sjhdbcsihdb

past_weather_data.csv

@@ -177,5 +177,5 @@ date,temp,humidity,precip,windspeed,sealevelpressure,visibility,solarradiation
 2024-04-09,12.1,77.2,3.6,32.4,1008.0,33.3,87.5
 2024-04-10,11.5,65.3,1.7,18.4,1025.5,34.1,218.0
 2024-04-11,13.1,82.4,0.4,22.3,1029.7,28.0,48.3
-2024-04-12,15.9,77.4,0,29.5,1029.4,30.8,177.1
+2024-04-12,15.9,77.4,0.0,29.5,1029.4,30.8,177.1
 2024-04-13,9.4,86.4,0.0,18.0,1023.4,27.9,59.5

predictions_history.csv

@@ -1,139 +1,145 @@
-pollutant,date_predicted,date,prediction_value
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+pollutant,date_predicted,date,prediction_value
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+NO2,2025-04-09,2025-04-12,12.344843722837314
+O3,2025-04-10,2025-04-11,28.314367145255684
+NO2,2025-04-10,2025-04-11,18.384325902671144
+O3,2025-04-10,2025-04-12,29.281284097019913
+NO2,2025-04-10,2025-04-12,16.552657783375896
+O3,2025-04-10,2025-04-13,42.4379491717469
+NO2,2025-04-10,2025-04-13,12.477293479529985

src/data_api_calls.py

@@ -147,6 +147,8 @@ def get_combined_data() -> pd.DataFrame:
     weather_df = weather_df[columns]
     columns.insert(9, columns.pop(6))
     weather_df = weather_df[columns]
+    
+    print(weather_df)
 
     combined_df = weather_df
 
@@ -181,13 +183,18 @@ def get_combined_data() -> pd.DataFrame:
     combined_df["global_radiation"] = combined_df["global_radiation"].astype(int)
 
     pollution_df = pd.read_csv(POLLUTION_DATA_FILE)
-
     pollution_df["date"] = pd.to_datetime(pollution_df["date"])
     pollution_df = pollution_df[
         (pollution_df["date"] >= seven_days_ago) & (pollution_df["date"] <= today)
     ]
-
-    combined_df["NO2"] = pollution_df["NO2"]
-    combined_df["O3"] = pollution_df["O3"]
+    
+    print(pollution_df)
+    combined_df = pd.merge(combined_df, pollution_df[["date", "NO2", "O3"]], on="date", how="left")
+    combined_df = combined_df.drop(columns=["NO2_x", "O3_x"])
+    combined_df = combined_df.rename(columns={"NO2_y": "NO2", "O3_y": "O3"})
+    cols = ["date", "NO2", "O3", "wind_speed", "mean_temp", "global_radiation", "percipitation", 
+        "pressure", "minimum_visibility", "humidity", "weekday"]
+    combined_df = combined_df[cols]
+    print(combined_df)
 
