ENSF592- Assignment 4 Solved

Learning Outcomes
 Create multi-dimensional arrays using NumPy
Validate user input through exception handling
Use dictionaries to store and search for values
Process data according to specifications
Manipulate NumPy arrays
Determine and execute NumPy array computations
 💻 Program Specifications
 The City of Calgary publishes data on various demographics, include school enrollment. You are being asked to design a terminal-based application for computing and printing statistics based on given input. Your application must meet the following design specifications:

 Your final output should match the given examples (see attached screenshots)
Stage 1: Array Creation
 Create a 3-dimensional array using the provided high school enrollment data. You must use a NumPy array.
Print the shape and dimensions of the array.
 Stage 2: School Stats
 Prompt the user to enter either the name or numerical code of a school. If the name or code do not exist within the given data, raise a ValueError to print “You must enter a valid school name or code.”
Calculate and print the answers for the following school-specific statistics, using the given output as a template.The school name and school code
Mean enrollment for Grade 10 across all years
Mean enrollment for Grade 11 across all years
Mean enrollment for Grade 12 across all years
Highest enrollment for a single grade within the entire time period
Lowest enrollment for a single grade within the entire time period
Total enrollment for each year from 2013 to 2020
Education planners want to better understand the impact of large-scale classes in high schools. Determine if any enrollment numbers were over 500. If not, print “No enrollments over 500.” If yes, print the median value of the >500 enrollments.
 Stage 3: General Stats
 Every run of your program should also calculate and print the answers for the following general statistics. These will be the same for every run.The mean enrollment in 2013
The mean enrollment in 2020
Total graduating class of 2020 across all schools
Highest enrollment for a single grade within the entire time period (across all schools)
Lowest enrollment for a single grade within the entire time period (across all schools)
 Your code should include and use at least one 3-dimensional NumPy array, at least one subarray view, at least four different NumPy computational functions, at least one masking operation, and at least one dictionary.
Your code must follow the conventions discussed so far in the course (nameswithunderscores, ClassNames, four spaces for indentations, spaces between variables/operators, comments throughout, etc.)
All classes, methods, and functions must contain docstring documentation.For each class, include a functionality summary and describe any class and/or instance variables (do not include a separate docstring for __init__)
For each method/function, include a functionality summary and describe parameters and return values (or specify if there are none)
Main functions do not need a docstring but should be well-commented
Your code will be run by the TAs as your end user.
FAQs about the assignment will be answered on the D2L discussion boards. Please check the boards for any clarifications before submitting.
The grading rubric will be posted to D2L.
 📝 Assignment Tasks
 Make sure to watch video lessons 15 - 17, labs 6 and 7, and review the corresponding Jupyter Notebooks.
Clone this repository to your local computer.
Open VSCode and start a new terminal. Make sure that your ensf592 environment is activated.
school_data.py is provided as a starting point. Fill in the header with your own information.
Remember to test your program execution via the terminal: python school_data.py
Take a screenshot of your successful program run and upload it to your assignment repository.
Commit your screenshot and code.
Push your local git history to github: git push origin main