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jjgomera/iapws | iapws/iapws97.py | _Backward3a_P_hs | def _Backward3a_P_hs(h, s):
"""Backward equation for region 3a, P=f(h,s)
Parameters
----------
h : float
Specific enthalpy, [kJ/kg]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
P : float
Pressure, [MPa]
References
----------
IAPWS, Revised S... | python | def _Backward3a_P_hs(h, s):
"""Backward equation for region 3a, P=f(h,s)
Parameters
----------
h : float
Specific enthalpy, [kJ/kg]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
P : float
Pressure, [MPa]
References
----------
IAPWS, Revised S... | [
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jjgomera/iapws | iapws/iapws97.py | _Backward3_P_hs | def _Backward3_P_hs(h, s):
"""Backward equation for region 3, P=f(h,s)
Parameters
----------
h : float
Specific enthalpy, [kJ/kg]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
P : float
Pressure, [MPa]
"""
sc = 4.41202148223476
if s <= sc:
... | python | def _Backward3_P_hs(h, s):
"""Backward equation for region 3, P=f(h,s)
Parameters
----------
h : float
Specific enthalpy, [kJ/kg]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
P : float
Pressure, [MPa]
"""
sc = 4.41202148223476
if s <= sc:
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Specific entropy, [kJ/kgK]
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jjgomera/iapws | iapws/iapws97.py | _Backward3_sat_v_P | def _Backward3_sat_v_P(P, T, x):
"""Backward equation for region 3 for saturated state, vs=f(P,x)
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
x : integer
Vapor quality, [-]
Returns
-------
v : float
Specific volume, [m³... | python | def _Backward3_sat_v_P(P, T, x):
"""Backward equation for region 3 for saturated state, vs=f(P,x)
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
x : integer
Vapor quality, [-]
Returns
-------
v : float
Specific volume, [m³... | [
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jjgomera/iapws | iapws/iapws97.py | _Backward3_v_PT | def _Backward3_v_PT(P, T):
"""Backward equation for region 3, v=f(P,T)
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
Returns
-------
v : float
Specific volume, [m³/kg]
References
----------
IAPWS, Revised Supplementary R... | python | def _Backward3_v_PT(P, T):
"""Backward equation for region 3, v=f(P,T)
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
Returns
-------
v : float
Specific volume, [m³/kg]
References
----------
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jjgomera/iapws | iapws/iapws97.py | _Backward3x_v_PT | def _Backward3x_v_PT(T, P, x):
"""Backward equation for region 3x, v=f(P,T)
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
x : char
Region 3 subregion code
Returns
-------
v : float
Specific volume, [m³/kg]
References... | python | def _Backward3x_v_PT(T, P, x):
"""Backward equation for region 3x, v=f(P,T)
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
x : char
Region 3 subregion code
Returns
-------
v : float
Specific volume, [m³/kg]
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jjgomera/iapws | iapws/iapws97.py | _Region4 | def _Region4(P, x):
"""Basic equation for region 4
Parameters
----------
P : float
Pressure, [MPa]
x : float
Vapor quality, [-]
Returns
-------
prop : dict
Dict with calculated properties. The available properties are:
* T: Saturated temperature, [K... | python | def _Region4(P, x):
"""Basic equation for region 4
Parameters
----------
P : float
Pressure, [MPa]
x : float
Vapor quality, [-]
Returns
-------
prop : dict
Dict with calculated properties. The available properties are:
* T: Saturated temperature, [K... | [
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jjgomera/iapws | iapws/iapws97.py | _Bound_TP | def _Bound_TP(T, P):
"""Region definition for input T and P
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
Returns
-------
region : float
IAPWS-97 region code
References
----------
Wagner, W; Kretzschmar, H-J: Internation... | python | def _Bound_TP(T, P):
"""Region definition for input T and P
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
Returns
-------
region : float
IAPWS-97 region code
References
----------
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jjgomera/iapws | iapws/iapws97.py | _Bound_Ph | def _Bound_Ph(P, h):
"""Region definition for input P y h
Parameters
----------
P : float
Pressure, [MPa]
h : float
Specific enthalpy, [kJ/kg]
Returns
-------
region : float
IAPWS-97 region code
References
----------
Wagner, W; Kretzschmar, H-J: Int... | python | def _Bound_Ph(P, h):
"""Region definition for input P y h
Parameters
----------
P : float
Pressure, [MPa]
h : float
Specific enthalpy, [kJ/kg]
Returns
-------
region : float
IAPWS-97 region code
References
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jjgomera/iapws | iapws/iapws97.py | _Bound_Ps | def _Bound_Ps(P, s):
"""Region definition for input P and s
Parameters
----------
P : float
Pressure, [MPa]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
region : float
IAPWS-97 region code
References
----------
Wagner, W; Kretzschmar, H-J: I... | python | def _Bound_Ps(P, s):
"""Region definition for input P and s
Parameters
----------
P : float
Pressure, [MPa]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
region : float
IAPWS-97 region code
References
----------
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IAPWS-97 region code
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jjgomera/iapws | iapws/iapws97.py | _Bound_hs | def _Bound_hs(h, s):
"""Region definition for input h and s
Parameters
----------
h : float
Specific enthalpy, [kJ/kg]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
region : float
IAPWS-97 region code
References
----------
Wagner, W; Kretzsch... | python | def _Bound_hs(h, s):
"""Region definition for input h and s
Parameters
----------
h : float
Specific enthalpy, [kJ/kg]
s : float
Specific entropy, [kJ/kgK]
Returns
-------
region : float
IAPWS-97 region code
References
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jjgomera/iapws | iapws/iapws97.py | prop0 | def prop0(T, P):
"""Ideal gas properties
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
Returns
-------
prop : dict
Dict with calculated properties. The available properties are:
* v: Specific volume, [m³/kg]
