csv files zipped

dataforgoodfr · May 31, 2024 · 8e17f14 · 8e17f14
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diff --git a/README.md b/README.md
@@ -50,4 +50,14 @@ and check your browser !
 
 ## Utiliser Tox pour tester votre code
 
-    tox -vv
+    tox -vv
+
+## Python scripts for testing locally (outside API)
+To run the plotly graphs and the folium map locally and generate html files, you can use the script:
+
+    python3 pinkbombs/graphs/test_graphs.py 
+
+To translate the data and zip the csv files for download, run locally: 
+
+    python3 pinkbombs/graphs/translate_data.py
+    python3 pinkbombs/graphs/zip_data.py
diff --git a/download/csv/alternatives_text_7.csv.zip b/download/csv/alternatives_text_7.csv.zip
diff --git a/download/csv/alternatives_text_7_fr.csv.zip b/download/csv/alternatives_text_7_fr.csv.zip
diff --git a/download/csv/antibiotic_consumption_chile_4.2.csv.zip b/download/csv/antibiotic_consumption_chile_4.2.csv.zip
diff --git a/download/csv/carbon_bombs_pie_chart_5.1.csv.zip b/download/csv/carbon_bombs_pie_chart_5.1.csv.zip
diff --git a/download/csv/country_pays.csv.zip b/download/csv/country_pays.csv.zip
diff --git a/download/csv/data_isocodes_1.4.csv.zip b/download/csv/data_isocodes_1.4.csv.zip
diff --git a/download/csv/discrease_wild_salmon_1.1.csv.zip b/download/csv/discrease_wild_salmon_1.1.csv.zip
diff --git a/download/csv/discrease_wild_salmon_1.1_fr.csv.zip b/download/csv/discrease_wild_salmon_1.1_fr.csv.zip
diff --git a/download/csv/escapes_marine_cages_3.5.csv.zip b/download/csv/escapes_marine_cages_3.5.csv.zip
diff --git a/download/csv/evolution_salmon_farming_country_1.4.csv.zip b/download/csv/evolution_salmon_farming_country_1.4.csv.zip
diff --git a/download/csv/evolution_salmon_farming_country_iso_1.4.csv.zip b/download/csv/evolution_salmon_farming_country_iso_1.4.csv.zip
diff --git a/download/csv/evolution_salmon_farming_country_iso_1.4_fr.csv.zip b/download/csv/evolution_salmon_farming_country_iso_1.4_fr.csv.zip
diff --git a/download/csv/hyper_growth_salmon_farming_1.2.csv.zip b/download/csv/hyper_growth_salmon_farming_1.2.csv.zip
diff --git a/download/csv/hyper_growth_salmon_farming_1.2_fr.csv.zip b/download/csv/hyper_growth_salmon_farming_1.2_fr.csv.zip
diff --git a/download/csv/mortality_rates_4.4.csv.zip b/download/csv/mortality_rates_4.4.csv.zip
diff --git a/download/csv/mortality_rates_4.4_fr.csv.zip b/download/csv/mortality_rates_4.4_fr.csv.zip
diff --git a/download/csv/numbers_salmons_farmed_1.0.csv.zip b/download/csv/numbers_salmons_farmed_1.0.csv.zip
diff --git a/download/csv/numbers_salmons_farmed_1.0_fr.csv.zip b/download/csv/numbers_salmons_farmed_1.0_fr.csv.zip
diff --git a/download/csv/production_saumon_page_story.csv.zip b/download/csv/production_saumon_page_story.csv.zip
diff --git a/download/csv/ras_projects_for_map_2.4.csv.zip b/download/csv/ras_projects_for_map_2.4.csv.zip
diff --git a/download/csv/ras_projects_for_map_2.4_fr.csv.zip b/download/csv/ras_projects_for_map_2.4_fr.csv.zip
diff --git a/download/csv/social_mill_fishing_6.csv.zip b/download/csv/social_mill_fishing_6.csv.zip
diff --git a/download/csv/top_10_companies_producing_2.1.csv.zip b/download/csv/top_10_companies_producing_2.1.csv.zip
diff --git a/download/csv/top_10_companies_producing_2.1_fr.csv.zip b/download/csv/top_10_companies_producing_2.1_fr.csv.zip
diff --git a/download/csv/top_10_countries_producing_1.3.csv.zip b/download/csv/top_10_countries_producing_1.3.csv.zip
diff --git a/download/csv/top_10_countries_producing_1.3_fr.csv.zip b/download/csv/top_10_countries_producing_1.3_fr.csv.zip
diff --git a/download/csv/top_10_ras_companies_2.3.csv.zip b/download/csv/top_10_ras_companies_2.3.csv.zip
diff --git a/download/csv/top_10_ras_companies_2.3_fr.csv.zip b/download/csv/top_10_ras_companies_2.3_fr.csv.zip
diff --git a/pinkbombs/graphs/zip_data.py b/pinkbombs/graphs/zip_data.py
@@ -1,9 +1,14 @@
 
 import pandas as pd
+import os
 
-data1_0_name = 'numbers_salmons_farmed_1.0'
-data1_0_file = "data/"+data1_0_name+".csv"
-df_data1_0 = pd.read_csv(data1_0_file)
+# Script to read the csv files and save them as zip for download from pinkbombs.org
 
-df_data1_0.to_csv("download/csv/"+data1_0_name+".csv.zip", 
-                  compression='zip')
+path = "data/"
+dir_list = os.listdir(path)
+
+for el in dir_list:
+    if el[-3:] == 'csv':
+        df = pd.read_csv(path+el)
+        df.to_csv("download/csv/"+el+".zip", compression='zip')
+        print("Files converted: ", el)