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out_inlined.py
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#@inline 1: test_mytracer_kep. test
def test():
dfa1, dfq1, dfm1 = get_dataframes(csvfile1, spec1)
#@inline 2: test_mytracer_kep. get_dataframes
def get_dataframes(csvfile, spec=SPEC):
tables = [t for csv_segment, pdef in Reader(csvfile, spec).items()
#@inline 3: csv2df.reader. Reader.__init__
def __init__(self, csvfile, spec):
self.rows = list(to_rows(csvfile))
#@inline 4: csv2df.reader. to_rows
def to_rows(csvfile):
csv_rows = yield_csv_rows(csvfile)
csv_rows = filter_csv_rows(csv_rows)
#@inline 5: csv2df.reader. filter_csv_rows
def filter_csv_rows(gen):
filled = filter(lambda row: row and row[0], gen)
no_comments = filter(lambda row: not row[0].startswith("___"), filled)
return no_comments
#@return: filter_csv_rows => <filter object at 0x7f9166556e...
return map(Row, csv_rows)
#@return: to_rows => <map object at 0x7f9166556d68>
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
for row in csv.reader(csvfile, **fmt):
yield row
#@return: yield_csv_rows => []
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['', 'Год / Year', 'Кварталы /...
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['', '', 'I', 'II', 'III', 'IV...
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['1. Сводные показатели / Aggr...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
self.name = row[0]
self.data = row[1:]
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['1.1. Валовой внутренний прод...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['Объем ВВП, млрд.рублей /GDP,...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['20152)', '83233', '18568', '...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['20162)', '86044', '18816', '...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2017', '', '200913)', '', ''...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => []
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['Год / Year', 'Кварталы / Qua...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['', '', 'I', 'II', 'III', 'IV...
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['1.2. Индекс промышленного пр...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['Индекс промышленного произво...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['в % к соответствующему перио...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2015', '99,2', '99,9', '98,3...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2016', '101,3', '101,1', '10...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2017', '', '100,1', '', '', ...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['в % к предыдущему периоду / ...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2015', '', '82,8', '102,6', ...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2016', '', '84,4', '103,1', ...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2017', '', '83,1', '', '', '...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['период с начала отчетного го...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2015', '', '', '', '', '', '...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2016', '', '', '', '', '', '...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['2017', '', '', '', '', '', '...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['', 'Янв. Jan.', 'Фев. Feb.',...
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => ['1.2.1. Индексы производства ...
#@inline 4: csv2df.reader. Row.__init__
def __init__(self, row):
#@return: __init__ => None
#@inline 4: csv2df.reader. yield_csv_rows
def yield_csv_rows(csvfile, fmt=CSV_FORMAT):
#@return: yield_csv_rows => None
self.spec = spec
#@return: __init__ => None
#@inline 3: csv2df.reader. Reader.items
def items(self):
rowstack = RowStack(self.rows)
#@inline 4: csv2df.reader. RowStack.__init__
def __init__(self, rows):
self.rows = list(rows)
#@return: __init__ => None
return rowstack.yield_segment_with_defintion(self.spec)
#WATCH: rowstack.rows [Row(['1. Сводные показатели / Aggregated indicators', '', '', '', '', '']), Row(['1.1. Валовой внутренний продукт1) / Gross domestic product1)', '', '', '', '', '']), Row(['Объем ВВП, млрд.