... | python | def prop0(T, P):
"""Ideal gas properties
Parameters
----------
T : float
Temperature, [K]
P : float
Pressure, [MPa]
Returns
-------
prop : dict
Dict with calculated properties. The available properties are:
* v: Specific volume, [m³/kg]
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jjgomera/iapws | iapws/iapws97.py | IAPWS97.calculable | def calculable(self):
"""Check if class is calculable by its kwargs"""
self._thermo = ""
if self.kwargs["T"] and self.kwargs["P"]:
self._thermo = "TP"
elif self.kwargs["P"] and self.kwargs["h"] is not None:
self._thermo = "Ph"
elif self.kwargs["P"] and sel... | python | def calculable(self):
"""Check if class is calculable by its kwargs"""
self._thermo = ""
if self.kwargs["T"] and self.kwargs["P"]:
self._thermo = "TP"
elif self.kwargs["P"] and self.kwargs["h"] is not None:
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jjgomera/iapws | iapws/iapws97.py | IAPWS97.derivative | def derivative(self, z, x, y, fase):
"""Wrapper derivative for custom derived properties
where x, y, z can be: P, T, v, u, h, s, g, a"""
return deriv_G(self, z, x, y, fase) | python | def derivative(self, z, x, y, fase):
"""Wrapper derivative for custom derived properties
where x, y, z can be: P, T, v, u, h, s, g, a"""
return deriv_G(self, z, x, y, fase) | [
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jjgomera/iapws | iapws/ammonia.py | Ttr | def Ttr(x):
"""Equation for the triple point of ammonia-water mixture
Parameters
----------
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Mole fraction of ammonia in mixture, [mol/mol]
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Notes
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Density [kg/m³]
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Mole fraction of ammonia in mixture [mol/mol]
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rho : float
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T : float
Temperature, [K]
x : float
Mole fraction of ammonia in mixture, [mol/mol]
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Density, [kg/m³]
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Mole fraction of ammonia in mixture, [mol/mol]
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jjgomera/iapws | iapws/ammonia.py | H2ONH3._Dphir | def _Dphir(self, tau, delta, x):
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Adimensional temperature, [-]
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Adimensional density, [-]
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spencerahill/aospy | aospy/data_loader.py | _preprocess_and_rename_grid_attrs | def _preprocess_and_rename_grid_attrs(func, grid_attrs=None, **kwargs):
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spencerahill/aospy | aospy/data_loader.py | grid_attrs_to_aospy_names | def grid_attrs_to_aospy_names(data, grid_attrs=None):
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Search all of the dataset's coords and dims looking for matches to known
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spencerahill/aospy | aospy/data_loader.py | set_grid_attrs_as_coords | def set_grid_attrs_as_coords(ds):
"""Set available grid attributes as coordinates in a given Dataset.
Grid attributes are assumed to have their internal aospy names. Grid
attributes are set as coordinates, such that they are carried by all
selected DataArrays with overlapping index dimensions.
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spencerahill/aospy | aospy/data_loader.py | _maybe_cast_to_float64 | def _maybe_cast_to_float64(da):
"""Cast DataArrays to np.float64 if they are of type np.float32.
Parameters
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da : xr.DataArray
Input DataArray
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DataArray
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Parameters
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da : xr.DataArray
Input DataArray
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DataArray
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spencerahill/aospy | aospy/data_loader.py | _sel_var | def _sel_var(ds, var, upcast_float32=True):
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----------
ds : Dataset
Dataset possibly containing var
var : aospy.Var
Variable to find data for
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ds : Dataset
Dataset possibly containing var
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Variable to find data for
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spencerahill/aospy | aospy/data_loader.py | _prep_time_data | def _prep_time_data(ds):
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2. If the Dataset contains a time b... | python | def _prep_time_data(ds):
"""Prepare time coordinate information in Dataset for use in aospy.
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spencerahill/aospy | aospy/data_loader.py | _load_data_from_disk | def _load_data_from_disk(file_set, preprocess_func=lambda ds: ds,
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grid_attrs=None, **kwargs):
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spencerahill/aospy | aospy/data_loader.py | _setattr_default | def _setattr_default(obj, attr, value, default):
"""Set an attribute of an object to a value or default value."""
if value is None:
setattr(obj, attr, default)
else:
setattr(obj, attr, value) | python | def _setattr_default(obj, attr, value, default):
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spencerahill/aospy | aospy/data_loader.py | DataLoader.load_variable | def load_variable(self, var=None, start_date=None, end_date=None,
time_offset=None, grid_attrs=None, **DataAttrs):
"""Load a DataArray for requested variable and time range.
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spencerahill/aospy | aospy/data_loader.py | DataLoader._load_or_get_from_model | def _load_or_get_from_model(self, var, start_date=None, end_date=None,
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spencerahill/aospy | aospy/data_loader.py | DataLoader.recursively_compute_variable | def recursively_compute_variable(self, var, start_date=None, end_date=None,
time_offset=None, model=None,
**DataAttrs):
"""Compute a variable recursively, loading data where needed.
