def parse_io():
# choose 中分類 for all io tables.
# 中分類 for 1990 and 1995 don't break down the electronic
# sectors as far as i would like, so use 小分類
files = {
1990: "l00_21.xls",
1995: "l00_21.xls",
2000: "io00a301.xls",
2005: "io05a301.xls",
}
tables = HybridTableCreator(config.SCHEMA)
for (year, filename) in files.items():
# 1995 and 2000 io tables: easiest
tables.add_io_table(year)
codes = tables.new_sector_codes(year)
# for 1995 use the heisei 2-7-12 file since it has more
# harmonized sectors than the standalone 1995 file
if year == 1995:
sheetindex = 2
else:
# the first page of the heisei 2-7-12 file (used for 1990)
# happens to be 1990 at nominal prices, matching the others
sheetindex = 0
path = fileutils.getcache(filename, "jp", str(year))
wb = xlrd.open_workbook(path)
sheet = wb.sheet_by_index(sheetindex)
ind_names = None
ind_codes = None
for i in range(sheet.nrows):
row = sheet.row_values(i)
if ind_codes is None:
for cell in row:
if cell == 1:
ind_codes = [str(c).strip().rjust(3, "0") for c in row]
break
if cell.strip() == "001":
ind_codes = row
break
elif ind_names is None:
ind_names = row
temp_codes = [None, None]
for i in range(2, len(row)):
temp_codes.append(codes.set_code(ind_codes[i], row[i]))
ind_codes = temp_codes
else:
from_code = row[0]
if type(from_code) is float:
from_code = str(int(from_code)).rjust(3, "0")
from_code = codes.set_code(from_code, row[1])
if from_code:
for i in range(2, len(row)):
to_code = ind_codes[i]
value = row[i]
tables.insert_io(year, from_code, to_code, value)
codes.update_codes()
def parse_io():
files = {
2005: fileutils.getdatapath("2005年42部门投入产出流量表.xls", "cn-io"),
2007: fileutils.getdatapath(
"0101.xls", "cn-io", "中国投入产出表2007", "excel"),
}
tables = HybridTableCreator(config.SCHEMA)
for (year, filename) in files.items():
tables.add_io_table(year)
codes = tables.new_sector_codes(year)
wb = xlrd.open_workbook(filename)
# in 2005 sheet 0 is x10k RMB, 2007 has only 1 sheet @x10k RMB
sheet = wb.sheet_by_index(0)
ind_codes = None
# the excel files also have this evil problem of merging
# cells for appearance and not meaning. we only have 2
# years so curate them
codes.set_code("FU101", "农村居民消费")
codes.set_code("FU102", "城镇居民消费")
codes.set_code("FU103", "政府消费支出")
codes.set_code("FU201", "固定资本形成总额")
codes.set_code("FU202", "存货增加")
codes.set_code("GCF", "资本形成合计")
codes.set_code("EX", "出口")
codes.blacklist_code("TI")
codes.blacklist_code("TII")
for i in range(sheet.nrows):
row = sheet.row_values(i)
if ind_codes is None:
for cell in row:
if type(cell) is str and cell.strip("0") == "1":
ind_codes = []
break
if ind_codes is not None:
for cell in row[3:]:
if type(cell) is float:
cell = str(int(cell))
if regexes.is_num(cell) or table.has_code(cell):
ind_codes.append(cell)
else:
ind_codes.append(None)
else:
from_code = codes.set_code(row[2], row[1])
if from_code:
for (value, to_code) in zip(row[3:], ind_codes):
if to_code is not None:
tables.insert_io(year, from_code, to_code, value)
codes.update_codes()
def parse_io():
files = {
2005: fileutils.getdatapath("2005年42部门投入产出流量表.xls", "cn-io"),
2007: fileutils.getdatapath("0101.xls", "cn-io", "中国投入产出表2007",
"excel"),
}
tables = HybridTableCreator(config.SCHEMA)
for (year, filename) in files.items():
tables.add_io_table(year)
codes = tables.new_sector_codes(year)
wb = xlrd.open_workbook(filename)
# in 2005 sheet 0 is x10k RMB, 2007 has only 1 sheet @x10k RMB
sheet = wb.sheet_by_index(0)
ind_codes = None
# the excel files also have this evil problem of merging
# cells for appearance and not meaning. we only have 2
# years so curate them
codes.set_code("FU101", "农村居民消费")
codes.set_code("FU102", "城镇居民消费")
codes.set_code("FU103", "政府消费支出")
codes.set_code("FU201", "固定资本形成总额")
codes.set_code("FU202", "存货增加")
codes.set_code("GCF", "资本形成合计")
codes.set_code("EX", "出口")
codes.blacklist_code("TI")
codes.blacklist_code("TII")
for i in range(sheet.nrows):
row = sheet.row_values(i)
if ind_codes is None:
for cell in row:
if type(cell) is str and cell.strip("0") == "1":
ind_codes = []
break
if ind_codes is not None:
for cell in row[3:]:
if type(cell) is float:
cell = str(int(cell))
if regexes.is_num(cell) or table.has_code(cell):
ind_codes.append(cell)
else:
ind_codes.append(None)
else:
from_code = codes.set_code(row[2], row[1])
if from_code:
for (value, to_code) in zip(row[3:], ind_codes):
if to_code is not None:
tables.insert_io(year, from_code, to_code, value)
codes.update_codes()
def parse_io():
# choose 中分類 for all io tables.
# 中分類 for 1990 and 1995 don't break down the electronic
# sectors as far as i would like, so use 小分類
files = {
1990: "l00_21.xls",
1995: "l00_21.xls",
2000: "io00a301.xls",
2005: "io05a301.xls",
}
tables = HybridTableCreator(config.SCHEMA)
for (year, filename) in files.items():
# 1995 and 2000 io tables: easiest
tables.add_io_table(year)
codes = tables.new_sector_codes(year)
# for 1995 use the heisei 2-7-12 file since it has more
# harmonized sectors than the standalone 1995 file
if year == 1995:
sheetindex = 2
else:
# the first page of the heisei 2-7-12 file (used for 1990)
# happens to be 1990 at nominal prices, matching the others
sheetindex = 0
path = fileutils.getcache(filename, "jp", str(year))
wb = xlrd.open_workbook(path)
sheet = wb.sheet_by_index(sheetindex)
ind_names = None
ind_codes = None
for i in range(sheet.nrows):
row = sheet.row_values(i)
if ind_codes is None:
for cell in row:
if cell == 1:
ind_codes = [str(c).strip().rjust(3, "0")
for c in row]
break
if cell.strip() == "001":
ind_codes = row
break
elif ind_names is None:
ind_names = row
temp_codes = [None, None]
for i in range(2, len(row)):
temp_codes.append(
codes.set_code(ind_codes[i], row[i]))
ind_codes = temp_codes
else:
from_code = row[0]
if type(from_code) is float:
from_code = str(int(from_code)).rjust(3, "0")
from_code = codes.set_code(from_code, row[1])
if from_code:
for i in range(2, len(row)):
to_code = ind_codes[i]
value = row[i]
tables.insert_io(year, from_code, to_code, value)
codes.update_codes()