For this task, save your work in statspeak.py As we have seen in lecture, a class provides a means to make code and data live (conceptually) in the same place. For this task, you'll implement a class DataFrame that maintains a collection of data items inside self.items, which you keep as a list of floats, and provides the following operations: 1. Upon creation (remember that _init___ function?), the collection is empty. 2. A class method def add(self, x) will add either x or the members of x to the list self.items. Here x is one of the following: (1) a number, (2) a list, or (3) a tuple. If x is a number, it is added to the list directly. If x is a list or a tuple, its members are individually added to the list.
For this task, save your work in statspeak.py As we have seen in lecture, a class provides a means to make code and data live (conceptually) in the same place. For this task, you'll implement a class DataFrame that maintains a collection of data items inside self.items, which you keep as a list of floats, and provides the following operations: 1. Upon creation (remember that _init___ function?), the collection is empty. 2. A class method def add(self, x) will add either x or the members of x to the list self.items. Here x is one of the following: (1) a number, (2) a list, or (3) a tuple. If x is a number, it is added to the list directly. If x is a list or a tuple, its members are individually added to the list.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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
Transcribed Image Text:For this task, save your work in statspeak.py
As we have seen in lecture, a class provides a means to make code and data live (conceptually) in the
same place. For this task, you'll implement a class DataFrame that maintains a collection of data items
inside self.items, which you keep as a list of floats, and provides the following operations:
1. Upon creation (remember that __init___ function?), the collection is empty.
2. A class method def add(self, x) will add either x or the members of x to the list self.items.
Here x is one of the following: (1) a number, (2) a list, or (3) a tuple. If x is a number, it is added
to the list directly. If x is a list or a tuple, its members are individually added to the list.
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