DOC: Standardize fontsize and rot in plotting funcs

Author: bashtage

pandas/plotting/_core.py

@@ -277,7 +277,7 @@ def hist_frame(
     The matplotlib axes to be used by boxplot.
 fontsize : float or str
     Tick label font size in points or as a string (e.g., `large`).
-rot : int or float, default 0
+rot : float, default 0
     The rotation angle of labels (in degrees)
     with respect to the screen coordinate system.
 grid : bool, default True
@@ -557,7 +557,7 @@ def boxplot_frame_groupby(
 
     column : column name or list of names, or vector
         Can be any valid input to groupby.
-    fontsize : int or str
+    fontsize : float or str
     rot : label rotation angle
     grid : Setting this to True will show the grid
     ax : Matplotlib axis object, default None
@@ -731,10 +731,10 @@ class PlotAccessor(PandasObject):
 
            Now applicable to planar plots (`scatter`, `hexbin`).
 
-    rot : int, default None
+    rot : float, default None
         Rotation for ticks (xticks for vertical, yticks for horizontal
         plots).
-    fontsize : int, default None
+    fontsize : float, default None
         Font size for xticks and yticks.
     colormap : str or matplotlib colormap object, default None
         Colormap to select colors from. If string, load colormap with that

pandas/plotting/_matplotlib/hist.py

@@ -323,7 +323,7 @@ def _grouped_hist(
     layout : optional
     sharex : bool, default False
     sharey : bool, default False
-    rot : int, default 90
+    rot : float, default 90
     grid : bool, default True
     legend: : bool, default False
     kwargs : dict, keyword arguments passed to matplotlib.Axes.hist

pandas/plotting/_misc.py

@@ -286,11 +286,11 @@ def andrews_curves(
     frame : DataFrame
         Data to be plotted, preferably normalized to (0.0, 1.0).
     class_column : label
-        Name of the column containing class names
+        Name of the column containing class names.
     ax : axes object, default None
-        Axes to use
+        Axes to use.
     samples : int
-        Number of points to plot in each curve
+        Number of points to plot in each curve.
     color : {str, list, tuple}, optional
         Colors to use for the different classes. Colors can be strings
         or 3-element floating point RBG values.
@@ -477,7 +477,7 @@ def lag_plot(series: Series, lag: int = 1, ax: Axes | None = None, **kwds) -> Ax
     series : Series
         The time series to visualize.
     lag : int, optional
-        lag of the scatter plot, default 1.
+        Lag length of the scatter plot, default 1.
     ax : Matplotlib axis object, optional
         The matplotlib axis object to use.
     **kwds