Learn Matplotlib concepts with hands-on live running coding examples and exercises
What you will learn
Learn Matplotlib for Data Science and Data Analysis
Create interactive visualizations in Python with Matplotlib.
Easily create graphs, histograms, bar graphs, etc.
Learn Matplotlib from scratch
Acquire essential Matplotlib skills for numeric and scientific computing
Practice your skills with 50+ exercises
Description
Welcome to the Matplotlib Course for Beginners by Studyopedia.
Matplotlib is an open-source plotting library developed by John D. Hunter. Create interactive visualizations in Python with Matplotlib. It is built on NumPy and is one of the most popular libraries for data visualization in Python.
In this tutorial, we will learn how to perform plotting with Python. Visualizations are far better than textual data. Using matplotlib, we can easily create graphs, histograms, bar graphs, etc.
Features
The following are the features of Matplotlib:
- Free and open-source Python library
- Load and plot the data easily
- Easily Make interactive figures that can zoom, pan, update.
- Export to various file formats, such as PNG, PDF, SVG, etc.
- Use third-party packages built on Matplotlib for plotting, animations, styles, etc.
- Create graphs easily, set legends, position titles, plot, etc. with Matplotlib
Course Lessons
Matplotlib β Introduction
Install & Matplotlib
Matplotlib – PyPlot Submodule (Run first Matplotlib program)
Matplotlib – Plotting
Matplotlib – Add Grid Lines
Matplotlib – Add Labels to a Plot
Matplotlib – Plot Titles and Position them
Matplotlib – Add a Legend in a Graph
Matplotlib – Position Legends
Matplotlib – Change the background color of the Legend
Matplotlib – Change the font size of the Legend
Matplotlib β Bar Graph
Matplotlib β Pie Chart
Matplotlib β Line Graph
Matplotlib β Histogram
Matplotlib β Scatter Plot
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Content