elisaklunder commited on
Commit
09afa32
·
1 Parent(s): 7d43de4
predictions_history.csv CHANGED
@@ -59,16 +59,6 @@ O3,2025-03-17,2025-03-19,33.902081716854376
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- O3,2025-03-19,2025-03-20,14.19915504166628
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- NO2,2025-03-19,2025-03-22,-0.0935552468181555
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  O3,2025-03-18,2025-03-19,24.34677204803371
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  NO2,2025-03-18,2025-03-19,24.214191960527593
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  O3,2025-03-18,2025-03-20,7.97083270245124
 
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  NO2,2025-03-17,2025-03-19,17.035250016088494
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  O3,2025-03-17,2025-03-20,56.13338974244566
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  NO2,2025-03-17,2025-03-20,34.74925137364262
 
 
 
 
 
 
 
 
 
 
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  O3,2025-03-18,2025-03-19,24.34677204803371
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  NO2,2025-03-18,2025-03-19,24.214191960527593
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  O3,2025-03-18,2025-03-20,7.97083270245124
predictions_historyold.csv DELETED
@@ -1,215 +0,0 @@
1
- pollutant,date_predicted,date,prediction_value
2
- O3,2025-03-07,2025-03-10,29.12736491827365
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- NO2,2025-03-07,2025-03-10,32.17283746918274
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- O3,2025-03-10,2025-03-13,44.27364918273649
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- O3,2025-03-11,2025-03-12,29.27364918273649
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- O3,2025-03-14,2025-03-16,35.28374691827365
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- O3,2025-03-15,2025-03-16,32.17283746918274
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95
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src/random_noise.py DELETED
@@ -1,37 +0,0 @@
1
- import pandas as pd
2
- import random
3
-
4
- # Replace 'your_data.csv' with the path to your CSV file
5
- input_csv = 'predictions_history.csv'
6
- output_csv = 'predictions_history_noisy.csv'
7
-
8
- df = pd.read_csv(input_csv)
9
-
10
- # Convert date_predicted to datetime for easier filtering
11
- df['date_predicted'] = pd.to_datetime(df['date_predicted'])
12
-
13
- # Define filter range
14
- start_date = pd.to_datetime("2025-03-10")
15
- end_date = pd.to_datetime("2025-03-18")
16
-
17
- # Boolean mask to identify rows where date_predicted is between 2025-03-10 and 2025-03-18
18
- mask = (df['date_predicted'] >= start_date) & (df['date_predicted'] <= end_date)
19
-
20
- # Function to add noise based on pollutant
21
- def add_noise(row):
22
- if row['pollutant'] == 'O3':
23
- # Random noise in the range [-10, 10]
24
- noise = random.uniform(-10, 10)
25
- else: # NO2
26
- # Random noise in the range [-5, 5]
27
- noise = random.uniform(-5, 5)
28
- row['prediction_value'] += noise
29
- return row
30
-
31
- # Apply noise only to the rows within the date_predicted range
32
- df.loc[mask] = df.loc[mask].apply(add_noise, axis=1)
33
-
34
- # Save results to a new CSV
35
- df.to_csv(output_csv, index=False)
36
-
37
- print(f"Noise has been added. Modified data saved to {output_csv}.")