEN_subset_THEN_subset_correctly(self):
variable1 = 'v_1'
variable2 = 'rh'
filename = valid_1d_filename
lat_min, lat_max = 40, 60
arguments = ['subset', variable1 + ',' + variable2 + ':' + filename,
'y=[%s,%s]' % (lat_min, lat_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.ds = Dataset(self.OUTPUT_FILENAME)
lat = self.ds.variables['latitude'][:]
assert_that(min(lat), greater_than_or_equal_to(lat_min))
assert_that(max(lat), less_than_or_equal_to(lat_max))
lat_1 = self.ds.variables['latitude_1'][:]
assert_that(min(lat_1), greater_than_or_equal_to(lat_min))
assert_that(max(lat_1), less_than_or_equal_to(lat_max))
self.check_output_contains_variables(self.OUTPUT_FILENAME, [variable1, variable2])
def test_GIVEN_multiple_variables_in_ungridded_file_WHEN_subset_THEN_subsetted_correctly(self):
variable1 = valid_aerosol_cci_variable
variable2 = valid_aerosol_cci_variable_2
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
arguments = [
"subset",
variable1 + "," + variable2 + ":" + filename,
"x=[%s,%s],y=[%s,%s]" % (lon_min, lon_max, lat_min, lat_max),
"-o",
self.OUTPUT_NAME,
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min, False)
self.check_output_contains_variables(self.UNGRIDDED_OUTPUT_FILENAME, [variable1, variable2])
def test_GIVEN_multiple_variables_in_gridded_file_WHEN_subset_THEN_subsetted_correctly(
self):
variable1 = valid_echamham_variable_1
variable2 = valid_echamham_variable_2
filename = valid_echamham_filename
lon_min, lon_max = 0, 10
lat_min, lat_max = 40, 60
arguments = [
'subset',
variable1 + ',' + variable2 + ':' + escape_colons(filename),
'x=[%s,%s],y=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o',
self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min, 'lat',
'lon')
self.check_output_contains_variables(self.OUTPUT_FILENAME,
[variable1, variable2])
def test_GIVEN_variables_specified_by_wildcard_WHEN_subset_THEN_subsetted_correctly(
self):
variable1 = 'surface_albedo???'
variable2 = 'AOD*'
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
arguments = [
'subset',
variable1 + ',' + variable2 + ':' + escape_colons(filename),
'x=[%s,%s],y=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o',
self.OUTPUT_FILENAME
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min)
self.check_output_contains_variables(self.OUTPUT_FILENAME, [
'AOD550', 'AOD870', 'surface_albedo550', 'surface_albedo670',
'surface_albedo870'
])
def test_plot_gridded_2d_with_flattened_time(self):
variable = valid_cis_gridded_output_variable
filename = valid_cis_gridded_output_filename
args = [
'subset', variable + ':' + escape_colons(filename) +
":product=NetCDF_Gridded", 't=[2007-06-07T15]', '-o',
self.OUTPUT_FILENAME
]
args = parse_args(args)
subset_cmd(args)
out_name = '3d_out.png'
args = [
'plot',
variable + ':' + self.OUTPUT_FILENAME + ":product=NetCDF_Gridded",
'-o', out_name
]
main_arguments = parse_args(args)
plot_cmd(main_arguments)
os.remove(out_name)
def test_GIVEN_variables_specified_by_wildcard_WHEN_subset_THEN_subsetted_correctly(self):
variable1 = "surface_albedo???"
variable2 = "AOD*"
filename = valid_aerosol_cci_filename
lon_min, lon_max = -10, 10
lat_min, lat_max = 40, 60
arguments = [
"subset",
variable1 + "," + variable2 + ":" + filename,
"x=[%s,%s],y=[%s,%s]" % (lon_min, lon_max, lat_min, lat_max),
"-o",
self.OUTPUT_NAME,
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
self.check_latlon_subsetting(lat_max, lat_min, lon_max, lon_min, False)
self.check_output_contains_variables(
self.UNGRIDDED_OUTPUT_FILENAME,
["AOD550", "AOD870", "surface_albedo550", "surface_albedo670", "surface_albedo870"],
)
def test_subset_ECHAM_over_0_360_boundary_plots_OK(self):
var = valid_echamham_variable_1
filename = valid_echamham_filename
args = [
'subset',
var + ':' + escape_colons(filename) + ":product=NetCDF_Gridded",
'x=[-10,10]', '-o', self.OUTPUT_FILENAME
]
args = parse_args(args)
subset_cmd(args)
out_name = 'subset_echam_boundary.png'
args = [
'plot',
var + ":" + self.OUTPUT_FILENAME + ":product=NetCDF_Gridded",
'--type', 'contourf', '-o', out_name
]
args = parse_args(args)
plot_cmd(args)
os.remove(out_name)
def test_GIVEN_multiple_gridded_variables_on_different_grids_WHEN_subset_THEN_subset_correctly(self):
variable1 = "v_1"
variable2 = "rh"
filename = valid_1d_filename
lat_min, lat_max = 40, 60
arguments = [
"subset",
variable1 + "," + variable2 + ":" + filename,
"y=[%s,%s]" % (lat_min, lat_max),
"-o",
self.OUTPUT_NAME,
]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
ds = Dataset(self.GRIDDED_OUTPUT_FILENAME)
lat = ds.variables["latitude"][:]
assert_that(min(lat), greater_than_or_equal_to(lat_min))
assert_that(max(lat), less_than_or_equal_to(lat_max))
lat_1 = ds.variables["latitude_1"][:]
assert_that(min(lat_1), greater_than_or_equal_to(lat_min))
assert_that(max(lat_1), less_than_or_equal_to(lat_max))
self.check_output_contains_variables(self.GRIDDED_OUTPUT_FILENAME, [variable1, variable2])
def do_subset(self, filename, time_min, time_max, variable):
arguments = ["subset", variable + ":" + filename, "t=[%s,%s]" % (time_min, time_max), "-o", self.OUTPUT_NAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def do_subset(self, filename, time_min, time_max, variable):
arguments = ['subset', variable + ':' + filename, 't=[%s,%s]' % (time_min, time_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def do_subset(self, filename, lat_max, lat_min, lon_max, lon_min, variable):
arguments = ['subset', variable + ':' + escape_colons(filename),
'x=[%s,%s],y=[%s,%s]' % (lon_min, lon_max, lat_min, lat_max), '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def do_subset(self, filename, variable, alt_bounds='', pres_bounds=''):
# Join the bounds with a comma if they are both specified
joint_bounds = ','.join([alt_bounds, pres_bounds]) if alt_bounds and pres_bounds else alt_bounds or pres_bounds
arguments = ['subset', variable + ':' + escape_colons(filename), joint_bounds, '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)
def do_subset(self, filename, variable, aux_bounds):
# Join the bounds with a comma if they are both specified
arguments = ['subset', variable + ':' + escape_colons(filename), aux_bounds, '-o', self.OUTPUT_FILENAME]
main_arguments = parse_args(arguments)
subset_cmd(main_arguments)