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pwwang/liquidpy | liquid/__init__.py | Liquid.split | def split (s, delimter, trim = True, limit = 0): # pragma: no cover
"""
Split a string using a single-character delimter
@params:
`s`: the string
`delimter`: the single-character delimter
`trim`: whether to trim each part. Default: True
@examples:
```python
ret = split("'a,b',c", ",")
# ret ==... | python | def split (s, delimter, trim = True, limit = 0): # pragma: no cover
"""
Split a string using a single-character delimter
@params:
`s`: the string
`delimter`: the single-character delimter
`trim`: whether to trim each part. Default: True
@examples:
```python
ret = split("'a,b',c", ",")
# ret ==... | [
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pwwang/liquidpy | liquid/__init__.py | Liquid.render | def render(self, **context):
"""
Render this template by applying it to `context`.
@params:
`context`: a dictionary of values to use in this rendering.
@returns:
The rendered string
"""
# Make the complete context we'll use.
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localns.update(context)
try:
exec(str(se... | python | def render(self, **context):
"""
Render this template by applying it to `context`.
@params:
`context`: a dictionary of values to use in this rendering.
@returns:
The rendered string
"""
# Make the complete context we'll use.
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pwwang/liquidpy | liquid/builder.py | LiquidCode.addLine | def addLine(self, line):
"""
Add a line of source to the code.
Indentation and newline will be added for you, don't provide them.
@params:
`line`: The line to add
"""
if not isinstance(line, LiquidLine):
line = LiquidLine(line)
line.ndent = self.ndent
self.codes.append(line) | python | def addLine(self, line):
"""
Add a line of source to the code.
Indentation and newline will be added for you, don't provide them.
@params:
`line`: The line to add
"""
if not isinstance(line, LiquidLine):
line = LiquidLine(line)
line.ndent = self.ndent
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ManufacturaInd/python-zenlog | zenlog/__init__.py | Log.level | def level(self, lvl=None):
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if not lvl:
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self._lvl = self._parse_level(lvl)
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logging.root.setLevel(self._lvl) | python | def level(self, lvl=None):
'''Get or set the logging level.'''
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return self._lvl
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self.stream.setLevel(self._lvl)
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mirumee/django-prices-openexchangerates | django_prices_openexchangerates/__init__.py | get_rate_from_db | def get_rate_from_db(currency: str) -> Decimal:
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Fetch currency conversion rate from the database
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Fetch currency conversion rate from the database
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mirumee/django-prices-openexchangerates | django_prices_openexchangerates/__init__.py | get_conversion_rate | def get_conversion_rate(from_currency: str, to_currency: str) -> Decimal:
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Get conversion rate to use in exchange
"""
reverse_rate = False
if to_currency == BASE_CURRENCY:
# Fetch exchange rate for base currency and use 1 / rate for conversion
rate_currency = from_currency
... | python | def get_conversion_rate(from_currency: str, to_currency: str) -> Decimal:
"""
Get conversion rate to use in exchange
"""
reverse_rate = False
if to_currency == BASE_CURRENCY:
# Fetch exchange rate for base currency and use 1 / rate for conversion
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mirumee/django-prices-openexchangerates | django_prices_openexchangerates/__init__.py | exchange_currency | def exchange_currency(
base: T, to_currency: str, *, conversion_rate: Decimal=None) -> T:
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Exchanges Money, TaxedMoney and their ranges to the specified currency.
get_rate parameter is a callable taking single argument (target currency)
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mdredze/carmen-python | carmen/resolvers/profile.py | normalize | def normalize(location_name, preserve_commas=False):
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kristianfoerster/melodist | melodist/stationstatistics.py | StationStatistics.calc_precipitation_stats | def calc_precipitation_stats(self, months=None, avg_stats=True, percentile=50):
"""
Calculates precipitation statistics for the cascade model while aggregating hourly observations
Parameters
----------
months : Months for each seasons to be used for statistics (array of n... | python | def calc_precipitation_stats(self, months=None, avg_stats=True, percentile=50):
"""
Calculates precipitation statistics for the cascade model while aggregating hourly observations
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----------
months : Months for each seasons to be used for statistics (array of n... | [
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kristianfoerster/melodist | melodist/stationstatistics.py | StationStatistics.calc_wind_stats | def calc_wind_stats(self):
"""
Calculates statistics in order to derive diurnal patterns of wind speed
"""
a, b, t_shift = melodist.fit_cosine_function(self.data.wind)
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"""
Calculates statistics in order to derive diurnal patterns of wind speed
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kristianfoerster/melodist | melodist/stationstatistics.py | StationStatistics.calc_humidity_stats | def calc_humidity_stats(self):
"""
Calculates statistics in order to derive diurnal patterns of relative humidity.
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"""
Calculates statistics in order to derive diurnal patterns of relative humidity.