рублей /GDP, bln rubles', '', '', '', '', '']), Row(['20152)', '83233', '18568', '19858', '21967', '22840']), Row(['20162)', '86044', '18816', '20430', '22721', '24077']), Row(['2017', '', '200913)', '', '', '']), Row(['Год / Year', 'Кварталы / Quarters', 'Янв. Jan.', 'Фев. Feb.', 'Март Mar.', 'Апр. Apr.', 'Май May', 'Июнь June', 'Июль July', 'Август Aug.', 'Сент. Sept.', 'Окт. Oct.', 'Нояб. Nov.', 'Дек. Dec.', '', '', '']), Row(['1.2. Индекс промышленного производства1) / Industrial Production index1)', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']), Row(['Индекс промышленного производства, ']), Row(['в % к соответствующему периоду предыдущего года / percent of corresponding period of previous year', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']), Row(['2015', '99,2', '99,9', '98,3', '99,5', '99,1', '100,0', '98,2', '101,2', '98,2', '97,6', '99,1', '98,5', '100,2', '99,7', '98,4', '101,0', '98,1']), Row(['2016', '101,3', '101,1', '101,5', '101,0', '101,7', '99,2', '103,8', '100,3', '101,0', '101,5', '102,0', '101,4', '101,5', '100,1', '101,6', '103,4', '100,2']), Row(['2017', '', '100,1', '', '', '', '102,3', '97,3', '100,8', '102,3', '105,6', '', '', '', '', '', '', '']), Row(['в % к предыдущему периоду / percent of previous period', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']), Row(['2015', '', '82,8', '102,6', '103,9', '112,3', '73,9', '99,8', '112,5', '95,6', '97,6', '103,2', '100,5', '101,4', '103,1', '105,0', '101,9', '109,1']), Row(['2016', '', '84,4', '103,1', '103,3', '113,1', '74,7', '104,4', '108,8', '96,3', '98,1', '103,8', '99,9', '101,5', '101,7', '106,6', '103,6', '105,8']), Row(['2017', '', '83,1', '', '', '', '76,2', '99,4', '112,7', '97,7', '101,2', '', '', '', '', '', '', '']), Row(['период с начала отчетного года в % к соответствующему периоду предыдущего года / period from beginning of reporting year as percent of corresponding period of previous year', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']), Row(['2015', '', '', '', '', '', '100,0', '99,1', '99,9', '99,4', '99,1', '99,1', '99,0', '99,1', '99,2', '99,1', '99,3', '99,2']), Row(['2016', '', '', '', '', '', '99,2', '101,5', '101,1', '101,1', '101,1', '101,3', '101,3', '101,3', '101,2', '101,2', '101,4', '101,3']), Row(['2017', '', '', '', '', '', '102,3', '99,7', '100,1', '100,7', '101,7', '', '', '', '', '', '', '']), Row(['1.2.1. Индексы производства по видам деятельности1) (без исключения сезонности и фактора времени) / Industrial Production indices by Industry (without seasonal and time factor adjustment)', '', '', '', '', '', '', '', '', '', '', '', ''])]
#@return: items => <generator object RowStack.yie...
#@inline 3: csv2df.reader. RowStack.yield_segment_with_defintion
def yield_segment_with_defintion(self, spec):
for pdef in spec.get_segment_parsing_definitions():
#@inline 4: csv2df.specification. Specification.get_segment_parsing_definitions
def get_segment_parsing_definitions(self):
return self.segment_definitions
#@return: get_segment_parsing_definitions => []
yield self.remaining_rows(), spec.get_main_parsing_definition()
#@inline 4: csv2df.reader. RowStack.remaining_rows
def remaining_rows(self):
remaining = self.rows
self.rows = []
return remaining
#@return: remaining_rows => [Row(['1. Сводные показатели /...
#@inline 4: csv2df.specification. Specification.get_main_parsing_definition
def get_main_parsing_definition(self):
return self.main
#@return: get_main_parsing_definition => <csv2df.specification.Definiti...
#@return: yield_segment_with_defintion => ([Row(['1. Сводные показатели ...
#@inline 3: csv2df.parser. extract_tables
def extract_tables(csv_segment, pdef):
tables = split_to_tables(csv_segment)
tables = parse_tables(tables, pdef)
#@inline 4: csv2df.parser. parse_tables
def parse_tables(tables, pdef):
tables = [t.set_label(pdef.varnames_dict, pdef.units_dict) for t in tables]
#@inline 5: csv2df.parser. split_to_tables
def split_to_tables(rows):
datarows = []
headers = []
state = State.INIT
for row in rows:
if row.is_datarow():
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
return is_year(self.name)
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
return get_year(string) is not False
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
match = re.match(rx, string)
if match:
return False
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
if state == State.DATA: # table ended
headers.append(row)
state = State.UNKNOWN
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
year = int(match.group(1))
if year >= 1991 and year <= 2050:
return year
#@return: get_year => 2015
#@return: is_year => True
#@return: is_datarow => True
datarows.append(row)
state = State.DATA
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2016
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2017
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
yield Table(headers, datarows)
#@inline 6: csv2df.parser. Table.__init__
def __init__(self, headers, datarows):
self.varname = None
self.unit = None
self.headers = headers
self.lines = odict((row.name, self.UNKNOWN) for row in headers)
self.datarows = datarows
self.coln = max(len(row) for row in self.datarows)
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
return len(self.data)
#@return: __len__ => 5
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 5
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 5
self.splitter_func = None
#@return: __init__ => None
#@return: split_to_tables => Table None (5 columns)
- <1. С...
