Major update with this new 0.1.803 version

autoviz/AutoViz_Holo.py

@@ -210,10 +210,14 @@ def AutoViz_Holo(filename, sep=',', depVar='', dfte=None, header=0, verbose=0,
     drawobj3 = draw_distplot_hv(dfin, cats, nums, chart_format, problem_type, dep, classes, mk_dir, verbose)
     ls_objects.append(drawobj3)
     ### kdeplot is the only time you send in ls_objects since it has to be returned with 2 objects ###
-    drawobj4 = draw_kdeplot_hv(dfin, cats, nums, chart_format, problem_type, dep, ls_objects, mk_dir, verbose)
-    if not drawobj4:
-        ### if it is not blank, then treat it as ls_objects ###
-        ls_objects = copy.deepcopy(drawobj4)
+    try:
+        drawobj4 = draw_kdeplot_hv(dfin, cats, nums, chart_format, problem_type, dep, ls_objects, mk_dir, verbose)
+        if not drawobj4:
+            ### if it is not blank, then treat it as ls_objects ###
+            ls_objects = copy.deepcopy(drawobj4)
+    except:
+        ### This KDE plot errors a lot due to DynamicMaps of holoviews being buggy, so better to skip it!
+        print('KDE plot is erroring due to problems with DynamicMaps. Hence it is skipped')
     if len(nums) > 0:
         drawobj5 = draw_violinplot_hv(dfin, dep, nums, chart_format, problem_type, mk_dir, verbose)
         ls_objects.append(drawobj5)
@@ -316,6 +320,7 @@ def draw_kdeplot_hv(dfin, cats, nums, chart_format, problem_type, dep, ls_object
     plot_name = 'kde_plots'
     width_size = 600
     height_size = 400
+
     ########################################################################################
     def return_dynamic_objects(dfout, dep, title='Distribution of Target variable'):
         width_size = 600

autoviz/__version__.py

@@ -5,7 +5,7 @@
 __author__ = "Ram Seshadri"
 __description__ = "Automatically Visualize any data set any size with a Single Line of Code"
 __url__ = "https://github.com/AutoViML/AutoViz.git"
-__version__ = "0.1.802"
+__version__ = "0.1.803"
 __holo_version__ = "0.0.4"
 __license__ = "Apache License 2.0"
 __copyright__ = "2020-21 Google"

requirements.txt

@@ -10,6 +10,10 @@ matplotlib<=3.7.4
 seaborn>=0.12.2
 scikit-learn
 statsmodels
+holoviews~=1.14.9
+bokeh~=2.4.2
+hvplot~=0.7.3
+panel>=0.12.6
 xgboost>=0.82,<1.7
 fsspec>=0.8.3
 typing-extensions>=4.1.1

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="autoviz",
-    version="0.1.802",
+    version="0.1.803",
     author="Ram Seshadri",
     # author_email="author@example.com",
     description="Automatically Visualize any dataset, any size with a single line of code",
@@ -27,6 +27,10 @@
         "statsmodels",
         "nltk",
         "textblob",
+        "holoviews~=1.14.9",
+        "bokeh~=2.4.2",
+        "hvplot~=0.7.3",
+        "panel>=0.12.6",
         "xgboost>=0.82,<1.7",
         "fsspec>=0.8.3",
         "typing-extensions>=4.1.1",