Update app.py

Author: BigToothDev

app_files/app.py

@@ -3,25 +3,26 @@
 import pandas as pd
 import plotly.graph_objects as go
 import json
+from pyodide.http import open_url
 
-# df_ukr_pop_region_all_flows_2021 = pd.read_csv('./app_files/ukr_pop_region_all_flows_total_2021.csv', sep=",", decimal=".")
-# df_ukr_pop_region_all_flows_2020 = pd.read_csv('./app_files/ukr_pop_region_all_flows_total_2020.csv', sep=",", decimal=".")
-# df_ukr_pop_region_all_flows_2019 = pd.read_csv('./app_files/ukr_pop_region_all_flows_total_2019.csv', sep=",", decimal=".")
-# df_ukr_pop_region_inter_state_flows_2021 = pd.read_csv('./app_files/ukr_pop_region_inter_state_total_2021.csv', sep=",", decimal=".")
-# df_ukr_pop_region_inter_state_flows_2020 = pd.read_csv('./app_files/ukr_pop_region_inter_state_total_2020.csv', sep=",", decimal=".")
-# df_ukr_pop_region_inter_state_flows_2019 = pd.read_csv('./app_files/ukr_pop_region_inter_state_total_2019.csv', sep=",", decimal=".")
-# df_ukr_population = pd.read_csv('./app_files/ukr_pop_present_resident_age.csv', sep=",", decimal=".")
+df_ukr_pop_region_all_flows_2021 = pd.read_csv(open_url('./app_files/ukr_pop_region_all_flows_total_2021.csv'))
+df_ukr_pop_region_all_flows_2020 = pd.read_csv(open_url('./app_files/ukr_pop_region_all_flows_total_2020.csv'))
+df_ukr_pop_region_all_flows_2019 = pd.read_csv(open_url('./app_files/ukr_pop_region_all_flows_total_2019.csv'))
+df_ukr_pop_region_inter_state_flows_2021 = pd.read_csv(open_url('./app_files/ukr_pop_region_inter_state_total_2021.csv'))
+df_ukr_pop_region_inter_state_flows_2020 = pd.read_csv(open_url('./app_files/ukr_pop_region_inter_state_total_2020.csv'))
+df_ukr_pop_region_inter_state_flows_2019 = pd.read_csv(open_url('./app_files/ukr_pop_region_inter_state_total_2019.csv'))
+df_ukr_population = pd.read_csv(open_url('./app_files/ukr_pop_present_resident_age.csv'))
 
-#with open('./app_files/geoBoundaries-UKR-ADM1.geojson', 'r', encoding='utf-8') as geo_file:
-#    ukraine_geojson = json.load(geo_file)
-base_path = Path('./docs')
-df_ukr_pop_region_all_flows_2021 = pd.read_csv(base_path / 'ukr_pop_region_all_flows_total_2021.csv', sep=",", decimal=".")
-df_ukr_pop_region_all_flows_2020 = pd.read_csv(base_path / 'ukr_pop_region_all_flows_total_2020.csv', sep=",", decimal=".")
-df_ukr_pop_region_all_flows_2019 = pd.read_csv(base_path / 'ukr_pop_region_all_flows_total_2019.csv', sep=",", decimal=".")
-df_ukr_pop_region_inter_state_flows_2021 = pd.read_csv(base_path / 'ukr_pop_region_inter_state_total_2021.csv', sep=",", decimal=".")
-df_ukr_pop_region_inter_state_flows_2020 = pd.read_csv(base_path / 'ukr_pop_region_inter_state_total_2020.csv', sep=",", decimal=".")
-df_ukr_pop_region_inter_state_flows_2019 = pd.read_csv(base_path / 'ukr_pop_region_inter_state_total_2019.csv', sep=",", decimal=".")
-df_ukr_population = pd.read_csv(base_path / 'ukr_pop_present_resident_age.csv', sep=",", decimal=".")
+with open_url('./app_files/geoBoundaries-UKR-ADM1.geojson', 'r', encoding='utf-8') as geo_file:
+    ukraine_geojson = json.load(geo_file)
+# base_path = Path('./docs')
+# df_ukr_pop_region_all_flows_2021 = pd.read_csv(base_path / 'ukr_pop_region_all_flows_total_2021.csv', sep=",", decimal=".")
+# df_ukr_pop_region_all_flows_2020 = pd.read_csv(base_path / 'ukr_pop_region_all_flows_total_2020.csv', sep=",", decimal=".")
+# df_ukr_pop_region_all_flows_2019 = pd.read_csv(base_path / 'ukr_pop_region_all_flows_total_2019.csv', sep=",", decimal=".")
+# df_ukr_pop_region_inter_state_flows_2021 = pd.read_csv(base_path / 'ukr_pop_region_inter_state_total_2021.csv', sep=",", decimal=".")
+# df_ukr_pop_region_inter_state_flows_2020 = pd.read_csv(base_path / 'ukr_pop_region_inter_state_total_2020.csv', sep=",", decimal=".")
+# df_ukr_pop_region_inter_state_flows_2019 = pd.read_csv(base_path / 'ukr_pop_region_inter_state_total_2019.csv', sep=",", decimal=".")
+# df_ukr_population = pd.read_csv(base_path / 'ukr_pop_present_resident_age.csv', sep=",", decimal=".")
 
 geo_path = base_path / 'geoBoundaries-UKR-ADM1.geojson'
 with open(geo_path, 'r', encoding='utf-8') as geo_file: