Fix docstrings (#3678)

seaborn/categorical.py

@@ -1838,7 +1838,7 @@ def violinplot(
         the data within each group.
 
         .. versionadded:: v0.13.0
-    bw_adjust: float
+    bw_adjust : float
         Factor that scales the bandwidth to use more or less smoothing.
 
         .. versionadded:: v0.13.0
@@ -2028,17 +2028,17 @@ def boxenplot(
     {native_scale}
     {formatter}
     {legend}
-    box_kws: dict
+    box_kws : dict
         Keyword arguments for the box artists; passed to
         :class:`matplotlib.patches.Rectangle`.
 
         .. versionadded:: v0.12.0
-    line_kws: dict
+    line_kws : dict
         Keyword arguments for the line denoting the median; passed to
         :meth:`matplotlib.axes.Axes.plot`.
 
         .. versionadded:: v0.12.0
-    flier_kws: dict
+    flier_kws : dict
         Keyword arguments for the scatter denoting the outlier observations;
         passed to :meth:`matplotlib.axes.Axes.scatter`.
 
@@ -2295,10 +2295,13 @@ def swarmplot(
         brightness is determined by the color palette used for the body
         of the points.
     {linewidth}
+    {hue_norm}
     {log_scale}
     {native_scale}
     {formatter}
     {legend}
+    warn_thresh : float
+        The proportion of points that must overlap to trigger a warning.
     {ax_in}
     kwargs : key, value mappings
         Other keyword arguments are passed through to
@@ -2556,6 +2559,7 @@ def pointplot(
     {stat_api_params}
     {color}
     {palette}
+    {hue_norm}
     markers : string or list of strings
         Markers to use for each of the `hue` levels.
     linestyles : string or list of strings
@@ -2711,6 +2715,7 @@ def countplot(
     {color}
     {palette}
     {saturation}
+    {fill}
     {hue_norm}
     stat : {{'count', 'percent', 'proportion', 'probability'}}
         Statistic to compute; when not `'count'`, bar heights will be normalized so that
@@ -2719,6 +2724,7 @@ def countplot(
         .. versionadded:: v0.13.0
     {width}
     {dodge}
+    {gap}
     {log_scale}
     {native_scale}
     {formatter}
@@ -3185,6 +3191,7 @@ def catplot(
     {col_wrap}
     {height}
     {aspect}
+    {log_scale}
     {native_scale}
     {formatter}
     {orient}

seaborn/regression.py

@@ -557,6 +557,10 @@ def lineplot(self, ax, kws):
         If ``True``, the regression line is bounded by the data limits. If
         ``False``, it extends to the ``x`` axis limits.
     """),
+    dropna=dedent("""\
+    dropna : bool, optional
+        If ``True``, remove observations with missing data from the plot.
+    """),
     xy_jitter=dedent("""\
     {x,y}_jitter : floats, optional
         Add uniform random noise of this size to either the ``x`` or ``y``
@@ -729,6 +733,11 @@ def update_datalim(data, x, y, ax, **kws):
     facet_kws : dict
         Dictionary of keyword arguments for :class:`FacetGrid`.
 
+    Returns
+    -------
+    :class:`FacetGrid`
+        The :class:`FacetGrid` object with the plot on it for further tweaking.
+
     See Also
     --------
     regplot : Plot data and a conditional model fit.
@@ -783,7 +792,7 @@ def regplot(
 
     Parameters
     ----------
-    x, y: string, series, or vector array
+    x, y : string, series, or vector array
         Input variables. If strings, these should correspond with column names
         in ``data``. When pandas objects are used, axes will be labeled with
         the series name.
@@ -804,6 +813,7 @@ def regplot(
     {logx}
     {xy_partial}
     {truncate}
+    {dropna}
     {xy_jitter}
     label : string
         Label to apply to either the scatterplot or regression line (if