diff --git a/data/sensor_data_results.csv b/data/sensor_data_results.csv new file mode 100644 index 000000000..7ff586738 --- /dev/null +++ b/data/sensor_data_results.csv @@ -0,0 +1,1000 @@ +sensor,status +Sensor 1 at ibadan, Unsafe +Sensor 2 at ibadan, Unsafe +Sensor 3 at ibadan, Unsafe +Sensor 4 at ibadan, Unsafe +Sensor 5 at ibadan, Unsafe +Sensor 6 at ibadan, Unsafe +Sensor 7 at ibadan, Unsafe +Sensor 8 at ibadan, Unsafe +Sensor 9 at ibadan, Unsafe +Sensor 10 at ibadan, Unsafe +Sensor 11 at ibadan, Unsafe +Sensor 12 at ibadan, Unsafe +Sensor 13 at ibadan, Unsafe +Sensor 14 at ibadan, Unsafe +Sensor 15 at ibadan, Unsafe +Sensor 16 at ibadan, Unsafe +Sensor 17 at ibadan, Unsafe +Sensor 18 at ibadan, Unsafe +Sensor 19 at ibadan, Unsafe +Sensor 20 at ibadan, Unsafe +Sensor 21 at ibadan, Unsafe +Sensor 22 at ibadan, Unsafe +Sensor 23 at ibadan, Unsafe +Sensor 24 at ibadan, Unsafe +Sensor 25 at ibadan, Unsafe +Sensor 26 at ibadan, Unsafe +Sensor 27 at ibadan, Unsafe +Sensor 28 at ibadan, Unsafe +Sensor 29 at ibadan, Unsafe +Sensor 30 at ibadan, Unsafe +Sensor 31 at ibadan, Unsafe +Sensor 32 at ibadan, Unsafe +Sensor 33 at ibadan, Unsafe +Sensor 34 at ibadan, Unsafe +Sensor 35 at ibadan, Unsafe +Sensor 36 at ibadan, Unsafe +Sensor 37 at ibadan, Unsafe +Sensor 38 at ibadan, Unsafe +Sensor 39 at ibadan, Unsafe +Sensor 40 at ibadan, Unsafe +Sensor 41 at ibadan, Unsafe +Sensor 42 at ibadan, Unsafe +Sensor 43 at ibadan, Unsafe +Sensor 44 at ibadan, Unsafe +Sensor 45 at ibadan, Unsafe +Sensor 46 at ibadan, Unsafe +Sensor 47 at ibadan, Safe +Sensor 48 at ibadan, Safe +Sensor 49 at ibadan, Unsafe +Sensor 50 at ibadan, Unsafe +Sensor 51 at ibadan, Unsafe +Sensor 52 at ibadan, Unsafe +Sensor 53 at ibadan, Unsafe +Sensor 54 at ibadan, Unsafe +Sensor 55 at ibadan, Unsafe +Sensor 56 at ibadan, Unsafe +Sensor 57 at ibadan, Unsafe +Sensor 58 at ibadan, Unsafe +Sensor 59 at ibadan, Unsafe +Sensor 60 at ibadan, Unsafe +Sensor 61 at ibadan, Unsafe +Sensor 62 at ibadan, Unsafe +Sensor 63 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Unsafe +Sensor 198 at ibadan, Unsafe +Sensor 199 at ibadan, Unsafe +Sensor 200 at ibadan, Unsafe +Sensor 201 at ibadan, Unsafe +Sensor 202 at ibadan, Unsafe +Sensor 203 at ibadan, Unsafe +Sensor 204 at ibadan, Unsafe +Sensor 205 at ibadan, Unsafe +Sensor 206 at ibadan, Unsafe +Sensor 207 at ibadan, Unsafe +Sensor 208 at ibadan, Unsafe +Sensor 209 at ibadan, Unsafe +Sensor 210 at ibadan, Unsafe +Sensor 211 at ibadan, Unsafe +Sensor 212 at ibadan, Unsafe +Sensor 213 at ibadan, Unsafe +Sensor 214 at ibadan, Unsafe +Sensor 215 at ibadan, Unsafe +Sensor 216 at ibadan, Unsafe +Sensor 217 at ibadan, Unsafe +Sensor 218 at ibadan, Unsafe +Sensor 219 at ibadan, Unsafe +Sensor 220 at ibadan, Unsafe +Sensor 221 at ibadan, Unsafe +Sensor 222 at ibadan, Unsafe +Sensor 223 at ibadan, Unsafe +Sensor 224 at