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a1, a0 = melodist.calculate_dewpoint_regression(self.data, return_stats=False)
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kristianfoerster/melodist | melodist/stationstatistics.py | StationStatistics.calc_temperature_stats | def calc_temperature_stats(self):
"""
Calculates statistics in order to derive diurnal patterns of temperature
"""
self.temp.max_delta = melodist.get_shift_by_data(self.data.temp, self._lon, self._lat, self._timezone)
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Calculates statistics in order to derive diurnal patterns of temperature
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kristianfoerster/melodist | melodist/stationstatistics.py | StationStatistics.calc_radiation_stats | def calc_radiation_stats(self, data_daily=None, day_length=None, how='all'):
"""
Calculates statistics in order to derive solar radiation from sunshine duration or
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Parameters
----------
data_daily : DataFrame, optional
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"""
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kristianfoerster/melodist | melodist/stationstatistics.py | StationStatistics.to_json | def to_json(self, filename=None):
"""
Exports statistical data to a JSON formatted file
Parameters
----------
filename: output file that holds statistics data
"""
def json_encoder(obj):
if isinstance(obj, pd.DataFrame) or isinstance(obj, pd.Series)... | python | def to_json(self, filename=None):
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Exports statistical data to a JSON formatted file
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filename: output file that holds statistics data
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kristianfoerster/melodist | melodist/stationstatistics.py | StationStatistics.from_json | def from_json(cls, filename):
"""
Imports statistical data from a JSON formatted file
Parameters
----------
filename: input file that holds statistics data
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Imports statistical data from a JSON formatted file
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filename: input file that holds statistics data
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kristianfoerster/melodist | melodist/radiation.py | disaggregate_radiation | def disaggregate_radiation(data_daily,
sun_times=None,
pot_rad=None,
method='pot_rad',
angstr_a=0.25,
angstr_b=0.5,
bristcamp_a=0.75,
... | python | def disaggregate_radiation(data_daily,
sun_times=None,
pot_rad=None,
method='pot_rad',
angstr_a=0.25,
angstr_b=0.5,
bristcamp_a=0.75,
... | [
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kristianfoerster/melodist | melodist/radiation.py | potential_radiation | def potential_radiation(dates, lon, lat, timezone, terrain_slope=0, terrain_slope_azimuth=0,
cloud_fraction=0, split=False):
"""
Calculate potential shortwave radiation for a specific location and time.
This routine calculates global radiation as described in:
Liston, G. E... | python | def potential_radiation(dates, lon, lat, timezone, terrain_slope=0, terrain_slope_azimuth=0,
cloud_fraction=0, split=False):
"""
Calculate potential shortwave radiation for a specific location and time.
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kristianfoerster/melodist | melodist/radiation.py | bristow_campbell | def bristow_campbell(tmin, tmax, pot_rad_daily, A, C):
"""calculates potential shortwave radiation based on minimum and maximum temperature
This routine calculates global radiation as described in:
Bristow, Keith L., and Gaylon S. Campbell: On the relationship between
incoming solar radiation and ... | python | def bristow_campbell(tmin, tmax, pot_rad_daily, A, C):
"""calculates potential shortwave radiation based on minimum and maximum temperature
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kristianfoerster/melodist | melodist/radiation.py | fit_bristow_campbell_params | def fit_bristow_campbell_params(tmin, tmax, pot_rad_daily, obs_rad_daily):
"""
Fit the A and C parameters for the Bristow & Campbell (1984) model using observed daily
minimum and maximum temperature and mean daily (e.g. aggregated from hourly values) solar
radiation.
Parameters
---------... | python | def fit_bristow_campbell_params(tmin, tmax, pot_rad_daily, obs_rad_daily):
"""
Fit the A and C parameters for the Bristow & Campbell (1984) model using observed daily
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kristianfoerster/melodist | melodist/radiation.py | angstroem | def angstroem(ssd, day_length, pot_rad_daily, a, b):
"""
Calculate mean daily radiation from observed sunshine duration according to Angstroem (1924).
Parameters
----------
ssd : Series
Observed daily sunshine duration.
day_length : Series
Day lengths as calculated by... | python | def angstroem(ssd, day_length, pot_rad_daily, a, b):
"""
Calculate mean daily radiation from observed sunshine duration according to Angstroem (1924).
Parameters
----------
ssd : Series
Observed daily sunshine duration.
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Day lengths as calculated by ``calc_sun_times``.
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kristianfoerster/melodist | melodist/radiation.py | fit_angstroem_params | def fit_angstroem_params(ssd, day_length, pot_rad_daily, obs_rad_daily):
"""
Fit the a and b parameters for the Angstroem (1924) model using observed daily
sunshine duration and mean daily (e.g. aggregated from hourly values) solar
radiation.