An obvious requirement here is that the variabl... | python | def recursively_compute_variable(self, var, start_date=None, end_date=None,
time_offset=None, model=None,
**DataAttrs):
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spencerahill/aospy | aospy/data_loader.py | DataLoader._maybe_apply_time_shift | def _maybe_apply_time_shift(da, time_offset=None, **DataAttrs):
"""Apply specified time shift to DataArray"""
if time_offset is not None:
time = times.apply_time_offset(da[TIME_STR], **time_offset)
da[TIME_STR] = time
return da | python | def _maybe_apply_time_shift(da, time_offset=None, **DataAttrs):
"""Apply specified time shift to DataArray"""
if time_offset is not None:
time = times.apply_time_offset(da[TIME_STR], **time_offset)
da[TIME_STR] = time
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spencerahill/aospy | aospy/data_loader.py | DictDataLoader._generate_file_set | def _generate_file_set(self, var=None, start_date=None, end_date=None,
domain=None, intvl_in=None, dtype_in_vert=None,
dtype_in_time=None, intvl_out=None):
"""Returns the file_set for the given interval in."""
try:
return self.file_map[in... | python | def _generate_file_set(self, var=None, start_date=None, end_date=None,
domain=None, intvl_in=None, dtype_in_vert=None,
dtype_in_time=None, intvl_out=None):
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spencerahill/aospy | aospy/var.py | Var.to_plot_units | def to_plot_units(self, data, dtype_vert=False):
"""Convert the given data to plotting units."""
if dtype_vert == 'vert_av' or not dtype_vert:
conv_factor = self.units.plot_units_conv
elif dtype_vert == ('vert_int'):
conv_factor = self.units.vert_int_plot_units_conv
... | python | def to_plot_units(self, data, dtype_vert=False):
"""Convert the given data to plotting units."""
if dtype_vert == 'vert_av' or not dtype_vert:
conv_factor = self.units.plot_units_conv
elif dtype_vert == ('vert_int'):
conv_factor = self.units.vert_int_plot_units_conv
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spencerahill/aospy | aospy/var.py | Var.mask_unphysical | def mask_unphysical(self, data):
"""Mask data array where values are outside physically valid range."""
if not self.valid_range:
return data
else:
return np.ma.masked_outside(data, np.min(self.valid_range),
np.max(self.valid_range)) | python | def mask_unphysical(self, data):
"""Mask data array where values are outside physically valid range."""
if not self.valid_range:
return data
else:
return np.ma.masked_outside(data, np.min(self.valid_range),
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spencerahill/aospy | aospy/utils/vertcoord.py | to_radians | def to_radians(arr, is_delta=False):
"""Force data with units either degrees or radians to be radians."""
# Infer the units from embedded metadata, if it's there.
try:
units = arr.units
except AttributeError:
pass
else:
if units.lower().startswith('degrees'):
warn... | python | def to_radians(arr, is_delta=False):
"""Force data with units either degrees or radians to be radians."""
# Infer the units from embedded metadata, if it's there.
try:
units = arr.units
except AttributeError:
pass
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spencerahill/aospy | aospy/utils/vertcoord.py | to_pascal | def to_pascal(arr, is_dp=False):
"""Force data with units either hPa or Pa to be in Pa."""
threshold = 400 if is_dp else 1200
if np.max(np.abs(arr)) < threshold:
warn_msg = "Conversion applied: hPa -> Pa to array: {}".format(arr)
logging.debug(warn_msg)
return arr*100.
return arr | python | def to_pascal(arr, is_dp=False):
"""Force data with units either hPa or Pa to be in Pa."""
threshold = 400 if is_dp else 1200
if np.max(np.abs(arr)) < threshold:
warn_msg = "Conversion applied: hPa -> Pa to array: {}".format(arr)
logging.debug(warn_msg)
return arr*100.
return arr | [
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spencerahill/aospy | aospy/utils/vertcoord.py | to_hpa | def to_hpa(arr):
"""Convert pressure array from Pa to hPa (if needed)."""
if np.max(np.abs(arr)) > 1200.:
warn_msg = "Conversion applied: Pa -> hPa to array: {}".format(arr)
logging.debug(warn_msg)
return arr / 100.
return arr | python | def to_hpa(arr):
"""Convert pressure array from Pa to hPa (if needed)."""
if np.max(np.abs(arr)) > 1200.:
warn_msg = "Conversion applied: Pa -> hPa to array: {}".format(arr)
logging.debug(warn_msg)
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spencerahill/aospy | aospy/utils/vertcoord.py | replace_coord | def replace_coord(arr, old_dim, new_dim, new_coord):
"""Replace a coordinate with new one; new and old must have same shape."""
new_arr = arr.rename({old_dim: new_dim})
new_arr[new_dim] = new_coord
return new_arr | python | def replace_coord(arr, old_dim, new_dim, new_coord):
"""Replace a coordinate with new one; new and old must have same shape."""
new_arr = arr.rename({old_dim: new_dim})
new_arr[new_dim] = new_coord
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spencerahill/aospy | aospy/utils/vertcoord.py | to_pfull_from_phalf | def to_pfull_from_phalf(arr, pfull_coord):
"""Compute data at full pressure levels from values at half levels."""
phalf_top = arr.isel(**{internal_names.PHALF_STR: slice(1, None)})
phalf_top = replace_coord(phalf_top, internal_names.PHALF_STR,
internal_names.PFULL_STR, pfull_co... | python | def to_pfull_from_phalf(arr, pfull_coord):
"""Compute data at full pressure levels from values at half levels."""
phalf_top = arr.isel(**{internal_names.PHALF_STR: slice(1, None)})
phalf_top = replace_coord(phalf_top, internal_names.PHALF_STR,
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spencerahill/aospy | aospy/utils/vertcoord.py | to_phalf_from_pfull | def to_phalf_from_pfull(arr, val_toa=0, val_sfc=0):
"""Compute data at half pressure levels from values at full levels.
Could be the pressure array itself, but it could also be any other data
defined at pressure levels. Requires specification of values at surface
and top of atmosphere.
