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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

Glyphs

Bokeh uses a visual glyph, which refers to the circles, lines, triangles, squares, bars, diamonds, and other shape graphs. The glyph is a unique symbol that is used to convey information in pictorial form. Let's create a line plot using the line() function:

# Import the required modules
from bokeh.plotting import figure, output_notebook, show

# Import the required modules
from bokeh.plotting import figure
from bokeh.plotting import output_notebook
from bokeh.plotting import show

# Create the data
x_values = [1,3,5,7,9,11]
y_values = [10,25,35,33,41,59]

# Output to notebook
output_notebook()

# Instantiate a figure
p = figure(plot_width = 500, plot_height = 350)

# create a line plot
p.line(x_values, y_values, line_width = 1, color = "blue")

# Show the plot
show(p)

This results in the following output:

In the preceding example, the line() function takes the x- and y-axis values. It also takes the line_width and color values of the line. In the next section, we will focus on the...

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