Parameters
----------
ssd : Series
... | python | def fit_angstroem_params(ssd, day_length, pot_rad_daily, obs_rad_daily):
"""
Fit the a and b parameters for the Angstroem (1924) model using observed daily
sunshine duration and mean daily (e.g. aggregated from hourly values) solar
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Parameters
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ssd : Series
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mdredze/carmen-python | carmen/resolver.py | register | def register(name):
"""Return a decorator that registers the decorated class as a
resolver with the given *name*."""
def decorator(class_):
if name in known_resolvers:
raise ValueError('duplicate resolver name "%s"' % name)
known_resolvers[name] = class_
return decorator | python | def register(name):
"""Return a decorator that registers the decorated class as a
resolver with the given *name*."""
def decorator(class_):
if name in known_resolvers:
raise ValueError('duplicate resolver name "%s"' % name)
known_resolvers[name] = class_
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mdredze/carmen-python | carmen/resolver.py | get_resolver | def get_resolver(order=None, options=None, modules=None):
"""Return a location resolver. The *order* argument, if given,
should be a list of resolver names; results from resolvers named
earlier in the list are preferred over later ones. For a list of
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"""Return a location resolver. The *order* argument, if given,
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mdredze/carmen-python | carmen/resolver.py | AbstractResolver.load_locations | def load_locations(self, location_file=None):
"""Load locations into this resolver from the given
*location_file*, which should contain one JSON object per line
representing a location. If *location_file* is not specified,
an internal location database is used."""
if location_fi... | python | def load_locations(self, location_file=None):
"""Load locations into this resolver from the given
*location_file*, which should contain one JSON object per line
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mdredze/carmen-python | carmen/location.py | Location.canonical | def canonical(self):
"""Return a tuple containing a canonicalized version of this
location's country, state, county, and city names."""
try:
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except:
return tuple([x.lower() for x in self.name()]) | python | def canonical(self):
"""Return a tuple containing a canonicalized version of this
location's country, state, county, and city names."""
try:
return tuple(map(lambda x: x.lower(), self.name()))
except:
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mdredze/carmen-python | carmen/location.py | Location.name | def name(self):
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mdredze/carmen-python | carmen/location.py | Location.parent | def parent(self):
"""Return a location representing the administrative unit above
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if self.city:
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"""Return a location representing the administrative unit above
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if self.city:
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kristianfoerster/melodist | melodist/humidity.py | disaggregate_humidity | def disaggregate_humidity(data_daily, method='equal', temp=None,
a0=None, a1=None, kr=None,
month_hour_precip_mean=None, preserve_daily_mean=False):
"""general function for humidity disaggregation
Args:
daily_data: daily values
method: keyword... | python | def disaggregate_humidity(data_daily, method='equal', temp=None,
a0=None, a1=None, kr=None,
month_hour_precip_mean=None, preserve_daily_mean=False):
"""general function for humidity disaggregation
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daily_data: daily values
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kristianfoerster/melodist | melodist/wind.py | _cosine_function | def _cosine_function(x, a, b, t_shift):
"""genrates a diurnal course of windspeed accroding to the cosine function
Args:
x: series of euqally distributed windspeed values
a: parameter a for the cosine function
b: parameter b for the cosine function
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"""genrates a diurnal course of windspeed accroding to the cosine function
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x: series of euqally distributed windspeed values
a: parameter a for the cosine function
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kristianfoerster/melodist | melodist/wind.py | disaggregate_wind | def disaggregate_wind(wind_daily, method='equal', a=None, b=None, t_shift=None):
"""general function for windspeed disaggregation
Args:
wind_daily: daily values
method: keyword specifying the disaggregation method to be used
a: parameter a for the cosine function
b: parameter b ... | python | def disaggregate_wind(wind_daily, method='equal', a=None, b=None, t_shift=None):
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wind_daily: daily values
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kristianfoerster/melodist | melodist/wind.py | fit_cosine_function | def fit_cosine_function(wind):
"""fits a cosine function to observed hourly windspeed data
Args:
wind: observed hourly windspeed data
Returns:
parameters needed to generate diurnal features of windspeed using a cosine function
"""
wind_daily = wind.groupby(wind.index.date).... | python | def fit_cosine_function(wind):
"""fits a cosine function to observed hourly windspeed data
Args:
wind: observed hourly windspeed data
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parameters needed to generate diurnal features of windspeed using a cosine function
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kristianfoerster/melodist | melodist/data_io.py | read_smet | def read_smet(filename, mode):
"""Reads smet data and returns the data in required dataformat (pd df)
See https://models.slf.ch/docserver/meteoio/SMET_specifications.pdf
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kristianfoerster/melodist | melodist/data_io.py | read_dwd | def read_dwd(filename, metadata, mode="d", skip_last=True):
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Parameters
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kristianfoerster/melodist | melodist/data_io.py | write_smet | def write_smet(filename, data, metadata, nodata_value=-999, mode='h', check_nan=True):
"""writes smet files
Parameters
----
filename : filename/loction of output
data : data to write as pandas df
metadata: header to write input as dict
nodata_value: Nodata Value to write/use
... | python | def write_smet(filename, data, metadata, nodata_value=-999, mode='h', check_nan=True):
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kristianfoerster/melodist | melodist/data_io.py | read_single_knmi_file | def read_single_knmi_file(filename):
"""reads a single file of KNMI's meteorological time series
data availability: www.knmi.nl/nederland-nu/klimatologie/uurgegevens
Args:
filename: the file to be opened
Returns:
pandas data frame including time series
"""
hourly_data_obs_raw ... | python | def read_single_knmi_file(filename):
"""reads a single file of KNMI's meteorological time series
data availability: www.knmi.nl/nederland-nu/klimatologie/uurgegevens
Args:
filename: the file to be opened
Returns:
pandas data frame including time series
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kristianfoerster/melodist | melodist/data_io.py | read_knmi_dataset | def read_knmi_dataset(directory):
"""Reads files from a directory and merges the time series
Please note: For each station, a separate directory must be provided!
data availability: www.knmi.nl/nederland-nu/klimatologie/uurgegevens
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directory: directory including the files
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... | python | def read_knmi_dataset(directory):
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Please note: For each station, a separate directory must be provided!