ibadan, Unsafe +Sensor 225 at ibadan, Unsafe +Sensor 226 at ibadan, Unsafe +Sensor 227 at ibadan, Unsafe +Sensor 228 at ibadan, Unsafe +Sensor 229 at ibadan, Unsafe +Sensor 230 at ibadan, Unsafe 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Unsafe +Sensor 298 at ibadan, Unsafe +Sensor 299 at ibadan, Unsafe +Sensor 300 at ibadan, Unsafe +Sensor 301 at ibadan, Unsafe +Sensor 302 at ibadan, Unsafe +Sensor 303 at ibadan, Unsafe +Sensor 304 at ibadan, Unsafe +Sensor 305 at ibadan, Unsafe +Sensor 306 at ibadan, Unsafe +Sensor 307 at ibadan, Unsafe +Sensor 308 at ibadan, Unsafe +Sensor 309 at ibadan, Unsafe +Sensor 310 at ibadan, Unsafe +Sensor 311 at ibadan, Unsafe +Sensor 312 at ibadan, Unsafe +Sensor 313 at ibadan, Unsafe +Sensor 314 at ibadan, Unsafe +Sensor 315 at ibadan, Unsafe +Sensor 316 at ibadan, Unsafe +Sensor 317 at ibadan, Unsafe +Sensor 318 at ibadan, Unsafe +Sensor 319 at ibadan, Unsafe +Sensor 320 at ibadan, Unsafe +Sensor 321 at ibadan, Unsafe +Sensor 322 at ibadan, Unsafe +Sensor 323 at ibadan, Unsafe +Sensor 324 at ibadan, Unsafe +Sensor 325 at ibadan, Unsafe +Sensor 326 at ibadan, Unsafe +Sensor 327 at ibadan, Unsafe +Sensor 328 at ibadan, Unsafe +Sensor 329 at ibadan, Unsafe +Sensor 330 at ibadan, Unsafe 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Unsafe +Sensor 498 at ibadan, Unsafe +Sensor 499 at ibadan, Unsafe +Sensor 500 at ibadan, Unsafe +Sensor 501 at ibadan, Unsafe +Sensor 502 at ibadan, Unsafe +Sensor 503 at ibadan, Unsafe +Sensor 504 at ibadan, Unsafe +Sensor 505 at ibadan, Unsafe +Sensor 506 at ibadan, Unsafe +Sensor 507 at ibadan, Unsafe +Sensor 508 at ibadan, Unsafe +Sensor 509 at ibadan, Unsafe +Sensor 510 at ibadan, Unsafe +Sensor 511 at ibadan, Unsafe +Sensor 512 at ibadan, Unsafe +Sensor 513 at ibadan, Unsafe +Sensor 514 at ibadan, Unsafe +Sensor 515 at ibadan, Unsafe +Sensor 516 at ibadan, Unsafe +Sensor 517 at ibadan, Unsafe +Sensor 518 at ibadan, Unsafe +Sensor 519 at ibadan, Unsafe +Sensor 520 at ibadan, Unsafe +Sensor 521 at ibadan, Unsafe +Sensor 522 at ibadan, Unsafe +Sensor 523 at ibadan, Unsafe +Sensor 524 at ibadan, Unsafe +Sensor 525 at ibadan, Unsafe +Sensor 526 at ibadan, Unsafe +Sensor 527 at ibadan, Unsafe +Sensor 528 at ibadan, Unsafe +Sensor 529 at ibadan, Unsafe +Sensor 530 at ibadan, Unsafe 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564 at ibadan, Unsafe +Sensor 565 at ibadan, Unsafe +Sensor 566 at ibadan, Unsafe +Sensor 567 at ibadan, Unsafe +Sensor 568 at ibadan, Unsafe +Sensor 569 at ibadan, Unsafe +Sensor 570 at ibadan, Unsafe +Sensor 571 at ibadan, Unsafe +Sensor 572 at ibadan, Unsafe +Sensor 573 at ibadan, Unsafe +Sensor 574 at ibadan, Unsafe +Sensor 575 at ibadan, Unsafe +Sensor 576 at ibadan, Unsafe +Sensor 577 at ibadan, Unsafe +Sensor 578 at ibadan, Unsafe +Sensor 579 at ibadan, Unsafe +Sensor 580 at ibadan, Unsafe +Sensor 