Numpy examples

In this repository there are examples of work with numpy library in python language.

TASK 1

Using the arange function, create a Numpy array of 20 consecutive multiples of the number 2.

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TASK 2

Create a list consisting of floating point values and then write a copy of the list converted to int64 type to the variable.

Display the new list and note what happens to the decimal values.

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TASK 3

Write a function that will:

• take one parametern in integer form
• return a Numpy array of size n*n consecutive integers starting from1 The number n is to be given by the user.Display the array and the size of the created array

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TASK 4

Write a function that will take 2 parameters:a number,

• which will be the basis for the operation of the power and the number of consecutive powers to generate. Using the logspace function generate a one-dimensional array of consecutive powers of the given number, e.g.generate(2,4) -> [2 4 8 16]

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TASK 5

Write a function that:

• on the input it takes one parameter specifying the length of the vector,
• on the basis of the parameter generates a vector, but in reverse order(that is, for example, for n=3=>[3 2 1])
• generates a diagonal matrix with the aforementioned vector as a diagonal

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TASK 6

• Create a script that outputs a numpy array(multidimensional array) in the form of a plot, where one word will be written in a column, one in a row and one diagonally.One of these words should be written from right to left.

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TASK 7

Write a function that generates a multidimensional matrix of the form:

 [[2 4 6]
  [4 2 4]
  [6 4 2]]

Under the assumptions:

• the function takes a parameter n,which specifies the dimensions of the matrix as n*n and places multiples of 2 on its successive diagonals diverging from the main diagonal.

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TASK 8

Write a function that:

• as an input parameter will take a numpy multidimensional array and the direction parameter
• the direction parameter determines whether the input array will be split vertically or horizontally(the default is to split horizontally)
• function divides the input array in half

(write a condition that will display a message that the number of rows or columns, depending on the direction of division, does not allow the operation)

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TASK 9

• Use the functions of the Numpy library learned in class and create an array5x5, which will contain successive values of the Fibonacci sequence

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TASK 10

• Create a matrix of2x3 different values and then calculate the sin for each of its values and save to variable a
• Create a new matrix of 2x3 different values and then calculate the cos for each of its values and save to the variable b
• Execute the addition function of both matrices previously saved to the variables a and b.

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TASK 11 Generate a 3x3 matrix and then:

• display each row in a loop
• display each element in the loop

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