def data_function(self, crop_mix, data, groups):
if not groups:
raise Http404("Crop groups are required.")
revenue = data.get_derived_table("Revenue", groups)
cpi_data = econ.models.ConsumerPriceIndexData.as_dataframe()
revenue_adjusted = waterkit.econ.analysis.adjust_cpi(
revenue,
get_bls_key(),
crop_mix.cpi_adjustment_year,
cpi_data
)
self.ylabel = str(crop_mix.cpi_adjustment_year) + " $"
return revenue_adjusted
def _plot_crop_mix(self, crop_mix):
crop_mix, data, years, commodities = read_crop_mix(crop_mix.id)
groups = [g.as_cropgroup() for g in crop_mix.cropmixgroup_set.all()]
if groups:
revenue_table = data.get_derived_table("Revenue", groups)
revenue_table_cpi = econ_analysis.adjust_cpi(
revenue_table, get_bls_key(), crop_mix.cpi_adjustment_year,
ConsumerPriceIndexData.as_dataframe())
niwr_table = data.get_derived_table("NIWR", groups)
labor_table = data.get_derived_table("Labor", groups)
revenue_af_plot = econ.plots.plot_revenue_af_table(
revenue_table_cpi, niwr_table)
labor_plot = econ.plots.plot_labor_table(labor_table)
return self.EconPlots(crop_mix.name, revenue_af_plot, labor_plot)
else:
# Just do the best we can with what we have and return only the
# acreages.
acre_plot = econ.plots.plot_acres(data, groups)
acre_fraction_plot = econ.plots.plot_acre_fractions(data, groups)
return self.EconPlots(crop_mix.name, acre_plot, acre_fraction_plot)
def _plot_crop_mix(self, crop_mix):
crop_mix, data, years, commodities = read_crop_mix(crop_mix.id)
groups = [g.as_cropgroup() for g in crop_mix.cropmixgroup_set.all()]
if groups:
revenue_table = data.get_derived_table("Revenue", groups)
revenue_table_cpi = econ_analysis.adjust_cpi(
revenue_table,
get_bls_key(),
crop_mix.cpi_adjustment_year,
ConsumerPriceIndexData.as_dataframe()
)
niwr_table = data.get_derived_table("NIWR", groups)
labor_table = data.get_derived_table("Labor", groups)
revenue_af_plot = econ.plots.plot_revenue_af_table(revenue_table_cpi, niwr_table)
labor_plot = econ.plots.plot_labor_table(labor_table)
return self.EconPlots(crop_mix.name, revenue_af_plot, labor_plot)
else:
# Just do the best we can with what we have and return only the
# acreages.
acre_plot = econ.plots.plot_acres(data, groups)
acre_fraction_plot = econ.plots.plot_acre_fractions(data, groups)
return self.EconPlots(crop_mix.name, acre_plot, acre_fraction_plot)