def project_data(request, project_id):
project = get_object_or_404(Project, pk=project_id)
result = __get_deficit_days_comparison(
project, lambda d, g, t: analysis.monthly_deficit_pct(d, g), "Month")
response = HttpResponse(content_type="application/json")
result.to_json(response, orient='index')
return response
def project_data(request, project_id):
project = get_object_or_404(Project, pk=project_id)
result = __get_deficit_days_comparison(
project,
lambda d, g, t: analysis.monthly_deficit_pct(d, g),
"Month")
response = HttpResponse(content_type="application/json")
result.to_json(response, orient='index')
return response
def project_deficit_days_plot(request, project_id):
project = get_object_or_404(Project, pk=project_id)
data = __get_deficit_days_comparison(
project, lambda d, g, t: analysis.monthly_deficit_pct(d, g), "Month")
plt.style.use(DEFAULT_PLOT_STYLE)
fig, ax = new_figure()
data.plot(kind='bar', ax=ax, table=False)
ax.set_title("Deficit days comparison")
ax.yaxis.set_major_formatter(FuncFormatter(to_percent))
ax.set_ylim([0.0, 1.0])
return plot_to_response(fig)
def project_deficit_days_csv(request, project_id):
project = get_object_or_404(Project, pk=project_id)
monthly_result = __get_deficit_days_comparison(project,
lambda d, g, t: analysis.monthly_deficit_pct(d, g),
"Month")
annual_result = __get_deficit_days_comparison(project,
lambda d, g, t: analysis.annual_deficit_pct(d, g), "Annual Average").mean()
annual_result.name = "Annual Average"
result = pd.concat([monthly_result, annual_result.to_frame().transpose()], axis=0)
result.index.name = "Month"
response = HttpResponse(content_type="text/csv")
result.to_csv(response)
return response
def project_deficit_days_plot(request, project_id):
project = get_object_or_404(Project, pk=project_id)
data = __get_deficit_days_comparison(
project,
lambda d, g, t: analysis.monthly_deficit_pct(d, g),
"Month"
)
plt.style.use(DEFAULT_PLOT_STYLE)
fig, ax = new_figure()
data.plot(kind='bar', ax=ax, table=False)
ax.set_title("Deficit days comparison")
ax.yaxis.set_major_formatter(FuncFormatter(to_percent))
ax.set_ylim([0.0, 1.0])
return plot_to_response(fig)
def project_deficit_days_csv(request, project_id):
project = get_object_or_404(Project, pk=project_id)
monthly_result = __get_deficit_days_comparison(
project, lambda d, g, t: analysis.monthly_deficit_pct(d, g), "Month")
annual_result = __get_deficit_days_comparison(
project, lambda d, g, t: analysis.annual_deficit_pct(d, g),
"Annual Average").mean()
annual_result.name = "Annual Average"
result = pd.concat(
[monthly_result, annual_result.to_frame().transpose()], axis=0)
result.index.name = "Month"
response = HttpResponse(content_type="text/csv")
result.to_csv(response)
return response
def deficit_days_plot_data(scenario):
data = scenario.get_data()
return analysis.monthly_deficit_pct(data, scenario.get_gap_attribute_name())
