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📚 Python for Introductory Statistics
Chapters ▾
0. Why Learn Python?1. Introduction to Python2. Python Lists3. Python Syntax4. Python Loops5. Frequency Distributions and Graphs6. Measures of Center and Variation7. Measures of Position8. Discrete Probability Distributions9. Continuous Probability Distributions10. Confidence Intervals11. Hypothesis Testing12. Linear Regression and Correlation13. Analysis of Categorical Data14. Advanced Statistics TopicsAppendix 1: Python Installing StepsAppendix 2: Random Integer GeneratorAppendix 3: Counting, Permutations and CombinationsCode ReferencesResources

5.2 The Matplotlib Library

Matplotlib.pyplot is a graph plotting software library in python that serves as a visualization utility. matplotlib.pyplot is typically imported with the alias plt.

Matplotlib.pyplot Functions

FunctionDescription
plt.bar(x,y) Bar Graph
plt.pie(y,labels=x) Pie Chart
plt.hist(x,bins=k) Histogram with k classes
plt.scatter(x,y) Scatter Plot
plt.suptitle("Main Title") Main Title
plt.xlabel("Horizontal Title") Horizontal Label
plt.ylabel("Vertical Title") Vertical Label

Adapted from Python for Introductory Statistics, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.