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Matplotlib 3.0 Cookbook

You're reading from   Matplotlib 3.0 Cookbook Over 150 recipes to create highly detailed interactive visualizations using Python

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789135718
Length 676 pages
Edition 1st Edition
Languages
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Authors (2):
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Nikhil Borkar Nikhil Borkar
Author Profile Icon Nikhil Borkar
Nikhil Borkar
Srinivasa Rao Poladi Srinivasa Rao Poladi
Author Profile Icon Srinivasa Rao Poladi
Srinivasa Rao Poladi
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Toc

Table of Contents (17) Chapters Close

Preface 1. Anatomy of Matplotlib FREE CHAPTER 2. Getting Started with Basic Plots 3. Plotting Multiple Charts, Subplots, and Figures 4. Developing Visualizations for Publishing Quality 5. Plotting with Object-Oriented API 6. Plotting with Advanced Features 7. Embedding Text and Expressions 8. Saving the Figure in Different Formats 9. Developing Interactive Plots 10. Embedding Plots in a Graphical User Interface 11. Plotting 3D Graphs Using the mplot3d Toolkit 12. Using the axisartist Toolkit 13. Using the axes_grid1 Toolkit 14. Plotting Geographical Maps Using Cartopy Toolkit 15. Exploratory Data Analysis Using the Seaborn Toolkit 16. Other Books You May Enjoy

Working in non-interactive mode

In the interactive mode, we have seen the graph getting built step by step with each instruction. In non-interactive mode, you give all instructions to build the graph and then display the graph with a command explicitly.

How to do it...

Working on non-interactive mode won't be difficult either:

  1. Start the kernel afresh, and import the matplotlib and pyplot libraries:
import matplotlib
import matplotlib.pyplot as plt
  1. Set the interactive mode to OFF:
plt.ioff()
  1. Check the status of interactive mode:
matplotlib.is_interactive()

  1. You should get the output False.
  2. Execute the following code; you will not see the plot on your screen:
# Plot a line graph
plt.plot([1.5, 3.0])

# Plot the title, X and Y axis labels
plt.title("Non Interactive Mode")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
  1. Execute the following statement, and then you will see the plot on your screen:
# Display the graph on the screen 
plt.show()

How it works...

Each of the preceding code statements is self-explanatory. The important thing to note is in non-interactive mode, you write complete code for the graph you want to display, and call plt.show() explicitly to display the graph on the screen.

The following is the output obtained:

The latest versions of Jupyter Notebook seem to display the figure without calling plt.show() command explicitly. However, in Python shell or embedded applications, plt.show() or plt.draw() is required to display the figure on the screen.
You have been reading a chapter from
Matplotlib 3.0 Cookbook
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781789135718
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