Plotting Data using Matplotlib
CBSE · Class 12 · Informatics Practices
Summary of Plotting Data using Matplotlib for CBSE Class 12 Informatics Practices. Key concepts, important points, and chapter overview.
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Overview
Data visualisation means graphical or pictorial representation of data using graphs and charts. It helps in understanding variation, comparing values, and showing relationships between variables. Matplotlib is a Python library used for creating static, animated, and interactive 2D plots or figures.
Key Concepts
Matplotlib is a Python library used
Matplotlib is a Python library used to create static, animated, and interactive 2D plots or figures. It is installed using pip install matplotlib.
pyplot is the module of Matplotlib
pyplot is the module of Matplotlib that contains plotting functions. It is imported as import matplotlib.pyplot as plt, and plt is the alias used in p
A figure is the overall window
A figure is the overall window where the outputs of pyplot functions are plotted. It contains the plotting area, legend, axis labels, ticks, and title
The plot() function creates the plot
The plot() function creates the plot, and show() displays the figure created using plot().
A figure can be saved using
A figure can be saved using savefig(), with the file name passed as parameter.
Learning Objectives
- Understand the meaning and purpose of data visualisation
- Learn how to install Matplotlib and import pyplot as plt
- Create and display figures using plot() and show()
- Save plots using savefig()
- Use basic plot customisation such as title, labels, legend, grid, ticks, colour, marker, linewidth, and linestyle
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Sources & Official References
- NCERT Official — ncert.nic.in
- CBSE Academic — cbseacademic.nic.in
- CBSE Official — cbse.gov.in
- National Education Policy 2020 — education.gov.in
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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