def graph_table(filename, title, vector, base_year, intensity_divisor,
sector_groups):
plot = GNUPlot(filename, title, "usa")
data = {}
sortby = {}
numerators = {}
denominators = {}
for key in sector_groups.keys():
data[key] = {}
denominators[key] = dict((year, 0) for year in config.STUDY_YEARS)
numerators[key] = dict((year, 0) for year in config.STUDY_YEARS)
max_year = max(config.STUDY_YEARS)
for sector in vector.keys():
print(sector)
numerator = vector[sector]
for (key, sectors) in sector_groups.items():
if sector in sectors:
for year in config.STUDY_YEARS:
if intensity_divisor is not None:
denominators[key][year] += \
intensity_divisor[sector][year]
else:
denominators[key][year] += 1
numerators[key][year] += numerator[year]
break
for key in sector_groups.keys():
print(key, denominators[key])
data[key] = dict(
(year, numerators[key][year] / denominators[key][year])
for year in config.STUDY_YEARS)
sortby[data[key][max_year] / data[key][base_year]] = key
sorted_groups = [
sortby[key] for key in sorted(sortby.keys(), reverse=True)
]
plot.add_custom_setup("set style data linespoints")
plot.add_custom_setup("unset colorbox")
plot.add_custom_setup("set grid")
min_x = 5 * math.floor(min(config.STUDY_YEARS) / 5)
max_x = 5 * math.ceil(max(config.STUDY_YEARS) / 5) + 5 # room for labels
plot.add_custom_setup("set xrange [ %d : %d ]" % (min_x, max_x))
interval = 1 / (len(sorted_groups) - 1)
for i in range(len(sorted_groups)):
plot.add_custom_setup("set style lines %d lc palette frac %.2f lw 2" %
(i + 1, i * interval))
series_values = []
def name_for_group(group):
if group in bea.short_nipa:
group_name = bea.short_nipa[group]
else:
group_name = group
return group_name
for i in range(len(sorted_groups)):
group = sorted_groups[i]
group_name = name_for_group(group)
series_values.append(group_name)
plot.suppress_title(group_name)
base_value = data[group][base_year]
for year in config.STUDY_YEARS:
plot.set_value(group_name, year,
data[group][year] / base_value * 100)
plot.set_series_style(group_name, "linestyle %d" % (i + 1))
plot.series_values = series_values
plot.write_tables()
plot.get_axis_specs() # make sure max_y is adjusted
prev_pos = None
for i in range(len(sorted_groups)):
group = sorted_groups[i]
group_name = name_for_group(group)
ending_value = data[group][max_year] / data[group][base_year] * 100
position = ending_value / plot.max_y + 0.01 # line up baseline
# space labels out by at least 0.04 so they don't overlap
if prev_pos is not None and prev_pos - position < 0.03:
position = prev_pos - 0.03
plot.add_custom_setup(
"set label %d '%s' at graph 0.81, %.2f font 'Arial,8'" %
(i + 1, group_name, position))
prev_pos = position
plot.generate_plot()
def graph_table(filename, title, vector,
base_year, is_intensities, collapse=[]):
plot = GNUPlot(filename, title, "usa")
data = {}
sortby = {}
other_category = "Other"
max_year = max(config.STUDY_YEARS)
other_category_numer = dict((year, 0) for year in config.STUDY_YEARS)
other_category_denom = dict((year, 0) for year in config.STUDY_YEARS)
for group in vector.keys():
numerator = vector[group]
if is_intensities:
denominator = pce_dollars[group]
else:
denominator = dict((year, 1) for year in config.STUDY_YEARS)
base_value = numerator[base_year] / denominator[base_year]
if group in collapse:
for year in config.STUDY_YEARS:
other_category_numer[year] += numerator[year]
# adding 1 for each year is fine since it's relative to the base
other_category_denom[year] += denominator[year]
else:
data[group] = {}
for year in config.STUDY_YEARS:
data[group][year] = numerator[year] / denominator[year]
sortby[ data[group][max_year] / data[group][base_year] ] = group
if len(other_category_numer):
data[other_category] = dict(
(year, other_category_numer[year] / other_category_denom[year]) \
for year in config.STUDY_YEARS)
sortby[ data[other_category][max_year] /\
data[other_category][base_year] ] = other_category
sorted_groups = [sortby[key] for key in sorted(sortby.keys(), reverse=True)]
plot.add_custom_setup("set style data linespoints")
plot.add_custom_setup("unset colorbox")
plot.add_custom_setup("set grid")
min_x = 5 * math.floor(min(config.STUDY_YEARS) / 5)