#@inline 5: csv2df.specification. Definition.varnames_dict
@property
return self.instr.varname_mapper
#@return: varnames_dict => OrderedDict([('Объем ВВП', 'GD...
#@inline 5: csv2df.specification. Definition.units_dict
@property
return self.units
#@return: units_dict => {'млрд.рублей': 'bln_rub', 'пе...
#@inline 5: csv2df.parser. Table.set_label
def set_label(self, varnames_dict, units_dict):
for row in self.headers:
varname = row.get_varname(varnames_dict)
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
varnames = []
for k in varnames_mapper_dict.keys():
if self.matches(k):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
rx = r"\b{}".format(pat)
return bool(re.search(rx, self.name))
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
if len(varnames) > 1:
elif len(varnames) == 1:
return False
#@return: get_varname => False
if varname:
unit = row.get_unit(units_dict)
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
for k in units_mapper_dict.keys():
if k in self.name:
return False
#@return: get_unit => False
if unit:
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@return: get_varname => False
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
#@return: get_unit => False
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => True
varnames.append(varnames_mapper_dict[k])
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
return varnames[0]
#@return: get_varname => GDP
self.varname = varname
self.lines[row.name] = self.KNOWN
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
return units_mapper_dict[k]
#@return: get_unit => bln_rub
self.unit = unit
self.lines[row.name] = self.KNOWN
return self
#@return: set_label => Table GDP_bln_rub (5 columns)
...
#@inline 5: csv2df.parser. split_to_tables
def split_to_tables(rows):
headers = []
datarows = []
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2015
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2016
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2017
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.parser. Table.__init__
def __init__(self, headers, datarows):
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@return: __init__ => None
#@return: split_to_tables => Table None (17 columns)
- <Год...
#@inline 5: csv2df.specification. Definition.varnames_dict
@property
#@return: varnames_dict => OrderedDict([('Объем ВВП', 'GD...
#@inline 5: csv2df.specification. Definition.units_dict
@property
#@return: units_dict => {'млрд.рублей': 'bln_rub', 'пе...
#@inline 5: csv2df.parser. Table.set_label
def set_label(self, varnames_dict, units_dict):
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@return: get_varname => False
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
#@return: get_unit => False
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => True
#@return: get_varname => INDPRO
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
#@return: get_unit => False
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => True
#@return: get_varname => INDPRO
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
#@return: get_unit => False
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@return: get_varname => False
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
#@return: get_unit => yoy
#@return: set_label => Table INDPRO_yoy (17 columns)
...
#@inline 5: csv2df.parser. split_to_tables
def split_to_tables(rows):
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2015
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2016
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2017
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.parser. Table.__init__
def __init__(self, headers, datarows):
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@return: __init__ => None
#@return: split_to_tables => Table None (17 columns)
- <в %...
#@inline 5: csv2df.specification. Definition.varnames_dict
@property
#@return: varnames_dict => OrderedDict([('Объем ВВП', 'GD...
#@inline 5: csv2df.specification. Definition.units_dict
@property
#@return: units_dict => {'млрд.рублей': 'bln_rub', 'пе...
#@inline 5: csv2df.parser. Table.set_label
def set_label(self, varnames_dict, units_dict):
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@return: get_varname => False
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
#@return: get_unit => rog
#@return: set_label => Table None (17 columns)
+ <в %...
#@inline 5: csv2df.parser. split_to_tables
def split_to_tables(rows):
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2015
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2016
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2017
#@return: is_year => True
#@return: is_datarow => True
#@inline 6: csv2df.reader. Row.is_datarow
def is_datarow(self):
#@inline 7: csv2df.reader. is_year
def is_year(string: str) -> bool:
#@inline 8: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => False
#@return: is_year => False
#@return: is_datarow => False
#@inline 6: csv2df.parser. Table.__init__
def __init__(self, headers, datarows):
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@inline 7: csv2df.reader. Row.__len__
def __len__(self):
#@return: __len__ => 17
#@return: __init__ => None
#@return: split_to_tables => Table None (17 columns)
- <пер...
#@inline 5: csv2df.specification. Definition.varnames_dict
@property
#@return: varnames_dict => OrderedDict([('Объем ВВП', 'GD...
