Question

import csv # Open the CSV file with open('cereal.csv', 'r') as csvfile: reader = csv.DictReader(csvfile) # Initialize variables to store the lowest fat cereal and highest calorie cereal lowest_fat_cereal = None highest_calorie_cereal = None # Loop through each row in the CSV file for row in reader: # Convert the fat and calories values to floats fat = float(row['fat']) calories = float(row['calories']) # Check if this cereal has the lowest fat so far if lowest_fat_cereal is None or fat < lowest_fat_cereal['fat']: lowest_fat_cereal = row # Check if this cereal has the highest calories so far if highest_calorie_cereal is None or calories > highest_calorie_cereal['calories']: highest_calorie_cereal = row # Print the results print("Lowest fat cereal: {}".format(lowest_fat_cereal['name'])) print("Cereal with highest calories: {}".format(highest_calorie_cereal['name'])) 

          import csv
# Open the CSV file
with open('cereal.csv', 'r') as csvfile:
    reader = csv.DictReader(csvfile)

# Initialize variables to store the lowest fat cereal and highest calorie cereal
lowest_fat_cereal = None
highest_calorie_cereal = None

# Loop through each row in the CSV file
for row in reader:
    # Convert the fat and calories values to floats
    fat = float(row['fat'])
    calories = float(row['calories'])

    # Check if this cereal has the lowest fat so far
    if lowest_fat_cereal is None or fat < lowest_fat_cereal['fat']:
        lowest_fat_cereal = row

    # Check if this cereal has the highest calories so far
    if highest_calorie_cereal is None or calories > highest_calorie_cereal['calories']:
        highest_calorie_cereal = row

# Print the results
print("Lowest fat cereal: {}".format(lowest_fat_cereal['name']))
print("Cereal with highest calories: {}".format(highest_calorie_cereal['name']))
Show more…
import csv # Open the CSV file with open('cereal.csv', 'r') as csvfile: reader = csv.DictReader(csvfile) # Initialize variables to store the lowest fat cereal and highest calorie cereal lowestfatcereal = None highestcaloriecereal = None # Loop through each row in the CSV file for row in reader: # Convert the fat and calories values to floats fat = float(row['fat']) calories = float(row['calories']) # Check if this cereal has the lowest fat so far if lowestfatcereal is None or fat < lowestfatcereal['fat']: lowestfatcereal = row # Check if this cereal has the highest calories so far if highestcaloriecereal is None or calories > highestcaloriecereal['calories']: highestcaloriecereal = row # Print the results print("Lowest fat cereal: ".format(lowestfatcereal['name'])) print("Cereal with highest calories: ".format(highestcaloriecereal['name']))

Added by David W.

