New version 0.1.901 fixes issues

Author: AutoViML

autoviz/AutoViz_Holo.py

@@ -225,7 +225,12 @@ def AutoViz_Holo(filename, sep=',', depVar='', dfte=None, header=0, verbose=0,
         drawobj5 = draw_violinplot_hv(dfin, dep, nums, chart_format, problem_type, mk_dir, verbose)
         ls_objects.append(drawobj5)
     if len(nums) > 0:
-        drawobj6 = draw_heatmap_hv(dfin, nums, chart_format, date_vars, dep, problem_type, classes, 
+        #### Adding int vars to nums since pandas has changed the df.corr() to error when cats are included ###
+        if len(cats) > 0:
+            nums_in = nums + dfin[cats].select_dtypes(include="number").columns.tolist()
+        else:
+            nums_in = nums[:]
+        drawobj6 = draw_heatmap_hv(dfin, nums_in, chart_format, date_vars, dep, problem_type, classes, 
                             mk_dir, verbose)
         ls_objects.append(drawobj6)
     if len(date_vars) > 0:
@@ -1035,7 +1040,7 @@ def create_figure(x, y):
         opts['alpha'] = alpha
         opts['tools'] = ['hover']
         opts['toolbar'] = 'above'
-        opts['colorbar'] = True
+        #opts['colorbar'] = True
         #opts['color'] = next(colors)
         opts['title'] = title='Time Series plots of Numeric vars'
         dft = df.set_index(df[x])
@@ -1115,15 +1120,16 @@ def draw_heatmap_hv(dft, conti, chart_format, datevars=[], dep=None,
             dft_target = dft[conti]
             dft_target[dep] = dft[dep].values
         corre = dft_target.corr()
+        corre = corre.round(2)
         if timeseries_flag:
             heatmap = corre.hvplot.heatmap(height=height_size, width=width_size, colorbar=True, 
                     cmap=cmap_list, rot=70,
-            title='Time Series: Heatmap of all Differenced Continuous vars for target = %s' %dep)
+            title='Time Series: Heatmap of all Differenced Numeric vars for target = %s' %dep)
         else:
             heatmap = corre.hvplot.heatmap(height=height_size, width=width_size,  colorbar=True,
                     cmap=cmap_list,
                     rot=70,
-            title='Heatmap of all Continuous Variables including target');
+            title='Heatmap of all Numeric Variables including target');
         hv_plot = heatmap * hv.Labels(heatmap).opts(opts.Labels(text_font_size='7pt'))
         hv_panel = pn.panel(hv_plot)
         if verbose == 2:
@@ -1143,17 +1149,18 @@ def draw_heatmap_hv(dft, conti, chart_format, datevars=[], dep=None,
             dft_target = dft_target[:]
         N = len(conti)
         corre = dft_target.corr()
+        corre = corre.round(2)
         if timeseries_flag:
             heatmap = corre.hvplot.heatmap(height=height_size, width=width_size, colorbar=True, 
                     cmap=cmap_list,
                                            rot=70,
-                title='Time Series Data: Heatmap of Differenced Continuous vars including target').opts(
+                title='Time Series Data: Heatmap of Differenced Numeric vars including target').opts(
                         opts.HeatMap(tools=['hover'], toolbar='above'))
         else:
             heatmap = corre.hvplot.heatmap(height=height_size, width=width_size, colorbar=True, 
                     cmap=cmap_list,
                                            rot=70,
-            title='Heatmap of all Continuous Variables including target').opts(
+            title='Heatmap of all Numeric Variables including target').opts(
                                     opts.HeatMap(tools=['hover'],  toolbar='above'))
         hv_plot = heatmap * hv.Labels(heatmap).opts(opts.Labels(text_font_size='7pt'))
         hv_panel = pn.panel(hv_plot)

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__ = "0.1.808"
+__version__ = "0.1.901"
 __holo_version__ = "0.0.4"
 __license__ = "Apache License 2.0"
 __copyright__ = "2020-21 Google"

setup.py

@@ -34,7 +34,7 @@
     "holoviews<=1.14.9",  # Older compatible version
     "panel~=0.14.4", ## this is an old versjon of panel
     "param==1.13.0", ### something broke in panel without this
-    "pandas<2.0", ## pandas must be below 2.0 version
+    "pandas>=2.0", ## pandas must be below 2.0 version
     ]
 
 # For Python versions >= 3.10 and < 3.11, update the dependency list
@@ -47,7 +47,7 @@
         "holoviews>=1.15.3",  # Update based on the bug fix relevant to Python 3.10
         # Ensure other dependencies are compatible
         "panel>=1.4.0", ## this is a new version of panel
-        "pandas<2.0", ## pandas must be below 2.0 version
+        "pandas>=2.0", ## pandas must be below 2.0 version
     ]
 
 # For Python versions >= 3.11, ensure HoloViews is at least 1.15.3 for the bug fix
@@ -64,7 +64,7 @@
 
 setuptools.setup(
     name="autoviz",
-    version="0.1.808",
+    version="0.1.901",
     author="Ram Seshadri",
     description="Automatically Visualize any dataset, any size with a single line of code",
     long_description=long_description,