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directory: directory including the files
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kristianfoerster/melodist | melodist/station.py | Station.calc_sun_times | def calc_sun_times(self):
"""
Computes the times of sunrise, solar noon, and sunset for each day.
"""
self.sun_times = melodist.util.get_sun_times(self.data_daily.index, self.lon, self.lat, self.timezone) | python | def calc_sun_times(self):
"""
Computes the times of sunrise, solar noon, and sunset for each day.
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kristianfoerster/melodist | melodist/station.py | Station.disaggregate_wind | def disaggregate_wind(self, method='equal'):
"""
Disaggregate wind speed.
Parameters
----------
method : str, optional
Disaggregation method.
``equal``
Mean daily wind speed is duplicated for the 24 hours of the day. (Default)
... | python | def disaggregate_wind(self, method='equal'):
"""
Disaggregate wind speed.
Parameters
----------
method : str, optional
Disaggregation method.
``equal``
Mean daily wind speed is duplicated for the 24 hours of the day. (Default)
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kristianfoerster/melodist | melodist/station.py | Station.disaggregate_humidity | def disaggregate_humidity(self, method='equal', preserve_daily_mean=False):
"""
Disaggregate relative humidity.
Parameters
----------
method : str, optional
Disaggregation method.
``equal``
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Disaggregate relative humidity.
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method : str, optional
Disaggregation method.
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kristianfoerster/melodist | melodist/station.py | Station.disaggregate_temperature | def disaggregate_temperature(self, method='sine_min_max', min_max_time='fix', mod_nighttime=False):
"""
Disaggregate air temperature.
Parameters
----------
method : str, optional
Disaggregation method.
``sine_min_max``
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Disaggregate air temperature.
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method : str, optional
Disaggregation method.
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kristianfoerster/melodist | melodist/station.py | Station.disaggregate_precipitation | def disaggregate_precipitation(self, method='equal', zerodiv='uniform', shift=0, master_precip=None):
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Disaggregate precipitation.
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----------
method : str, optional
Disaggregation method.
``equal``
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Disaggregate precipitation.
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method : str, optional
Disaggregation method.
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kristianfoerster/melodist | melodist/station.py | Station.disaggregate_radiation | def disaggregate_radiation(self, method='pot_rad', pot_rad=None):
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Disaggregate solar radiation.
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----------
method : str, optional
Disaggregation method.
``pot_rad``
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Disaggregate solar radiation.
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method : str, optional
Disaggregation method.
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kristianfoerster/melodist | melodist/station.py | Station.interpolate | def interpolate(self, column_hours, method='linear', limit=24, limit_direction='both', **kwargs):
"""
Wrapper function for ``pandas.Series.interpolate`` that can be used to
"disaggregate" values using various interpolation methods.
Parameters
----------
column_hours : di... | python | def interpolate(self, column_hours, method='linear', limit=24, limit_direction='both', **kwargs):
"""
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boydgreenfield/query | query/core.py | QueryDbOrm._query_helper | def _query_helper(self, by=None):
"""
Internal helper for preparing queries.
"""
if by is None:
primary_keys = self.table.primary_key.columns.keys()
if len(primary_keys) > 1:
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... | python | def _query_helper(self, by=None):
"""
Internal helper for preparing queries.
"""
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boydgreenfield/query | query/core.py | QueryDbOrm.head | def head(self, n=10, by=None, **kwargs):
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Get the first n entries for a given Table/Column. Additional keywords
passed to QueryDb.query().
Requires that the given table has a primary key specified.
"""
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select = ("SELECT... | python | def head(self, n=10, by=None, **kwargs):
"""
Get the first n entries for a given Table/Column. Additional keywords
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Requires that the given table has a primary key specified.
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boydgreenfield/query | query/core.py | QueryDb.query | def query(self, sql_query, return_as="dataframe"):
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Execute a raw SQL query against the the SQL DB.
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sql_query (str): A raw SQL query to execute.
Kwargs:
return_as (str): Specify what type of object should be
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"""
Execute a raw SQL query against the the SQL DB.
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sql_query (str): A raw SQL query to execute.
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boydgreenfield/query | query/core.py | QueryDb._set_metadata | def _set_metadata(self):
"""
Internal helper to set metadata attributes.
"""
meta = QueryDbMeta()
with self._engine.connect() as conn:
meta.bind = conn
meta.reflect()
self._meta = meta
# Set an inspect attribute, whose subattributes
... | python | def _set_metadata(self):
"""
Internal helper to set metadata attributes.