#@inline 5: csv2df.specification. Definition.units_dict
@property
#@return: units_dict => {'млрд.рублей': 'bln_rub', 'пе...
#@inline 5: csv2df.parser. Table.set_label
def set_label(self, varnames_dict, units_dict):
#@inline 6: csv2df.reader. Row.get_varname
def get_varname(self, varnames_mapper_dict):
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@inline 7: csv2df.reader. Row.matches
def matches(self, pat):
#@return: matches => False
#@return: get_varname => False
#@inline 6: csv2df.reader. Row.get_unit
def get_unit(self, units_mapper_dict):
#@return: get_unit => ytd
#@return: set_label => Table None (17 columns)
+ <пер...
#@inline 5: csv2df.parser. split_to_tables
def split_to_tables(rows):
if len(headers) > 0 and len(datarows) > 0:
#@return: split_to_tables => None
tables = [t.set_splitter(pdef.funcname) for t in tables]
#@inline 5: csv2df.specification. Definition.funcname
@property
return self.reader
#@return: funcname => False
#@inline 5: csv2df.parser. Table.set_splitter
def set_splitter(self, funcname):
self.splitter_func = splitter.get_splitter(funcname or self.coln)
#@inline 6: csv2df.util_row_splitter. get_splitter
def get_splitter(arg):
try:
return FUNC_MAPPER[arg]
#@return: get_splitter => <function split_row_by_year_an...
return self
#@return: set_splitter => Table GDP_bln_rub (5 columns)
...
#@inline 5: csv2df.specification. Definition.funcname
@property
#@return: funcname => False
#@inline 5: csv2df.parser. Table.set_splitter
def set_splitter(self, funcname):
#@inline 6: csv2df.util_row_splitter. get_splitter
def get_splitter(arg):
#@return: get_splitter => <function split_row_by_periods...
#@return: set_splitter => Table INDPRO_yoy (17 columns)
...
#@inline 5: csv2df.specification. Definition.funcname
@property
#@return: funcname => False
#@inline 5: csv2df.parser. Table.set_splitter
def set_splitter(self, funcname):
#@inline 6: csv2df.util_row_splitter. get_splitter
def get_splitter(arg):
#@return: get_splitter => <function split_row_by_periods...
#@return: set_splitter => Table None (17 columns)
+ <в %...
#@inline 5: csv2df.specification. Definition.funcname
@property
#@return: funcname => False
#@inline 5: csv2df.parser. Table.set_splitter
def set_splitter(self, funcname):
#@inline 6: csv2df.util_row_splitter. get_splitter
def get_splitter(arg):
#@return: get_splitter => <function split_row_by_periods...
#@return: set_splitter => Table None (17 columns)
+ <пер...
def fix_multitable_units(tables):
fix_multitable_units(tables)
#@inline 5: csv2df.parser. parse_tables.[locals].fix_multitable_units
def fix_multitable_units(tables):
for prev_table, table in zip(tables, tables[1:]):
if table.varname is None and not table.has_unknown_lines():
#@inline 6: csv2df.parser. Table.has_unknown_lines
def has_unknown_lines(self):
return self.UNKNOWN in self.lines.values()
#@return: has_unknown_lines => False
table.varname = prev_table.varname
#@inline 6: csv2df.parser. Table.has_unknown_lines
def has_unknown_lines(self):
#@return: has_unknown_lines => False
#@return: fix_multitable_units => None
return tables
#@return: parse_tables => [Table(headers=[Row(['1. Сводн...
verify_tables(tables, pdef)
#@inline 4: csv2df.parser. verify_tables
def verify_tables(tables, pdef):
_labels_in_tables = [t.label for t in tables]
#@inline 5: csv2df.parser. Table.label
@property
vn = self.varname
u = self.unit
if vn and u:
return make_label(vn, u)
#@inline 6: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
return vn + sep + unit
#@return: make_label => GDP_bln_rub
#@return: label => GDP_bln_rub
#@inline 5: csv2df.parser. Table.label
@property
#@inline 6: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => INDPRO_yoy
#@return: label => INDPRO_yoy
#@inline 5: csv2df.parser. Table.label
@property
#@inline 6: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => INDPRO_rog
#@return: label => INDPRO_rog
#@inline 5: csv2df.parser. Table.label
@property
#@inline 6: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => INDPRO_ytd
#@return: label => INDPRO_ytd
_labels_missed = [x for x in pdef.required if x not in _labels_in_tables]
#@inline 5: csv2df.specification. Definition.required
@property
return self.instr.required_labels
#@return: required => ['GDP_bln_rub', 'INDPRO_yoy', ...
if _labels_missed:
#@return: verify_tables => None
return [t for t in tables if t.label in pdef.required]
#@inline 4: csv2df.parser. Table.label
@property
#@inline 5: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => GDP_bln_rub
#@return: label => GDP_bln_rub
#@inline 4: csv2df.specification. Definition.required
@property
#@return: required => ['GDP_bln_rub', 'INDPRO_yoy', ...
