Module 1: Overview of Matplotlib
In this module, I explained all about Matplotlib from basics, such as an introduction to working with color properties, to handling ticks, etc.
Lesson 1: Introduction to Matplotlib
In this Matplotlib tutorial, I have explained:
- Overview of Matplotlib
- History of Matplotlib
- Merits of Matplotlib
Lesson 2: Install Matplotlib Using pip in Python
In this Matplotlib tutorial, I have explained:
- Installing Matplotlib
- Upgrading Matplotlib
- Uninstalling Matplotlib
Related tutorial:
Lesson 3: Install Matplotlib Using Conda in Python
In this Matplotlib tutorial, I have explained:
- Installing Matplotlib
- Upgrading Matplotlib
- Uninstalling Matplotlib
Lesson 4: How to Start with Matplotlib in Python
In this Matplotlib tutorial, I explained everything about starting with Matplotlib in Python.
Lesson 5: How to Add Legends, Grids, and Format Axes in Matplotlib
In this Matplotlib tutorial, I have explained:
- Adding legend
- Adding grid
- Handling axes
Related tutorials:
Lesson 6: Save Plots in Matplotlib
In this Matplotlib tutorial, I have explained:
- Displaying plots
- Saving plots
- Export options
Related tutorials:
Lesson 7: What is Backend? Complete Guide
In this Matplotlib tutorial, I have explained:
- Frontend vs backend
- Types of backends
- Knowing a backend
- Selecting a backend
- Built-in-backend
- Examples
Related tutorials:
Lesson 8: Working with Color Maps in Matplotlib
In this Matplotlib tutorial, I have explained:
- Set color
- Specify color
- Primary color
- Examples
Lesson 9: How to Format Ticks in Matplotlib
In this Matplotlib tutorial, I have explained:
- How to handle xticks
- How to handle yticks
- Ticks without argument
- Examples
Related tutorials:
Module 2: Working with Different Types of Plots in Matplotlib
In this module, I explained all about Matplotlib types of floating, such as histograms, scatter plots, subplots, etc. This module contains 23 videos.
Lesson 1: Plot Multiple Lines in Matplotlib
In this Matplotlib tutorial, I have explained:
- How to create a multiple-line chart
- Multiple line chart with different colors
- Multiple line chart with different line styles
Related tutorials:
Lesson 2: Create a Basic Bar Chart in Python with Matplotlib
In this Matplotlib tutorial, I have explained:
- Bar chart
- Characteristics of a bar chart
- Uses of a bar chart
- Types of bar charts
- Syntax of a bar chart
- Examples of vertical and horizontal bar charts
Related tutorials:
Lesson 3: Create a Stacked Bar Chart in Python with Matplotlib
In this Matplotlib tutorial, I have explained:
- Stacked bar chart
- Characteristics of a stacked bar chart
- Uses of a stacked bar chart
- Types of stacked bar charts
- Syntax of stacked bar charts
Related tutorials:
Lesson 4: Create Grouped Bar Charts in Matplotlib
In this Matplotlib tutorial, I have explained:
- Grouped bar chart
- Syntax of group bar chart
- Examples
Lesson 5: Create a Histogram in Python
In this Matplotlib tutorial, I have explained:
- Histogram,
- Characteristics of the histogram
- How to create a histogram
- Syntax of histogram
Lesson 6: Create a Scatter Plot in Python
In this Matplotlib tutorial, I have explained:
- Scatter plot
- Uses of the scatter plot
- Types of scatter plot
- Syntax of scatter plot
Related tutorials:
Lesson 7: Create a Pie Chart in Python
In this Matplotlib tutorial, I have explained:
- pie chart
- Characteristics of a pie chart
- Advantages of a pie chart
- Disadvantages of a pie chart
- Syntax to create a pie chart
Related tutorials:
Lesson 8: Create a Donut Chart in Python
In this Matplotlib tutorial, I have explained:
- Donut chart
- Difference between a pie chart and a donut chart
- Steps to create a donut chart
Lesson 9: Add Error Bars in Matplotlib
In this Matplotlib tutorial, I have explained:
- Error bars
- Shape
- Where to plot
- What do error bars represent
- When to use
- Plots on which error bars are used
- Syntax
Related tutorials:
Lesson 10: Create a Polar Chart in Matplotlib
In this Matplotlib tutorial, I have explained:
- Polar chart
- Use of the polar chart
- Syntax of a polar chart
Lesson 11: Radial and Angular Grid Lines in Polar Charts
In this Matplotlib tutorial, I have explained:
- Radial gridlines
- Theta gridlines
Lesson 12: Create a Quiver Plot in Matplotlib
In this Matplotlib tutorial, I have explained:
- Quiver plot
- Structure
- Uses
- Syntax
Lesson 13: Create a Contour Plot in Matplotlib
In this Matplotlib tutorial, I have explained:
- Contour plot
- Formation
- Applications
- Syntax
Lesson 14: Plot Dates in Matplotlib
In this Matplotlib tutorial, I have explained:
- Date plot
- The date plot shows
- Syntax
Related tutorials:
Lesson 15: Add Text in Matplotlib Figures
In this Matplotlib tutorial, I have explained:
- text() function
- figtext() function
- text() function vs figtext() function
Related tutorials:
Lesson 16: Text Function and Fonts in Matplotlib
In this Matplotlib tutorial, I have explained:
- setp() function
- font properties
Lesson 17: Add LaTeX-Style Text and Equations in Matplotlib Plots
In this Matplotlib tutorial, I have explained:
- LaTeX formatting
- Font style
- How to add MathText
- Use of MathText
Lesson 18: Annotations and Arrows in Matplotlib Plots
In this Matplotlib tutorial, I have explained:
- Annotation
- Arrow
Lesson 19: Create Subplots in Matplotlib
In this Matplotlib tutorial, I have explained:
- Glimpses of the matplotlib object
- Object-oriented matplotlib
- Example of object-oriented matplotlib
- Figure function
- Matplotlib subplots
Related tutorials:
Lesson 20: Handle Multiple Figures in Matplotlib
In this Python Matplotlib tutorial, I explained all about handling multiple Figures in Matplotlib
Related tutorials:
Lesson 21: Use Twin Axes in Matplotlib
In this Matplotlib tutorial, I have explained:
- twin axes
- tick_params() function
- twinx() function
- twiny() function
Related tutorials:
Lesson 22: Log Scale Plots in Python Using Matplotlib
In this Matplotlib tutorial, I have explained:
Lesson 23: Share Axes in Matplotlib Subplots
In this Python Matplotlib tutorial, I explained all about sharing axes in Matplotlib Subplots.
