REF: remove redundant get_freq function

pandas/_libs/tslibs/frequencies.pxd

@@ -1,7 +1,6 @@
 cpdef str get_rule_month(object source, str default=*)
 
 cpdef get_freq_code(freqstr)
-cpdef object get_freq(object freq)
 cpdef str get_base_alias(freqstr)
 cpdef int get_to_timestamp_base(int base)
 cpdef str get_freq_str(base, mult=*)

pandas/_libs/tslibs/frequencies.pyx

@@ -306,25 +306,6 @@ cpdef int get_to_timestamp_base(int base):
     return base
 
 
-cpdef object get_freq(object freq):
-    """
-    Return frequency code of given frequency str.
-    If input is not string, return input as it is.
-
-    Examples
-    --------
-    >>> get_freq('A')
-    1000
-
-    >>> get_freq('3A')
-    1000
-    """
-    if isinstance(freq, str):
-        base, mult = get_freq_code(freq)
-        freq = base
-    return freq
-
-
 # ----------------------------------------------------------------------
 # Frequency comparison
 

pandas/plotting/_matplotlib/converter.py

@@ -12,7 +12,7 @@
 
 from pandas._libs import lib, tslibs
 from pandas._libs.tslibs import resolution
-from pandas._libs.tslibs.frequencies import FreqGroup, get_freq
+from pandas._libs.tslibs.frequencies import FreqGroup, get_freq_code
 
 from pandas.core.dtypes.common import (
     is_datetime64_ns_dtype,
@@ -887,7 +887,7 @@ def _annual_finder(vmin, vmax, freq):
 
 def get_finder(freq):
     if isinstance(freq, str):
-        freq = get_freq(freq)
+        freq = get_freq_code(freq)[0]
     fgroup = resolution.get_freq_group(freq)
 
     if fgroup == FreqGroup.FR_ANN:
@@ -932,7 +932,7 @@ def __init__(
         plot_obj=None,
     ):
         if isinstance(freq, str):
-            freq = get_freq(freq)
+            freq = get_freq_code(freq)[0]
         self.freq = freq
         self.base = base
         (self.quarter, self.month, self.day) = (quarter, month, day)
@@ -1011,7 +1011,7 @@ class TimeSeries_DateFormatter(Formatter):
 
     def __init__(self, freq, minor_locator=False, dynamic_mode=True, plot_obj=None):
         if isinstance(freq, str):
-            freq = get_freq(freq)
+            freq = get_freq_code(freq)[0]
         self.format = None
         self.freq = freq
         self.locs = []

pandas/plotting/_matplotlib/timeseries.py

@@ -7,7 +7,7 @@
 from pandas._libs.tslibs.frequencies import (
     FreqGroup,
     get_base_alias,
-    get_freq,
+    get_freq_code,
     is_subperiod,
     is_superperiod,
 )
@@ -209,9 +209,9 @@ def _use_dynamic_x(ax, data):
     if freq is None:
         return False
 
-    # hack this for 0.10.1, creating more technical debt...sigh
+    # FIXME: hack this for 0.10.1, creating more technical debt...sigh
     if isinstance(data.index, ABCDatetimeIndex):
-        base = get_freq(freq)
+        base = get_freq_code(freq)[0]
         x = data.index
         if base <= FreqGroup.FR_DAY:
             return x[:1].is_normalized

pandas/tests/tseries/frequencies/test_freq_code.py

@@ -1,12 +1,7 @@
 import pytest
 
 from pandas._libs.tslibs import frequencies as libfrequencies, resolution
-from pandas._libs.tslibs.frequencies import (
-    FreqGroup,
-    _period_code_map,
-    get_freq,
-    get_freq_code,
-)
+from pandas._libs.tslibs.frequencies import FreqGroup, _period_code_map, get_freq_code
 
 import pandas.tseries.offsets as offsets
 
@@ -31,12 +26,12 @@ def period_code_item(request):
     ],
 )
 def test_freq_code(freqstr, expected):
-    assert get_freq(freqstr) == expected
+    assert get_freq_code(freqstr)[0] == expected
 
 
 def test_freq_code_match(period_code_item):
     freqstr, code = period_code_item
-    assert get_freq(freqstr) == code
+    assert get_freq_code(freqstr)[0] == code
 