#@inline 4: csv2df.parser. Table.label
@property
#@inline 5: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => INDPRO_yoy
#@return: label => INDPRO_yoy
#@inline 4: csv2df.specification. Definition.required
@property
#@return: required => ['GDP_bln_rub', 'INDPRO_yoy', ...
#@inline 4: csv2df.parser. Table.label
@property
#@inline 5: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => INDPRO_rog
#@return: label => INDPRO_rog
#@inline 4: csv2df.specification. Definition.required
@property
#@return: required => ['GDP_bln_rub', 'INDPRO_yoy', ...
#@inline 4: csv2df.parser. Table.label
@property
#@inline 5: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => INDPRO_ytd
#@return: label => INDPRO_ytd
#@inline 4: csv2df.specification. Definition.required
@property
#@return: required => ['GDP_bln_rub', 'INDPRO_yoy', ...
#@return: extract_tables => [Table(headers=[Row(['1. Сводн...
#@inline 3: csv2df.reader. RowStack.yield_segment_with_defintion
def yield_segment_with_defintion(self, spec):
#@return: yield_segment_with_defintion => None
emitter = Emitter(tables)
#@inline 3: csv2df.emitter. Emitter.__init__
def __init__(self, tables):
self.a = []
self.q = []
self.m = []
for t in tables:
self._assert_defined(t)
#@inline 4: csv2df.emitter. Emitter._assert_defined
@staticmethod
if not table.is_defined():
#@inline 5: csv2df.parser. Table.is_defined
def is_defined(self):
return bool(self.label and self.splitter_func)
#@inline 6: csv2df.parser. Table.label
@property
#@inline 7: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => GDP_bln_rub
#@return: label => GDP_bln_rub
#@return: is_defined => True
#@return: _assert_defined => None
self._import(t)
#@inline 4: csv2df.emitter. Emitter._import
def _import(self, table):
for row in table.datarows:
factory = DatapointMaker(row.get_year(), table.label)
#@inline 5: csv2df.reader. Row.get_year
def get_year(self):
return get_year(self.name) #WATCH_AFTER: f"<span style='color:green'>{self.name}</span>"; html.span( self.name, style="color:green" ); html.span( get_year(self.name), style="color:red" )
#@inline 6: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2015
#@return: get_year => 2015
#WATCH: f"<span style='color:green'>{self.name}</span>" <span style='color:green'>20152)</span>
#WATCH: html.span( self.name, style="color:green" ) <span style="color:green">20152)</span>
#WATCH: html.span( get_year(self.name), style="color:red" ) <span style="color:red">2015</span>
#@inline 5: csv2df.parser. Table.label
@property
#@inline 6: csv2df.util_label. make_label
def make_label(vn, unit, sep=SEP):
#@return: make_label => GDP_bln_rub
#@return: label => GDP_bln_rub
#@inline 5: csv2df.emitter. DatapointMaker.__init__
def __init__(self, year, label):
self.year = year
self.label = label
self.freq = False
self.value = False
self.period = False
#@return: __init__ => None
a_value, q_values, m_values = table.splitter_func(row.data)
#@inline 5: csv2df.util_row_splitter. split_row_by_year_and_qtr
def split_row_by_year_and_qtr(row):
return row[0], row[1:1 + 4], None
#@return: split_row_by_year_and_qtr => ('83233', ['18568', '19858', '...
if a_value:
self.a.append(factory.make('a', a_value))
#@inline 5: csv2df.emitter. DatapointMaker.make
def make(self, freq: str, x: float, period=False):
self.freq = freq
self.set_value(x)
#@inline 6: csv2df.emitter. DatapointMaker.set_value
def set_value(self, x):
if x:
self.value = to_float(x)
#@inline 7: csv2df.emitter. to_float
def to_float(text: str, i=0):
i += 1
if i > 5:
if not text:
text = text.replace(",", ".")
