Global Labs-Python

Unit 6-

Lesson 1-NUMPY

PART 1- Basic NumPy Arrays

In this lesson we learn how to initialise arrays which are n-dimentional and how to perform basic operations on them. We also learna about indexing and slicing 1D,2D and 3D arrays

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Lesson1-1-numpy-basics

PART 2 - Process the Text File

In this program there is 3D array already defined. Complete the code by following the instructions in each of the comments listed from Step 1 to Step 5. For a sample of the required output of a working solution, see the Sample Output dropdown link below.

Part 2 - Sample Output for correctly completed program

Step 1 Output: Matrix elements multiplied by 10

[[[100 110 120]

[130 140 150]

[160 170 180]]

[[200 210 220]

[230 240 250]

[260 270 280]]

[[300 310 320]

[330 340 350]

[360 370 380]]

[[400 410 420]

[430 440 450]

[460 470 480]]

[[500 510 520]

[530 540 550]

[560 570 580]]]

Step 2 Output 3rd Matrix:

[[30 31 32]

[33 34 35]

[36 37 38]]

Step 3 Output last row of 5th matrix:

[56 57 58]

Step 4 2D matrix containg 3rd col of each matrix:

[[12 15 18]

[22 25 28]

[32 35 38]

[42 45 48]

[52 55 58]]

Step 5 2D matrix containg 2rd row of each matrix:

[[13 14 15]

[23 24 25]

[33 34 35]

[43 44 45]

[53 54 55]]

PART 3- Initialising NumPy arrays

NumPy provides very versatile and powerful initialising of arrays and tools for manipulating them. We can also do basic algebra including matrix multiplication. NumPy also provides easier file reading and writing of data

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Lesson1-2-more-numpy

PART 4 - Complete the Code

Read in the data from the CSV file world-population.csv which contains two columns of data, (year, population) with a row for each year from 1960 to 2009 into a numpy array. Complete the 5 steps in the program by filling in the code.

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