Exemplo n.º 1
0
        clauses.append(
            "'' using %d axis x1y2 with linespoints lc rgb 'black' title column(%d)"
            % (column, column))
        return clauses


dirname = "usa-pce-energy"

ff_plot = GNUPlot("total-ff", "Fossil fuels (trillion Btu)", dirname)
elec_plot = GNUPlot("total-elec", "Electricity (trillion Btu)", dirname)
ff_iplot = GNUPlot("total-intensity-ff", "Fossil fuels (Btu per dollar)",
                   dirname)
elec_iplot = GNUPlot("total-intensity-elec", "Electricity (Btu per dollar)",
                     dirname)

ff_plot.style = "histogram"
ff_iplot.style = "histogram"

elec_plot.style = "histogram rowstacked"
elec_iplot.style = "histogram rowstacked"

for year in config.STUDY_YEARS:
    # args: year, is_hybrid, allow_imports, adjust for inflation
    iogen = common.iogen_for_year(year, True, True, True)
    iogen_standard = common.iogen_for_year(year, False, True, True)

    energy_codes = []
    for i in range(len(eia.modified_sources)):
        source = eia.modified_sources[i]
        naics = eia.source_naics_map[source][year]
        energy_codes.append(naics)
Exemplo n.º 2
0
    fd_dollars = {
        "exports": export_n.sum(),
        "pce": Yn.get_pce().sum(),
        "imports": import_n.sum(),
        }

    ###### breakdown by fd sector

    dirname = "usa-pce-energy"
    for (key, vector) in fd_vectors.items():
        fdgroup = bea.fd_sector_names[key]
        ikey = key + "-intensity"

        if key not in plots:
            plots[key] = GNUPlot(key, fdgroup + " (trillion Btu)", dirname)
            plots[key].style = "histogram"

        if ikey not in plots:
            plots[ikey] = GNUPlot(ikey, fdgroup + " (MMBtu per 2005$)", dirname)
            plots[ikey].style = "histogram"

        use_vector = L.matrix_mult(vector)

        for i in range(len(energy_codes)):
            code = energy_codes[i]
            name = eia.name_for_naics(code)
            value = use_vector.get_element(rowname=code) # bBtu
            # divide bBtu by 1000 for tBtu
            plots[key].set_value(year, name, value / 1000)
            # div bBtu by k$ for MMBtu/$
            plots[ikey].set_value(year, name, value / fd_dollars[key])
Exemplo n.º 3
0
            "'' using %d axis x1y2 with linespoints lc rgb 'black' title column(%d)"
            % (column, column))
        return clauses

dirname = "usa-pce-energy"

ff_plot = GNUPlot("total-ff", "Fossil fuels (trillion Btu)", dirname)
elec_plot = GNUPlot("total-elec", "Electricity (trillion Btu)", dirname)
ff_iplot = GNUPlot(
    "total-intensity-ff",
    "Fossil fuels (Btu per dollar)", dirname)
elec_iplot = GNUPlot(
    "total-intensity-elec",
    "Electricity (Btu per dollar)", dirname)

ff_plot.style = "histogram"
ff_iplot.style = "histogram"

elec_plot.style = "histogram rowstacked"
elec_iplot.style = "histogram rowstacked"

for year in config.STUDY_YEARS:
    # args: year, is_hybrid, allow_imports, adjust for inflation
    iogen = common.iogen_for_year(year, True, True, True)
    iogen_standard = common.iogen_for_year(year, False, True, True)

    energy_codes = []
    for i in range(len(eia.modified_sources)):
        source = eia.modified_sources[i]
        naics = eia.source_naics_map[source][year]
        energy_codes.append(naics)