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Python Data Analysis

You're reading from   Python Data Analysis Perform data collection, data processing, wrangling, visualization, and model building using Python

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781789955248
Length 478 pages
Edition 3rd Edition
Languages
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Authors (2):
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 Navlani Navlani
Author Profile Icon Navlani
Navlani
Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Foundation for Data Analysis
2. Getting Started with Python Libraries FREE CHAPTER 3. NumPy and pandas 4. Statistics 5. Linear Algebra 6. Section 2: Exploratory Data Analysis and Data Cleaning
7. Data Visualization 8. Retrieving, Processing, and Storing Data 9. Cleaning Messy Data 10. Signal Processing and Time Series 11. Section 3: Deep Dive into Machine Learning
12. Supervised Learning - Regression Analysis 13. Supervised Learning - Classification Techniques 14. Unsupervised Learning - PCA and Clustering 15. Section 4: NLP, Image Analytics, and Parallel Computing
16. Analyzing Textual Data 17. Analyzing Image Data 18. Parallel Computing Using Dask 19. Other Books You May Enjoy

Selecting array elements

In this section, we will see how to select the elements of the array. Let's see an example of a 2*2 matrix:

a = np.array([[5,6],[7,8]])
print(a)

Output:
[[5 6]
[7 8]]

In the preceding example, the matrix is created using the array() function with the input list of lists.

Selecting array elements is pretty simple. We just need to specify the index of the matrix as a[m,n]. Here, m is the row index and n is the column index of the matrix. We will now select each item of the matrix one by one as shown in the following code:

print(a[0,0])
Output: 5

print(a[0,1])
Output: 6

printa([1,0])
Output: 7

printa([1,1])
Output: 8

In the preceding code sample, we have tried to access each element of an array using array indices. You can also understand this by the diagram mentioned here:

In the preceding diagram, we can see it has four blocks and each block represents the element of an array. The values written in each block show its indices.

In this section, we have understood the...

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