/usr/lib/python2.7/dist-packages/pandas/tseries/tools.py is in python-pandas 0.13.1-2ubuntu2.
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import re
import sys
import numpy as np
import pandas.lib as lib
import pandas.tslib as tslib
import pandas.core.common as com
from pandas.compat import StringIO, callable
import pandas.compat as compat
try:
import dateutil
from dateutil.parser import parse, DEFAULTPARSER
from dateutil.relativedelta import relativedelta
# raise exception if dateutil 2.0 install on 2.x platform
if (sys.version_info[0] == 2 and
dateutil.__version__ == '2.0'): # pragma: no cover
raise Exception('dateutil 2.0 incompatible with Python 2.x, you must '
'install version 1.5 or 2.1+!')
except ImportError: # pragma: no cover
print('Please install python-dateutil via easy_install or some method!')
raise # otherwise a 2nd import won't show the message
_DATEUTIL_LEXER_SPLIT = None
try:
# Since these are private methods from dateutil, it is safely imported
# here so in case this interface changes, pandas will just fallback
# to not using the functionality
from dateutil.parser import _timelex
if hasattr(_timelex, 'split'):
def _lexer_split_from_str(dt_str):
# The StringIO(str(_)) is for dateutil 2.2 compatibility
return _timelex.split(StringIO(str(dt_str)))
_DATEUTIL_LEXER_SPLIT = _lexer_split_from_str
except (ImportError, AttributeError):
pass
def _infer_tzinfo(start, end):
def _infer(a, b):
tz = a.tzinfo
if b and b.tzinfo:
if not (tslib.get_timezone(tz) == tslib.get_timezone(b.tzinfo)):
raise AssertionError('Inputs must both have the same timezone,'
' {0} != {1}'.format(tz, b.tzinfo))
return tz
tz = None
if start is not None:
tz = _infer(start, end)
elif end is not None:
tz = _infer(end, start)
return tz
def _maybe_get_tz(tz):
if isinstance(tz, compat.string_types):
import pytz
tz = pytz.timezone(tz)
if com.is_integer(tz):
import pytz
tz = pytz.FixedOffset(tz / 60)
return tz
def _guess_datetime_format(dt_str, dayfirst=False,
dt_str_parse=compat.parse_date,
dt_str_split=_DATEUTIL_LEXER_SPLIT):
"""
Guess the datetime format of a given datetime string.
Parameters
----------
dt_str : string, datetime string to guess the format of
dayfirst : boolean, default False
If True parses dates with the day first, eg 20/01/2005
Warning: dayfirst=True is not strict, but will prefer to parse
with day first (this is a known bug).
dt_str_parse : function, defaults to `compate.parse_date` (dateutil)
This function should take in a datetime string and return
a `datetime.datetime` guess that the datetime string represents
dt_str_split : function, defaults to `_DATEUTIL_LEXER_SPLIT` (dateutil)
This function should take in a datetime string and return
a list of strings, the guess of the various specific parts
e.g. '2011/12/30' -> ['2011', '/', '12', '/', '30']
Returns
-------
ret : datetime formatt string (for `strftime` or `strptime`)
"""
if dt_str_parse is None or dt_str_split is None:
return None
if not isinstance(dt_str, compat.string_types):
return None
day_attribute_and_format = (('day',), '%d')
datetime_attrs_to_format = [
(('year', 'month', 'day'), '%Y%m%d'),
(('year',), '%Y'),
(('month',), '%B'),
(('month',), '%b'),
(('month',), '%m'),
day_attribute_and_format,
(('hour',), '%H'),
(('minute',), '%M'),
(('second',), '%S'),
(('microsecond',), '%f'),
(('second', 'microsecond'), '%S.%f'),
]
if dayfirst:
datetime_attrs_to_format.remove(day_attribute_and_format)
datetime_attrs_to_format.insert(0, day_attribute_and_format)
try:
parsed_datetime = dt_str_parse(dt_str, dayfirst=dayfirst)
except:
# In case the datetime can't be parsed, its format cannot be guessed
return None
if parsed_datetime is None:
return None
try:
tokens = dt_str_split(dt_str)
except:
# In case the datetime string can't be split, its format cannot
# be guessed
return None
format_guess = [None] * len(tokens)
found_attrs = set()