"""
meta = QueryDbMeta()
with self._engine.connect() as conn:
meta.bind = conn
meta.reflect()
self._meta = meta
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boydgreenfield/query | query/core.py | QueryDb._to_df | def _to_df(self, query, conn, index_col=None, coerce_float=True, params=None,
parse_dates=None, columns=None):
"""
Internal convert-to-DataFrame convenience wrapper.
"""
return pd.io.sql.read_sql(str(query), conn, index_col=index_col,
coer... | python | def _to_df(self, query, conn, index_col=None, coerce_float=True, params=None,
parse_dates=None, columns=None):
"""
Internal convert-to-DataFrame convenience wrapper.
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return pd.io.sql.read_sql(str(query), conn, index_col=index_col,
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kristianfoerster/melodist | melodist/temperature.py | disaggregate_temperature | def disaggregate_temperature(data_daily,
method='sine_min_max',
min_max_time='fix',
mod_nighttime=False,
max_delta=None,
mean_course=None,
sun_tim... | python | def disaggregate_temperature(data_daily,
method='sine_min_max',
min_max_time='fix',
mod_nighttime=False,
max_delta=None,
mean_course=None,
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kristianfoerster/melodist | melodist/temperature.py | get_shift_by_data | def get_shift_by_data(temp_hourly, lon, lat, time_zone):
'''function to get max temp shift (monthly) by hourly data
Parameters
----
hourly_data_obs : observed hourly data
lat : latitude in DezDeg
lon : longitude in DezDeg
time_zone: timezone
'''
d... | python | def get_shift_by_data(temp_hourly, lon, lat, time_zone):
'''function to get max temp shift (monthly) by hourly data
Parameters
----
hourly_data_obs : observed hourly data
lat : latitude in DezDeg
lon : longitude in DezDeg
time_zone: timezone
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kristianfoerster/melodist | melodist/util/util.py | distribute_equally | def distribute_equally(daily_data, divide=False):
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Args:
daily_data: daily values
divide: if True, divide resulting values by the number of hours in
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daily_data: daily values
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kristianfoerster/melodist | melodist/util/util.py | vapor_pressure | def vapor_pressure(temp, hum):
"""
Calculates vapor pressure from temperature and humidity after Sonntag (1990).
Args:
temp: temperature values
hum: humidity value(s). Can be scalar (e.g. for calculating saturation vapor pressure).
Returns:
Vapor pressure in hPa.
"""
i... | python | def vapor_pressure(temp, hum):
"""
Calculates vapor pressure from temperature and humidity after Sonntag (1990).
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temp: temperature values
hum: humidity value(s). Can be scalar (e.g. for calculating saturation vapor pressure).
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kristianfoerster/melodist | melodist/util/util.py | dewpoint_temperature | def dewpoint_temperature(temp, hum):
"""computes the dewpoint temperature
Parameters
----
temp : temperature [K]
hum : relative humidity
Returns
dewpoint temperature in K
"""
assert(temp.shape == hum.shape)
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"""computes the dewpoint temperature
Parameters
----
temp : temperature [K]
hum : relative humidity
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dewpoint temperature in K
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kristianfoerster/melodist | melodist/util/util.py | linregress | def linregress(x, y, return_stats=False):
"""linear regression calculation
Parameters
----
x : independent variable (series)
y : dependent variable (series)
return_stats : returns statistical values as well if required (bool)
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kristianfoerster/melodist | melodist/util/util.py | get_sun_times | def get_sun_times(dates, lon, lat, time_zone):
"""Computes the times of sunrise, solar noon, and sunset for each day.
Parameters
----
dates: datetime
lat : latitude in DecDeg
lon : longitude in DecDeg
time_zone : timezone
Returns
----
DataFrame: [sunrise,... | python | def get_sun_times(dates, lon, lat, time_zone):
"""Computes the times of sunrise, solar noon, and sunset for each day.
Parameters
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dates: datetime
lat : latitude in DecDeg
lon : longitude in DecDeg
time_zone : timezone
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DataFrame: [sunrise,... | [
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kristianfoerster/melodist | melodist/util/util.py | detect_gaps | def detect_gaps(dataframe, timestep, print_all=False, print_max=5, verbose=True):
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de... | python | def detect_gaps(dataframe, timestep, print_all=False, print_max=5, verbose=True):
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kristianfoerster/melodist | melodist/util/util.py | drop_incomplete_days | def drop_incomplete_days(dataframe, shift=0):
"""truncates a given dataframe to full days only
This funtion truncates a given pandas dataframe (time series) to full days
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kristianfoerster/melodist | melodist/util/util.py | daily_from_hourly | def daily_from_hourly(df):
"""Aggregates data (hourly to daily values) according to the characteristics
of each variable (e.g., average for temperature, sum for precipitation)
Args:
df: dataframe including time series with one hour time steps
Returns:
dataframe (daily)
"""
df_... | python | def daily_from_hourly(df):
"""Aggregates data (hourly to daily values) according to the characteristics
of each variable (e.g., average for temperature, sum for precipitation)
Args:
df: dataframe including time series with one hour time steps
Returns:
dataframe (daily)
"""
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kristianfoerster/melodist | melodist/precipitation.py | disagg_prec | def disagg_prec(dailyData,
method='equal',
cascade_options=None,
hourly_data_obs=None,
zerodiv="uniform",
shift=0):
"""The disaggregation function for precipitation.