"""
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defined at pressure levels. Requires specification of values at surface
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spencerahill/aospy | aospy/utils/vertcoord.py | pfull_from_ps | def pfull_from_ps(bk, pk, ps, pfull_coord):
"""Compute pressure at full levels from surface pressure."""
return to_pfull_from_phalf(phalf_from_ps(bk, pk, ps), pfull_coord) | python | def pfull_from_ps(bk, pk, ps, pfull_coord):
"""Compute pressure at full levels from surface pressure."""
return to_pfull_from_phalf(phalf_from_ps(bk, pk, ps), pfull_coord) | [
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spencerahill/aospy | aospy/utils/vertcoord.py | d_deta_from_phalf | def d_deta_from_phalf(arr, pfull_coord):
"""Compute pressure level thickness from half level pressures."""
d_deta = arr.diff(dim=internal_names.PHALF_STR, n=1)
return replace_coord(d_deta, internal_names.PHALF_STR,
internal_names.PFULL_STR, pfull_coord) | python | def d_deta_from_phalf(arr, pfull_coord):
"""Compute pressure level thickness from half level pressures."""
d_deta = arr.diff(dim=internal_names.PHALF_STR, n=1)
return replace_coord(d_deta, internal_names.PHALF_STR,
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spencerahill/aospy | aospy/utils/vertcoord.py | d_deta_from_pfull | def d_deta_from_pfull(arr):
"""Compute $\partial/\partial\eta$ of the array on full hybrid levels.
$\eta$ is the model vertical coordinate, and its value is assumed to simply
increment by 1 from 0 at the surface upwards. The data to be differenced
is assumed to be defined at full pressure levels.
... | python | def d_deta_from_pfull(arr):
"""Compute $\partial/\partial\eta$ of the array on full hybrid levels.
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spencerahill/aospy | aospy/utils/vertcoord.py | dp_from_ps | def dp_from_ps(bk, pk, ps, pfull_coord):
"""Compute pressure level thickness from surface pressure"""
return d_deta_from_phalf(phalf_from_ps(bk, pk, ps), pfull_coord) | python | def dp_from_ps(bk, pk, ps, pfull_coord):
"""Compute pressure level thickness from surface pressure"""
return d_deta_from_phalf(phalf_from_ps(bk, pk, ps), pfull_coord) | [
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spencerahill/aospy | aospy/utils/vertcoord.py | integrate | def integrate(arr, ddim, dim=False, is_pressure=False):
"""Integrate along the given dimension."""
if is_pressure:
dim = vert_coord_name(ddim)
return (arr*ddim).sum(dim=dim) | python | def integrate(arr, ddim, dim=False, is_pressure=False):
"""Integrate along the given dimension."""
if is_pressure:
dim = vert_coord_name(ddim)
return (arr*ddim).sum(dim=dim) | [
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spencerahill/aospy | aospy/utils/vertcoord.py | get_dim_name | def get_dim_name(arr, names):
"""Determine if an object has an attribute name matching a given list."""
for name in names:
# TODO: raise warning/exception when multiple names arr attrs.
if hasattr(arr, name):
return name
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spencerahill/aospy | aospy/utils/vertcoord.py | int_dp_g | def int_dp_g(arr, dp):
"""Mass weighted integral."""
return integrate(arr, to_pascal(dp, is_dp=True),
vert_coord_name(dp)) / GRAV_EARTH | python | def int_dp_g(arr, dp):
"""Mass weighted integral."""
return integrate(arr, to_pascal(dp, is_dp=True),
vert_coord_name(dp)) / GRAV_EARTH | [
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spencerahill/aospy | aospy/utils/vertcoord.py | dp_from_p | def dp_from_p(p, ps, p_top=0., p_bot=1.1e5):
"""Get level thickness of pressure data, incorporating surface pressure.
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spencerahill/aospy | aospy/utils/vertcoord.py | level_thickness | def level_thickness(p, p_top=0., p_bot=1.01325e5):
"""
Calculates the thickness, in Pa, of each pressure level.
Assumes that the pressure values given are at the center of that model
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bottom boundary. The uppermost level extends t... | python | def level_thickness(p, p_top=0., p_bot=1.01325e5):
"""
Calculates the thickness, in Pa, of each pressure level.
Assumes that the pressure values given are at the center of that model
level, except for the lowest value (typically 1000 hPa), which is the
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spencerahill/aospy | aospy/utils/vertcoord.py | does_coord_increase_w_index | def does_coord_increase_w_index(arr):
"""Determine if the array values increase with the index.
Useful, e.g., for pressure, which sometimes is indexed surface to TOA and
sometimes the opposite.
"""
diff = np.diff(arr)
if not np.all(np.abs(np.sign(diff))):
raise ValueError("Array is not ... | python | def does_coord_increase_w_index(arr):
"""Determine if the array values increase with the index.
Useful, e.g., for pressure, which sometimes is indexed surface to TOA and
sometimes the opposite.
"""
diff = np.diff(arr)
if not np.all(np.abs(np.sign(diff))):
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spencerahill/aospy | aospy/utils/times.py | apply_time_offset | def apply_time_offset(time, years=0, months=0, days=0, hours=0):
"""Apply a specified offset to the given time array.
This is useful for GFDL model output of instantaneous values. For example,
3 hourly data postprocessed to netCDF files spanning 1 year each will
actually have time values that are offs... | python | def apply_time_offset(time, years=0, months=0, days=0, hours=0):
"""Apply a specified offset to the given time array.
This is useful for GFDL model output of instantaneous values. For example,
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spencerahill/aospy | aospy/utils/times.py | average_time_bounds | def average_time_bounds(ds):
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Useful for creating a new time array to replace the Dataset's native time
array, in the case that the latter matches either the start or end bounds.
This can cause errors in grouping (akin to an off-by-one err... | python | def average_time_bounds(ds):
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spencerahill/aospy | aospy/utils/times.py | monthly_mean_at_each_ind | def monthly_mean_at_each_ind(monthly_means, sub_monthly_timeseries):
"""Copy monthly mean over each time index in that month.
Parameters
----------
monthly_means : xarray.DataArray
array of monthly means
sub_monthly_timeseries : xarray.DataArray
array of a timeseries at sub-monthly ... | python | def monthly_mean_at_each_ind(monthly_means, sub_monthly_timeseries):
"""Copy monthly mean over each time index in that month.
