Update _core.py with missing parameters (pandas-dev#33596)

Author: loudlemon

pandas/plotting/_core.py

@@ -614,8 +614,21 @@ class PlotAccessor(PandasObject):
         - 'pie' : pie plot
         - 'scatter' : scatter plot
         - 'hexbin' : hexbin plot.
-
+    ax : matplotlib axes object, default None
+        An axes of the current figure.
+    subplots : bool, default False
+        Make separate subplots for each column.
+    sharex : bool, default True if ax is None else False
+        In case ``subplots=True``, share x axis and set some x axis labels
+        to invisible; defaults to True if ax is None otherwise False if
+        an ax is passed in; Be aware, that passing in both an ax and
+        ``sharex=True`` will alter all x axis labels for all axis in a figure.
+    sharey : bool, default False
+        In case ``subplots=True``, share y axis and set some y axis labels to invisible.
+    layout : tuple, optional
+        (rows, columns) for the layout of subplots.
     figsize : a tuple (width, height) in inches
+        Size of a figure object.
     use_index : bool, default True
         Use index as ticks for x axis.
     title : str or list
@@ -645,7 +658,9 @@ class PlotAccessor(PandasObject):
     yticks : sequence
         Values to use for the yticks.
     xlim : 2-tuple/list
+        Set the x limits of the current axes.
     ylim : 2-tuple/list
+        Set the y limits of the current axes.
     rot : int, default None
         Rotation for ticks (xticks for vertical, yticks for horizontal
         plots).
@@ -671,6 +686,13 @@ class PlotAccessor(PandasObject):
         detail.
     xerr : DataFrame, Series, array-like, dict and str
         Equivalent to yerr.
+    stacked : bool, default False in line and bar plots, and True in area plot
+        If True, create stacked plot.
+    sort_columns : bool, default False
+        Sort column names to determine plot ordering.
+    secondary_y : bool or sequence, default False
+        Whether to plot on the secondary y-axis if a list/tuple, which
+        columns to plot on secondary y-axis.
     mark_right : bool, default True
         When using a secondary_y axis, automatically mark the column
         labels with "(right)" in the legend.