Create a dataframe variable 'a' with this dataset. This dataframe should have all the 569 instances, 30 features and the class of 569 instances as 0 (Malignant) or 1 (Benign). The column that contains the classes should be labeled as 'typeofcancer'. Show the output of the following input: In [13]: ▸a.shape [Hints: the outputs should be same as below. Out [13] (569, 31) (b) Now create a dataframe variable ‘df' by slicing dataframe 'a'. The new dataframe 'df' should have all the instances, their labels but with the following three features: mean radius, mean perimeter and mean area. [Hints: use. iloc method to extract necessary columns from 'a'] (i) Show the first two rows. [Hint: The output should be same as below. Out [16]: 0 1 mean radius mean perimeter mean area typeofcancer 17.99 122.8 1001.0 20.57 132.9 1326.0 (ii) Show the rows with indexes 17, 18, 19, 20, 21. 0 0

Written in Python with docstring please if applicable Thank you

As the first step in writing an application for the local book store, we will design and implement a Book class that will define the data structure of the application. Each book has a name, author, type (paperback, hardback, magazine), integer ID and pageCount. Provide some data validation in the appropriate method to ensure that the ID and pageCount are not negative. Design and implement a Book class with separation, i.e., separate all functions and methods into both the prototype and an implementation below the main.  Provide constructor methods for Book(void), Book(name, author), and one for all components Book(name, author, type, ID, pageCount) Provide accessor (get and set) methods for each property as well as a display method. Provide data validation for the ID and pageCount in the appropriate methods. Provide a method to calculate the cost for buying books (with a 7.75% sales tax) according to the following chart:     Hardcover:        $29.95 per book    Paperback:…

The shape class variable is used to save the shape of the forestfire_df dataframe. Save the result to ff_shape. # TODO 1.1 ff_shape = print(f'The forest fire dataset shape is: {ff_shape}') todo_check([ (ff_shape == (517,13),'The shape recieved for ff_shape did not match the shape (517, 13)') ])

This is the information after the two pictures.     Also, your class should be placed in a namespace "cs_sequence". Here is an example of a simple client program, to give you an idea about how sequences might be used. You can also use this to test your class, but it's far from exhaustive. Keep in mind as you write your class that you should test each member function after you write it. int main() { Sequence s; for (int i = 0; i < 6; i++) { s.insert(i); } for (s.start(); s.is_item(); s.advance()) { cout << s.current() << " "; } cout << endl; } This client program will print the numbers 5 4 3 2 1 0. (They are backward because insert() inserts each new item at the front of the list.) Implementation We will be using the following implementation of type Sequence, which includes 5 data members. numItems. Stores the number of items in the Sequence. headPtr and tailPtr. The head and tail pointers of the linked list. If the Sequence has no items, then these pointers are…

Complete the rotate_text() function that takes 2 parameters, a string data and an integer n. If n is positive, then the function will shift all the characters in data forward by n positions, with characters at the end of the string being moved to the start of the string. If n is 0 then the text remains the same. For example: rotate_text('abcde', rotate_text('abcde', rotate_text('abcde', 1) would return the string 'eabcd' 3) would return the string 'cdeab' 5) would return the string 'abcde' rotate_text('abcde', 6) would return the string 'eabcd' ... and so on. If n is negative, then the function will shift the characters in data backward by n positions, with characters at the start of the string being moved to the end of the string. For example: rotate text('abcde', -1) would return the string 'bcdea'

Create an instance of the MovieDetails class called new_movie. Then, read three values from input into new_movie's attributes in the following order: year (int) duration (int) title (str)

Complete the docstring using the information attached (images):def upgrade_stations(threshold: int, num_bikes: int,                     stations: List["Station"]) -> int:    """Modify each station in stations that has a capacity that is less than    threshold by adding num_bikes to the capacity and bikes available counts.    Modify each station at most once.     Return the total number of bikes that were added to the bike share network.     Precondition: num_bikes >= 0     >>> handout_copy = [HANDOUT_STATIONS[0][:], HANDOUT_STATIONS[1][:]]    >>> upgrade_stations(25, 5, handout_copy)    5    >>> handout_copy[0] == HANDOUT_STATIONS[0]    True    >>> handout_copy[1] == [7001, 'Lower Jarvis St SMART / The Esplanade', \                            43.647992, -79.370907, 20, 10, 10]    True    """

how to add color to country 10]: Index(['Deaths Per 1000 ', 'Dates', 'Country'], dtype='object')No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when lege nd() is called with no argument.Deaths Per 1000 People (2005-2021)

Use an appropriate scikit-learn library we used in class to create y_train, y_test, X_train and X_test by splitting the data into 70% train and 30% test datasets. Set random_state to 4 and stratify the subsamples so that train and test datasets have roughly equal proportions of the target's class labels Standardise the data using StandardScaler library