"""Tаsk (30 pts tоtаl)-------------------Given а mоck sales DataFrame `SALES`, cоmplete the CSV read/load task with all column labels retained.""" SALES = pd.DataFrame( { "date": ["2025-09-28", "2025-09-28", "2025-09-29", "2025-09-30", "2025-10-01", "2025-10-01", "2025-10-02", "2025-10-02"], "customer": ["Alice", "Bob", "Alice", "Dana", "Eli", "Bob", "Faye", "Charlie"], "item": ["coffee", "tea", "cake", "coffee", "sandwich", "coffee", "tea", "cake"], "price": [3.50, 2.25, 4.00, 3.50, 6.75, 3.50, 2.25, 4.00], "quantity": [2, 3, 1, 4, 2, 1, 5, 2], "store": ["S1", "S1", "S2", "S1", "S2", "S1", "S2", "S2"], "region": ["West", "West", "West", "West", "East", "West", "East", "East"], }) CSV_PATH = "CIS_404_Exam_Exam3_sales.csv" # (1) Save the DataFrame to CSV: 10pts"""Save the given DataFrame `SALES` to a CSV file located at `CSV_PATH`.Your output file must: - ONLY include all column labels, - use semicolon (;) as the field separator, - and otherwise follow the default argument options.""" # TODO: implementraise NotImplementedError # (2) Read the DataFrame back from CSV: 10pts"""Read the CSV file located at `CSV_PATH` into a new DataFrame named `SALES_readback`.Your read statement must: - correctly read the file that was just saved, - use semicolon (;) as the field separator, - and otherwise follow the default argument options.After reading, you should ensure that the columns in `SALES_readback`match the columns in the original `SALES` DataFrame.""" # TODO: implementraise NotImplementedError # testing: # (please comment in)# print("Read back from CIS_404_Exam_Exam3_sales.csv:n", SALES_readback, "n") # assert list(SALES_readback.columns) == list(SALES.columns), "Column labels differ." # (3) Single .loc / .iloc expression: 10pts"""Use a single expression with .loc or .iloc to SELECT FROM `SALES_readback`: - rows 2 through 5 (inclusive of 2 and exclusive of 6) - the columns 'customer', 'item', 'price' in that order.Assign the result to a variable named `SALES_subset`.""" # TODO: implementraise NotImplementedError # testing: # (please comment in)# print("Subset:n", SALES_subset, "n")
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The cоnclusiоn оf this module included reviewing а reseаrch pаper related to high-intensity interval training. During-exercise pleasure for autonomous HIIT was greater than during-exercise pleasure for varied HIIT.