gp.plotly_location_mode = 'USA-states'
gp.plotly_choropleth_field = 'Val'
gp.plotly_scope = 'usa'
gp.plotly_projection = 'albers usa'
gp.plotly_url = country_group + data_type.replace(' ', '-')
gp.plotly_world_readable = False
gp.title = title
gp.units = 'Value'
# do a map plot by US state
pf.plot_generic_graph(df, type = 'choropleth', adapter = 'cufflinks', gp = gp)
#### uses CommonEconDataFactory to get more common forms of economic data and plot
####
if True:
logger = LoggerManager.getLogger(__name__)
cedf = CommonEconDataFactory()
start_date = '01 Jan 2014'
finish_date = datetime.datetime.utcnow()
# select as appropriate!
# cedf.g10_plot_gdp_cpi_une(start_date, finish_date)
# cedf.usa_plot_une(start_date, finish_date)
# cedf.world_plot_une(start_date, finish_date)
# cedf.world_plot_cpi(start_date, finish_date)
# cedf.europe_plot_une(start_date, finish_date)
# cedf.g10_line_plot_cpi(start_date, finish_date)
cedf.g10_line_plot_une(start_date, finish_date)
gp.plotly_location_mode = 'USA-states'
gp.plotly_choropleth_field = 'Val'
gp.plotly_scope = 'usa'
gp.plotly_projection = 'albers usa'
gp.plotly_url = country_group + data_type.replace(' ', '-')
gp.plotly_world_readable = False
gp.title = title
gp.units = 'Value'
# do a map plot by US state
pf.plot_generic_graph(df, type='choropleth', adapter='cufflinks', gp=gp)
#### uses CommonEconDataFactory to get more common forms of economic data and plot
####
if True:
logger = LoggerManager.getLogger(__name__)
cedf = CommonEconDataFactory()
start_date = '01 Jan 2014'
finish_date = datetime.datetime.utcnow()
# select as appropriate!
# cedf.g10_plot_gdp_cpi_une(start_date, finish_date)
# cedf.usa_plot_une(start_date, finish_date)
# cedf.world_plot_une(start_date, finish_date)
# cedf.world_plot_cpi(start_date, finish_date)
# cedf.europe_plot_une(start_date, finish_date)
# cedf.g10_line_plot_cpi(start_date, finish_date)
cedf.g10_line_plot_une(start_date, finish_date)
