Migrating the plot_world2 method to the new Plotty API

.gitignore

@@ -1,6 +1,7 @@
 *.csv
+*.html
 *.cfg
 *.svg
 __pycache__
 .vscode/
-myconfig.cfg
+myconfig.cfg

fedora_all_example.py

@@ -0,0 +1,21 @@
+#!/usr/bin/env python3
+# A simple test 
+# Alberto Rodriguez Sanchez bt0dotninja@fedoraproject.org
+# Renato Silva resilva87@fedoraproject.org
+
+
+
+import pandas
+from geofp import geofp
+from datetime import datetime, timezone
+
+if __name__=='__main__':
+    #constructor load the config file (Mandatory)
+    gp=geofp('myconfig.cfg')
+    # get all the members active since June, 01
+    mydate=datetime(2020,1,1,tzinfo=timezone.utc)
+    print(mydate)
+    df=gp.all_fedorians(mydate)
+    # save as csv (actually is pandas dataframe)
+    df.to_csv('Fedora_Community.csv')
+    print(gp.plot_world2(title='Fedora Community',label='Active members by country',filename='Fedora_Community.html', notebook=False))

fedora_join_example.py

@@ -7,12 +7,15 @@
 
 import pandas
 from geofp import geofp
-from datetime import datetime
+from datetime import datetime, timezone
 
 if __name__=='__main__':
     #constructor load the config file (Mandatory)
     gp=geofp('myconfig.cfg')
     # get all the members active since June, 01
-    df=gp.by_group('fedora-join',datetime(2018,7,1))
+    mydate=datetime(2020,1,1,tzinfo=timezone.utc)
+    print(mydate)
+    df=gp.by_group('fedora-join',mydate)
     # save as csv (actually is pandas dataframe)
     df.to_csv('Fedora_join.csv')
+    print(gp.plot_world2(title='Fedora Join Team',label='Members by country',filename='Fedora Join.html', notebook=False))

geofp.py

@@ -62,7 +62,7 @@ class geofp(object):
         return self.members
  
     def ask_byCountry(self,since=None):
-
+        ''' Depreciated'''
         print("Go for coffee...")
         #get all the msg since "since variable" to today
         baseurl = "https://apps.fedoraproject.org/datagrepper/raw?topic=org.fedoraproject.prod.askbot.post.edit"
@@ -113,8 +113,11 @@ class geofp(object):
             
     def plot_world2(self,title='Map', label='# Elements', filename='base_file', notebook=False):
         '''plot a fancy map with heat information '''
-        import plotly.plotly as py
+        import plotly.graph_objs as gobj
+        import pandas as pd
         from iso3166 import countries
+        from plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot
+        init_notebook_mode(connected=notebook)
         
         ct = Counter(self.members.country_code.values.tolist())
         del ct[None]
@@ -154,15 +157,17 @@ class geofp(object):
             showcountries = True,
             showcoastlines = False,
             projection = dict(
-                type = 'Mercator'
+                type = 'natural earth'
                 )
             )
             )
-        fig = dict( data=data, layout=layout )
+        
+        fig = gobj.Figure(data = data,layout = layout)
+
         if notebook:
-            return py.iplot(fig,filename=filename )
+            return iplot(fig,filename=filename )
         else:
-            return py.plot(fig,filename=filename )
+            return plot(fig,filename=filename )