for attrs, attr_format in datetime_attrs_to_format:
# If a given attribute has been placed in the format string, skip
# over other formats for that same underlying attribute (IE, month
# can be represented in multiple different ways)
if set(attrs) & found_attrs:
continue
if all(getattr(parsed_datetime, attr) is not None for attr in attrs):
for i, token_format in enumerate(format_guess):
if (token_format is None and
tokens[i] == parsed_datetime.strftime(attr_format)):
format_guess[i] = attr_format
found_attrs.update(attrs)
break
# Only consider it a valid guess if we have a year, month and day
if len(set(['year', 'month', 'day']) & found_attrs) != 3:
return None
output_format = []
for i, guess in enumerate(format_guess):
if guess is not None:
# Either fill in the format placeholder (like %Y)
output_format.append(guess)
else:
# Or just the token separate (IE, the dashes in "01-01-2013")
try:
# If the token is numeric, then we likely didn't parse it
# properly, so our guess is wrong
float(tokens[i])
return None
except ValueError:
pass
output_format.append(tokens[i])
guessed_format = ''.join(output_format)
if parsed_datetime.strftime(guessed_format) == dt_str:
return guessed_format
def _guess_datetime_format_for_array(arr, **kwargs):
# Try to guess the format based on the first non-NaN element
non_nan_elements = com.notnull(arr).nonzero()[0]
if len(non_nan_elements):
return _guess_datetime_format(arr[non_nan_elements[0]], **kwargs)
def to_datetime(arg, errors='ignore', dayfirst=False, utc=None, box=True,
format=None, coerce=False, unit='ns',
infer_datetime_format=False):
"""
Convert argument to datetime
Parameters
----------
arg : string, datetime, array of strings (with possible NAs)
errors : {'ignore', 'raise'}, default 'ignore'
Errors are ignored by default (values left untouched)
dayfirst : boolean, default False
If True parses dates with the day first, eg 20/01/2005
Warning: dayfirst=True is not strict, but will prefer to parse
with day first (this is a known bug).
utc : boolean, default None
Return UTC DatetimeIndex if True (converting any tz-aware
datetime.datetime objects as well)
box : boolean, default True
If True returns a DatetimeIndex, if False returns ndarray of values
format : string, default None
strftime to parse time, eg "%d/%m/%Y"
coerce : force errors to NaT (False by default)
unit : unit of the arg (D,s,ms,us,ns) denote the unit in epoch
(e.g. a unix timestamp), which is an integer/float number
infer_datetime_format: boolean, default False
If no `format` is given, try to infer the format based on the first
datetime string. Provides a large speed-up in many cases.
Returns
-------
ret : datetime if parsing succeeded
Examples
--------
Take separate series and convert to datetime
>>> import pandas as pd
>>> i = pd.date_range('20000101',periods=100)
>>> df = pd.DataFrame(dict(year = i.year, month = i.month, day = i.day))
>>> pd.to_datetime(df.year*10000 + df.month*100 + df.day, format='%Y%m%d')
Or from strings
>>> df = df.astype(str)
>>> pd.to_datetime(df.day + df.month + df.year, format="%d%m%Y")
"""
from pandas import Timestamp
from pandas.core.series import Series
from pandas.tseries.index import DatetimeIndex
def _convert_listlike(arg, box, format):
if isinstance(arg, (list,tuple)):
arg = np.array(arg, dtype='O')
if com.is_datetime64_ns_dtype(arg):
if box and not isinstance(arg, DatetimeIndex):
try:
return DatetimeIndex(arg, tz='utc' if utc else None)
except ValueError:
pass
return arg
arg = com._ensure_object(arg)
if infer_datetime_format and format is None:
format = _guess_datetime_format_for_array(arg, dayfirst=dayfirst)
if format is not None:
# There is a special fast-path for iso8601 formatted
# datetime strings, so in those cases don't use the inferred
# format because this path makes process slower in this
# special case
format_is_iso8601 = (
'%Y-%m-%dT%H:%M:%S.%f'.startswith(format) or
'%Y-%m-%d %H:%M:%S.%f'.startswith(format)
)
if format_is_iso8601:
format = None
try:
result = None
if format is not None:
# shortcut formatting here
if format == '%Y%m%d':
try:
result = _attempt_YYYYMMDD(arg)
except:
raise ValueError("cannot convert the input to '%Y%m%d' date format")
# fallback
if result is None:
try:
result = tslib.array_strptime(
arg, format, coerce=coerce
)
except (tslib.OutOfBoundsDatetime):
if errors == 'raise':
raise
result = arg
except ValueError:
# Only raise this error if the user provided the
# datetime format, and not when it was inferred
if not infer_datetime_format:
raise
if result is None and (format is None or infer_datetime_format):
result = tslib.array_to_datetime(arg, raise_=errors == 'raise',
utc=utc, dayfirst=dayfirst,
coerce=coerce, unit=unit)
if com.is_datetime64_dtype(result) and box:
result = DatetimeIndex(result, tz='utc' if utc else None)
return result
except ValueError as e:
try:
values, tz = tslib.datetime_to_datetime64(arg)
return DatetimeIndex._simple_new(values, None, tz=tz)
except (ValueError, TypeError):
raise e
if arg is None:
return arg
elif isinstance(arg, Timestamp):
return arg
elif isinstance(arg, Series):
values = _convert_listlike(arg.values, False, format)
return Series(values, index=arg.index, name=arg.name)
elif com.is_list_like(arg):
return _convert_listlike(arg, box, format)
return _convert_listlike(np.array([ arg ]), box, format)[0]
class DateParseError(ValueError):
pass
def _attempt_YYYYMMDD(arg):
""" try to parse the YYYYMMDD/%Y%m%d format, try to deal with NaT-like,
arg is a passed in as an object dtype, but could really be ints/strings with nan-like/or floats (e.g. with nan) """
def calc(carg):
# calculate the actual result
carg = carg.astype(object)
return lib.try_parse_year_month_day(carg/10000,carg/100 % 100, carg % 100)
def calc_with_mask(carg,mask):
result = np.empty(carg.shape, dtype='M8[ns]')
iresult = result.view('i8')
iresult[-mask] = tslib.iNaT
result[mask] = calc(carg[mask].astype(np.float64).astype(np.int64)).astype('M8[ns]')
return result
# try intlike / strings that are ints
try:
return calc(arg.astype(np.int64))
except:
pass
# a float with actual np.nan
try:
carg = arg.astype(np.float64)
return calc_with_mask(carg,com.notnull(carg))
except:
pass
# string with NaN-like
try:
mask = ~lib.ismember(arg, tslib._nat_strings)
return calc_with_mask(arg,mask)
except:
pass
return None
# patterns for quarters like '4Q2005', '05Q1'
qpat1full = re.compile(r'(\d)Q(\d\d\d\d)')
qpat2full = re.compile(r'(\d\d\d\d)Q(\d)')
qpat1 = re.compile(r'(\d)Q(\d\d)')
qpat2 = re.compile(r'(\d\d)Q(\d)')
ypat = re.compile(r'(\d\d\d\d)$')
has_time = re.compile('(.+)([\s]|T)+(.+)')
def parse_time_string(arg, freq=None, dayfirst=None, yearfirst=None):
"""
Try hard to parse datetime string, leveraging dateutil plus some extra
goodies like quarter recognition.
Parameters
----------
arg : compat.string_types
freq : str or DateOffset, default None
Helps with interpreting time string if supplied
dayfirst : bool, default None
If None uses default from print_config
yearfirst : bool, default None
If None uses default from print_config
Returns
-------
datetime, datetime/dateutil.parser._result, str
"""
from pandas.core.config import get_option
from pandas.tseries.offsets import DateOffset
from pandas.tseries.frequencies import (_get_rule_month, _month_numbers,
_get_freq_str)
if not isinstance(arg, compat.string_types):
return arg
arg = arg.upper()
default = datetime(1, 1, 1).replace(hour=0, minute=0,
second=0, microsecond=0)
# special handling for possibilities eg, 2Q2005, 2Q05, 2005Q1, 05Q1
if len(arg) in [4, 6]:
m = ypat.match(arg)
if m:
ret = default.replace(year=int(m.group(1)))
return ret, ret, 'year'
add_century = False
if len(arg) == 4:
add_century = True
qpats = [(qpat1, 1), (qpat2, 0)]
else:
qpats = [(qpat1full, 1), (qpat2full, 0)]
