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Python Data Analysis - Third Edition

You're reading from  Python Data Analysis - Third Edition

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781789955248
Pages 478 pages
Edition 3rd Edition
Languages
Authors (2):
Avinash Navlani Avinash Navlani
Profile icon Avinash Navlani
Ivan Idris Ivan Idris
Profile icon Ivan Idris
View More author details
Toc

Table of Contents (20) Chapters close

Preface 1. Section 1: Foundation for Data Analysis
2. Getting Started with Python Libraries 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

Writing on images

In the previous section, we created various shapes on images. Now, we will learn how to write text on images. Writing text on an image is similar to drawing shapes. Let's see an example of writing on an image:

# Let's create a black image
img_shape=(600,800,3)
black_image = np.zeros(shape=image_shape,dtype=np.int16)

# Write on black image
text = cv2.putText(black_image,'Thanksgiving',(10,500),
cv2.FONT_HERSHEY_SIMPLEX, 3,(255,0,0),2,cv2.LINE_AA)

# Display the image
plt.imshow(text)

This results in the following output:

In the preceding example, we created a blank image with the color black. We have written text on an image using the putText() function. The putText() function will take the following arguments: image, text, coordinates of the bottom-left corner, font, fontScale, color, thickness, and linetype.

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