Parameters
----------
monthly_means : xarray.DataArray
array of monthly means
sub_monthly_timeseries : xarray.DataArray
array of a timeseries at sub-monthly ... | [
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spencerahill/aospy | aospy/utils/times.py | yearly_average | def yearly_average(arr, dt):
"""Average a sub-yearly time-series over each year.
Resulting timeseries comprises one value for each year in which the
original array had valid data. Accounts for (i.e. ignores) masked values
in original data when computing the annual averages.
Parameters
-------... | python | def yearly_average(arr, dt):
"""Average a sub-yearly time-series over each year.
Resulting timeseries comprises one value for each year in which the
original array had valid data. Accounts for (i.e. ignores) masked values
in original data when computing the annual averages.
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spencerahill/aospy | aospy/utils/times.py | ensure_datetime | def ensure_datetime(obj):
"""Return the object if it is a datetime-like object
Parameters
----------
obj : Object to be tested.
Returns
-------
The original object if it is a datetime-like object
Raises
------
TypeError if `obj` is not datetime-like
"""
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"""Return the object if it is a datetime-like object
Parameters
----------
obj : Object to be tested.
Returns
-------
The original object if it is a datetime-like object
Raises
------
TypeError if `obj` is not datetime-like
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spencerahill/aospy | aospy/utils/times.py | month_indices | def month_indices(months):
"""Convert string labels for months to integer indices.
Parameters
----------
months : str, int
If int, number of the desired month, where January=1, February=2,
etc. If str, must match either 'ann' or some subset of
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"""Convert string labels for months to integer indices.
Parameters
----------
months : str, int
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spencerahill/aospy | aospy/utils/times.py | _month_conditional | def _month_conditional(time, months):
"""Create a conditional statement for selecting data in a DataArray.
Parameters
----------
time : xarray.DataArray
Array of times for which to subsample for specific months.
months : int, str, or xarray.DataArray of times
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"""Create a conditional statement for selecting data in a DataArray.
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----------
time : xarray.DataArray
Array of times for which to subsample for specific months.
months : int, str, or xarray.DataArray of times
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spencerahill/aospy | aospy/utils/times.py | extract_months | def extract_months(time, months):
"""Extract times within specified months of the year.
Parameters
----------
time : xarray.DataArray
Array of times that can be represented by numpy.datetime64 objects
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time : xarray.DataArray
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spencerahill/aospy | aospy/utils/times.py | ensure_time_avg_has_cf_metadata | def ensure_time_avg_has_cf_metadata(ds):
"""Add time interval length and bounds coordinates for time avg data.
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the time intervals, and that there is a coordinate that trac... | python | def ensure_time_avg_has_cf_metadata(ds):
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spencerahill/aospy | aospy/utils/times.py | add_uniform_time_weights | def add_uniform_time_weights(ds):
"""Append uniform time weights to a Dataset.
All DataArrays with a time coordinate require a time weights coordinate.
For Datasets read in without a time bounds coordinate or explicit
time weights built in, aospy adds uniform time weights at each point
in the time ... | python | def add_uniform_time_weights(ds):
"""Append uniform time weights to a Dataset.
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spencerahill/aospy | aospy/utils/times.py | _assert_has_data_for_time | def _assert_has_data_for_time(da, start_date, end_date):
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da : DataArray
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start date
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"""Check to make sure data is in Dataset for the given time range.
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spencerahill/aospy | aospy/utils/times.py | sel_time | def sel_time(da, start_date, end_date):
"""Subset a DataArray or Dataset for a given date range.
Ensures that data are present for full extent of requested range.
Appends start and end date of the subset to the DataArray.
Parameters
----------
da : DataArray or Dataset
data to subset
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"""Subset a DataArray or Dataset for a given date range.
Ensures that data are present for full extent of requested range.
Appends start and end date of the subset to the DataArray.
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da : DataArray or Dataset
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spencerahill/aospy | aospy/utils/times.py | assert_matching_time_coord | def assert_matching_time_coord(arr1, arr2):
"""Check to see if two DataArrays have the same time coordinate.
Parameters
----------
arr1 : DataArray or Dataset
First DataArray or Dataset
arr2 : DataArray or Dataset
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Raises
------
ValueError
... | python | def assert_matching_time_coord(arr1, arr2):
"""Check to see if two DataArrays have the same time coordinate.
Parameters
----------
arr1 : DataArray or Dataset
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arr2 : DataArray or Dataset
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spencerahill/aospy | aospy/utils/times.py | ensure_time_as_index | def ensure_time_as_index(ds):
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indexing of time-defined quantities in the resulting xarray.Dataset gets
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spencerahill/aospy | aospy/utils/times.py | infer_year | def infer_year(date):
"""Given a datetime-like object or string infer the year.
Parameters
----------
date : datetime-like object or str
Input date
Returns
-------
int
Examples
--------
>>> infer_year('2000')
2000
>>> infer_year('2000-01')
2000
>>> infe... | python | def infer_year(date):
"""Given a datetime-like object or string infer the year.
Parameters
----------
date : datetime-like object or str
Input date
Returns
-------
int
Examples
--------
>>> infer_year('2000')
2000
>>> infer_year('2000-01')
2000
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spencerahill/aospy | aospy/utils/times.py | maybe_convert_to_index_date_type | def maybe_convert_to_index_date_type(index, date):
"""Convert a datetime-like object to the index's date type.