Parameters
----------
dailyData : pd.Series
daily... | python | def disagg_prec(dailyData,
method='equal',
cascade_options=None,
hourly_data_obs=None,
zerodiv="uniform",
shift=0):
"""The disaggregation function for precipitation.
Parameters
----------
dailyData : pd.Series
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kristianfoerster/melodist | melodist/precipitation.py | disagg_prec_cascade | def disagg_prec_cascade(precip_daily,
cascade_options, hourly=True,level=9,
shift=0,
test=False):
"""Precipitation disaggregation with cascade model (Olsson, 1998)
Parameters
----------
precip_daily : pd.Series
daily data
... | python | def disagg_prec_cascade(precip_daily,
cascade_options, hourly=True,level=9,
shift=0,
test=False):
"""Precipitation disaggregation with cascade model (Olsson, 1998)
Parameters
----------
precip_daily : pd.Series
daily data
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kristianfoerster/melodist | melodist/precipitation.py | precip_master_station | def precip_master_station(precip_daily,
master_precip_hourly,
zerodiv):
"""Disaggregate precipitation based on the patterns of a master station
Parameters
-----------
precip_daily : pd.Series
daily data
master_precip_hourly : pd.Series
... | python | def precip_master_station(precip_daily,
master_precip_hourly,
zerodiv):
"""Disaggregate precipitation based on the patterns of a master station
Parameters
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precip_daily : pd.Series
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kristianfoerster/melodist | melodist/precipitation.py | aggregate_precipitation | def aggregate_precipitation(vec_data,hourly=True, percentile=50):
"""Aggregates highly resolved precipitation data and creates statistics
Parameters
----------
vec_data : pd.Series
hourly (hourly=True) OR 5-min values
Returns
-------
output : cascade object
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"""Aggregates highly resolved precipitation data and creates statistics
Parameters
----------
vec_data : pd.Series
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kristianfoerster/melodist | melodist/precipitation.py | seasonal_subset | def seasonal_subset(dataframe,
months='all'):
'''Get the seasonal data.
Parameters
----------
dataframe : pd.DataFrame
months: int, str
Months to use for statistics, or 'all' for 1-12 (default='all')
'''
if isinstance(months, str) and months == 'all':
mo... | python | def seasonal_subset(dataframe,
months='all'):
'''Get the seasonal data.
Parameters
----------
dataframe : pd.DataFrame
months: int, str
Months to use for statistics, or 'all' for 1-12 (default='all')
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kristianfoerster/melodist | melodist/precipitation.py | build_casc | def build_casc(ObsData, hourly=True,level=9,
months=None,
avg_stats=True,
percentile=50):
'''Builds the cascade statistics of observed data for disaggregation
Parameters
-----------
ObsData : pd.Series
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months=None,
avg_stats=True,
percentile=50):
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kristianfoerster/melodist | melodist/cascade.py | CascadeStatistics.fill_with_sample_data | def fill_with_sample_data(self):
"""This function fills the corresponding object with sample data."""
# replace these sample data with another dataset later
# this function is deprecated as soon as a common file format for this
# type of data will be available
self.p01 = np.array... | python | def fill_with_sample_data(self):
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# replace these sample data with another dataset later
# this function is deprecated as soon as a common file format for this
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gaqzi/django-emoji | emoji/models.py | Emoji.names | def names(cls):
"""A list of all emoji names without file extension."""
if not cls._files:
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"""A list of all emoji names without file extension."""
if not cls._files:
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if(not f.startswith('.') and
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gaqzi/django-emoji | emoji/models.py | Emoji.replace | def replace(cls, replacement_string):
"""Add in valid emojis in a string where a valid emoji is between ::"""
e = cls()
def _replace_emoji(match):
val = match.group(1)
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r... | python | def replace(cls, replacement_string):
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e = cls()
def _replace_emoji(match):
val = match.group(1)
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gaqzi/django-emoji | emoji/models.py | Emoji.replace_unicode | def replace_unicode(cls, replacement_string):
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gaqzi/django-emoji | emoji/models.py | Emoji.replace_html_entities | def replace_html_entities(cls, replacement_string):
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gaqzi/django-emoji | bin/generate-unicode-aliases.py | _convert_to_unicode | def _convert_to_unicode(string):
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acsone/bobtemplates.odoo | bobtemplates/odoo/hooks.py | _delete_file | def _delete_file(configurator, path):
""" remove file and remove it's directories if empty """
path = os.path.join(configurator.target_directory, path)
os.remove(path)
try:
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""" remove file and remove it's directories if empty """
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acsone/bobtemplates.odoo | bobtemplates/odoo/hooks.py | _insert_manifest_item | def _insert_manifest_item(configurator, key, item):
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nyaruka/smartmin | setup.py | _read_requirements | def _read_requirements(filename):
"""Parses a file for pip installation requirements."""