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Computer Science and Information Technology
Computer Science and Information Technology
Trishna Knowledge Systems 2018 Edition
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Homework #9 : Process CSV files for Cereal AnalysisAttached Files:cereal.csv (5.032 KB)Read in the cereal.csv file using the CSV module methods you learned this week and find the following information:1) What is the lowest fat cereal?2) What cereal has the highest calories?Just print this information to the screen.Make sure your program converts each element to the appropriate data type. The data types are provided in the file. I WROTE THE CODE FOR THIS ASSIGNMENT BUT I AM GETTING AN ERROR AND i AM NOT SURE WHYHERE IS MY CODEERROR MESSAGETraceback (most recent call last):File "C:Users massOneDrive - University of Houston-Clear LakeDocumentsUHCLSpring 2023 UHCL ClassesITEC 3312 - Scripting 2HomeworkHomework 9 - Process CSV files for Cereal AnalysisHomework 9 - Process CSV files for Cereal Analysis.py", line 15, in <module>fat = int(row[1])KeyError: 1 I have been tweaking the fat variable around to change it but I am still getting the error and I am not sure whyHERE IS THE CEREAL.CSV FILEname;mfr;type;calories;protein;fat;sodium;fiber;carbo;sugars;potass;vitamins;shelf;weight;cups;ratingString;Categorical;Categorical;Int;Int;Int;Int;Float;Float;Int;Int;Int;Int;Float;Float;Float100% Bran;N;C;70;4;1;130;10;5;6;280;25;3;1;0.33;68.402973 100% Natural Bran;Q;C;120;3;5;15;2;8;8;135;0;3;1;1;33.983679 All-Bran;K;C;70;4;1;260;9;7;5;320;25;3;1;0.33;59.425505 All-Bran with Extra Fiber;K;C;50;4;0;140;14;8;0;330;25;3;1;0.5;93.704912 Almond Delight;R;C;110;2;2;200;1;14;8;-1;25;3;1;0.75;34.384843 Apple Cinnamon Cheerios;G;C;110;2;2;180;1.5;10.5;10;70;25;1;1;0.75;29.509541 Apple Jacks;K;C;110;2;0;125;1;11;14;30;25;2;1;1;33.174094 Basic 4;G;C;130;3;2;210;2;18;8;100;25;3;1.33;0.75;37.038562 Bran Chex;R;C;90;2;1;200;4;15;6;125;25;1;1;0.67;49.120253 Bran Flakes;P;C;90;3;0;210;5;13;5;190;25;3;1;0.67;53.313813 Cap'n'Crunch;Q;C;120;1;2;220;0;12;12;35;25;2;1;0.75;18.042851 Cheerios;G;C;110;6;2;290;2;17;1;105;25;1;1;1.25;50.764999 Cinnamon Toast Crunch;G;C;120;1;3;210;0;13;9;45;25;2;1;0.75;19.823573 Clusters;G;C;110;3;2;140;2;13;7;105;25;3;1;0.5;40.400208 Cocoa Puffs;G;C;110;1;1;180;0;12;13;55;25;2;1;1;22.736446 Corn Chex;R;C;110;2;0;280;0;22;3;25;25;1;1;1;41.445019 Corn Flakes;K;C;100;2;0;290;1;21;2;35;25;1;1;1;45.863324 Corn Pops;K;C;110;1;0;90;1;13;12;20;25;2;1;1;35.782791 Count Chocula;G;C;110;1;1;180;0;12;13;65;25;2;1;1;22.396513 Cracklin' Oat Bran;K;C;110;3;3;140;4;10;7;160;25;3;1;0.5;40.448772 Cream of Wheat (Quick);N;H;100;3;0;80;1;21;0;-1;0;2;1;1;64.533816 Crispix;K;C;110;2;0;220;1;21;3;30;25;3;1;1;46.895644 Crispy Wheat & Raisins;G;C;100;2;1;140;2;11;10;120;25;3;1;0.75;36.176196 Double Chex;R;C;100;2;0;190;1;18;5;80;25;3;1;0.75;44.330856 Froot Loops;K;C;110;2;1;125;1;11;13;30;25;2;1;1;32.207582 Frosted Flakes;K;C;110;1;0;200;1;14;11;25;25;1;1;0.75;31.435973 Frosted Mini-Wheats;K;C;100;3;0;0;3;14;7;100;25;2;1;0.8;58.345141 Fruit & Fibre Dates Walnuts and Oats; P;C;120;3;2;160;5;12;10;200;25;3;1.25;0.67;40.917047Fruitful Bran;K;C;120;3;0;240;5;14;12;190;25;3;1.33;0.67;41.015492 Fruity Pebbles;P;C;110;1;1;135;0;13;12;25;25;2;1;0.75;28.025765 Golden Crisp;P;C;100;2;0;45;0;11;15;40;25;1;1;0.88;35.252444 Golden Grahams;G;C;110;1;1;280;0;15;9;45;25;2;1;0.75;23.804043 Grape Nuts Flakes;P;C;100;3;1;140;3;15;5;85;25;3;1;0.88;52.076897 Grape-Nuts;P;C;110;3;0;170;3;17;3;90;25;3;1;0.25;53.371007 Great Grains Pecan;P;C;120;3;3;75;3;13;4;100;25;3;1;0.33;45.811716 Honey Graham Ohs;Q;C;120;1;2;220;1;12;11;45;25;2;1;1;21.871292 Honey Nut Cheerios;G;C;110;3;1;250;1.5;11.5;10;90;25;1;1;0.75;31.072217 Honey-comb;P;C;110;1;0;180;0;14;11;35;25;1;1;1.33;28.742414 Just Right Crunchy Nuggets;K;C;110;2;1;170;1;17;6;60;100;3;1;1;36.523683 Just Right Fruit & Nut;K;C;140;3;1;170;2;20;9;95;100;3;1.3;0.75;36.471512 Kix;G;C;110;2;1;260;0;21;3;40;25;2;1;1.5;39.241114 Life;Q;C;100;4;2;150;2;12;6;95;25;2;1;0.67;45.328074 Lucky Charms;G;C;110;2;1;180;0;12;12;55;25;2;1;1;26.734515 Maypo;A;H;100;4;1;0;0;16;3;95;25;2;1;1;54.850917 Muesli Raisins Dates & Almonds; R;C;150;4;3;95;3;16;11;170;25;3;1;1;37.136863 Muesli Raisins