for pat, yfirst in qpats:
qparse = pat.match(arg)
if qparse is not None:
if yfirst:
yi, qi = 1, 2
else:
yi, qi = 2, 1
q = int(qparse.group(yi))
y_str = qparse.group(qi)
y = int(y_str)
if add_century:
y += 2000
if freq is not None:
# hack attack, #1228
mnum = _month_numbers[_get_rule_month(freq)] + 1
month = (mnum + (q - 1) * 3) % 12 + 1
if month > mnum:
y -= 1
else:
month = (q - 1) * 3 + 1
ret = default.replace(year=y, month=month)
return ret, ret, 'quarter'
is_mo_str = freq is not None and freq == 'M'
is_mo_off = getattr(freq, 'rule_code', None) == 'M'
is_monthly = is_mo_str or is_mo_off
if len(arg) == 6 and is_monthly:
try:
ret = _try_parse_monthly(arg)
if ret is not None:
return ret, ret, 'month'
except Exception:
pass
# montly f7u12
mresult = _attempt_monthly(arg)
if mresult:
return mresult
if dayfirst is None:
dayfirst = get_option("display.date_dayfirst")
if yearfirst is None:
yearfirst = get_option("display.date_yearfirst")
try:
parsed, reso = dateutil_parse(arg, default, dayfirst=dayfirst,
yearfirst=yearfirst)
except Exception as e:
# TODO: allow raise of errors within instead
raise DateParseError(e)
if parsed is None:
raise DateParseError("Could not parse %s" % arg)
return parsed, parsed, reso # datetime, resolution
def dateutil_parse(timestr, default,
ignoretz=False, tzinfos=None,
**kwargs):
""" lifted from dateutil to get resolution"""
from dateutil import tz
import time
fobj = StringIO(str(timestr))
res = DEFAULTPARSER._parse(fobj, **kwargs)
# dateutil 2.2 compat
if isinstance(res, tuple):
res, _ = res
if res is None:
raise ValueError("unknown string format")
repl = {}
reso = None
for attr in ["year", "month", "day", "hour",
"minute", "second", "microsecond"]:
value = getattr(res, attr)
if value is not None:
repl[attr] = value
reso = attr
if reso is None:
raise ValueError("Cannot parse date.")
if reso == 'microsecond' and repl['microsecond'] == 0:
reso = 'second'
ret = default.replace(**repl)
if res.weekday is not None and not res.day:
ret = ret + relativedelta.relativedelta(weekday=res.weekday)
if not ignoretz:
if callable(tzinfos) or tzinfos and res.tzname in tzinfos:
if callable(tzinfos):
tzdata = tzinfos(res.tzname, res.tzoffset)
else:
tzdata = tzinfos.get(res.tzname)
if isinstance(tzdata, datetime.tzinfo):
tzinfo = tzdata
elif isinstance(tzdata, compat.string_types):
tzinfo = tz.tzstr(tzdata)
elif isinstance(tzdata, int):
tzinfo = tz.tzoffset(res.tzname, tzdata)
else:
raise ValueError("offset must be tzinfo subclass, "
"tz string, or int offset")
ret = ret.replace(tzinfo=tzinfo)
elif res.tzname and res.tzname in time.tzname:
ret = ret.replace(tzinfo=tz.tzlocal())
elif res.tzoffset == 0:
ret = ret.replace(tzinfo=tz.tzutc())
elif res.tzoffset:
ret = ret.replace(tzinfo=tz.tzoffset(res.tzname, res.tzoffset))
return ret, reso
def _attempt_monthly(val):
pats = ['%Y-%m', '%m-%Y', '%b %Y', '%b-%Y']
for pat in pats:
try:
ret = datetime.strptime(val, pat)
return ret, ret, 'month'
except Exception:
pass
def _try_parse_monthly(arg):
base = 2000
add_base = False
default = datetime(1, 1, 1).replace(hour=0, minute=0, second=0,
microsecond=0)
if len(arg) == 4:
add_base = True
y = int(arg[:2])
m = int(arg[2:4])
elif len(arg) >= 6: # 201201
y = int(arg[:4])
m = int(arg[4:6])
if add_base:
y += base
ret = default.replace(year=y, month=m)
return ret
normalize_date = tslib.normalize_date
def format(dt):
"""Returns date in YYYYMMDD format."""
return dt.strftime('%Y%m%d')
OLE_TIME_ZERO = datetime(1899, 12, 30, 0, 0, 0)
def ole2datetime(oledt):
"""function for converting excel date to normal date format"""
val = float(oledt)
# Excel has a bug where it thinks the date 2/29/1900 exists
# we just reject any date before 3/1/1900.
if val < 61:
raise ValueError("Value is outside of acceptable range: %s " % val)
return OLE_TIME_ZERO + timedelta(days=val)
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