14.9 Types of Plot in Matplotlib

Duration: 4 min

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Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
  13. Paper 2 | Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video provides a tutorial on creating four different types of plots using the Matplotlib library in Python. The instructor begins by introducing the topic with a title slide, then systematically demonstrates how to create a line plot, a bar chart, a scatter plot, and a pie chart. For each plot type, the video displays the corresponding Python code, including the necessary library import (plt), data definition, and plotting function (e.g., plt.plot(), plt.bar(), plt.scatter(), plt.pie()). The instructor also shows how to add labels and titles to the plots. Throughout the demonstration, the instructor uses a digital whiteboard to draw the resulting graphs, illustrating the visual output of the code. The video concludes with a 'Thank You' slide.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video starts with a title slide that reads 'Types of Plots in Matplotlib'. The instructor then introduces the first type of plot, the Line Plot. The on-screen code shows the necessary imports and the function call `plt.plot(x, y)`. The instructor explains that this function is used to create a line plot, and he draws a simple line graph on the digital whiteboard to illustrate the concept. The code snippet includes `plt.show()` to display the plot.

  2. 2:00 – 4:12 02:00-04:12

    The instructor transitions to the second plot type, the Bar Chart. The on-screen code defines two lists, `names = ["A", "B", "C"]` and `marks = [80, 90, 85]`, and uses `plt.bar(names, marks)` to create a bar chart. The instructor draws the corresponding bar chart on the whiteboard, labeling the x-axis with 'A', 'B', 'C' and the y-axis with 'Marks'. He then moves to the third type, the Scatter Plot, showing the code `plt.scatter(x, y)` and drawing a scatter plot with several data points. Finally, he demonstrates the Pie Chart, with code `plt.pie(sizes, labels=labels, autopct='%1.1f%%')` where `sizes = [40, 30, 20, 10]` and `labels = ["Python", "Java", "C", "Others"]`. He draws a pie chart with four slices and labels it 'Programming Language Usage'. The video ends with a 'Thank You' slide.

The video provides a clear, step-by-step guide to creating four fundamental types of data visualizations in Python using Matplotlib. It follows a consistent structure for each plot: presenting the code, explaining the function, and drawing the resulting graph. This methodical approach effectively teaches the syntax and visual outcome of each plot type, making it a useful resource for beginners learning data visualization.

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