code stringlengths 3 6.57k |
|---|
test_send_order_to_egf(self) |
load_json('emma_send_order_to_egf.json') |
self.run_job(json_request=json) |
self.assertTrue('order was sent' in response['message']) |
Schedule(object) |
idf (IDF) |
sch_name (str) |
start_day_of_the_week (int) |
week (Monday=0) |
strict (bool) |
base_year (int) |
super(Schedule, self) |
__init__(**kwargs) |
self.get_sdow(start_day_of_the_week) |
self.start_date() |
kwargs.get('Type', None) |
constant_schedule(cls, hourly_value=1, Name='AlwaysOn', **kwargs) |
io.StringIO(idftxt) |
archetypal.IDF(fhandle) |
idf_scratch.add_object(ep_object='Schedule:Constant'.upper() |
Schedule(sch_name=Name, idf=idf_scratch, **kwargs) |
all_values(self) |
max(self) |
max(self.all_values) |
min(self) |
min(self.all_values) |
mean(self) |
np.mean(self.all_values) |
series(self) |
pd.Series(self.all_values, index=index) |
get_schedule_type_limits_name(self, sch_name=None, sch_type=None) |
get_schedule_type_limits_data(self, sch_name=None) |
self.idf.get_schedule_data_by_name(sch_name) |
get_schedule_type(self, sch_name=None) |
self.idf.get_schedule_data_by_name(sch_name) |
start_date(self) |
calendar.Calendar(firstweekday=self.startDayOfTheWeek) |
c.monthdatescalendar(self.year, 1) |
datetime(start_date.year, start_date.month, start_date.day) |
plot(self, slice=None, **kwargs) |
pd.Series(hourlyvalues, index=index, dtype=float) |
len(slice) |
plot(**kwargs, label=self.schName) |
get_interval_day_ep_schedule_values(self, sch_name=None) |
self.idf.getobject('Schedule:Day:Interval'.upper() |
self.get_schedule_type_limits_data(sch_name) |
int((len(values.fieldvalues) |
np.arange(24) |
range(number_of_day_sch) |
float(values['Value_Until_Time_{}'.format(i + 1) |
int(s.strip() |
format(i + 1) |
split(":") |
s.strip() |
isdigit() |
int(until_time[0] + until_time[1] / 60) |
range(start_hour, end_hour) |
numeric_type.strip() |
lower() |
hourly_values.astype(int) |
get_hourly_day_ep_schedule_values(self, sch_name=None) |
self.idf.getobject('Schedule:Day:Hourly'.upper() |
np.array(values.fieldvalues[3:]) |
pd.date_range(start=start_date, periods=168, freq='1H') |
pd.Series([False] * (len(idx) |
pd.Series([False] * (len(index) |
self.idf.getobject('schedule:week:compact'.upper() |
pd.Series([0] * len(slicer_) |
int(len(values.fieldvalues[2:]) |
range(num_of_daily_schedules) |
format(i + 1) |
lower() |
self.field_set(day_type, slicer_) |
format(i + 1) |
days.append(day) |
pd.concat(days) |
pd.Series([True] * len(new.index) |
slicer_.apply(lambda x: x == True) |
weekly_schedules.update(new) |
get_daily_weekly_ep_schedule_values(self, sch_name=None) |
self.idf.getobject('schedule:week:daily'.upper() |
format(day) |
self.get_schedule_values(sch_name=ref.Name, sch_type=ref.key) |
hourly_values.append(h) |
np.array(hourly_values) |
np.roll(hourly_values, -self.startDayOfTheWeek, axis=0) |
hourly_values.ravel() |
get_list_day_ep_schedule_values(self, sch_name=None) |
self.idf.getobject('schedule:day:list'.upper() |
self.get_schedule_type_limits_data(sch_name) |
int(values['Minutes_per_Item']) |
np.arange(int(24 * 60 / freq) |
format(freq) |
pd.Series(all_values, index=index) |
series.resample('1H') |
apply(_how(method) |
get_constant_ep_schedule_values(self, sch_name=None) |
self.idf.getobject('schedule:constant'.upper() |
self.get_schedule_type_limits_data(sch_name) |
np.arange(8760) |
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