def correlation(self):
# Caption #
caption = "Correlation of loss values in" \
" 22 countries and 2 data sources."
# Import #
from forest_puller.viz.correlation import all_graphs
# Initialize #
result = ""
# Loop every country batch #
for graph in all_graphs[:-1]: result += str(BareFigure(graph=graph)) + '\n\n'
# The last one can have the caption #
result += str(ScaledFigure(graph = all_graphs[-1],
caption = caption,
label = 'correlation'))
# Return #
return result
def genus_comp(self):
# Caption #
caption = "Comparison of genus composition in the growing stock at" \
" 4 different time points in 27 countries."
# Import #
from forest_puller.viz.genus_barstack import all_graphs, genus_legend
# Initialize #
result = ""
# Loop every country batch #
for graph in all_graphs: result += str(BareFigure(graph=graph)) + '\n\n'
# Add the legend #
result += str(ScaledFigure(graph = genus_legend,
caption = caption,
label = 'genus_comp'))
# Return #
return result
def comp_total_area(self):
# Caption #
caption = "Comparison of total forest area reported in" \
" 27 countries and 5 data sources."
# Import #
from forest_puller.viz.area_comp import all_graphs, legend
# Initialize #
result = ""
# Loop every country batch #
for graph in all_graphs: result += str(BareFigure(graph=graph)) + '\n\n'
# Add the legend #
result += str(ScaledFigure(graph = legend,
caption = caption,
label = 'comp_total_area',
width = '9em'))
# Return #
return result
def waste_gen_by_country(self):
# Import #
from waste_flow.viz.gen_by_country import countries, legend
# Caption #
caption = "Legend for waste generation"
# Initialize #
result = ""
# Add the legend #
result += str(ScaledFigure(graph = legend,
caption = caption,
label = 'wastes_legend',
width = '18em'))
# Loop every country batch #
for viz in countries.values():
result += '\n--\n**%s**\n--\n\n' % viz.country.long_name
for graph in viz.all_graphs:
result += str(BareFigure(graph=graph)) + '\n\n'
# Return #
return result
def comp_increments(self):
# Caption #
caption = "Comparison of gains, losses, and totals reported" \
" in 27 countries and 5 data sources."
# Import #
from forest_puller.viz.increments import countries, legend
# Initialize #
result = ""
# Loop every country #
for iso2_code in country_codes['iso2_code']:
graph = countries[iso2_code]
result += str(BareFigure(graph=graph)) + '\n\n'
# Add the legend #
result += str(ScaledFigure(graph = legend,
caption = caption,
label = 'comp_increments',
width = '9em'))
# Return #
return result
def comp_conv_to_tons(self):
# Caption #
caption = "Comparison of gains, losses, and totals converted to tons of" \
" carbon reported in 27 countries and 5 data sources."
# Import #
from forest_puller.viz.converted_to_tons import countries, legend, all_codes
# Initialize #
result = ""
# Loop every country #
for iso2_code in all_codes:
graph = countries[iso2_code]
result += str(BareFigure(graph=graph)) + '\n\n'
# Add the legend #
result += str(ScaledFigure(graph = legend,
caption = caption,
label = 'comp_conv_to_tons',
width = '9em'))
# Return #
return result
def waste_gen_by_sector(self):
# Import #
from waste_flow.viz.gen_by_sector import sectors, legend
from waste_flow.common import nace_names
# Caption #
caption = "Legend for waste generation"
# Initialize #
result = ""
# Add the legend #
result += str(ScaledFigure(graph = legend,
caption = caption,
label = 'wastes_legend',
width = '20em'))
# Loop every country batch #
for viz in sectors.values():
row = nace_names.query('nace == @viz.sector')
text = row.iloc[0]['full_name']
if len(text) > 60: text = text[:60] + ' [...]'
result += '\n--\n**%s**\n--\n\n' % text
for graph in viz.all_graphs:
result += str(BareFigure(graph=graph)) + '\n\n'
# Return #
return result
# Built-in modules #
# Third party modules #
# Internal modules #
from forest_puller import cache_dir
# First party modules #
from pymarktex.figures import LatexFigure, BareFigure
###############################################################################
# Monkey patch #
LatexFigure.abs_path = lambda s: '../' + s.path.rel_path_from(cache_dir)
###############################################################################
# Import #
from forest_puller.viz.manuscript.area_comparison import all_graphs, legend
# Initialize #
result = ""
# Loop every country #
for g in all_graphs:
result += str(BareFigure(graph=g, width='\\textwidth'))
# Print #
print(result)
# Add the legend #
#print(BareFigure(graph=legend))