def parse_env():
filename = "rftghgemissions.xls"
path = fileutils.getcache(filename, "uk")
wb = xlrd.open_workbook(path)
sheets = wb.sheets()
tables = HybridTableCreator(config.SCHEMA)
codes = tables.new_sector_codes(prefix="env_ind")
codes.add_curated_codes({
"Manufacture of petrochemicals": "20.1[467]+20.6",
"Manufacture of other basic metals & casting (excl. Nuclear fuel & Aluminium)": "24.4[^26]-5",
"Rest of repair; Installation": "33.1[^56]",
})
for sheet in sheets:
series = sheet.name
years = None
for i in range(sheet.nrows):
row = sheet.row_values(i)
if len(row) < 3 or type(row[2]) is str and not len(row[2]):
continue
if years is None:
if type(row[2]) is float:
years = row
for year in row[2:]:
#envtable.add_env_table("env", year)
tables.add_env_table(year)
else:
code = codes.set_code(row[0], row[1])
if code:
for i in range(2, len(row)):
tables.insert_env(years[i], code, series, row[i])
codes.update_codes()
def parse_env():
filename = "rftghgemissions.xls"
path = fileutils.getcache(filename, "uk")
wb = xlrd.open_workbook(path)
sheets = wb.sheets()
tables = HybridTableCreator(config.SCHEMA)
codes = tables.new_sector_codes(prefix="env_ind")
codes.add_curated_codes({
"Manufacture of petrochemicals":
"20.1[467]+20.6",
"Manufacture of other basic metals & casting (excl. Nuclear fuel & Aluminium)":
"24.4[^26]-5",
"Rest of repair; Installation":
"33.1[^56]",
})
for sheet in sheets:
series = sheet.name
years = None
for i in range(sheet.nrows):
row = sheet.row_values(i)
if len(row) < 3 or type(row[2]) is str and not len(row[2]):
continue
if years is None:
if type(row[2]) is float:
years = row
for year in row[2:]:
#envtable.add_env_table("env", year)
tables.add_env_table(year)
else:
code = codes.set_code(row[0], row[1])
if code:
for i in range(2, len(row)):
tables.insert_env(years[i], code, series, row[i])
codes.update_codes()
def parse_env():
files = {
# 2005 only has 細分類 while
1990: "ei90187p.xls",
1995: "ei95186p.xls",
2000: "ei2000p104v01j.xls",
2005: "ei2005pc403jp_wt_bd.xlsx",
}
def series_names_from_rows(names, units):
# since these tables are structured identically
# we'll just do some hard coding
series_names = []
for i in range(3, len(names)):
if len(names[i]):
name = "%s (%s)" % (names[i], units[i])
else:
name = None
series_names.append(name)
return series_names
tables = HybridTableCreator(config.SCHEMA)
for (year, filename) in files.items():
tables.add_env_table(year, series_max_length=255)
codes = tables.new_sector_codes(year, "env_ind")
codes.curate_code_from_desc("総合計", "total")
codes.blacklist_code("total")
path = fileutils.getcache(filename, "jp", str(year))
if filename.endswith("xls"):
wb = xlrd.open_workbook(path)
# each xls file starts with ToC listing tables A-E.
# E1: 部門別直接エネルギー消費量，エネルギー原単位を掲載
# E2: 部門別直接CO2排出量，CO2排出原単位を掲載
for sheetname in ("E1", "E2"):
sheet = wb.sheet_by_name(sheetname)
min_series_col = 4 # first col whose values interest us
if sheetname == "E1":
min_series_col = 3 # GDP - only want this once
series_names = series_names_from_rows(sheet.row_values(0),
sheet.row_values(1))
for i in range(2, sheet.nrows):
row = sheet.row_values(i)
code = row[1]
if type(code) is float:
code = str(int(code)).rjust(3, "0")
code = codes.set_code(code, row[2])
if code:
for (series, value) in zip(series_names, row[3:]):
if type(value) is float:
tables.insert_env(year, code, series, value)
elif filename.endswith("xlsx"):
wb = openpyxl.load_workbook(filename=path, use_iterators=True)
# E: 部門別直接エネルギー消費量および各種GHG排出量，
# エネルギー原単位およびGHG原単位を掲載
sheet = wb.get_sheet_by_name("E")
rows = sheet.iter_rows()
series_names = series_names_from_rows(
[cell.internal_value for cell in next(rows)],
[cell.internal_value for cell in next(rows)])
for row in rows:
code = codes.set_code(row[1].internal_value,
row[2].internal_value)
if code:
for (series, cell) in zip(series_names, row[3:]):
if cell.internal_value is not None:
tables.insert_env(year, code, series,
cell.internal_value)
codes.update_codes()
def parse_env():
files = {
# 2005 only has 細分類 while
1990: "ei90187p.xls",
1995: "ei95186p.xls",
2000: "ei2000p104v01j.xls",
2005: "ei2005pc403jp_wt_bd.xlsx",
}
def series_names_from_rows(names, units):
# since these tables are structured identically
# we'll just do some hard coding
series_names = []
for i in range(3, len(names)):
if len(names[i]):
name = "%s (%s)" % (names[i], units[i])
else:
name = None
series_names.append(name)
return series_names
tables = HybridTableCreator(config.SCHEMA)
for (year, filename) in files.items():
tables.add_env_table(year, series_max_length=255)
codes = tables.new_sector_codes(year, "env_ind")
codes.curate_code_from_desc("総合計", "total")
codes.blacklist_code("total")
path = fileutils.getcache(filename, "jp", str(year))
if filename.endswith("xls"):
wb = xlrd.open_workbook(path)
# each xls file starts with ToC listing tables A-E.
# E1: 部門別直接エネルギー消費量，エネルギー原単位を掲載
# E2: 部門別直接CO2排出量，CO2排出原単位を掲載
for sheetname in ("E1", "E2"):
sheet = wb.sheet_by_name(sheetname)
min_series_col = 4 # first col whose values interest us
if sheetname == "E1":
min_series_col = 3 # GDP - only want this once
series_names = series_names_from_rows(
sheet.row_values(0),
sheet.row_values(1))
for i in range(2, sheet.nrows):
row = sheet.row_values(i)
code = row[1]
if type(code) is float:
code = str(int(code)).rjust(3, "0")
code = codes.set_code(code, row[2])
if code:
for (series, value) in zip(series_names, row[3:]):
if type(value) is float:
tables.insert_env(year, code, series, value)
elif filename.endswith("xlsx"):
wb = openpyxl.load_workbook(filename=path, use_iterators=True)
# E: 部門別直接エネルギー消費量および各種GHG排出量，
# エネルギー原単位およびGHG原単位を掲載
sheet = wb.get_sheet_by_name("E")
rows = sheet.iter_rows()
series_names = series_names_from_rows(
[cell.internal_value for cell in next(rows)],
[cell.internal_value for cell in next(rows)])
for row in rows:
code = codes.set_code(row[1].internal_value,
row[2].internal_value)
if code:
for (series, cell) in zip(series_names, row[3:]):
if cell.internal_value is not None:
tables.insert_env(year, code, series,
cell.internal_value)
codes.update_codes()
