[WIP] Modify pairplot to include jointplot and cornerplot like featur…

…es (#1079)

* add jointplot features into pairplot

* add scatter_kde kind for pairplot

* add point_estimate arguments

* bokeh backend

* fix None argument for color in kdeplot bokeh backend

* run black, pylint and pytest

* remove scatter_kde kind among several other changes

* minor changes

* run pytest

* add plot width and height to backend_kwargs

fix pylint issues

fix hover feature

fix hover feature

minor fixes

* update docstring

run pylint

* update changelog

CHANGELOG.md

@@ -3,7 +3,7 @@
 ## v0.x.x Unreleased
 
 ### New features
-
+* Integrate jointplot into pairplot, add point-estimate and overlay of plot kinds #1079
 ### Maintenance and fixes
 
 ### Deprecation
@@ -16,6 +16,8 @@
 ### New features
 * Add out-of-sample predictions (`predictions` and  `predictions_constant_data` groups) to pymc3, pystan, cmdstan and cmdstanpy translations (#983, #1032 and #1064)
 * Started adding pointwise log likelihood storage support (#794, #1044 and #1064)
+* Add out-of-sample predictions (`predictions` and  `predictions_constant_data` groups) to pymc3 and pystan translations (#983 and #1032)
+* Started adding pointwise log likelihood storage support (#794, #1044)
 * Violinplot: rug-plot option (#997)
 * Integrated rcParams `plot.point_estimate` (#994), `stats.ic_scale` (#993) and `stats.credible_interval` (#1017)
 * Added `group` argument to `plot_ppc` (#1008), `plot_pair` (#1009) and `plot_joint` (#1012)
@@ -202,3 +204,4 @@
 ## v0.3.0 (2018 Dec 14)
 
 * First Beta Release
+

arviz/plots/backends/bokeh/distplot.py

@@ -1,6 +1,7 @@
 """Bokeh Distplot."""
 import bokeh.plotting as bkp
 import numpy as np
+import matplotlib.pyplot as plt
 
 from . import backend_kwarg_defaults
 from .. import show_layout
@@ -54,7 +55,8 @@ def plot_dist(
     elif kind == "kde":
         if plot_kwargs is None:
             plot_kwargs = {}
-
+        if color is None:
+            color = plt.rcParams["axes.prop_cycle"].by_key()["color"][0]
         plot_kwargs.setdefault("line_color", color)
         legend = label is not None