def test_concat_date_col_fail(container, dim):
msg = "not all elements from date_cols are numpy arrays"
value = "19990127"
date_cols = tuple(container([value]) for _ in range(dim))
with pytest.raises(ValueError, match=msg):
parsing.concat_date_cols(date_cols)
def converter(*date_cols):
if date_parser is None:
strs = parsing.concat_date_cols(date_cols)
try:
return tools.to_datetime(
ensure_object(strs),
utc=None,
dayfirst=dayfirst,
errors="ignore",
infer_datetime_format=infer_datetime_format,
cache=cache_dates,
).to_numpy()
except ValueError:
return tools.to_datetime(parsing.try_parse_dates(
strs, dayfirst=dayfirst),
cache=cache_dates)
else:
try:
result = tools.to_datetime(date_parser(*date_cols),
errors="ignore",
cache=cache_dates)
if isinstance(result, datetime.datetime):
raise Exception("scalar parser")
return result
except Exception:
try:
return tools.to_datetime(
parsing.try_parse_dates(
parsing.concat_date_cols(date_cols),
parser=date_parser,
dayfirst=dayfirst,
),
errors="ignore",
)
except Exception:
return generic_parser(date_parser, *date_cols)
def date_parser(*date_cols):
"""
Test date parser.
Parameters
----------
date_cols : args
The list of data columns to parse.
Returns
-------
parsed : Series
"""
return parsing.try_parse_dates(parsing.concat_date_cols(date_cols))
def time_check_concat(self, value, dim):
concat_date_cols(self.object)
