remove some Python dependecies from Period class

Author: blbradley

pandas/lib.pxd

@@ -0,0 +1 @@
+cdef bint is_null_datetimelike(v)

pandas/period.pyx

@@ -2,15 +2,18 @@ from datetime import datetime, date, timedelta
 import operator
 import numpy as np
 
+cdef extern from "datetime_helper.h":
+ double total_seconds(object)
+
 from pandas import compat
-from pandas.core import common as com
-from pandas.core.base import PandasObject
 
 from pandas.tseries import frequencies
 from pandas.tseries.frequencies import get_freq_code as _gfc
 from pandas.tseries import offsets
 from pandas.tseries.tools import parse_time_string
 
+cimport lib
+import lib
 from pandas import tslib
 from tslib import Timedelta, Timestamp
 
@@ -26,7 +29,7 @@ def _period_field_accessor(name, alias):
  return property(f)
 
 
-class Period(PandasObject):
+class Period(object):
  """
  Represents an period of time
 
@@ -74,7 +77,7 @@ class Period(PandasObject):
  raise ValueError(("Only value or ordinal but not both should be "
  "given but not both"))
  elif ordinal is not None:
- if not com.is_integer(ordinal):
+ if not lib.is_integer(ordinal):
  raise ValueError("Ordinal must be an integer")
  if freq is None:
  raise ValueError('Must supply freq for ordinal value')
@@ -96,14 +99,14 @@ class Period(PandasObject):
  converted = other.asfreq(freq)
  self.ordinal = converted.ordinal
 
- elif com.is_null_datelike_scalar(value) or value in tslib._nat_strings:
+ elif lib.is_null_datetimelike(value) or value in tslib._nat_strings:
  self.ordinal = tslib.iNaT
  if freq is None:
  raise ValueError("If value is NaT, freq cannot be None "
  "because it cannot be inferred")
 
- elif isinstance(value, compat.string_types) or com.is_integer(value):
- if com.is_integer(value):
+ elif isinstance(value, compat.string_types) or lib.is_integer(value):
+ if lib.is_integer(value):
  value = str(value)
  value = value.upper()
 
@@ -184,7 +187,7 @@ class Period(PandasObject):
  if isinstance(other, (timedelta, np.timedelta64,
  offsets.Tick, offsets.DateOffset, Timedelta)):
  return self._add_delta(other)
- elif com.is_integer(other):
+ elif lib.is_integer(other):
  if self.ordinal == tslib.iNaT:
  ordinal = self.ordinal
  else:
@@ -198,7 +201,7 @@ class Period(PandasObject):
  offsets.Tick, offsets.DateOffset, Timedelta)):
  neg_other = -other
  return self + neg_other
- elif com.is_integer(other):
+ elif lib.is_integer(other):
  if self.ordinal == tslib.iNaT:
  ordinal = self.ordinal
  else:
@@ -320,15 +323,15 @@ class Period(PandasObject):
  def now(cls, freq=None):
  return Period(datetime.now(), freq=freq)
 
+ # HACK IT UP AND YOU BETTER FIX IT SOON
+ def __str__(self):
+ return self.__unicode__()
+
  def __repr__(self):
  base, mult = _gfc(self.freq)
  formatted = tslib.period_format(self.ordinal, base)
  freqstr = frequencies._reverse_period_code_map[base]
 
- if not compat.PY3:
- encoding = com.get_option("display.encoding")
- formatted = formatted.encode(encoding)
-
  return "Period('%s', '%s')" % (formatted, freqstr)
 
  def __unicode__(self):