     return combined_df

weather_data.csv

@@ -14,164 +14,164 @@ date,temp,humidity,precip,windspeed,sealevelpressure,visibility,solarradiation
 2024-10-29,13.8,95.9,0.2,20.5,1023.1,8.1,16.0
 2024-10-30,12.7,92.9,0.6,9.4,1027.5,12.5,32.8
 2024-10-31,12.5,89.9,0.0,11.2,1027.1,17.1,70.6
-2024-11-01,9.9,96.9,0,14.4,1024.3,3.2,10
-2024-11-02,10,87.6,0.5,14.4,1030.9,17.9,36.1
-2024-11-03,5.6,91.4,0,7.2,1030.3,14,37.7
-2024-11-04,7,89.8,0,18,1027.6,13.9,38.4
-2024-11-05,5.9,92.8,0,10.8,1024,7.3,33.1
-2024-11-06,8.2,94.3,0,7.6,1030.2,3.5,27.1
-2024-11-07,5.7,95.4,0,18,1033.1,3.7,11.6
-2024-11-08,4.7,91.6,0,14.4,1028.5,5,10.8
-2024-11-09,6.4,93.7,0.5,7.6,1025.4,5,13
-2024-11-10,9,94,0,10.8,1027.4,5.4,28.1
-2024-11-11,10.3,86.1,4.8,21.6,1028.7,16,25.6
-2024-11-12,8.3,86,0,18.4,1032.5,24.1,24.8
-2024-11-13,8,92.1,0,10.8,1032.5,13.2,21.5
-2024-11-14,10,89.6,0.3,14.4,1028.6,19.7,23.5
-2024-11-15,8.4,93.6,0,11.2,1026.9,9.1,17.8
+2024-11-01,9.9,96.9,0.0,14.4,1024.3,3.2,10.0
+2024-11-02,10.0,87.6,0.5,14.4,1030.9,17.9,36.1
+2024-11-03,5.6,91.4,0.0,7.2,1030.3,14.0,37.7
+2024-11-04,7.0,89.8,0.0,18.0,1027.6,13.9,38.4
+2024-11-05,5.9,92.8,0.0,10.8,1024.0,7.3,33.1
+2024-11-06,8.2,94.3,0.0,7.6,1030.2,3.5,27.1
+2024-11-07,5.7,95.4,0.0,18.0,1033.1,3.7,11.6
+2024-11-08,4.7,91.6,0.0,14.4,1028.5,5.0,10.8
+2024-11-09,6.4,93.7,0.5,7.6,1025.4,5.0,13.0
+2024-11-10,9.0,94.0,0.0,10.8,1027.4,5.4,28.1
+2024-11-11,10.3,86.1,4.8,21.6,1028.7,16.0,25.6
+2024-11-12,8.3,86.0,0.0,18.4,1032.5,24.1,24.8
+2024-11-13,8.0,92.1,0.0,10.8,1032.5,13.2,21.5
+2024-11-14,10.0,89.6,0.3,14.4,1028.6,19.7,23.5
+2024-11-15,8.4,93.6,0.0,11.2,1026.9,9.1,17.8
 2024-11-16,8.7,85.9,3.5,18.4,1017.6,12.3,11.7
-2024-11-17,7.9,81.3,6,21.6,1010.4,30.1,23.4
+2024-11-17,7.9,81.3,6.0,21.6,1010.4,30.1,23.4
 2024-11-18,4.8,90.2,3.5,13.7,1009.4,22.9,20.9
-2024-11-19,4.3,97.1,16.7,19.1,994.9,14.7,9
-2024-11-20,1.5,94.4,4.8,24.5,1000.1,18.3,12
-2024-11-21,0.8,91.9,0,24.1,998.6,20.9,34.6
+2024-11-19,4.3,97.1,16.7,19.1,994.9,14.7,9.0
+2024-11-20,1.5,94.4,4.8,24.5,1000.1,18.3,12.0
+2024-11-21,0.8,91.9,0.0,24.1,998.6,20.9,34.6
 2024-11-22,3.1,86.2,8.6,21.6,1001.4,35.5,23.2
 2024-11-23,4.2,84.6,9.4,28.8,1011.5,34.8,13.6
 2024-11-24,13.8,68.4,0.9,28.8,1003.5,43.6,34.7
 2024-11-25,12.6,78.6,4.6,32.4,1002.8,30.8,7.3
 2024-11-26,7.7,87.7,0.1,25.2,1015.6,24.6,30.4
 2024-11-27,7.4,91.6,11.1,28.8,1012.2,15.7,5.5
-2024-11-28,7,80.8,1.2,14.4,1024.5,42.3,41.5
-2024-11-29,3.7,88.6,0,14.4,1031.4,26,44.4
-2024-11-30,3.6,83.5,0,18,1027.3,32.8,39.5
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+2024-11-30,3.6,83.5,0.0,18.0,1027.3,32.8,39.5
 2024-12-01,3.5,82.6,0.2,22.7,1019.6,23.3,41.3
 2024-12-02,9.7,92.5,4.8,21.6,1011.9,19.3,18.9
-2024-12-03,5.9,84.6,2,14.4,1018.5,30.7,31.8