581 at ibadan, Unsafe +Sensor 582 at ibadan, Unsafe +Sensor 583 at ibadan, Unsafe +Sensor 584 at ibadan, Unsafe +Sensor 585 at ibadan, Unsafe +Sensor 586 at ibadan, Unsafe +Sensor 587 at ibadan, Unsafe +Sensor 588 at ibadan, Unsafe +Sensor 589 at ibadan, Unsafe +Sensor 590 at ibadan, Unsafe +Sensor 591 at ibadan, Unsafe +Sensor 592 at ibadan, Unsafe +Sensor 593 at ibadan, Unsafe +Sensor 594 at ibadan, Unsafe +Sensor 595 at ibadan, Unsafe +Sensor 596 at ibadan, Unsafe +Sensor 597 at 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Unsafe +Sensor 998 at ibadan, Unsafe +Sensor 999 at ibadan, Unsafe diff --git a/src/__pycache__/clean_data.cpython-311.pyc b/src/__pycache__/clean_data.cpython-311.pyc new file mode 100644 index 000000000..c0b0d4931 Binary files /dev/null and b/src/__pycache__/clean_data.cpython-311.pyc differ diff --git a/src/__pycache__/evaluate.cpython-311.pyc b/src/__pycache__/evaluate.cpython-311.pyc new file mode 100644 index 000000000..8106ec711 Binary files /dev/null and b/src/__pycache__/evaluate.cpython-311.pyc differ diff --git a/src/__pycache__/load_data.cpython-311.pyc b/src/__pycache__/load_data.cpython-311.pyc new file mode 100644 index 000000000..c1dcf168f Binary files /dev/null and b/src/__pycache__/load_data.cpython-311.pyc differ diff --git a/src/clean_data.py b/src/clean_data.py index da613640a..fc5becc47 100644 --- a/src/clean_data.py +++ b/src/clean_data.py @@ -1,7 +1,27 @@ +import pandas as pd +from load_data import load_csv def clean_sensor_data(df: pd.DataFrame) -> pd.DataFrame: """ Clean sensor data by handling missing or invalid values. Returns: pd.DataFrame: Cleaned data. + """ +# Drop rows with any missing values + df = df.dropna() + + # Convert timestamp column to datetime + df['timestamp'] = pd.to_datetime(df['timestamp'], errors='coerce') + df = df.dropna(subset=['timestamp']) # drop if timestamp conversion failed + + # Ensure numeric columns are non-negative + numeric_cols = ['pH', 'turbidity', 'dissolved_oxygen', 'temperature'] + for col in numeric_cols: + df = df[df[col] >= 0] + + #reset index after cleaning + df = df.reset_index(drop=True) + + return df + diff --git a/src/evaluate.py b/src/evaluate.py index 006256224..00fdc4423 100644 --- a/src/evaluate.py +++ b/src/evaluate.py @@ -1,3 +1,5 @@ +import pandas as pd + class WaterQualityEvaluator: def __init__(self, ph_range=(6.5, 8.5), turbidity_threshold=1.0): self.ph_range = ph_range @@ -7,3 +9,28 @@ def is_safe(self, row: pd.Series) -> bool: """ Determine if a row of water data is safe. """ + if pd.isna(row.get("pH")) or pd.isna(row.get("turbidity")): + return False + + return ( + self.ph_range[0] <= row["pH"] <= self.ph_range[1] + and row["turbidity"] <= self.turbidity_threshold + ) + + def evaluate(self, df: pd.DataFrame) -> pd.DataFrame: + """ + Evaluate safety of each row and return a DataFrame with