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Using the Pandas DataFrame below, compute a new DataFrame th…
Using the Pandas DataFrame below, compute a new DataFrame that contains: (a) A column named “total_sales”, showing the total sales (sales) for each city and product. (b) A column named “av_quantity”, showing the average number of items sold (quantity) for each city and product. Include only the rows where both the total sales exceed $400 and the average quantity sold is greater than 5. The output DataFrame should have columns: “city”, “product”, “total_sales” and “av_quantity”. city date sales quantity product0 New York 2023-05-10 450.50 10 ProductX1 Chicago 2023-05-11 350.00 5 ProductY2 New York 2023-05-12 275.00 8 ProductX3 Chicago 2023-05-12 320.75 12 ProductX4 Boston 2023-05-12 300.25 4 ProductY5 Chicago 2023-05-13 510.40 7 ProductZ6 Boston 2023-05-13 399.95 6 ProductX7 New York 2023-05-14 300.00 15 ProductX8 Boston 2023-05-14 550.75 2 ProductY Here is the expected output: city product total_sales av_quantity4 Chicago ProductZ 510.4 7.05 New York ProductX 1025.5 11.0
Using the Pandas DataFrame below, compute a new DataFrame th…
Questions
Using the Pаndаs DаtaFrame belоw, cоmpute a new DataFrame that cоntains: (a) A column named "total_sales", showing the total sales (sales) for each city and product. (b) A column named "av_quantity", showing the average number of items sold (quantity) for each city and product. Include only the rows where both the total sales exceed $400 and the average quantity sold is greater than 5. The output DataFrame should have columns: "city", "product", "total_sales" and "av_quantity". city date sales quantity product0 New York 2023-05-10 450.50 10 ProductX1 Chicago 2023-05-11 350.00 5 ProductY2 New York 2023-05-12 275.00 8 ProductX3 Chicago 2023-05-12 320.75 12 ProductX4 Boston 2023-05-12 300.25 4 ProductY5 Chicago 2023-05-13 510.40 7 ProductZ6 Boston 2023-05-13 399.95 6 ProductX7 New York 2023-05-14 300.00 15 ProductX8 Boston 2023-05-14 550.75 2 ProductY Here is the expected output: city product total_sales av_quantity4 Chicago ProductZ 510.4 7.05 New York ProductX 1025.5 11.0
Dаmiоn recently did аn updаte tо his cоmputer and added a new video card. After the update, Damion decided that he would like to play his favorite game. While he was playing the game, the system locked up. He restarted the computer and did not have any issues until he tried to play the same game, at which point, the computer locked up again. What might be the problem with Damion’s computer? (Select all that apply.)