Datetime indexing in xarray can be done using either a pandas
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spencerahill/aospy | aospy/region.py | Region._make_mask | def _make_mask(self, data, lon_str=LON_STR, lat_str=LAT_STR):
"""Construct the mask that defines a region on a given data's grid."""
mask = False
for west, east, south, north in self.mask_bounds:
if west < east:
mask_lon = (data[lon_str] > west) & (data[lon_str] < eas... | python | def _make_mask(self, data, lon_str=LON_STR, lat_str=LAT_STR):
"""Construct the mask that defines a region on a given data's grid."""
mask = False
for west, east, south, north in self.mask_bounds:
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spencerahill/aospy | aospy/region.py | Region.mask_var | def mask_var(self, data, lon_cyclic=True, lon_str=LON_STR,
lat_str=LAT_STR):
"""Mask the given data outside this region.
Parameters
----------
data : xarray.DataArray
The array to be regionally masked.
lon_cyclic : bool, optional (default True)
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lat_str=LAT_STR):
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data : xarray.DataArray
The array to be regionally masked.
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spencerahill/aospy | aospy/region.py | Region.ts | def ts(self, data, lon_cyclic=True, lon_str=LON_STR, lat_str=LAT_STR,
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spencerahill/aospy | aospy/region.py | Region.av | def av(self, data, lon_str=LON_STR, lat_str=LAT_STR,
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spencerahill/aospy | aospy/model.py | _rename_coords | def _rename_coords(ds, attrs):
"""Rename coordinates to aospy's internal names."""
for name_int, names_ext in attrs.items():
# Check if coord is in dataset already.
ds_coord_name = set(names_ext).intersection(set(ds.coords))
if ds_coord_name:
# Rename to the aospy internal na... | python | def _rename_coords(ds, attrs):
"""Rename coordinates to aospy's internal names."""
for name_int, names_ext in attrs.items():
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ds_coord_name = set(names_ext).intersection(set(ds.coords))
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spencerahill/aospy | aospy/model.py | _bounds_from_array | def _bounds_from_array(arr, dim_name, bounds_name):
"""Get the bounds of an array given its center values.
E.g. if lat-lon grid center lat/lon values are known, but not the
bounds of each grid box. The algorithm assumes that the bounds
are simply halfway between each pair of center values.
"""
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spencerahill/aospy | aospy/model.py | _diff_bounds | def _diff_bounds(bounds, coord):
"""Get grid spacing by subtracting upper and lower bounds."""
try:
return bounds[:, 1] - bounds[:, 0]
except IndexError:
diff = np.diff(bounds, axis=0)
return xr.DataArray(diff, dims=coord.dims, coords=coord.coords) | python | def _diff_bounds(bounds, coord):
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try:
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spencerahill/aospy | aospy/model.py | _grid_sfc_area | def _grid_sfc_area(lon, lat, lon_bounds=None, lat_bounds=None):
"""Calculate surface area of each grid cell in a lon-lat grid."""
# Compute the bounds if not given.
if lon_bounds is None:
lon_bounds = _bounds_from_array(
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if ... | python | def _grid_sfc_area(lon, lat, lon_bounds=None, lat_bounds=None):
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# Compute the bounds if not given.
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lon_bounds = _bounds_from_array(
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spencerahill/aospy | aospy/model.py | Model._get_grid_files | def _get_grid_files(self):
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grid_file_paths = self.grid_file_paths
datasets = []
if isinstance(grid_file_paths, str):
grid_file_paths = [grid_file_paths]
for path in grid_file_paths:
try:
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"""Get the files holding grid data for an aospy object."""
grid_file_paths = self.grid_file_paths
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grid_file_paths = [grid_file_paths]
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spencerahill/aospy | aospy/model.py | Model._set_mult_grid_attr | def _set_mult_grid_attr(self):
"""
Set multiple attrs from grid file given their names in the grid file.
"""
grid_objs = self._get_grid_files()
if self.grid_attrs is None:
self.grid_attrs = {}
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attrs = ... | python | def _set_mult_grid_attr(self):
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spencerahill/aospy | aospy/model.py | Model.set_grid_data | def set_grid_data(self):
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return
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sfc_area = _grid_sfc_area(self.lon, self.lat, self.lon_bounds,
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return
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sfc_area = _grid_sfc_area(self.lon, self.lat, self.lon_bounds,
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spencerahill/aospy | aospy/utils/longitude.py | _other_to_lon | def _other_to_lon(func):
"""Wrapper for casting Longitude operator arguments to Longitude"""
def func_other_to_lon(obj, other):
return func(obj, _maybe_cast_to_lon(other))
return func_other_to_lon | python | def _other_to_lon(func):
"""Wrapper for casting Longitude operator arguments to Longitude"""
def func_other_to_lon(obj, other):
return func(obj, _maybe_cast_to_lon(other))
return func_other_to_lon | [
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spencerahill/aospy | aospy/automate.py | _get_attr_by_tag | def _get_attr_by_tag(obj, tag, attr_name):
"""Get attribute from an object via a string tag.
Parameters
----------
obj : object from which to get the attribute
attr_name : str
Unmodified name of the attribute to be found. The actual attribute
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"""Get attribute from an object via a string tag.
Parameters
----------
obj : object from which to get the attribute
attr_name : str
Unmodified name of the attribute to be found. The actual attribute
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spencerahill/aospy | aospy/automate.py | _permuted_dicts_of_specs | def _permuted_dicts_of_specs(specs):
"""Create {name: value} dict, one each for every permutation.
Each permutation becomes a dictionary, with the keys being the attr names
and the values being the corresponding value for that permutation. These
dicts can then be directly passed to the Calc constructo... | python | def _permuted_dicts_of_specs(specs):
"""Create {name: value} dict, one each for every permutation.
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spencerahill/aospy | aospy/automate.py | _get_all_objs_of_type | def _get_all_objs_of_type(type_, parent):
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Parameters
----------
type_ : The desired type
parent : The object from which to get the attributes with type matching
'type_'
Returns
-------
A list (possibly empty) of att... | python | def _get_all_objs_of_type(type_, parent):
"""Get all attributes of the given type from the given object.