with open(filename) as requirements_file:
contents = requirements_file.read()
return [line.strip() for line in contents.splitlines() if _is_requirement(line)] | python | def _read_requirements(filename):
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nyaruka/smartmin | smartmin/perms.py | assign_perm | def assign_perm(perm, group):
"""
Assigns a permission to a group
"""
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app_label, codename = perm.split('.', 1)
except ValueError:
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Assigns a permission to a group
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"""
Removes a permission from a group
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try:
app_label, codename = perm.split('.', 1)
except ValueError:
raise ValueError("For global permissions, first argument must be in"
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Removes a permission from a group
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nyaruka/smartmin | smartmin/templatetags/smartmin.py | get_list_class | def get_list_class(context, list):
"""
Returns the class to use for the passed in list. We just build something up
from the object type for the list.
"""
return "list_%s_%s" % (list.model._meta.app_label, list.model._meta.model_name) | python | def get_list_class(context, list):
"""
Returns the class to use for the passed in list. We just build something up
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nyaruka/smartmin | smartmin/templatetags/smartmin.py | format_datetime | def format_datetime(time):
"""
Formats a date, converting the time to the user timezone if one is specified
"""
user_time_zone = timezone.get_current_timezone()
if time.tzinfo is None:
time = time.replace(tzinfo=pytz.utc)
user_time_zone = pytz.timezone(getattr(settings, 'USER_TIME_ZO... | python | def format_datetime(time):
"""
Formats a date, converting the time to the user timezone if one is specified
"""
user_time_zone = timezone.get_current_timezone()
if time.tzinfo is None:
time = time.replace(tzinfo=pytz.utc)
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nyaruka/smartmin | smartmin/templatetags/smartmin.py | get_value_from_view | def get_value_from_view(context, field):
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Responsible for deriving the displayed value for the passed in 'field'.
This first checks for a particular method on the ListView, then looks for a method
on the object, then finally treats it as an attribute.
"""
view = context['view']
obj = Non... | python | def get_value_from_view(context, field):
"""
Responsible for deriving the displayed value for the passed in 'field'.
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"""
Looks up the class for this field
"""
view = context['view']
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Looks up the class for this field
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view = context['view']
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nyaruka/smartmin | smartmin/templatetags/smartmin.py | get_field_link | def get_field_link(context, field, obj=None):
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nyaruka/smartmin | smartmin/management/__init__.py | get_permissions_app_name | def get_permissions_app_name():
"""
Gets the app after which smartmin permissions should be installed. This can be specified by PERMISSIONS_APP in the
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"""
global permissions_app_name
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nyaruka/smartmin | smartmin/management/__init__.py | check_role_permissions | def check_role_permissions(role, permissions, current_permissions):
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nyaruka/smartmin | smartmin/management/__init__.py | check_all_group_permissions | def check_all_group_permissions(sender, **kwargs):
"""
Checks that all the permissions specified in our settings.py are set for our groups.
"""
if not is_permissions_app(sender):
return
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# for each of our items
for name, permis... | python | def check_all_group_permissions(sender, **kwargs):
"""
Checks that all the permissions specified in our settings.py are set for our groups.
"""
if not is_permissions_app(sender):
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nyaruka/smartmin | smartmin/management/__init__.py | add_permission | def add_permission(content_type, permission):
"""
Adds the passed in permission to that content type. Note that the permission passed
in should be a single word, or verb. The proper 'codename' will be generated from that.
"""
# build our permission slug
codename = "%s_%s" % (content_type.model... | python | def add_permission(content_type, permission):
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nyaruka/smartmin | smartmin/users/views.py | UserForm.save | def save(self, commit=True):
"""
Overloaded so we can save any new password that is included.
"""
is_new_user = self.instance.pk is None
user = super(UserForm, self).save(commit)
# new users should be made active by default
if is_new_user:
user.is_ac... | python | def save(self, commit=True):
"""
Overloaded so we can save any new password that is included.
"""
is_new_user = self.instance.pk is None
user = super(UserForm, self).save(commit)
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nyaruka/smartmin | smartmin/views.py | smart_url | def smart_url(url, obj=None):
"""
URLs that start with @ are reversed, using the passed in arguments.
Otherwise a straight % substitution is applied.
"""
if url.find("@") >= 0:
(args, value) = url.split('@')
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val = getattr(obj, args, None)
return rev... | python | def smart_url(url, obj=None):
"""
URLs that start with @ are reversed, using the passed in arguments.
