queryset => dataframe => plot

df_for_plotly

@@ -0,0 +1,55 @@
+from django_pandas.io import read_frame
+import plotly.express as px
+import uuid
+
+
+def pie(df, values, names):
+    #https://plotly.com/python/pie-charts/
+
+    fig = px.pie(df, 
+                 values=values, 
+                 names=names, 
+                 #hover_data=['lifeExp']
+                 )
+    #title=None, orientation="h", y=1, yanchor="bottom", x=0.5, xanchor="center"\
+    legend=dict(
+            x=0.9,
+            y=0.9,
+            xref="container",
+            yref="container",
+            bgcolor="Gold",
+    )
+    fig.update_layout( 
+        font_family="Rockwell",
+        legend=dict(
+            #title=None, orientation="h", y=1, yanchor="bottom", x=0.5, xanchor="center"
+            x=0.9,
+            y=0.9,
+            xref="container",
+            yref="container",
+            bgcolor="Gold",
+        )
+    )
+    config = {'displayModeBar': False}
+    plot = fig.to_html(config=config, full_html=False, div_id=f"pie_plot_{uuid.uuid4()}", default_width="100%")
+    return plot
+
+
+def bars(df, oy, ox, horizontal=False):
+
+    fig = px.bar(df,
+                x=ox, 
+                y=oy, 
+                #color="medal",
+                orientation='h' if horizontal else 'v',
+                )
+    config = {'displayModeBar': False}
+    plot = fig.to_html(config=config, full_html=False, div_id=f"bar_plot_{uuid.uuid4()}", default_width="100%")
+    return plot
+
+def touched_view(request):
+
+    touched_data = Author.objects.values('update_touch_date').annotate(co=Count('update_touch_date')).order_by('update_touch_date').values('co', 'update_touch_date')
+    
+    touched_df = read_frame(qs=touched_data)
+    context['authors_bars'] = bars(touched_df, ox="update_touch_date", oy="co")