Module 3: Statistical and Three-Dimensional Charts
In this module, I explained all about box plot, violin plot, image plot, colorbar, etc. This module contains 8 videos.
Lesson 1: Autocorrelation in Matplotlib
In this Matplotlib tutorial, I have explained:
- Autocorrelation
- Example
- Characteristics
- Application
- Matplotlib autocorrelation
Lesson 2: Create Box Plots in Matplotlib
In this Matplotlib tutorial, I have explained:
- Box plot
- Components of the box plot
- How to create a box plot
- Application of the box plot
- Matplotlib box plot
Lesson 3: Violin Plots in Python with Matplotlib
In this Matplotlib tutorial, I have explained:
- Introduction to violin plot
- Components of a violin plot
- Application of violin plot
- Matplotlib violin plot
Lesson 4: Create Heatmaps in Python Using Matplotlib
In this Matplotlib tutorial, I have explained:
- Heatmap
- Uses of heatmap
- Benefits of a heatmap
- Matplotlib heatmap
- imshow() function
- pcolormesh() function
Lesson 5: Plot Images with Matplotlib in Python
In this Matplotlib tutorial, I have explained:
- Image plotting
- Operations performed on the image
Related tutorials:
Lesson 6: Add and Customize Colorbars in Matplotlib
In this Matplotlib tutorial, I have explained:
- Colorbar
- Python colorbar function
- Figure colorbar function
Related tutorials:
Lesson 7: Getting Started with 3D Plots in Matplotlib
In this Matplotlib tutorial, I have explained:
- Introduction to 3D plots
- How to create 3D plots
- Basic 3D plots
Related tutorials:
Lesson 8: Advanced 3D Plotting in Matplotlib
In this Matplotlib tutorial, I have explained:
- Surface plot
- Wireframe plot
- Contour plot
Related tutorials:
Module-4 Plot Data From DataSource
In this module, I explained all about plotting data from CSV, database MySQL, database SQLite, etc. This module contains 5 videos.
Lesson 1: Plot Data from a Pandas DataFrame with Matplotlib
In this Python Matplotlib tutorial, I explained how to plot data from a Pandas DataFrame using Matplotlib.
Lesson 2: Plot Data from a CSV File Using Matplotlib
In this Python Matplotlib tutorial, I explained how to plot data from a CSV file using Matplotlib in Python.
Lesson 3: Connect MySQL to Python and Plot Data with Matplotlib
In this Matplotlib tutorial, I have explained:
- Introduction to plotting data from a MySQL database
- Steps to create a MySQL database
- Steps to create a connection between Matplotlib and the MySQL server
- Visualize data using Matplotlib
Lesson 4: Visualize MariaDB Data Using Matplotlib in Python
In this Matplotlib tutorial, I have explained:
- Steps to create a MariaDB database
- Steps to create a connection between Matplotlib and the MariaDB server
- Visualize data using Matplotlib
Lesson 5: Plot Data from SQLite Database Using Matplotlib
In this Matplotlib tutorial, I have explained:
- Steps to create a connection between Matplotlib and the SQLite server
- Steps to create a SQLite database
- Visualize data using Matplotlib
Module-5 Embedding Matplotlib in GUI (PyQt5, Tkinter, Django, wxFrame)
In this module, I explained all about embedding matplotlib in a GUI such as PyQt5, Tkinter, Django, etc. This module contains 4 videos.
Lesson 1: Embed Matplotlib in PyQt5 GUI
In this Matplotlib tutorial, I have explained:
- Introduction to PyQt5
- How to install PyQt5
Lesson 2: Embed Matplotlib Plots in Tkinter GUI
In this Python Matplotlib tutorial, I explained how to embed Matplotlib Plots in a Tkinter GUI.
Lesson 3: Embed Matplotlib Charts in Django Web App
In this Python Matplotlib tutorial, I explained how to embed Matplotlib charts in a Django web app.
Lesson 4: Embed Matplotlib Charts in wxPython wxFrame
In this Python Matplotlib tutorial, I explained how to embed Matplotlib charts in a wxPython wxFrame.