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if url.find("@") >= 0:
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nyaruka/smartmin | smartmin/views.py | derive_single_object_url_pattern | def derive_single_object_url_pattern(slug_url_kwarg, path, action):
"""
Utility function called by class methods for single object views
"""
if slug_url_kwarg:
return r'^%s/%s/(?P<%s>[^/]+)/$' % (path, action, slug_url_kwarg)
else:
return r'^%s/%s/(?P<pk>\d+)/$' % (path, action) | python | def derive_single_object_url_pattern(slug_url_kwarg, path, action):
"""
Utility function called by class methods for single object views
"""
if slug_url_kwarg:
return r'^%s/%s/(?P<%s>[^/]+)/$' % (path, action, slug_url_kwarg)
else:
return r'^%s/%s/(?P<pk>\d+)/$' % (path, action) | [
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nyaruka/smartmin | smartmin/views.py | SmartView.has_permission | def has_permission(self, request, *args, **kwargs):
"""
Figures out if the current user has permissions for this view.
"""
self.kwargs = kwargs
self.args = args
self.request = request
if not getattr(self, 'permission', None):
return True
else:... | python | def has_permission(self, request, *args, **kwargs):
"""
Figures out if the current user has permissions for this view.
"""
self.kwargs = kwargs
self.args = args
self.request = request
if not getattr(self, 'permission', None):
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nyaruka/smartmin | smartmin/views.py | SmartView.dispatch | def dispatch(self, request, *args, **kwargs):
"""
Overloaded to check permissions if appropriate
"""
def wrapper(request, *args, **kwargs):
if not self.has_permission(request, *args, **kwargs):
path = urlquote(request.get_full_path())
login_url... | python | def dispatch(self, request, *args, **kwargs):
"""
Overloaded to check permissions if appropriate
"""
def wrapper(request, *args, **kwargs):
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nyaruka/smartmin | smartmin/views.py | SmartView.lookup_obj_attribute | def lookup_obj_attribute(self, obj, field):
"""
Looks for a field's value from the passed in obj. Note that this will strip
leading attributes to deal with subelements if possible
"""
curr_field = field.encode('ascii', 'ignore').decode("utf-8")
rest = None
if fi... | python | def lookup_obj_attribute(self, obj, field):
"""
Looks for a field's value from the passed in obj. Note that this will strip
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"""
curr_field = field.encode('ascii', 'ignore').decode("utf-8")
rest = None
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nyaruka/smartmin | smartmin/views.py | SmartView.lookup_field_value | def lookup_field_value(self, context, obj, field):
"""
Looks up the field value for the passed in object and field name.
Note that this method is actually called from a template, but this provides a hook
for subclasses to modify behavior if they wish to do so.
This may be used ... | python | def lookup_field_value(self, context, obj, field):
"""
Looks up the field value for the passed in object and field name.
Note that this method is actually called from a template, but this provides a hook
for subclasses to modify behavior if they wish to do so.
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nyaruka/smartmin | smartmin/views.py | SmartView.lookup_field_label | def lookup_field_label(self, context, field, default=None):
"""
Figures out what the field label should be for the passed in field name.
Our heuristic is as follows:
1) we check to see if our field_config has a label specified
2) if not, then we derive a field value from... | python | def lookup_field_label(self, context, field, default=None):
"""
Figures out what the field label should be for the passed in field name.
Our heuristic is as follows:
1) we check to see if our field_config has a label specified
2) if not, then we derive a field value from... | [
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nyaruka/smartmin | smartmin/views.py | SmartView.lookup_field_help | def lookup_field_help(self, field, default=None):
"""
Looks up the help text for the passed in field.
"""
help = None
# is there a label specified for this field
if field in self.field_config and 'help' in self.field_config[field]:
help = self.field_config[fi... | python | def lookup_field_help(self, field, default=None):
"""
Looks up the help text for the passed in field.
"""
help = None
# is there a label specified for this field
if field in self.field_config and 'help' in self.field_config[field]:
help = self.field_config[fi... | [
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nyaruka/smartmin | smartmin/views.py | SmartView.lookup_field_class | def lookup_field_class(self, field, obj=None, default=None):
"""
Looks up any additional class we should include when rendering this field
"""
css = ""
# is there a class specified for this field
if field in self.field_config and 'class' in self.field_config[field]:
... | python | def lookup_field_class(self, field, obj=None, default=None):
"""
Looks up any additional class we should include when rendering this field
"""
css = ""
# is there a class specified for this field
if field in self.field_config and 'class' in self.field_config[field]:
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nyaruka/smartmin | smartmin/views.py | SmartView.get_template_names | def get_template_names(self):
"""
Returns the name of the template to use to render this request.
Smartmin provides default templates as fallbacks, so appends it's own templates names to the end
of whatever list is built by the generic views.
Subclasses can override this by set... | python | def get_template_names(self):
"""
Returns the name of the template to use to render this request.
Smartmin provides default templates as fallbacks, so appends it's own templates names to the end
of whatever list is built by the generic views.
Subclasses can override this by set... | [
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nyaruka/smartmin | smartmin/views.py | SmartView.derive_fields | def derive_fields(self):
"""
Default implementation
"""
fields = []
if self.fields:
fields.append(self.fields)
return fields | python | def derive_fields(self):
"""
Default implementation
"""
fields = []
if self.fields:
fields.append(self.fields)
return fields | [
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