Peaches & Pecans;R;C;150;4;3;150;3;16;11;170;25;3;1;1;34.139765 Mueslix Crispy Blend;K;C;160;3;2;150;3;17;13;160;25;3;1.5;0.67;30.313351 Multi-Grain Cheerios;G;C;100;2;1;220;2;15;6;90;25;1;1;1;40.105965 Nut&Honey Crunch;K;C;120;2;1;190;0;15;9;40;25;2;1;0.67;29.924285 Nutri-Grain Almond-Raisin;K;C;140;3;2;220;3;21;7;130;25;3;1.33;0.67;40.692320 Nutri-grain Wheat;K;C;90;3;0;170;3;18;2;90;25;3;1;1;59.642837 Oatmeal Raisin Crisp;G;C;130;3;2;170;1.5;13.5;10;120;25;3;1.25;0.5;30.450843 Post Nat. Raisin Bran;P;C;120;3;1;200;6;11;14;260;25;3;1.33;0.67;37.840594 Product 19;K;C;100;3;0;320;1;20;3;45;100;3;1;1;41.503540 Puffed Rice;Q;C;50;1;0;0;0;13;0;15;0;3;0.5;1;60.756112 Puffed Wheat;Q;C;50;2;0;0;1;10;0;50;0;3;0.5;1;63.005645 Quaker Oat Squares;Q;C;100;4;1;135;2;14;6;110;25;3;1;0.5;49.511874 Quaker Oatmeal;Q;H;100;5;2;0;2.7;-1;-1;110;0;1;1;0.67;50.828392 Raisin Bran;K;C;120;3;1;210;5;14;12;240;25;2;1.33;0.75;39.259197 Raisin Nut Bran;G;C;100;3;2;140;2.5;10.5;8;140;25;3;1;0.5;39.703400 Raisin Squares;K;C;90;2;0;0;2;15;6;110;25;3;1;0.5;55.333142 Rice Chex;R;C;110;1;0;240;0;23;2;30;25;1;1;1.13;41.998933 Rice Krispies;K;C;110;2;0;290;0;22;3;35;25;1;1;1;40.560159 Shredded Wheat;N;C;80;2;0;0;3;16;0;95;0;1;0.83;1;68.235885 Shredded Wheat 'n'Bran;N;C;90;3;0;0;4;19;0;140;0;1;1;0.67;74.472949 Shredded Wheat spoon size;N;C;90;3;0;0;3;20;0;120;0;1;1;0.67;72.801787 Smacks;K;C;110;2;1;70;1;9;15;40;25;2;1;0.75;31.230054 Special K;K;C;110;6;0;230;1;16;3;55;25;1;1;1;53.131324 Strawberry Fruit Wheats;N;C;90;2;0;15;3;15;5;90;25;2;1;1;59.363993 Total Corn Flakes;G;C;110;2;1;200;0;21;3;35;100;3;1;1;38.839746 Total Raisin Bran;G;C;140;3;1;190;4;15;14;230;100;3;1.5;1;28.592785 Total Whole Grain;G;C;100;3;1;200;3;16;3;110;100;3;1;1;46.658844 Triples;G;C;110;2;1;250;0;21;3;60;25;3;1;0.75;39.106174 Trix;G;C;110;1;1;140;0;13;12;25;25;2;1;1;27.753301 Wheat Chex;R;C;100;3;1;230;3;17;3;115;25;1;1;0.67;49.787445 Wheaties;G;C;100;3;1;200;3;17;3;110;25;1;1;1;51.592193 Wheaties Honey Gold;G;C;110;2;1;200;1;16;8;60;25;1;1;0.75;36.187559 import csv # Open the CSV file with open('cereal.csv','r') as csvfile reader = csv.DictReader(csvfile) # Initialize variables to store the lowest fat cereal and highest calorie cereal lowest fat cereal = None highest calorie cereal = None # Loop through each row in the csv file for row in reader: # Convert the fat and calories values to floats fat= float(row['fat'l) calories = float(row('calories'l) # Check if this cereal has the lowest fat so far if lowest fat cereal is None or fat < lowest fat cereal['fat']: lowest fat cereal = row # Check if this cereal has the highest calories so far if highest_calorie_cereal is None or calories > highest_calorie_cereal['calories'] : highest calorie cereal = row # Print the results print("Lowest fat cereal: {}".format(lowest_fat_cereal['name'])) print("Cereal with highest calories: {}".format(highest calorie cereal['name']))
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Transcript

-
00:01 Hello students, based on the code i have made some modification to address the issue and improve the functionality.
00:10 So this is the updated code.
00:12 Here first the code starts by taking user input for the file name using an input function and stores in the variable of the file name.
00:25 So it first takes an user input as the enter the name and functions and stores the variables in the file name.
00:34 So next we will move to print the header.
00:38 So the header is printed using a print function with it is printed with a print function fine using a using with the format of percentage formatting syntax to align this will helps to align the columns fine.
00:58 So here i can see we are printing the header print print the header header.
01:10 So we are creating a columns of the name columns with its name as name hours and wages and also the total pay.
01:20 So after that now we will open our file.
01:24 We will open the file open the file open the file the with the with open method with open function the statement is used to open the file in read mode.
01:42 It is just used in only the read mode as the file and this ensures that the file is automatically closed when we are done with it fine when we are done with it...
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