 
 @pytest.mark.parametrize(
@@ -156,31 +151,31 @@ def test_cat(args):
     "freq_input,expected",
     [
         # Frequency string.
-        ("A", (get_freq("A"), 1)),
-        ("3D", (get_freq("D"), 3)),
-        ("-2M", (get_freq("M"), -2)),
+        ("A", (get_freq_code("A")[0], 1)),
+        ("3D", (get_freq_code("D")[0], 3)),
+        ("-2M", (get_freq_code("M")[0], -2)),
         # Tuple.
-        (("D", 1), (get_freq("D"), 1)),
-        (("A", 3), (get_freq("A"), 3)),
-        (("M", -2), (get_freq("M"), -2)),
+        (("D", 1), (get_freq_code("D")[0], 1)),
+        (("A", 3), (get_freq_code("A")[0], 3)),
+        (("M", -2), (get_freq_code("M")[0], -2)),
         ((5, "T"), (FreqGroup.FR_MIN, 5)),
         # Numeric Tuple.
         ((1000, 1), (1000, 1)),
         # Offsets.
-        (offsets.Day(), (get_freq("D"), 1)),
-        (offsets.Day(3), (get_freq("D"), 3)),
-        (offsets.Day(-2), (get_freq("D"), -2)),
-        (offsets.MonthEnd(), (get_freq("M"), 1)),
-        (offsets.MonthEnd(3), (get_freq("M"), 3)),
-        (offsets.MonthEnd(-2), (get_freq("M"), -2)),
-        (offsets.Week(), (get_freq("W"), 1)),
-        (offsets.Week(3), (get_freq("W"), 3)),
-        (offsets.Week(-2), (get_freq("W"), -2)),
+        (offsets.Day(), (get_freq_code("D")[0], 1)),
+        (offsets.Day(3), (get_freq_code("D")[0], 3)),
+        (offsets.Day(-2), (get_freq_code("D")[0], -2)),
+        (offsets.MonthEnd(), (get_freq_code("M")[0], 1)),
+        (offsets.MonthEnd(3), (get_freq_code("M")[0], 3)),
+        (offsets.MonthEnd(-2), (get_freq_code("M")[0], -2)),
+        (offsets.Week(), (get_freq_code("W")[0], 1)),
+        (offsets.Week(3), (get_freq_code("W")[0], 3)),
+        (offsets.Week(-2), (get_freq_code("W")[0], -2)),
         (offsets.Hour(), (FreqGroup.FR_HR, 1)),
         # Monday is weekday=0.
-        (offsets.Week(weekday=1), (get_freq("W-TUE"), 1)),
-        (offsets.Week(3, weekday=0), (get_freq("W-MON"), 3)),
-        (offsets.Week(-2, weekday=4), (get_freq("W-FRI"), -2)),
+        (offsets.Week(weekday=1), (get_freq_code("W-TUE")[0], 1)),
+        (offsets.Week(3, weekday=0), (get_freq_code("W-MON")[0], 3)),
+        (offsets.Week(-2, weekday=4), (get_freq_code("W-FRI")[0], -2)),
     ],
 )
 def test_get_freq_code(freq_input, expected):

pandas/tests/tslibs/test_period_asfreq.py

@@ -1,6 +1,6 @@
 import pytest
 
-from pandas._libs.tslibs.frequencies import get_freq
+from pandas._libs.tslibs.frequencies import get_freq_code
 from pandas._libs.tslibs.period import period_asfreq, period_ordinal
 
 
@@ -31,15 +31,18 @@
     ],
 )
 def test_intra_day_conversion_factors(freq1, freq2, expected):
-    assert period_asfreq(1, get_freq(freq1), get_freq(freq2), False) == expected
+    assert (
+        period_asfreq(1, get_freq_code(freq1)[0], get_freq_code(freq2)[0], False)
+        == expected
+    )
 
 
 @pytest.mark.parametrize(
     "freq,expected", [("A", 0), ("M", 0), ("W", 1), ("D", 0), ("B", 0)]
 )
 def test_period_ordinal_start_values(freq, expected):
     # information for Jan. 1, 1970.
-    assert period_ordinal(1970, 1, 1, 0, 0, 0, 0, 0, get_freq(freq)) == expected
+    assert period_ordinal(1970, 1, 1, 0, 0, 0, 0, 0, get_freq_code(freq)[0]) == expected
 
 
 @pytest.mark.parametrize(
@@ -52,7 +55,7 @@ def test_period_ordinal_start_values(freq, expected):
     ],
 )
 def test_period_ordinal_week(dt, expected):
-    args = dt + (get_freq("W"),)
+    args = dt + (get_freq_code("W")[0],)
     assert period_ordinal(*args) == expected
 
 
@@ -74,5 +77,5 @@ def test_period_ordinal_week(dt, expected):
     ],
 )
 def test_period_ordinal_business_day(day, expected):
-    args = (2013, 10, day, 0, 0, 0, 0, 0, get_freq("B"))
+    args = (2013, 10, day, 0, 0, 0, 0, 0, get_freq_code("B")[0])
     assert period_ordinal(*args) == expected