Parameters
----------
type_ : The desired type
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spencerahill/aospy | aospy/automate.py | _prune_invalid_time_reductions | def _prune_invalid_time_reductions(spec):
"""Prune time reductions of spec with no time dimension."""
valid_reductions = []
if not spec['var'].def_time and spec['dtype_out_time'] is not None:
for reduction in spec['dtype_out_time']:
if reduction not in _TIME_DEFINED_REDUCTIONS:
... | python | def _prune_invalid_time_reductions(spec):
"""Prune time reductions of spec with no time dimension."""
valid_reductions = []
if not spec['var'].def_time and spec['dtype_out_time'] is not None:
for reduction in spec['dtype_out_time']:
if reduction not in _TIME_DEFINED_REDUCTIONS:
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spencerahill/aospy | aospy/automate.py | _compute_or_skip_on_error | def _compute_or_skip_on_error(calc, compute_kwargs):
"""Execute the Calc, catching and logging exceptions, but don't re-raise.
Prevents one failed calculation from stopping a larger requested set
of calculations.
"""
try:
return calc.compute(**compute_kwargs)
except Exception:
m... | python | def _compute_or_skip_on_error(calc, compute_kwargs):
"""Execute the Calc, catching and logging exceptions, but don't re-raise.
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"""
try:
return calc.compute(**compute_kwargs)
except Exception:
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spencerahill/aospy | aospy/automate.py | _submit_calcs_on_client | def _submit_calcs_on_client(calcs, client, func):
"""Submit calculations via dask.bag and a distributed client"""
logging.info('Connected to client: {}'.format(client))
if LooseVersion(dask.__version__) < '0.18':
dask_option_setter = dask.set_options
else:
dask_option_setter = dask.confi... | python | def _submit_calcs_on_client(calcs, client, func):
"""Submit calculations via dask.bag and a distributed client"""
logging.info('Connected to client: {}'.format(client))
if LooseVersion(dask.__version__) < '0.18':
dask_option_setter = dask.set_options
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spencerahill/aospy | aospy/automate.py | _exec_calcs | def _exec_calcs(calcs, parallelize=False, client=None, **compute_kwargs):
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calcs : Sequence of ``aospy.Calc`` objects
parallelize : bool, default False
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spencerahill/aospy | aospy/automate.py | submit_mult_calcs | def submit_mult_calcs(calc_suite_specs, exec_options=None):
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spencerahill/aospy | aospy/automate.py | CalcSuite._get_requested_spec | def _get_requested_spec(self, obj, spec_name):
"""Helper to translate user specifications to needed objects."""
requested = self._specs_in[spec_name]
if isinstance(requested, str):
return _get_attr_by_tag(obj, requested, spec_name)
else:
return requested | python | def _get_requested_spec(self, obj, spec_name):
"""Helper to translate user specifications to needed objects."""
requested = self._specs_in[spec_name]
if isinstance(requested, str):
return _get_attr_by_tag(obj, requested, spec_name)
else:
return requested | [
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spencerahill/aospy | aospy/automate.py | CalcSuite._permute_core_specs | def _permute_core_specs(self):
"""Generate all requested combinations of the core objects."""
obj_trees = []
projects = self._get_requested_spec(self._obj_lib, _PROJECTS_STR)
for project in projects:
models = self._get_requested_spec(project, _MODELS_STR)
for mode... | python | def _permute_core_specs(self):
"""Generate all requested combinations of the core objects."""
obj_trees = []
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spencerahill/aospy | aospy/automate.py | CalcSuite._get_regions | def _get_regions(self):
"""Get the requested regions."""
if self._specs_in[_REGIONS_STR] == 'all':
return [_get_all_objs_of_type(
Region, getattr(self._obj_lib, 'regions', self._obj_lib)
)]
else:
return [set(self._specs_in[_REGIONS_STR])] | python | def _get_regions(self):
"""Get the requested regions."""
if self._specs_in[_REGIONS_STR] == 'all':
return [_get_all_objs_of_type(
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spencerahill/aospy | aospy/automate.py | CalcSuite._get_variables | def _get_variables(self):
"""Get the requested variables."""
if self._specs_in[_VARIABLES_STR] == 'all':
return _get_all_objs_of_type(
Var, getattr(self._obj_lib, 'variables', self._obj_lib)
)
else:
return set(self._specs_in[_VARIABLES_STR]) | python | def _get_variables(self):
"""Get the requested variables."""
if self._specs_in[_VARIABLES_STR] == 'all':
return _get_all_objs_of_type(
Var, getattr(self._obj_lib, 'variables', self._obj_lib)
)
else:
return set(self._specs_in[_VARIABLES_STR]) | [
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spencerahill/aospy | aospy/automate.py | CalcSuite._get_aux_specs | def _get_aux_specs(self):
"""Get and pre-process all of the non-core specifications."""
# Drop the "core" specifications, which are handled separately.
specs = self._specs_in.copy()
[specs.pop(core) for core in self._CORE_SPEC_NAMES]
specs[_REGIONS_STR] = self._get_regions()
... | python | def _get_aux_specs(self):
"""Get and pre-process all of the non-core specifications."""
# Drop the "core" specifications, which are handled separately.
specs = self._specs_in.copy()
[specs.pop(core) for core in self._CORE_SPEC_NAMES]
specs[_REGIONS_STR] = self._get_regions()
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spencerahill/aospy | aospy/automate.py | CalcSuite._permute_aux_specs | def _permute_aux_specs(self):
"""Generate all permutations of the non-core specifications."""
# Convert to attr names that Calc is expecting.
calc_aux_mapping = self._NAMES_SUITE_TO_CALC.copy()
# Special case: manually add 'library' to mapping
calc_aux_mapping[_OBJ_LIB_STR] = Non... | python | def _permute_aux_specs(self):
"""Generate all permutations of the non-core specifications."""
