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 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(parsers._concat_date_cols(date_cols))
def func(*date_cols):
res = parsing.try_parse_dates(parsers._concat_date_cols(date_cols))
return res
def func(*date_cols):
res = parsing.try_parse_dates(parsers._concat_date_cols(date_cols))
return res
def test_try_parse_dates():
arr = np.array(["5/1/2000", "6/1/2000", "7/1/2000"], dtype=object)
result = parsing.try_parse_dates(arr, dayfirst=True)
expected = np.array([parse(d, dayfirst=True) for d in arr])
tm.assert_numpy_array_equal(result, expected)
def test_try_parse_dates():
arr = np.array(["5/1/2000", "6/1/2000", "7/1/2000"], dtype=object)
result = parsing.try_parse_dates(arr, dayfirst=True)
expected = np.array([parse(d, dayfirst=True) for d in arr])
tm.assert_numpy_array_equal(result, expected)
