def __get_deficit_stats_comparison(project, analysis_f, units):
"""
The the deficit stats comparison dataset for a project.
Parameters
==========
analysis_f : f(data, gap_attribute_name, target_attribute_name)
The function that returns the monthly stats dataset for a scenario
"""
datasets = []
names = []
for scenario in project.scenarios.all():
data = scenario.get_data()
attribute_name = scenario.get_gap_attribute_name()
target_name = scenario.get_target_attribute_name()
monthly_values = analysis_f(data, attribute_name, target_name)
monthly_values.index.name = "Month"
monthly_values.name = attribute_name
datasets.append(monthly_values)
names.append(scenario.name + " (%s)" % units)
return analysis.compare_series(datasets, names)
def __get_deficit_stats_comparison(project, analysis_f, units):
"""
The the deficit stats comparison dataset for a project.
Parameters
==========
analysis_f : f(data, gap_attribute_name, target_attribute_name)
The function that returns the monthly stats dataset for a scenario
"""
datasets = []
names = []
for scenario in project.scenarios.all():
data = scenario.get_data()
attribute_name = scenario.get_gap_attribute_name()
target_name = scenario.get_target_attribute_name()
monthly_values = analysis_f(data, attribute_name, target_name)
monthly_values.index.name = "Month"
monthly_values.name = attribute_name
datasets.append(monthly_values)
names.append(scenario.name + " (%s)" % units)
return analysis.compare_series(datasets, names)
def __get_deficit_days_comparison(project, analysis_f, index_name):
"""
Get the temporal deficit comparison for a project.
analysis_f : f(data, gap_attribute_name, target_attribute_name)
The function that returns the annual temporal information.
index_name : string
The name to use for the resulting DataFrame's index.
"""
datasets = []
names = []
for scenario in project.scenarios.all():
#try:
data = scenario.get_data()
attribute_name = scenario.get_gap_attribute_name()
target_attribute_name = scenario.get_target_attribute_name()
data_pct = analysis_f(data, attribute_name, target_attribute_name)
data_pct.index.name = index_name
datasets.append(data_pct)
names.append(scenario.name)
#except:
# pass
return analysis.compare_series(datasets, names)
def __get_deficit_days_comparison(project, analysis_f, index_name):
"""
Get the temporal deficit comparison for a project.
analysis_f : f(data, gap_attribute_name, target_attribute_name)
The function that returns the annual temporal information.
index_name : string
The name to use for the resulting DataFrame's index.
"""
datasets = []
names = []
for scenario in project.scenarios.all():
#try:
data = scenario.get_data()
attribute_name = scenario.get_gap_attribute_name()
target_attribute_name = scenario.get_target_attribute_name()
data_pct = analysis_f(data, attribute_name, target_attribute_name)
data_pct.index.name = index_name
datasets.append(data_pct)
names.append(scenario.name)
#except:
# pass
return analysis.compare_series(datasets, names)
