- Matplotlib Basics
- Matplotlib - Home
- Matplotlib - Introduction
- Matplotlib - Vs Seaborn
- Matplotlib - Environment Setup
- Matplotlib - Anaconda distribution
- Matplotlib - Jupyter Notebook
- Matplotlib - Pyplot API
- Matplotlib - Simple Plot
- Matplotlib - Saving Figures
- Matplotlib - Markers
- Matplotlib - Figures
- Matplotlib - Styles
- Matplotlib - Legends
- Matplotlib - Colors
- Matplotlib - Colormaps
- Matplotlib - Colormap Normalization
- Matplotlib - Choosing Colormaps
- Matplotlib - Colorbars
- Matplotlib - Text
- Matplotlib - Text properties
- Matplotlib - Subplot Titles
- Matplotlib - Images
- Matplotlib - Image Masking
- Matplotlib - Annotations
- Matplotlib - Arrows
- Matplotlib - Fonts
- Matplotlib - What are Fonts?
- Setting Font Properties Globally
- Matplotlib - Font Indexing
- Matplotlib - Font Properties
- Matplotlib - Scales
- Matplotlib - Linear and Logarthmic Scales
- Matplotlib - Symmetrical Logarithmic and Logit Scales
- Matplotlib - LaTeX
- Matplotlib - What is LaTeX?
- Matplotlib - LaTeX for Mathematical Expressions
- Matplotlib - LaTeX Text Formatting in Annotations
- Matplotlib - PostScript
- Enabling LaTex Rendering in Annotations
- Matplotlib - Mathematical Expressions
- Matplotlib - Animations
- Matplotlib - Artists
- Matplotlib - Styling with Cycler
- Matplotlib - Paths
- Matplotlib - Path Effects
- Matplotlib - Transforms
- Matplotlib - Ticks and Tick Labels
- Matplotlib - Radian Ticks
- Matplotlib - Dateticks
- Matplotlib - Tick Formatters
- Matplotlib - Tick Locators
- Matplotlib - Basic Units
- Matplotlib - Autoscaling
- Matplotlib - Reverse Axes
- Matplotlib - Logarithmic Axes
- Matplotlib - Symlog
- Matplotlib - Unit Handling
- Matplotlib - Ellipse with Units
- Matplotlib - Spines
- Matplotlib - Axis Ranges
- Matplotlib - Axis Scales
- Matplotlib - Axis Ticks
- Matplotlib - Formatting Axes
- Matplotlib - Axes Class
- Matplotlib - Twin Axes
- Matplotlib - Figure Class
- Matplotlib - Multiplots
- Matplotlib - Grids
- Matplotlib - Object-oriented Interface
- Matplotlib - PyLab module
- Matplotlib - Subplots() Function
- Matplotlib - Subplot2grid() Function
- Matplotlib - Anchored Artists
- Matplotlib - Manual Contour
- Matplotlib - Coords Report
- Matplotlib - AGG filter
- Matplotlib - Ribbon Box
- Matplotlib - Fill Spiral
- Matplotlib - Findobj Demo
- Matplotlib - Hyperlinks
- Matplotlib - Image Thumbnail
- Matplotlib - Plotting with Keywords
- Matplotlib - Create Logo
- Matplotlib - Multipage PDF
- Matplotlib - Multiprocessing
- Matplotlib - Print Stdout
- Matplotlib - Compound Path
- Matplotlib - Sankey Class
- Matplotlib - MRI with EEG
- Matplotlib - Stylesheets
- Matplotlib - Background Colors
- Matplotlib - Basemap
- Matplotlib Event Handling
- Matplotlib - Event Handling
- Matplotlib - Close Event
- Matplotlib - Mouse Move
- Matplotlib - Click Events
- Matplotlib - Scroll Event
- Matplotlib - Keypress Event
- Matplotlib - Pick Event
- Matplotlib - Looking Glass
- Matplotlib - Path Editor
- Matplotlib - Poly Editor
- Matplotlib - Timers
- Matplotlib - Viewlims
- Matplotlib - Zoom Window
- Matplotlib Plotting
- Matplotlib - Bar Graphs
- Matplotlib - Histogram
- Matplotlib - Pie Chart
- Matplotlib - Scatter Plot
- Matplotlib - Box Plot
- Matplotlib - Violin Plot
- Matplotlib - Contour Plot
- Matplotlib - 3D Plotting
- Matplotlib - 3D Contours
- Matplotlib - 3D Wireframe Plot
- Matplotlib - 3D Surface Plot
- Matplotlib - Quiver Plot
- Matplotlib Useful Resources
- Matplotlib - Quick Guide
- Matplotlib - Useful Resources
- Matplotlib - Discussion
Matplotlib - What is LaTeX?
