def plotter(fdict):
""" Go """
ctx = get_autoplot_context(fdict, get_description())
get_df(ctx)
labels = {}
data = {}
for state, row in ctx['df'].iterrows():
val = row['departure']
data[state] = val
if pd.isna(val):
if pd.isna(row['avg']):
subscript = 'M'
else:
subscript = "[-%.0f]" % (row['avg'], )
data[state] = 0 - row['avg']
else:
subscript = "[%s%.0f]" % ("+" if val > 0 else "", val)
subscript = "[0]" if subscript in ['[-0]', '[+0]'] else subscript
labels[state] = "%s\n%s" % ('M' if pd.isna(row['thisval'])
else int(row['thisval']), subscript)
mp = MapPlot(
sector='conus', title=ctx['title'], subtitle=ctx['subtitle']
)
levels = range(-40, 41, 10)
cmap = plt.get_cmap(ctx['cmap'])
cmap.set_bad('white')
mp.fill_states(data, ilabel=True, labels=labels, bins=levels,
cmap=cmap, units='Absolute %',
labelfontsize=16)
return mp.fig, ctx['df']
def plotter(fdict):
""" Go """
ctx = get_autoplot_context(fdict, get_description())
get_df(ctx)
labels = {}
data = {}
for state, row in ctx["df"].iterrows():
val = row["departure"]
data[state] = val
if pd.isna(val):
if pd.isna(row["avg"]):
subscript = "M"
else:
subscript = "[-%.0f]" % (row["avg"], )
data[state] = 0 - row["avg"]
else:
subscript = "[%s%.0f]" % ("+" if val > 0 else "", val)
subscript = "[0]" if subscript in ["[-0]", "[+0]"] else subscript
labels[state] = "%s\n%s" % (
"M" if pd.isna(row["thisval"]) else int(row["thisval"]),
subscript,
)
mp = MapPlot(sector="conus", title=ctx["title"], subtitle=ctx["subtitle"])
levels = range(-40, 41, 10)
cmap = plt.get_cmap(ctx["cmap"])
cmap.set_bad("white")
mp.fill_states(
data,
ilabel=True,
labels=labels,
bins=levels,
cmap=cmap,
units="Absolute %",
labelfontsize=16,
)
return mp.fig, ctx["df"]
def main():
"""Go Main Go"""
data = get_data()
mp = MapPlot(sector='midwest',
title='8 July 2018 USDA NASS Corn Progress Percent Silking',
subtitle=('Top value is 2018 percentage, bottom value is '
'departure from 2008-2017 avg'))
data2 = {}
labels = {}
for state in data:
val = data[state]['d2017'] - data[state]['avg']
data2[state] = val
labels[state.encode('utf-8')] = "%i%%\n%s%.1f%%" % (data[state]['d2017'],
"+" if val > 0 else "", val)
print(labels)
levels = range(-40, 41, 10)
mp.fill_states(data2, ilabel=True, labels=labels, bins=levels,
cmap=plt.get_cmap('RdBu_r'), units='Absolute %',
labelfontsize=16)
mp.postprocess(filename='test.png')
mp.close()
