Use location name as index

daqviewer/tables.py

@@ -7,11 +7,15 @@ import dash_html_components as html
 import pandas as pd
 import numpy as np
 
+# __file__ = '.'
 csv_name = os.path.dirname(__file__) + '../statistics.csv'
 df = pd.read_csv(csv_name)
 
+df_spec = df.copy()
+df_spec.T
+
 # Round floats
-df.iloc[:, 1:] = np.round(df.iloc[:, 1:] * 100) / 100
+df = df.round(2)
 
 variables = {
     'location': '',
@@ -29,8 +33,8 @@ df = df[variables.keys()]
 # in this case the unique ID is just the country name, so we could have just
 # renamed 'country' to 'id' (but given it the display name 'country'), but
 # here it's duplicated just to show the more general pattern.
-df['id'] = df.index
+df['id'] = df['location']
-# df.set_index('id', inplace=True, drop=False)
+df = df.set_index('id', drop=False)
 
 app = dash.Dash(__name__)
 
@@ -48,7 +52,7 @@ app.layout = html.Div([
         sort_mode='multi',
         row_selectable='multi',
         row_deletable=False,
-        selected_rows=list(df.index),
+        selected_rows=np.arange(df.shape[0]),
         style_as_list_view=True,
     ),
     html.Div(id='datatable-row-ids-container')
@@ -125,4 +129,4 @@ def update_graphs(row_ids, selected_row_ids, active_cell):
 
 
 if __name__ == '__main__':
-    app.run_server(debug=True)
+    app.run_server(debug=False)