Answered: Python Use any dataset of your choice…

Engineering

Computer Science

Python Use any dataset of your choice How to print summary of your dataset without using pandas inbuilt function

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter3: Data Representation

Section: Chapter Questions

Problem 12VE

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In Python using pandas, one can find a specific row of data by, df[df['column'] == 'column value'] How can I create a python user defined function to find any row of data based on the column value? e.g. select_df_row('column_value') output: row of data specified by column value
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python function!: a function called popular_color with one parameter, of type dict[str, str] of names and favorite colors. The return type is a str and it is the most commonly occuring color. If two colors are tied for popularity, the first color shown will be picked.
In cell C18 type a VLOOKUP function to find the corresponding letter grade (from column D) for the name in A18. The table array parameter is the same as in B18. Type FALSE for the range lookup parameter. Copy the formula in C18 to C19:C22Notice this formula works correctly for all cells. Range lookup of FALSE means do an exact match on the lookup value whether or not the table array is sorted by its first column. In cell E11, type an IF function that compares the score in B11 with the minimum score to pass in A5. If the comparison value is true, display Pass. Otherwise, display Fail. Copy the formula in E11 to E12:E15. Did you use appropriate absolute and relative references so the formula copied properly? In cell F11, type an IF function that compares the grade in D11 with the letter F (type F). If these two are not equal, display Pass. Otherwise, display Fail. Copy the formula in F11 to F12:F15
Mdt ɔɔ 9Create the matrix (M) below using as little code as possible. You should use multiple built-in functions. M= 6.0000 19.5000 33.0000 6.0000 19.5000 33.0000 9.0000 9.0000 9.0000 9.0000 9.0000 9.0000 5.0000 -1.0000 -7.0000 5.0000 -1.0000 -7.0000 6.0000 19.5000 33.0000 6.0000 19.5000 33.0000 9.0000 9.0000 9.0000 9.0000 9.0000 9.0000 5.0000 -1.0000 -7.0000 5.0000 -1.0000 -7.0000 Now within the script use MATLAB commands to make the following changes to the matrix. Include comments in your script to separate the parts. a. Change the four numbers in the center of matrix M to one. b. Divide the bottom half of the matrix by 4. c. Multiply the top half of the matrix by 4. d. Delete the last column of the matrix. e. Create a new matrix C from first, third, and fifth column of the second and fourth rows of M. f. Sort each column of C in descending order. Calculate the following equation: 45 C* + C D=-
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The ispunc(x) function is applicable to both int data type. True False
Jupyter Notebook Fixed Income - Certicificate of Deposit (CD) - Compound Interest Schedule An interest-at-maturity CD earns interest at a compounding frequency, and pays principal plus all earned interest at maturity. Write a function, called CompoundInterestSchedule, that creates and returns a pandas DataFrame, where each row has: time (in years, an integer starting at 1), starting balance, interest earned, and ending balance, for an investment earning compoundedinterest. Use a for(or while) loop to create this table. The equation for theith year's ending balance is given by: Ei =Bi (1+r/f)f where: Ei is year i's ending balance Bi is year i's beginning balance (note: B1 is the amount of the initial investment (principal) r is the annual rate of interest (in decimal, e.g., 5% is .05) f is the number of times the interest rate compounds (times per year) The interest earned for a given year is Ei - Bi Note the term of the investment (in years) is not in the above equation; it is used…
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PYTHON *Make sure to include only the one function in your file and please explain where the variables come from and what they represent please. In this problem, you should write one function named get_highest_sum. This function should have one parameters, a 2D list of numeric values. This should should look at every pair of integers in each row, and return the highest sum. For instance, the code: grid = [[5, 4, 3, 2, 1], [7, 2, 9, 1, 2, 0, 9, 9], [1, 2, 1, 2, 0]] result = get_highest_sum(grid) print(result) Should print 18 Due to the 9 next to another 9 on the second row.
CPP MUST MATCH OUTPUT IN PICS thank you for the help please match up In this lab, you're going to be working with partially filled arrays that are parallel with each other. That means that the row index in multiple arrays identifies different pieces of data for the same person. This is a simple payroll system that just calculates gross pay given a set of employees, hours worked for the week and hourly rate. Parallel Arrays First, you have to define several arrays in your main program employee names for each employee hourly pay rate for each employee total hours worked for each employee gross pay for each employee You can use a global SIZE of 50 to initialize these arrays Second, you will need a two dimension (2-D) array to record the hours worked each day for an employee. The number of rows for the 2-D array should be the same as the arrays above since each row corresponds to an employee. The number of columns represents days of the week (7 last I looked) Functions Needed In this…
With the help of c++, write a code that permits a user to input the surnames of 5 students. A function should also be written to arrange the surnames in ascending order and also in descending order as the output. Lastly a function should also be written to permit the user to input his or her surname and his or her index should be returned if found