REF: Remove un-used attribute-pinning in plotting

Author: jbrockmendel

pandas/plotting/_matplotlib/converter.py

@@ -973,10 +973,7 @@ def __init__(
 
     def _get_default_locs(self, vmin, vmax):
         """Returns the default locations of ticks."""
-        if self.plot_obj.date_axis_info is None:
-            self.plot_obj.date_axis_info = self.finder(vmin, vmax, self.freq)
-
-        locator = self.plot_obj.date_axis_info
+        locator = self.finder(vmin, vmax, self.freq)
 
         if self.isminor:
             return np.compress(locator["min"], locator["val"])
@@ -987,9 +984,6 @@ def __call__(self):
         # axis calls Locator.set_axis inside set_m<xxxx>_formatter
 
         vi = tuple(self.axis.get_view_interval())
-        if vi != self.plot_obj.view_interval:
-            self.plot_obj.date_axis_info = None
-        self.plot_obj.view_interval = vi
         vmin, vmax = vi
         if vmax < vmin:
             vmin, vmax = vmax, vmin
@@ -1058,9 +1052,7 @@ def __init__(
 
     def _set_default_format(self, vmin, vmax):
         """Returns the default ticks spacing."""
-        if self.plot_obj.date_axis_info is None:
-            self.plot_obj.date_axis_info = self.finder(vmin, vmax, self.freq)
-        info = self.plot_obj.date_axis_info
+        info = self.finder(vmin, vmax, self.freq)
 
         if self.isminor:
             format = np.compress(info["min"] & np.logical_not(info["maj"]), info)
@@ -1076,10 +1068,7 @@ def set_locs(self, locs) -> None:
 
         self.locs = locs
 
-        (vmin, vmax) = vi = tuple(self.axis.get_view_interval())
-        if vi != self.plot_obj.view_interval:
-            self.plot_obj.date_axis_info = None
-        self.plot_obj.view_interval = vi
+        (vmin, vmax) = tuple(self.axis.get_view_interval())
         if vmax < vmin:
             (vmin, vmax) = (vmax, vmin)
         self._set_default_format(vmin, vmax)

pandas/plotting/_matplotlib/core.py

@@ -1578,12 +1578,12 @@ def _ts_plot(self, ax: Axes, x, data: Series, style=None, **kwds):
         freq, data = maybe_resample(data, ax, kwds)
 
         # Set ax with freq info
-        decorate_axes(ax, freq, kwds)
+        decorate_axes(ax, freq)
         # digging deeper
         if hasattr(ax, "left_ax"):
-            decorate_axes(ax.left_ax, freq, kwds)
+            decorate_axes(ax.left_ax, freq)
         if hasattr(ax, "right_ax"):
-            decorate_axes(ax.right_ax, freq, kwds)
+            decorate_axes(ax.right_ax, freq)
         ax._plot_data.append((data, self._kind, kwds))
 
         lines = self._plot(ax, data.index, np.asarray(data.values), style=style, **kwds)

pandas/plotting/_matplotlib/timeseries.py

@@ -104,8 +104,8 @@ def _is_sup(f1: str, f2: str) -> bool:
 
 def _upsample_others(ax: Axes, freq: BaseOffset, kwargs: dict[str, Any]) -> None:
     legend = ax.get_legend()
-    lines, labels = _replot_ax(ax, freq, kwargs)
-    _replot_ax(ax, freq, kwargs)
+    lines, labels = _replot_ax(ax, freq)
+    _replot_ax(ax, freq)
 
     other_ax = None
     if hasattr(ax, "left_ax"):
@@ -114,7 +114,7 @@ def _upsample_others(ax: Axes, freq: BaseOffset, kwargs: dict[str, Any]) -> None
         other_ax = ax.right_ax
 
     if other_ax is not None:
-        rlines, rlabels = _replot_ax(other_ax, freq, kwargs)
+        rlines, rlabels = _replot_ax(other_ax, freq)
         lines.extend(rlines)
         labels.extend(rlabels)
 
@@ -125,14 +125,14 @@ def _upsample_others(ax: Axes, freq: BaseOffset, kwargs: dict[str, Any]) -> None
         ax.legend(lines, labels, loc="best", title=title)
 
 
-def _replot_ax(ax: Axes, freq: BaseOffset, kwargs: dict[str, Any]):
+def _replot_ax(ax: Axes, freq: BaseOffset):
     data = getattr(ax, "_plot_data", None)
 
     # clear current axes and data
     ax._plot_data = []
     ax.clear()
 
-    decorate_axes(ax, freq, kwargs)
+    decorate_axes(ax, freq)
 
     lines = []
     labels = []
@@ -155,20 +155,14 @@ def _replot_ax(ax: Axes, freq: BaseOffset, kwargs: dict[str, Any]):
     return lines, labels
 
 
-def decorate_axes(ax: Axes, freq: BaseOffset, kwargs: dict[str, Any]) -> None:
+def decorate_axes(ax: Axes, freq: BaseOffset) -> None:
     """Initialize axes for time-series plotting"""
     if not hasattr(ax, "_plot_data"):
         ax._plot_data = []
 
     ax.freq = freq
     xaxis = ax.get_xaxis()
     xaxis.freq = freq
-    if not hasattr(ax, "legendlabels"):
-        ax.legendlabels = [kwargs.get("label", None)]
-    else:
-        ax.legendlabels.append(kwargs.get("label", None))
-    ax.view_interval = None
-    ax.date_axis_info = None
 
 
 def _get_ax_freq(ax: Axes):