CLN: remove get_freq_code

pandas/_libs/tslibs/__init__.py

@@ -18,7 +18,7 @@
     "to_offset",
 ]
 
-from . import dtypes  # type: ignore
+from . import dtypes
 from .conversion import localize_pydatetime
 from .nattype import NaT, NaTType, iNaT, is_null_datetimelike, nat_strings
 from .np_datetime import OutOfBoundsDatetime

pandas/_libs/tslibs/frequencies.pxd

@@ -1,5 +1,3 @@
 cdef dict attrname_to_abbrevs
 
-cpdef get_freq_code(freqstr)
 cpdef int get_to_timestamp_base(int base)
-cpdef str get_freq_str(base, mult=*)

pandas/_libs/tslibs/frequencies.pyx

@@ -1,18 +1,5 @@
-cimport numpy as cnp
-cnp.import_array()
 
-from pandas._libs.tslibs.util cimport is_integer_object
-
-from pandas._libs.tslibs.offsets cimport is_offset_object
-from pandas._libs.tslibs.offsets import (
-    INVALID_FREQ_ERR_MSG,
-    _dont_uppercase,
-    _lite_rule_alias,
-    base_and_stride,
-    opattern,
-)
-
-from .dtypes import FreqGroup, _period_code_map, _reverse_period_code_map
+from .dtypes import FreqGroup
 
 # ---------------------------------------------------------------------
 # Period codes
@@ -36,131 +23,22 @@ cdef dict attrname_to_abbrevs = _attrname_to_abbrevs
 
 # ----------------------------------------------------------------------
 
-def get_freq_group(freq) -> int:
+# TODO: this is now identical to the version in libperiod
+def get_freq_group(freq: int) -> int:
     """
     Return frequency code group of given frequency str or offset.
 
     Examples
     --------
-    >>> get_freq_group('W-MON')
+    >>> get_freq_group(4001)
     4000
 
-    >>> get_freq_group('W-FRI')
+    >>> get_freq_group(4006)
     4000
     """
-    if is_offset_object(freq):
-        freq = freq.rule_code
-
-    if isinstance(freq, str):
-        freq = attrname_to_abbrevs.get(freq, freq)
-        base, mult = get_freq_code(freq)
-        freq = base
-    elif isinstance(freq, int):
-        pass
-    else:
-        raise ValueError('input must be str, offset or int')
     return (freq // 1000) * 1000
 
 
-cpdef get_freq_code(freqstr):
-    """
-    Return freq str or tuple to freq code and stride (mult)
-
-    Parameters
-    ----------
-    freqstr : str or tuple
-
-    Returns
-    -------
-    return : tuple of base frequency code and stride (mult)
-
-    Raises
-    ------
-    TypeError : if passed a tuple witth incorrect types
-
-    Examples
-    --------
-    >>> get_freq_code('3D')
-    (6000, 3)
-
-    >>> get_freq_code('D')
-    (6000, 1)
-
-    >>> get_freq_code(('D', 3))
-    (6000, 3)
-    """
-    if is_offset_object(freqstr):
-        freqstr = (freqstr.rule_code, freqstr.n)
-
-    if isinstance(freqstr, tuple):
-        if is_integer_object(freqstr[0]) and is_integer_object(freqstr[1]):
-            # e.g., freqstr = (2000, 1)
-            return freqstr
-        elif is_integer_object(freqstr[0]):
-            # Note: passing freqstr[1] below will raise TypeError if that
-            #  is not a str
-            code = _period_str_to_code(freqstr[1])
-            stride = freqstr[0]
-            return code, stride
-        else:
-            # e.g., freqstr = ('T', 5)
-            code = _period_str_to_code(freqstr[0])
-            stride = freqstr[1]
-            return code, stride
-
-    if is_integer_object(freqstr):
-        return freqstr, 1
-
-    base, stride = base_and_stride(freqstr)
-    code = _period_str_to_code(base)
-
-    return code, stride
-
-
-cpdef _period_str_to_code(str freqstr):
-    freqstr = _lite_rule_alias.get(freqstr, freqstr)
-
-    if freqstr not in _dont_uppercase:
-        lower = freqstr.lower()
-        freqstr = _lite_rule_alias.get(lower, freqstr)
-
-    if freqstr not in _dont_uppercase:
-        freqstr = freqstr.upper()
-    try:
-        return _period_code_map[freqstr]
-    except KeyError:
-        raise ValueError(INVALID_FREQ_ERR_MSG.format(freqstr))
-
-
-cpdef str get_freq_str(base, mult=1):
-    """
-    Return the summary string associated with this offset code, possibly
-    adjusted by a multiplier.
-
-    Parameters
-    ----------
-    base : int (member of FreqGroup)
-
-    Returns
-    -------
-    freq_str : str
-
-    Examples
-    --------
-    >>> get_freq_str(1000)
-    'A-DEC'
-
-    >>> get_freq_str(2000, 2)
-    '2Q-DEC'
-
-    >>> get_freq_str("foo")
-    """
-    code = _reverse_period_code_map.get(base)
-    if mult == 1:
-        return code
-    return str(mult) + code
-
-
 cpdef int get_to_timestamp_base(int base):
     """
     Return frequency code group used for base of to_timestamp against

pandas/_libs/tslibs/period.pyx

@@ -75,8 +75,6 @@ from pandas._libs.tslibs.dtypes cimport (
 
 from pandas._libs.tslibs.frequencies cimport (
     attrname_to_abbrevs,
-    get_freq_code,
-    get_freq_str,
     get_to_timestamp_base,
 )
 from pandas._libs.tslibs.parsing cimport get_rule_month

pandas/core/arrays/datetimes.py

@@ -11,8 +11,8 @@
     Timestamp,
     conversion,
     fields,
-    frequencies as libfrequencies,
     iNaT,
+    offsets as liboffsets,
     resolution as libresolution,
     timezones,
     to_offset,
@@ -1106,7 +1106,7 @@ def to_period(self, freq=None):
 