try:
return float(text)
#@return: to_float => 83233.0
#@return: set_value => None
self.period = period
return self.as_dict()
#@inline 6: csv2df.emitter. DatapointMaker.as_dict
def as_dict(self):
basedict = dict(year=int(self.year),
label=self.label,
freq=self.freq,
value=self.value,
time_index=self.get_date())
#@inline 7: csv2df.emitter. DatapointMaker.get_date
def get_date(self):
if self.freq == 'a':
return pd.Timestamp(str(self.year)) + pd.offsets.YearEnd()
#@return: get_date => 2015-12-31 00:00:00
if self.freq == 'q':
elif self.freq == 'm':
return basedict
#@return: as_dict => {'year': 2015, 'label': 'GDP_b...
#@return: make => {'year': 2015, 'label': 'GDP_b...
if q_values:
qs = [factory.make('q', val, t + 1)
for t, val in enumerate(q_values) if val]
#@inline 5: csv2df.emitter. DatapointMaker.make
def make(self, freq: str, x: float, period=False):
#@inline 6: csv2df.emitter. DatapointMaker.set_value
def set_value(self, x):
#@inline 7: csv2df.emitter. to_float
def to_float(text: str, i=0):
#@return: to_float => 18568.0
#@return: set_value => None
#@inline 6: csv2df.emitter. DatapointMaker.as_dict
def as_dict(self):
#@inline 7: csv2df.emitter. DatapointMaker.get_date
def get_date(self):
year = int(self.year)
if self.freq == 'q':
month = int(self.period) * 3
base = pd.Timestamp(year, month, 1)
return base + pd.offsets.QuarterEnd()
#@return: get_date => 2015-03-31 00:00:00
basedict.update(dict(qtr=self.period))
#@return: as_dict => {'year': 2015, 'label': 'GDP_b...
#@return: make => {'year': 2015, 'label': 'GDP_b...
#@inline 5: csv2df.emitter. DatapointMaker.make
def make(self, freq: str, x: float, period=False):
#@inline 6: csv2df.emitter. DatapointMaker.set_value
def set_value(self, x):
#@inline 7: csv2df.emitter. to_float
def to_float(text: str, i=0):
#@return: to_float => 19858.0
#@return: set_value => None
#@inline 6: csv2df.emitter. DatapointMaker.as_dict
def as_dict(self):
#@inline 7: csv2df.emitter. DatapointMaker.get_date
def get_date(self):
#@return: get_date => 2015-06-30 00:00:00
#@return: as_dict => {'year': 2015, 'label': 'GDP_b...
#@return: make => {'year': 2015, 'label': 'GDP_b...
#@inline 5: csv2df.emitter. DatapointMaker.make
def make(self, freq: str, x: float, period=False):
#@inline 6: csv2df.emitter. DatapointMaker.set_value
def set_value(self, x):
#@inline 7: csv2df.emitter. to_float
def to_float(text: str, i=0):
#@return: to_float => 21967.0
#@return: set_value => None
#@inline 6: csv2df.emitter. DatapointMaker.as_dict
def as_dict(self):
#@inline 7: csv2df.emitter. DatapointMaker.get_date
def get_date(self):
#@return: get_date => 2015-09-30 00:00:00
#@return: as_dict => {'year': 2015, 'label': 'GDP_b...
#@return: make => {'year': 2015, 'label': 'GDP_b...
#@inline 5: csv2df.emitter. DatapointMaker.make
def make(self, freq: str, x: float, period=False):
#@inline 6: csv2df.emitter. DatapointMaker.set_value
def set_value(self, x):
#@inline 7: csv2df.emitter. to_float
def to_float(text: str, i=0):
#@return: to_float => 22840.0
#@return: set_value => None
#@inline 6: csv2df.emitter. DatapointMaker.as_dict
def as_dict(self):
#@inline 7: csv2df.emitter. DatapointMaker.get_date
def get_date(self):
#@return: get_date => 2015-12-31 00:00:00
#@return: as_dict => {'year': 2015, 'label': 'GDP_b...
#@return: make => {'year': 2015, 'label': 'GDP_b...
self.q.extend(qs)
if m_values:
#@inline 5: csv2df.reader. Row.get_year
def get_year(self):
#@inline 6: csv2df.reader. get_year
def get_year(string: str, rx=YEAR_CATCHER):
#@return: get_year => 2016