# Convert to attr names that Calc is expecting.
calc_aux_mapping = self._NAMES_SUITE_TO_CALC.copy()
# Special case: manually add 'library' to mapping
calc_aux_mapping[_OBJ_LIB_STR] = Non... | [
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spencerahill/aospy | aospy/automate.py | CalcSuite._combine_core_aux_specs | def _combine_core_aux_specs(self):
"""Combine permutations over core and auxilliary Calc specs."""
all_specs = []
for core_dict in self._permute_core_specs():
for aux_dict in self._permute_aux_specs():
all_specs.append(_merge_dicts(core_dict, aux_dict))
return... | python | def _combine_core_aux_specs(self):
"""Combine permutations over core and auxilliary Calc specs."""
all_specs = []
for core_dict in self._permute_core_specs():
for aux_dict in self._permute_aux_specs():
all_specs.append(_merge_dicts(core_dict, aux_dict))
return... | [
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spencerahill/aospy | aospy/automate.py | CalcSuite.create_calcs | def create_calcs(self):
"""Generate a Calc object for each requested parameter combination."""
specs = self._combine_core_aux_specs()
for spec in specs:
spec['dtype_out_time'] = _prune_invalid_time_reductions(spec)
return [Calc(**sp) for sp in specs] | python | def create_calcs(self):
"""Generate a Calc object for each requested parameter combination."""
specs = self._combine_core_aux_specs()
for spec in specs:
spec['dtype_out_time'] = _prune_invalid_time_reductions(spec)
return [Calc(**sp) for sp in specs] | [
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spencerahill/aospy | aospy/utils/io.py | data_in_label | def data_in_label(intvl_in, dtype_in_time, dtype_in_vert=False):
"""Create string label specifying the input data of a calculation."""
intvl_lbl = intvl_in
time_lbl = dtype_in_time
lbl = '_'.join(['from', intvl_lbl, time_lbl]).replace('__', '_')
vert_lbl = dtype_in_vert if dtype_in_vert else False
... | python | def data_in_label(intvl_in, dtype_in_time, dtype_in_vert=False):
"""Create string label specifying the input data of a calculation."""
intvl_lbl = intvl_in
time_lbl = dtype_in_time
lbl = '_'.join(['from', intvl_lbl, time_lbl]).replace('__', '_')
vert_lbl = dtype_in_vert if dtype_in_vert else False
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spencerahill/aospy | aospy/utils/io.py | time_label | def time_label(intvl, return_val=True):
"""Create time interval label for aospy data I/O."""
# Monthly labels are 2 digit integers: '01' for jan, '02' for feb, etc.
if type(intvl) in [list, tuple, np.ndarray] and len(intvl) == 1:
label = '{:02}'.format(intvl[0])
value = np.array(intvl)
e... | python | def time_label(intvl, return_val=True):
"""Create time interval label for aospy data I/O."""
# Monthly labels are 2 digit integers: '01' for jan, '02' for feb, etc.
if type(intvl) in [list, tuple, np.ndarray] and len(intvl) == 1:
label = '{:02}'.format(intvl[0])
value = np.array(intvl)
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spencerahill/aospy | aospy/utils/io.py | data_name_gfdl | def data_name_gfdl(name, domain, data_type, intvl_type, data_yr,
intvl, data_in_start_yr, data_in_dur):
"""Determine the filename of GFDL model data output."""
# Determine starting year of netCDF file to be accessed.
extra_yrs = (data_yr - data_in_start_yr) % data_in_dur
data_in_yr = ... | python | def data_name_gfdl(name, domain, data_type, intvl_type, data_yr,
intvl, data_in_start_yr, data_in_dur):
"""Determine the filename of GFDL model data output."""
# Determine starting year of netCDF file to be accessed.
extra_yrs = (data_yr - data_in_start_yr) % data_in_dur
data_in_yr = ... | [
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spencerahill/aospy | aospy/utils/io.py | dmget | def dmget(files_list):
"""Call GFDL command 'dmget' to access archived files."""
if isinstance(files_list, str):
files_list = [files_list]
archive_files = []
for f in files_list:
if f.startswith('/archive'):
archive_files.append(f)
try:
subprocess.call(['dmget'] ... | python | def dmget(files_list):
"""Call GFDL command 'dmget' to access archived files."""
if isinstance(files_list, str):
files_list = [files_list]
archive_files = []
for f in files_list:
if f.startswith('/archive'):
archive_files.append(f)
try:
subprocess.call(['dmget'] ... | [
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spencerahill/aospy | aospy/calc.py | _replace_pressure | def _replace_pressure(arguments, dtype_in_vert):
"""Replace p and dp Vars with appropriate Var objects specific to
the dtype_in_vert."""
arguments_out = []
for arg in arguments:
if isinstance(arg, Var):
if arg.name == 'p':
arguments_out.append(_P_VARS[dtype_in_vert])
... | python | def _replace_pressure(arguments, dtype_in_vert):
"""Replace p and dp Vars with appropriate Var objects specific to
the dtype_in_vert."""
arguments_out = []
for arg in arguments:
if isinstance(arg, Var):
if arg.name == 'p':
arguments_out.append(_P_VARS[dtype_in_vert])
... | [
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spencerahill/aospy | aospy/calc.py | _add_metadata_as_attrs | def _add_metadata_as_attrs(data, units, description, dtype_out_vert):
"""Add metadata attributes to Dataset or DataArray"""
if isinstance(data, xr.DataArray):
return _add_metadata_as_attrs_da(data, units, description,
dtype_out_vert)
else:
for name, a... | python | def _add_metadata_as_attrs(data, units, description, dtype_out_vert):
"""Add metadata attributes to Dataset or DataArray"""
if isinstance(data, xr.DataArray):
return _add_metadata_as_attrs_da(data, units, description,
dtype_out_vert)
else:
for name, a... | [
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