+2024-12-03,5.9,84.6,2.0,14.4,1018.5,30.7,31.8
 2024-12-04,3.8,92.8,1.2,10.8,1024.9,25.3,11.2
 2024-12-05,6.5,93.3,13.2,25.2,1012.8,8.7,3.9
 2024-12-06,8.8,78.9,7.5,32.4,1007.6,16.9,16.6
-2024-12-07,7.7,87.7,7.4,28.8,995.1,21.5,24
-2024-12-08,6.7,91.8,1,21.6,1007.8,23.2,14.8
-2024-12-09,6.3,81.2,0,28.8,1026.8,40.2,8
-2024-12-10,5.2,83.7,0,21.6,1031.1,33.7,5.1
-2024-12-11,3.7,84.7,0,14.4,1032.2,17.3,5
+2024-12-07,7.7,87.7,7.4,28.8,995.1,21.5,24.0
+2024-12-08,6.7,91.8,1.0,21.6,1007.8,23.2,14.8
+2024-12-09,6.3,81.2,0.0,28.8,1026.8,40.2,8.0
+2024-12-10,5.2,83.7,0.0,21.6,1031.1,33.7,5.1
+2024-12-11,3.7,84.7,0.0,14.4,1032.2,17.3,5.0
 2024-12-12,3.4,95.6,0.5,10.8,1031.7,5.8,7.7
-2024-12-13,1.9,87.8,0,14.4,1027.6,7.9,5.3
-2024-12-14,3.9,90.7,3,18,1019.3,8.5,8.7
-2024-12-15,7.5,93.5,0.2,21.6,1024.1,19.1,8
-2024-12-16,10,89,0.6,21.6,1028.5,25.5,6
-2024-12-17,8.3,90.7,0,18,1025.9,20.9,11.9
-2024-12-18,10,86,0.6,37.8,1010.7,27.7,7.5
-2024-12-19,8.4,86.9,14.3,36,1000.7,23.8,5.6
+2024-12-13,1.9,87.8,0.0,14.4,1027.6,7.9,5.3
+2024-12-14,3.9,90.7,3.0,18.0,1019.3,8.5,8.7
+2024-12-15,7.5,93.5,0.2,21.6,1024.1,19.1,8.0
+2024-12-16,10.0,89.0,0.6,21.6,1028.5,25.5,6.0
+2024-12-17,8.3,90.7,0.0,18.0,1025.9,20.9,11.9
+2024-12-18,10.0,86.0,0.6,37.8,1010.7,27.7,7.5
+2024-12-19,8.4,86.9,14.3,36.0,1000.7,23.8,5.6
 2024-12-20,5.9,80.5,0.3,21.6,1016.7,29.7,34.4
 2024-12-21,8.1,91.9,5.8,28.8,1009.8,16.4,7.8
 2024-12-22,6.1,76.5,7.5,25.2,999.3,27.3,17.9
 2024-12-23,6.2,80.4,5.5,28.8,1013.9,24.2,29.5
 2024-12-24,5.3,95.6,2.7,14.4,1025.1,10.3,7.3
 2024-12-25,8.8,98.7,0.3,10.8,1032.9,2.6,7.8
-2024-12-26,6.8,98.3,0,11.2,1036.2,3,8
-2024-12-27,2.8,98.3,0,10.8,1033.9,2,33.4
-2024-12-28,1,98.8,0,11.2,1030,1,10.3
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+2024-12-29,3.8,96.8,0.6,18.0,1028.5,2.8,4.9
 2024-12-30,6.8,91.6,0.3,21.6,1027.5,12.3,6.1
-2024-12-31,4.6,89.3,0,28.8,1023.3,14.3,10.2
-2025-01-01,8,81.9,13,43.2,1009.5,33,5.3
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 2025-01-03,2.3,87.4,3.6,21.6,1018.2,37.4,11.8
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 2025-01-06,9.2,82.9,3.8,46.8,984.1,35.3,9.9
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 2025-01-10,2.6,85.2,3.7,21.6,1016.8,28.5,34.9
 2025-01-11,0.3,90.7,0.1,10.8,1026.7,23.3,38.3
 2025-01-12,1.9,88.9,0.1,10.8,1038.4,38.7,21.5
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 2025-01-28,7.9,80.7,1.5,25.2,989.7,40.5,17.3
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 2025-02-10,1.9,82.3,2.2,25.2,1025.2,7.8,29.2
-2025-02-11,3,93.1,10.5,25.2,1017.3,8.8,18.5
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 2025-02-20,6.3,83.1,0.8,19.1,1019.7,14.6,37.7
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