Python, grades = {'Tom': [87,96,70], 'Sue': [100,87,90], 'Sam': [94,77,90], 'Katie': [100,81,82], 'Bob': [83, 65, 85]} Use the sort_values() method and ask user to enter values for all its three arguments Note: If you sort by rows, i.e., axis=0, the by argument has to be followed by the name of a student

Python, grades = {'Tom': [87,96,70], 'Sue': [100,87,90], 'Sam': [94,77,90], 'Katie': [100,81,82], 'Bob': [83, 65, 85]} Use the sort_values() method and ask user to enter values for all its three arguments Note: If you sort by rows, i.e., axis=0, the by argument has to be followed by the name of a student

EBK JAVA PROGRAMMING

9th Edition

ISBN:9781337671385

Author:FARRELL

Publisher:FARRELL

Chapter9: Advanced Array Concepts

Section: Chapter Questions

Problem 5RQ

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In Python, grades_dict = {'Wally': [87,96,70],                'Eva': [100,87,90],                'Sam': [94,77,90],                'Katie': [100,81,82],                'Bob': [83, 65, 85]} write your own describe function that produces thesame 8 statistical results, for each one of the columns, that the built-in describe() function does.Note 1: Use the sample standard deviation formula (that is, the denominator is: N-1)Note 2: Your algorithm should work for any number of columns not just for 5Note 3: You can use the np.percentile() for the 25% and 75% percentile as well as the sort()built-in functions
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In Python, grades = {'Tim': [87,96,70],                'Sue': [100,87,90],                'Jack': [94,77,90],                'Kevin': [100,81,82],                'Bart': [83, 65, 85]} Ask user to enter the names of the rows, i.e., indices. You can use: len(grades) to get the number of rows of the DataFrame. In addition, using the sort_index() method, ask user whether they wish to sort by rows or by columns and whether to sort in ascending or descending order (do not use any if-else statements) '''
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