Plotting Data using Matplotlib — Syllabus
CBSE · Class 12 · Informatics Practices
What Plotting Data using Matplotlib covers in CBSE Class 12 Informatics Practices: 4 topics, for the 2026-27 session.
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Topics in Plotting Data using Matplotlib
1. Matplotlib Basics and Figure Components
- Matplotlib can be installed using pip install matplotlib from the command prompt.
- matplotlib.pyplot is imported using import matplotlib.pyplot as plt.
- pyplot contains functions used to work on a plot.
2. Plot Customisation and Line Plots
- plt.xlabel() sets the x-axis label.
- plt.ylabel() sets the y-axis label.
- plt.title() sets the chart title.
3. Pandas Plot Function
- Pandas Series and DataFrame objects have their own .plot() methods starting from Pandas version 0.17.0.
- The Pandas plot() method is a simple wrapper around the plot() function of pyplot.
- The general syntax for kind-based plotting is df.plot(kind = ' ').
4. Histogram and Frequency Polygon
- Histograms are column-charts, where each column represents a range of values, and the height of a column corresponds to how many values are in that range.
- Bins are the number of intervals into which data is divided for a histogram.
- df.plot(kind='hist') automatically chooses bin size unless bins are set manually.
Key Concepts
Central concept: Data visualisation with Matplotlib and Pandas plotting for line, bar, histogram, scatter, box, and pie charts
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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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