Homework3

Leon_Submissions/Homework3.py

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+# Question 8: It assumes that the CSV file being read 
+# (tomato_sales_error.csv) has a column named "Tomato_Sales." 
+# If the column doesn't exist in the CSV file or if there is an issue 
+# with the file itself, an error will be raised.
+
+# Question 9: 
+import pandas as pd
+
+def read_tomato_sales(file_name):
+    data = pd.read_csv(file_name)
+
+    # Ensure required columns exist
+    required_columns = ["Store", "Region", "Tomato_Sales"]
+    missing_columns = set(required_columns) - set(data.columns)
+    if missing_columns:
+        raise ValueError(f"Invalid CSV format: Missing columns: {', '.join(missing_columns)}")
+
+    # Validate Tomato_Sales column
+    tomato_sales = data["Tomato_Sales"]
+    if not tomato_sales.dtype == int and not tomato_sales.dtype == float:
+        raise ValueError("Invalid CSV format: 'Tomato_Sales' column must contain numerical values.")
+
+    # Calculate total tomato sales
+    total_sales = tomato_sales.sum()
+    print(f"Total tomato sales: {total_sales}")
+
+# Question 10: Bytes represent raw binary data, while strings represent 
+# textual data. Using bytes allows us to handle various character 
+# encodings. By working with bytes, we can ensure that the data remains in 
+# its raw encoded form, allowing for accurate handling of different 
+# encodings.