def get_context_data(self, **kwargs):
# Call the base implementation first to get a context
context = super(Plot, self).get_context_data(**kwargs)
context['plot'] = DisplayData.GetSkillsFromJobRegion(
"data analyst", "Boston, MA")
print(context['plot'])
return context
def get_context_data(self, **kwargs):
# Call the base implementation first to get a context
context = super(PlotGlassDoor, self).get_context_data(**kwargs)
context['plot'] = DisplayData.GlassdoorPlot1(kwargs['genstat'])
return context
def get_context_data(self, **kwargs):
# Call the base implementation first to get a context
context = super(IndeedPlot, self).get_context_data(**kwargs)
context['plot'] = DisplayData.GetSkillsFromJobRegionDateCount(
kwargs['job'], kwargs['city'])
return context
def get_context_data(self, **kwargs):
# Call the base implementation first to get a context
context = super(IndeedComparePlot, self).get_context_data(**kwargs)
context['plot'] = DisplayData.CompareJobsPlot(kwargs['job1'],
kwargs['job2'])
return context
for row in reader:
if(first):
first = False
else:
if(row[0] == "40"):
states[row[1]] = row[6]
if(row[0] == "50"):
state = states[row[1]]
state_code = row[1]
county_code = row[2]
county = row[6][:row[6].rfind(' ')]
Geography.objects.get_or_create(Country = country,
CountryCode = country_code,
Area = state,
AreaCode = state_code,
SubArea = county,
SubAreaCode = county_code)
if __name__ == "__main__":
#populateMany()
#populateCity()
#populateGeography()
#printShapeFile()
#runPopulate("data analyst", "Suffolk County, MA")
DisplayData.GetSkillsFromJobRegionDateCount("data scientist", "Boston, Massachusetts")