Performance on Geoplot + how to reach datasource?

ghomem · July 30, 2021, 1:11pm

Just to comment that this problem is solved. For the record:

the data source of a plot created with plot_bokeh can be fetched from the plot if we create it with a name

ghomem/coviz/blob/master/main.py#L285

    
      
          date_i_cmp = my_slider.value_as_date[0]
          date_f_cmp = my_slider.value_as_date[1]
          
          
for d in my_plot_data:
          
          
    # we get the plot from the tuple
              p = d[0]
          
          
    # for some reason we need to pad the range to get an exact day match with the slider
              p.x_range.start = date_i - pd.Timedelta(days=1).total_seconds()*1000
          
          
    # this one is just for the line not to be attached to the limit of the plot
              p.x_range.end   = date_f + pd.Timedelta(days=2).total_seconds()*1000
          
          
    # we pass the data source from the tuple
              y_min, y_max = get_y_limits (d[1], date_i_cmp, date_f_cmp)
              if math.isnan(y_min) or math.isnan(y_max):
                  print('not rescaling due to having received nan')
                  continue
          
          
    #print (y_min, y_max)

it can be kept handy

github.com

ghomem/coviz/blob/master/main.py#L302

    
      
                      print('not rescaling due to having received nan')
                      continue
          
          
        #print (y_min, y_max)
          
          
        # adjust range
                  range_delta = y_max * PLOT_RANGE_FACTOR
                  p.y_range.end    = y_max + range_delta
                  p.y_range.start  = y_min - range_delta
          
          
# for the map
          def update_map(attr, old, new):
          
          
    date = date_slider_map.value_as_date
          
          
    print('map updating', date)
          
          
    print('process data counties - START')
          
          
    new_data_incidence_counties, xxx, yyy = process_data_counties( date )

and updated on a callback:

github.com

ghomem/coviz/blob/master/main.py#L393

    
      
          height = window.innerHeight || document.documentElement.clientHeight || document.body.clientHeight;
          width  = window.innerWidth  || document.documentElement.clientWidth  || document.body.clientWidth;
          console.log("Javascript callback", height, width);
          
          
// needs to be a list, otherwise we have a server side error
          new_data['height'] = [height];
          new_data['width' ] = [width];
          ds.data = new_data;
          ds.change.emit();
          
          
""")
          
          
#### end of call backs ####
          
          
def get_y_limits ( source, date_i, date_f ):
          
          
    # calculate indexes in the y data
              y_i = np.where( source.data['x'] == date_i )[0][0]
              y_f = np.where( source.data['x'] == date_f )[0][0]
          
          
    # get min and max iterating over the plot series

Thank you,