LaTeX is a typesetting system widely used for producing scientific and technical documents, particularly in disciplines such as mathematics, physics, computer science, engineering and academic writing. It's highly regarded for its superior typesetting of complex mathematical equations, scientific notations, and structured text formatting.
Key Aspects of LaTeX
The below are the key aspects of LaTeX.
Markup Language
LaTeX is a markup language, meaning it uses commands and tags to format text rather than WYSIWYG which is abbreviated as What You See Is What You Get editors. Users write plain text with embedded commands that specify the structure and formatting.
High-Quality Typesetting
LaTeX excels in producing professional-looking documents with precise typographical and typesetting features. It handles complex structures like mathematical formulas, tables, bibliographies and cross-references exceptionally well.
Package System
LaTeX offers a vast array of packages that extend its functionality for specific tasks or document types, providing templates, styles and additional features.
Free and Open Source
LaTeX is free to use and is supported by a strong open-source community by ensuring continuous development and a rich ecosystem of packages and resources.
Components of LaTeX
The LaTex of matplotlib library have the following components. Let’s see each of them in detail.
Document Class
The document class specifies the type of document being created and defines its overall structure, layout and formatting. It acts as a template that sets the style and behavior for the entire document. Different document classes are available to suit various types of documents such as articles, reports, books, presentations and more.
Preamble
In LaTeX the preamble is the section of the document that precedes the main content and the \begin{document} command. It is where we define the document settings, load packages, set parameters and configure global settings that apply to the entire document. The preamble acts as a setup area where we prepare LaTeX for processing the main body of the document.
Document Body
The document body in LaTeX is the main section where the content of our document resides. It starts after the preamble and the \begin{document} command and continues until the \end{document} command. This section includes the actual text, sections, subsections, equations, figures, tables and any other elements that constitute the core content of the document.
Advantages of LaTeX
The following are the advantages of LaTex.
- Quality Typesetting − Produces high-quality output, especially for scientific and technical documents.
- Cross-Referencing − Simplifies referencing and cross-referencing of equations, figures, tables, and sections.
- Version Control − Facilitates version control and collaboration through plain text-based files.
- Customization − Allows extensive customization of document styles, layouts and formatting.
Disadvantages of LaTeX
Learning Curve − Requires learning its syntax and commands which can be daunting for beginners.
Limited WYSIWYG − Lack of immediate visual feedback (WYSIWYG) might be challenging for some users accustomed to graphical editors.
Usage of LaTeX
- Academic Writing − Academic papers, theses, dissertations
- Scientific − Scientific reports, articles, and journals
- Technical Documents − Technical documentation, manuals
- Presentations − Presentations using tools like Beamer
Basic document structure of the LaTex
Syntax
A basic LaTeX document structure includes −
\documentclass{article} \begin{document} \section{Introduction} This is a simple LaTeX document. \subsection{Subsection} Some text in a subsection. \end{document}
The above code defines a basic article document with a hierarchical structure comprising a section and a subsection.
LaTeX is a powerful tool for producing structured, high-quality documents especially in technical and academic fields. While it has a learning curve its ability to handle complex mathematical notations and produce professional-looking documents makes it a preferred choice for many researchers, academics and professionals.
Write our own LaTeX preamble
To write our own LaTeX preamble in Matplotlib we can use this example as reference.
Example 1
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-10, 10, 100) y = np.exp(x) plt.plot(x, y, color='red', label="$y=e^{x}$") plt.legend(loc='upper right') plt.show()
Output
On executing the above code you will get the following output −
Latex formula in the legend of a plot using Matplotlib inside a .py file
In this example we are using the Latex formula in the legend of a plot inside a .py file.
Example 2
import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(1, 10, 1000) y = np.sin(x) plt.plot(x, y, label=r'$\sin (x)$', c="red", lw=2) plt.legend() plt.show()
Output
On executing the above code you will get the following output −
Put a little more complex equation in the label, for example, label=r'αiπ+1=0'
Now, look at the legend at the top-right corner of the plot.