max_x = 5 * math.ceil(max(config.STUDY_YEARS) / 5) + 5 # room for labels
plot.add_custom_setup("set xrange [ %d : %d ]" % (min_x, max_x))
interval = 1 / (len(sorted_groups) - 1)
for i in range(len(sorted_groups)):
plot.add_custom_setup("set style lines %d lc palette frac %.2f lw 2"
% (i + 1, i * interval))
series_values = []
for i in range(len(sorted_groups)):
group = sorted_groups[i]
if group in bea.short_nipa:
group_name = bea.short_nipa[group]
else:
group_name = group
series_values.append(group_name)
plot.suppress_title(group_name)
base_value = data[group][base_year]
for year in config.STUDY_YEARS:
print(group, year, data[group][year], base_value, data[group][year] / base_value)
plot.set_value(group_name, year,
data[group][year] / base_value * 100)
plot.set_series_style(group_name, "linestyle %d" % (i + 1))
plot.series_values = series_values
plot.write_tables()
plot.get_axis_specs() # make sure max_y is adjusted
prev_pos = None
for i in range(len(sorted_groups)):
group = sorted_groups[i]
if group in bea.short_nipa:
group_name = bea.short_nipa[group]
else:
group_name = group
ending_value = data[group][max_year] / data[group][base_year] * 100
position = ending_value / plot.max_y + 0.01 # line up baseline
# space labels out by at least 0.04 so they don't overlap
if prev_pos is not None and prev_pos - position < 0.03:
position = prev_pos - 0.03
plot.add_custom_setup(
"set label %d '%s' at graph 0.81, %.2f font 'Arial,8'"
% (i + 1, group_name, position))
prev_pos = position
plot.generate_plot()
def graph_table(filename, title, vector,
base_year, intensity_divisor, sector_groups):
plot = GNUPlot(filename, title, "usa")
data = {}
sortby = {}
numerators = {}
denominators = {}
for key in sector_groups.keys():
data[key] = {}
denominators[key] = dict((year, 0) for year in config.STUDY_YEARS)
numerators[key] = dict((year, 0) for year in config.STUDY_YEARS)
max_year = max(config.STUDY_YEARS)
for sector in vector.keys():
print(sector)
numerator = vector[sector]
for (key, sectors) in sector_groups.items():
if sector in sectors:
for year in config.STUDY_YEARS:
if intensity_divisor is not None:
denominators[key][year] += \
intensity_divisor[sector][year]
else:
denominators[key][year] += 1
numerators[key][year] += numerator[year]
break
for key in sector_groups.keys():
print(key, denominators[key])
data[key] = dict(
(year, numerators[key][year] / denominators[key][year])
for year in config.STUDY_YEARS)
sortby[ data[key][max_year] / data[key][base_year] ] = key
sorted_groups = [sortby[key] for key in sorted(sortby.keys(), reverse=True)]
plot.add_custom_setup("set style data linespoints")
plot.add_custom_setup("unset colorbox")
plot.add_custom_setup("set grid")
min_x = 5 * math.floor(min(config.STUDY_YEARS) / 5)
max_x = 5 * math.ceil(max(config.STUDY_YEARS) / 5) + 5 # room for labels
plot.add_custom_setup("set xrange [ %d : %d ]" % (min_x, max_x))
interval = 1 / (len(sorted_groups) - 1)
for i in range(len(sorted_groups)):
plot.add_custom_setup("set style lines %d lc palette frac %.2f lw 2"
% (i + 1, i * interval))
series_values = []
def name_for_group(group):
if group in bea.short_nipa:
group_name = bea.short_nipa[group]
else:
group_name = group
return group_name
for i in range(len(sorted_groups)):
group = sorted_groups[i]
group_name = name_for_group(group)
series_values.append(group_name)
plot.suppress_title(group_name)
base_value = data[group][base_year]
for year in config.STUDY_YEARS:
plot.set_value(group_name, year,
data[group][year] / base_value * 100)
plot.set_series_style(group_name, "linestyle %d" % (i + 1))
plot.series_values = series_values
plot.write_tables()
plot.get_axis_specs() # make sure max_y is adjusted
prev_pos = None
for i in range(len(sorted_groups)):
group = sorted_groups[i]
group_name = name_for_group(group)
ending_value = data[group][max_year] / data[group][base_year] * 100
position = ending_value / plot.max_y + 0.01 # line up baseline
# space labels out by at least 0.04 so they don't overlap
if prev_pos is not None and prev_pos - position < 0.03:
position = prev_pos - 0.03
plot.add_custom_setup(
"set label %d '%s' at graph 0.81, %.2f font 'Arial,8'"
% (i + 1, group_name, position))
prev_pos = position
plot.generate_plot()