Answer:
# the dog dataframe has been loaded as mpr
# select the dogs where Age is greater than 2
greater_than_2 = mpr [mpr. age > 2]
print(greater_than_2)
# select the dogs whose status is equal to 'still missing'
still_missing = mpr[mpr. status == 'Still Missing']
print(still_missing)
# select all dogs whose dog breed is not equal to Poodle
not_poodle = mpr [mpr.breed != 'Poodle']
print(not_poodle)
Explanation:
The pandas dataframe is a tabular data structure that holds data in rows and columns like a spreadsheet. It is used for statistical data analysis and visualization.
The three program statements above use python conditional statements and operators to retrieve rows matching a given value or condition.
Answer:
% here x and y is given which we can take as
x = 2:2:10;
y = 2:2:10;
% creating a matrix of the points
point_matrix = [x;y];
% center point of rotation which is 2,2 here
x_center_pt = x(2);
y_center_pt = y(2);
% creating a matrix of the center point
center_matrix = repmat([x_center_pt; y_center_pt], 1, length(x));
% rotation matrix with rotation degree which is 45 degree
rot_degree = pi/4;
Rotate_matrix = [cos(rot_degree) -sin(rot_degree); sin(rot_degree) cos(rot_degree)];
% shifting points for the center of rotation to be at the origin
new_matrix = point_matrix - center_matrix;
% appling rotation
new_matrix1 = Rotate_matrix*new_matrix;
Explanation:
We start the program by taking vector of the point given to us and create a matrix by adding a scaler to each units with repmat at te center point which is (2,2). Then we find the rotation matrix by taking the roatational degree which is 45 given to us. After that we shift the points to the origin and then apply rotation ans store it in a new matrix called new_matrix1.
A volcano because its always erupting
Answer:
MacBook or a Dell computer in my opinion
Explanation:
Answer:
Hi
Explanation:
Hi I need points to do my ela work !
