Remove maybe unused function (#57814)

* Remove unused function * Remove unused function

Author: tqa236

pandas/plotting/_matplotlib/converter.py

@@ -4,7 +4,6 @@
 import datetime as pydt
 from datetime import (
  datetime,
- timedelta,
  tzinfo,
 )
 import functools
@@ -460,28 +459,6 @@ def autoscale(self):
  return self.nonsingular(vmin, vmax)
 
 
-def _from_ordinal(x, tz: tzinfo | None = None) -> datetime:
- ix = int(x)
- dt = datetime.fromordinal(ix)
- remainder = float(x) - ix
- hour, remainder = divmod(24 * remainder, 1)
- minute, remainder = divmod(60 * remainder, 1)
- second, remainder = divmod(60 * remainder, 1)
- microsecond = int(1_000_000 * remainder)
- if microsecond < 10:
- microsecond = 0 # compensate for rounding errors
- dt = datetime(
- dt.year, dt.month, dt.day, int(hour), int(minute), int(second), microsecond
- )
- if tz is not None:
- dt = dt.astimezone(tz)
-
- if microsecond > 999990: # compensate for rounding errors
- dt += timedelta(microseconds=1_000_000 - microsecond)
-
- return dt
-
-
 # Fixed frequency dynamic tick locators and formatters
 
 # -------------------------------------------------------------------------

pandas/tests/plotting/test_datetimelike.py

@@ -295,27 +295,6 @@ def test_plot_multiple_inferred_freq(self):
  ser = Series(np.random.default_rng(2).standard_normal(len(dr)), index=dr)
  _check_plot_works(ser.plot)
 
- @pytest.mark.xfail(reason="Api changed in 3.6.0")
- def test_uhf(self):
- import pandas.plotting._matplotlib.converter as conv
-
- idx = date_range("2012-6-22 21:59:51.960928", freq="ms", periods=500)
- df = DataFrame(
- np.random.default_rng(2).standard_normal((len(idx), 2)), index=idx
- )
-
- _, ax = mpl.pyplot.subplots()
- df.plot(ax=ax)
- axis = ax.get_xaxis()
-
- tlocs = axis.get_ticklocs()
- tlabels = axis.get_ticklabels()
- for loc, label in zip(tlocs, tlabels):
- xp = conv._from_ordinal(loc).strftime("%H:%M:%S.%f")
- rs = str(label.get_text())
- if len(rs):
- assert xp == rs
-
  def test_irreg_hf(self):
  idx = date_range("2012-6-22 21:59:51", freq="s", periods=10)
  df = DataFrame(