def plotter(fdict):
""" Go """
ctx = get_autoplot_context(fdict, get_description())
ctx['qc'] = loadqc(date=ctx['date'])
ctx['pgconn'] = get_dbconn('isuag')
ctx['nt'] = NetworkTable("ISUSM")
# Adjust stations to make some room
ctx['nt'].sts['BOOI4']['lon'] -= 0.15
ctx['nt'].sts['BOOI4']['lat'] -= 0.15
ctx['nt'].sts['AHTI4']['lon'] += 0.25
ctx['nt'].sts['AHTI4']['lat'] += 0.25
title = 'TBD'
subtitle = 'TBD'
if ctx['opt'] == '1':
title = 'ISU Soil Moisture Max/Min 4 Inch Soil Temperature'
subtitle = 'based on available hourly observations'
data, df = plot1(ctx)
elif ctx['opt'] == '2':
title = 'ISU Soil Moisture Max/Min Air Temperature'
subtitle = 'based on available daily summary data'
data, df = plot2(ctx)
elif ctx['opt'] == '3':
title = 'ISU Soil Moisture Average 4 Inch Soil Temperature'
subtitle = 'based on available daily summary data'
data, df = plot3(ctx)
elif ctx['opt'] == '4':
title = 'ISU Soil Moisture Solar Radiation [MJ]'
subtitle = 'based on available daily summary data'
data, df = plot4(ctx)
elif ctx['opt'] == '5':
title = 'ISU Soil Moisture Potential Evapotranspiration [inch]'
subtitle = 'based on available daily summary data'
data, df = plot5(ctx, "dailyet")
elif ctx['opt'] == '6':
title = 'ISU Soil Moisture Precipitation [inch]'
subtitle = (
'based on available daily summary data, liquid equiv of snow '
'estimated'
)
data, df = plot5(ctx, "rain_mm_tot")
elif ctx['opt'] == '7':
title = 'ISU Soil Moisture Peak Wind Gust [MPH]'
subtitle = 'based on available daily summary data'
data, df = plot7(ctx)
elif ctx['opt'] == '8':
title = 'ISU Soil Moisture Average Wind Speed [MPH]'
subtitle = 'based on available daily summary data'
data, df = plot8(ctx)
tle = ctx['date'].strftime("%b %-d, %Y")
mp = MapPlot(
sector='iowa', continentalcolor='white', nocaption=True,
title='%s %s' % (tle, title),
subtitle=subtitle)
mp.drawcounties('#EEEEEE')
mp.plot_station(data, fontsize=12)
return mp.fig, df
def plotter(fdict):
""" Go """
ctx = get_autoplot_context(fdict, get_description())
ctx["qc"] = loadqc(date=ctx["date"])
ctx["pgconn"] = get_dbconn("isuag")
ctx["nt"] = NetworkTable("ISUSM")
if not ctx["nt"].sts:
raise NoDataFound("No station metadata found.")
# Adjust stations to make some room
ctx["nt"].sts["BOOI4"]["lon"] -= 0.15
ctx["nt"].sts["BOOI4"]["lat"] -= 0.15
ctx["nt"].sts["AHTI4"]["lon"] += 0.25
ctx["nt"].sts["AHTI4"]["lat"] += 0.25
title = "TBD"
subtitle = "TBD"
if ctx["opt"] == "1":
title = "ISU Soil Moisture Max/Min 4 Inch Soil Temperature"
subtitle = "based on available hourly observations"
data, df = plot1(ctx)
elif ctx["opt"] == "2":
title = "ISU Soil Moisture Max/Min Air Temperature"
subtitle = "based on available daily summary data"
data, df = plot2(ctx)
elif ctx["opt"] == "3":
title = "ISU Soil Moisture Average 4 Inch Soil Temperature"
subtitle = "based on available daily summary data"
data, df = plot3(ctx)
elif ctx["opt"] == "4":
title = "ISU Soil Moisture Solar Radiation [MJ]"
subtitle = "based on available daily summary data"
data, df = plot4(ctx)
elif ctx["opt"] == "5":
title = "ISU Soil Moisture Potential Evapotranspiration [inch]"
subtitle = "based on available daily summary data"
data, df = plot5(ctx, "dailyet")
elif ctx["opt"] == "6":
title = "ISU Soil Moisture Precipitation [inch]"
subtitle = (
"based on available daily summary data, liquid equiv of snow "
"estimated")
data, df = plot5(ctx, "rain_mm_tot")
elif ctx["opt"] == "7":
title = "ISU Soil Moisture Peak Wind Gust [MPH]"
subtitle = "based on available daily summary data"
data, df = plot7(ctx)
elif ctx["opt"] == "8":
title = "ISU Soil Moisture Average Wind Speed [MPH]"
subtitle = "based on available daily summary data"
data, df = plot8(ctx)
tle = ctx["date"].strftime("%b %-d, %Y")
mp = MapPlot(
sector="iowa",
continentalcolor="white",
nocaption=True,
title="%s %s" % (tle, title),
subtitle=subtitle,
)
mp.drawcounties("#EEEEEE")
mp.plot_station(data, fontsize=12)
return mp.fig, df