             #  https://github.com/pandas-dev/pandas/issues/33358
             if res is None:
-                base, stride = libfrequencies.base_and_stride(freq)
+                base, stride = liboffsets.base_and_stride(freq)
                 res = f"{stride}{base}"
 
             freq = res

pandas/core/indexes/period.py

@@ -503,7 +503,7 @@ def get_loc(self, key, method=None, tolerance=None):
 
             reso = Resolution.from_attrname(reso)
             grp = reso.freq_group
-            freqn = get_freq_group(self.freq)
+            freqn = get_freq_group(self.dtype.dtype_code)
 
             # _get_string_slice will handle cases where grp < freqn
             assert grp >= freqn
@@ -579,7 +579,7 @@ def _parsed_string_to_bounds(self, reso: Resolution, parsed: datetime):
     def _validate_partial_date_slice(self, reso: Resolution):
         assert isinstance(reso, Resolution), (type(reso), reso)
         grp = reso.freq_group
-        freqn = get_freq_group(self.freq)
+        freqn = get_freq_group(self.dtype.dtype_code)
 
         if not grp < freqn:
             # TODO: we used to also check for

pandas/plotting/_matplotlib/timeseries.py

@@ -6,7 +6,8 @@
 import numpy as np
 
 from pandas._libs.tslibs import Period, to_offset
-from pandas._libs.tslibs.frequencies import FreqGroup, base_and_stride
+from pandas._libs.tslibs.frequencies import FreqGroup
+from pandas._libs.tslibs.offsets import base_and_stride
 from pandas._typing import FrameOrSeriesUnion
 
 from pandas.core.dtypes.generic import (

pandas/tests/indexes/datetimes/test_scalar_compat.py

@@ -7,6 +7,7 @@
 import pytest
 
 from pandas._libs.tslibs import OutOfBoundsDatetime, to_offset
+from pandas._libs.tslibs.offsets import INVALID_FREQ_ERR_MSG
 
 import pandas as pd
 from pandas import DatetimeIndex, Timestamp, date_range
@@ -118,7 +119,7 @@ def test_round(self, tz_naive_fixture):
         tm.assert_index_equal(rng.round(freq="H"), expected_rng)
         assert elt.round(freq="H") == expected_elt
 
-        msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG
+        msg = INVALID_FREQ_ERR_MSG
         with pytest.raises(ValueError, match=msg):
             rng.round(freq="foo")
         with pytest.raises(ValueError, match=msg):

pandas/tests/indexes/datetimes/test_to_period.py

@@ -6,7 +6,7 @@
 import pytz
 
 from pandas._libs.tslibs.ccalendar import MONTHS
-from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG
+from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
 
 from pandas import (
     DatetimeIndex,

pandas/tests/indexes/timedeltas/test_scalar_compat.py

@@ -5,6 +5,8 @@
 import numpy as np
 import pytest
 
+from pandas._libs.tslibs.offsets import INVALID_FREQ_ERR_MSG
+
 import pandas as pd
 from pandas import Index, Series, Timedelta, TimedeltaIndex, timedelta_range
 import pandas._testing as tm
@@ -58,7 +60,7 @@ def test_tdi_round(self):
         tm.assert_index_equal(td.round(freq="H"), expected_rng)
         assert elt.round(freq="H") == expected_elt
 
-        msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG
+        msg = INVALID_FREQ_ERR_MSG
         with pytest.raises(ValueError, match=msg):
             td.round(freq="foo")
         with pytest.raises(ValueError, match=msg):

pandas/tests/scalar/period/test_asfreq.py

@@ -1,6 +1,7 @@
 import pytest
 
-from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG, _period_code_map
+from pandas._libs.tslibs.dtypes import _period_code_map
+from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
 from pandas.errors import OutOfBoundsDatetime
 
 from pandas import Period, Timestamp, offsets

pandas/tests/scalar/period/test_period.py

@@ -6,9 +6,8 @@
 
 from pandas._libs.tslibs import iNaT, period as libperiod
 from pandas._libs.tslibs.ccalendar import DAYS, MONTHS
-from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG
 from pandas._libs.tslibs.parsing import DateParseError
-from pandas._libs.tslibs.period import IncompatibleFrequency
+from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG, IncompatibleFrequency
 from pandas._libs.tslibs.timezones import dateutil_gettz, maybe_get_tz
 from pandas.compat.numpy import np_datetime64_compat
 

pandas/tests/scalar/timestamp/test_unary_ops.py

@@ -6,7 +6,7 @@
 from pytz import utc
 
 from pandas._libs.tslibs import NaT, Timestamp, conversion, to_offset
-from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG
+from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
 import pandas.util._test_decorators as td
 
 import pandas._testing as tm