本文整理匯總了Python中opus_core.datasets.dataset.DatasetSubset._id_names方法的典型用法代碼示例。如果您正苦於以下問題：Python DatasetSubset._id_names方法的具體用法？Python DatasetSubset._id_names怎麽用？Python DatasetSubset._id_names使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類opus_core.datasets.dataset.DatasetSubset的用法示例。
在下文中一共展示了DatasetSubset._id_names方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: run
# 需要導入模塊: from opus_core.datasets.dataset import DatasetSubset [as 別名]
# 或者: from opus_core.datasets.dataset.DatasetSubset import _id_names [as 別名]
def run(self, current_year_emme2_dir, current_year, dataset_pool, config=None):
"""Writes to the an emme2 input file in the [current_year_emme2_dir]/tripgen/inputtg/tazdata.ma2.
"""
missing_dataset = ''
try:
missing_dataset = 'constant_taz_column'
taz_col_set = dataset_pool.get_dataset("constant_taz_column")
taz_col_set.load_dataset()
missing_dataset = 'zone'
zone_set = dataset_pool.get_dataset("zone")
zone_set.load_dataset()
missing_dataset = 'household'
household_set = dataset_pool.get_dataset("household")
except:
raise Exception("Dataset %s is missing from dataset_pool" % missing_dataset)
"""specify travel input file name: [current_year_emme2_dir]/tripgen/inputtg/tazdata.ma2 """
full_path = os.path.join(current_year_emme2_dir, 'tripgen', 'inputtg')
if not os.path.exists(full_path):
os.makedirs(full_path)
tm_input_file = os.path.join(full_path, 'tazdata.ma2')
tm_year = self._decade_floor(current_year)
logger.log_status("calculating entries for emme2 input file")
taz_col_set.compute_variables("zone_id=constant_taz_column.taz")
current_taz_col = DatasetSubset(taz_col_set, index=where(taz_col_set.get_attribute("year")==tm_year)[0])
current_taz_col._id_names = ['taz']
current_taz_col._create_id_mapping()
zone_set.join(current_taz_col, "pctmf", join_attribute='zone_id')
zone_set.join(current_taz_col, "gqi", join_attribute='zone_id')
zone_set.join(current_taz_col, "gqn", join_attribute='zone_id')
zone_set.join(current_taz_col, "fteuniv", join_attribute='zone_id')
zone_set.join(current_taz_col, "den", new_name='density', join_attribute='zone_id')
value_122 = zeros(zone_set.size())
index_122 = zone_set.try_get_id_index(array([58,59,60,71,72,73,84,85,86,150,251,266,489,578,687,688,797,868]))
value_122[index_122[index_122 != -1]] = 1
zone_set.add_attribute(data=value_122, name="v122")
value_123 = zeros(zone_set.size())
index_123 = zone_set.try_get_id_index(array([531,646,847,850,888,894,899,910]))
value_123[index_123[index_123 != -1]] = 1
zone_set.add_attribute(data=value_123, name="v123")
value_124 = logical_not(value_122 + value_123)
zone_set.add_attribute(data=value_124, name="v124")
"""specify which variables are passing from urbansim to travel model; the order matters"""
variables_list = self.get_variables_list(dataset_pool)
zone_set.compute_variables(variables_list, dataset_pool=dataset_pool )
return self._write_to_file(zone_set, variables_list, tm_input_file)示例2: _write_input_file_1
# 需要導入模塊: from opus_core.datasets.dataset import DatasetSubset [as 別名]
# 或者: from opus_core.datasets.dataset.DatasetSubset import _id_names [as 別名]
def _write_input_file_1(self, current_year_emme2_dir, input_dir, current_year, dataset_pool, config=None):
missing_dataset = ''
try:
missing_dataset = 'group_quarter'
taz_col_set = dataset_pool.get_dataset("group_quarter")
taz_col_set.load_dataset()
missing_dataset = 'zone'
zone_set = dataset_pool.get_dataset("zone")
zone_set.load_dataset()
missing_dataset = 'household'
household_set = dataset_pool.get_dataset("household")
except:
raise Exception("Dataset %s is missing from dataset_pool" % missing_dataset)
"""specify travel input file name """
if not os.path.exists(input_dir):
os.makedirs(input_dir)
tm_input_file = os.path.join(input_dir, 'tazdata.in')
tm_year = self._get_tm_year(current_year, taz_col_set)
logger.log_status("calculating entries for emme%s input file" % self.emme_version)
taz_col_set.compute_variables("zone_id=group_quarter.taz")
current_taz_col = DatasetSubset(taz_col_set, index=where(taz_col_set.get_attribute("year")==tm_year)[0])
current_taz_col._id_names = ['taz']
current_taz_col._create_id_mapping()
zone_set.join(current_taz_col, "gqdorm", join_attribute='zone_id')
zone_set.join(current_taz_col, "gqmil", join_attribute='zone_id')
zone_set.join(current_taz_col, "gqoth", join_attribute='zone_id')
zone_set.join(current_taz_col, "fteuniv", join_attribute='zone_id')
"""specify which variables are passing from urbansim to travel model; the order matters"""
variables_list = self.get_variables_list(dataset_pool)
zone_set.compute_variables(variables_list, dataset_pool=dataset_pool )
return self._write_to_file(zone_set, variables_list, tm_input_file, tm_year)