def comparison_plot_renderer(data, variable_options, site_choice, DataResample,
start_date, end_date, medianswitch, title, xtitle,
ytitle, label_format):
if not data:
return ''
data = data.split(',')
# Find min year for site
start_year, end_year = LoadData.get_site_year_range_db(data[1])
df = load_station_data(data[0], data[1],
[start_year, int(data[3])], data[4:])
if not isinstance(df, pd.DataFrame):
return ''
variable_options = data[4:]
from dataplot.DataTools.AnalysisTools import ComparisonPlots
# if comparison_tabs == 'week_comp':
return ComparisonPlots.CompareWeeks(df,
variable_options=variable_options,
site_choice=site_choice,
DataResample=DataResample,
start_date=start_date,
end_date=end_date,
show_median=medianswitch,
title=title,
xtitle=xtitle,
ytitle=ytitle,
label_format=label_format)
def get_site_minimum_year(site):
start_year, end_year = LoadData.get_site_year_range_db(site)
options = [{
'label': i,
'value': i
} for i in range(start_year, end_year + 1)]
return options
def fill_maximum_year(site):
start_year, end_year = LoadData.get_site_year_range_db(site)
return end_year