NCERT solutions for Informatics Practices [English] Class 11 chapter 6 - Introduction to NumPy [Latest edition]

When we may require to create an array initialised to zeros or ones?

Can you write the command to load the data.txt including the header row as well?

Can you create a datafile and import data into multiple NumPy arrays column wise? (Hint: use the unpack parameter)

What is NumPy?

How to install NumPy?

What is Array?

How is an array different from a list?

What is the name of the built-in array class in NumPy ?

What do you understand by rank of an ndarray?

Create the following NumPy arrays:

A 1-D array called zeros having 10 elements and all the elements are set to zero.

Create the following NumPy arrays:

A 1-D array called vowels having the elements ‘a’, ‘e’, ‘i’, ‘o’ and ‘u’.

Create the following NumPy arrays:

A 2-D array called ones having 2 rows and 5 columns and all the elements are set to 1 and dtype as int.

Create the following NumPy arrays:

Use nested Python lists to create a 2-D array called myarray1 having 3 rows and 3 columns and store the following data:

Create the following NumPy arrays:

A 2-D array called myarray2 using arange() having 3 rows and 5 columns with start value = 4, step size 4 and dtype as float.

Using the arrays created in Question 4 above, write NumPy commands for the following:

1. Find the dimensions, shape, size, data type of the items and itemsize of arrays zeros, vowels, ones, myarray1 and myarray2.
2. Reshape the array ones to have all the 10 elements in a single row.
3. Display the 2^nd and 3^rd element of the array vowels.
4. Display all elements in the 2^nd and 3^rd row of the array myarray1.
5. Display the elements in the 1^st and 2^nd column of the array myarray1.
6. Display the elements in the 1st column of the 2^nd and 3^rd row of the array myarray1.
7. Reverse the array of vowels.

Using the arrays created in Question 4 above, write NumPy commands for the following:

1. Divide all elements of array ones by 3.
2. Add the arrays myarray1 and myarray2.
3. Subtract myarray1 from myarray2 and store the result in a new array.
4. Multiply myarray1 and myarray2 elementwise.
5. Do the matrix multiplication of myarray1 and myarray2 and store the result in a new array myarray3.
6. Divide myarray1 by myarray2.
7. Find the cube of all elements of myarray1 and divide the resulting array by 2.
8. Find the square root of all elements of myarray2 and divide the resulting array by 2. The result should be rounded to two places of decimals.

Using the arrays created in Question 4 above, write NumPy commands for the following:

1. Find the transpose of ones and myarray2.
2. Sort the array vowels in reverse.
3. Sort the array myarray1 such that it brings the lowest value of the column in the first row and so on.

Using the arrays created in Question 4 above, write NumPy commands for the following:

1. Use NumPy. split() to split the array myarray2 into 5 arrays columnwise. Store your resulting arrays in myarray2A, myarray2B, myarray2C, myarray2D and myarray2E. Print the arrays myarray2A, myarray2B, myarray2C, myarray2D and myarray2E.
2. Split the array zeros at array index 2, 5, 7, 8 and store the resulting arrays in zerosA, zerosB, zerosC and zerosD and print them.
3. Concatenate the arrays myarray2A, myarray2B and myarray2C into an array having 3 rows and 3 columns.

Create a 2-D array called myarray4 using arange() having 14 rows and 3 columns with start value = -1, step size 0.25 having. Split this array row wise into 3 equal parts and print the result.

Using the myarray4 created in the above questions, write commands for the following:

1. Find the sum of all elements.
2. Find the sum of all elements row wise.
3. Find the sum of all elements column wise
4. Find the max of all elements.
5. Find the min of all elements in each row.
6. Find the mean of all elements in each row.
7. Find the standard deviation column wise.