results. + """ + results = [] + + for i, row in df.iterrows(): + location = row.get("location") if pd.notna(row.get("location")) else "Unknown" + sensor_label = f"Sensor {i + 1} at {location}" + status = " Safe" if self.is_safe(row) else " Unsafe" + results.append({"sensor": sensor_label, "status": status}) + + results_df = pd.DataFrame(results) + return results_df + + + diff --git a/src/load_data.py b/src/load_data.py index c0126703a..686efc569 100644 --- a/src/load_data.py +++ b/src/load_data.py @@ -1,4 +1,7 @@ -def load_csv(filepath: str) -> pd.DataFrame: +import pandas as pd + + +def load_csv(filepath: str): """ Load sensor data from a CSV file. @@ -8,3 +11,7 @@ def load_csv(filepath: str) -> pd.DataFrame: Returns: pd.DataFrame: Loaded data as a pandas DataFrame. """ + df = pd.read_csv(filepath) + return(df) + + diff --git a/src/main.py b/src/main.py index e69de29bb..153db47d9 100644 --- a/src/main.py +++ b/src/main.py @@ -0,0 +1,66 @@ +from load_data import load_csv +from clean_data import clean_sensor_data +from evaluate import WaterQualityEvaluator +import pandas as pd + +def show_menu(): + print("\nšŸŒŠ Water Quality Monitoring Menu") + print("1. Load and view raw sensor data") + print("2. Clean data (handle missing/invalid)") + print("3. Evaluate water safety and save results") + print("4. Exit") + +# Session variables +raw_df = None +cleaned_df = None +results_df = None +data_path = None + +while True: + show_menu() + choice = input("\nEnter your choice (1-4): ").strip() + + if choice == "1": + data_path = input(" Enter full path to the sensor data CSV file: ").strip() + try: + raw_df = load_csv(data_path) + print("\n Raw Sensor Data Preview:") + print(raw_df.head()) + except FileNotFoundError: + print("āŒ File not found. Please check the path and try again.") + + elif choice == "2": + if raw_df is None: + print("āš ļø Please load the raw data first (Option 1).") + else: + cleaned_df = clean_sensor_data(raw_df) + print("\nāœ… Cleaned Data Preview:") + print(cleaned_df.head()) + + elif choice == "3": + if cleaned_df is None: + print(" Please clean the data first (Option 2).") + else: + location = input("šŸ“ Enter the location name for this data (e.g., 'Lake A'): ").strip() + cleaned_df["location"] = location # Add location to the DataFrame + + evaluator = WaterQualityEvaluator() + results_df = evaluator.evaluate(cleaned_df) + + print("\nšŸ“‹ Evaluation Results:") + for _, row in results_df.iterrows(): + print(f"{row['sensor']}: {row['status']}") + + # Save to CSV + save_path = "results.csv" if not data_path else data_path.replace(".csv", "_results.csv") + results_df.to_csv(save_path, index=False) + print(f"šŸ’¾ Results saved to {save_path}") + + + + elif choice == "4": + print("šŸ‘‹ Exiting. Stay hydrated!") + break + + else: + print("āŒ Invalid choice. Please enter a number between 1 and 4.")