16.7 Matplotlib Bars

Duration: 3 min

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Module outline

  1. About the Course: About the Course
  2. Section 1 | Language (Hindi): भाषा, लिपि, ध्वनि, वर्ण, अक्षर, स्वर, व्यंजन, मात्रा और संयुक्ताक्षर, वर्तनी, वर्ण-विन्यास, अनुस्वार, अनुनासिक, चंद्रबिंदु और ‘र’ के रूप, शब्द, पद और शब्द-भेद, संज्ञा और सर्वनाम, विशेषण और क्रिया, लिंग, वचन, पुरुष और कारक, काल, वाच्य, वाक्य और वाक्य-भेद, संधि, समास, विलोम शब्द, पर्यायवाची शब्द, सामान्य अशुद्धियाँ, अनेक शब्दों के लिए एक शब्द, मुहावरे और लोकोक्तियाँ, अपठित गद्यांश और अपठित पद्यांश, Multi-Topic Content (Cross-Concept Material), वर्णमाला
  3. Section 1 | Language (उर्दू भाषा — 22 प्रश्न (निश्चित)): Spelling & Diacritics, Grammar (اسم, فعل, صفت, ضمیر), Vocabulary, Idioms & Proverbs, Comprehension
  4. Section 1 | Language (বাংলা / बांग्ला भाषा — 22 प्रश्न (निश्चित)): Bangla Script and Sounds, Bangla Grammar and Usage, Bangla Word Formation and Vocabulary, Reading and Text Interpretation
  5. Section 1 | Language (English): Vocabulary, Noun, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Tenses, Pronoun, Verb, Adverb, Preposition, Articles, Determiner, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Construction, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Verbal Analogy (Word Based Analogy), Facts, Inference and Judgements
  6. Section 2 | Primary Maths & Reasoning: Ratio and Proportion (Ratios), Divisibility Rules, Mixture and Alligation, Permutation and Combination, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Percentage, Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Mensuration and Geometry, Age Problems, Arithmetic, Powers and Exponents (Surds and Indices), Algebra, Probability, Trigonometry, Syllogisms, Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence
  7. Section 2 | General Awareness (GK + Current Affairs): Polity, Physics, Biology, State Wise GK, Chemistry, History, Geography, Indian Economy, Environment, GK- Current Affairs, Static General Knowledge
  8. Section 3 | Computer System and Org. (CSO): Basics of COA, Floating Point Rep, Cache Memory Organization, Instr Formats & Modes, Programming the Basic Computer, Input Output Organisation, Register Transfer and Microoperations, Control Unit Design
  9. Section 3 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control
  10. Section 3 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Process Synchronization
  11. Section 3 | Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics
  12. Section 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Shortest Path Algos
  13. Section 3 | Theory Of Computation & Compiler Design: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization
  14. Section 3 | Emerging Trends (AI, Societal Ethics & MS Office): Artificial Intelligence, Emerging Tech Trends, Society, Law & Ethics, MS Office Applications
  15. Section 3 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Maintenance and Configuration Management, Software Testing
  16. Section 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  17. Section 3 | OOPS, C++, JAVA, HTML: OOPS with C++, Java, HTML Basics, CSS
  18. Section 3 | Java: Java Fundamentals, Array, String, IO & References
  19. Section 3 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  20. Section 3 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  21. Section 3 | Multimedia: Multimedia
  22. BPSC Previous Year Papers:
  23. BPSC Full Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This video is a Python programming tutorial focused on creating bar charts using the Matplotlib library. The instructor begins by introducing the `plt.bar()` function, demonstrating its basic syntax with a simple example that plots categories A, B, C, and D with corresponding values 13, 8, 12, and 7. The lesson progresses to show how to create horizontal bar charts by using the `plt.barh()` function, which swaps the x and y axes. The tutorial then covers customization options, including setting the color of the bars using the `color` parameter and adjusting the width of the bars with the `width` parameter. Finally, the instructor explains how to control the height of the bars using the `height` parameter, which is particularly relevant for horizontal bars. The entire lesson is presented on a digital whiteboard with code snippets and a live graph, providing a clear, step-by-step guide for beginners.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video starts with a title slide for a Python tutorial on 'Matplotlib Bars'. The instructor introduces the topic and then transitions to a slide titled 'Creating Bars'. On this slide, the instructor explains that the `plt.bar()` function is used to draw bar graphs. The code example shown includes importing `matplotlib.pyplot` as `plt` and `numpy` as `np`. The example defines two arrays: `x` for the categories (['A', 'B', 'C', 'D']) and `y` for the values ([13, 8, 12, 7]). The instructor then demonstrates how to create the bar chart with `plt.bar(x, y)` and display it with `plt.show()`. The resulting vertical bar chart is visible on the right, with the x-axis labeled A, B, C, D and the y-axis showing the values. The instructor points to the code and the chart, explaining the process.

  2. 2:00 – 2:41 02:00-02:41

    The instructor moves to a new slide titled 'Horizontal Bars'. The code on the screen is updated to use the `plt.barh()` function, which creates horizontal bars. The instructor explains that this function is used to draw horizontal bar graphs, and the x and y axes are swapped. The same data arrays `x` and `y` are used, but the chart now displays the bars horizontally. The instructor then transitions to a slide titled 'Bar Color', where the `color` parameter is introduced. The code is modified to `plt.bar(x, y, color='red')`, and the instructor points to the code, explaining that this will color the bars red. Next, the 'Bar Width' slide is shown, where the `width` parameter is introduced. The code is updated to `plt.bar(x, y, width=0.1)`, and the instructor draws a diagram to illustrate how the width of the bars is reduced. Finally, the 'Bar Height' slide is presented, where the `height` parameter is explained for horizontal bars. The code is updated to `plt.bar(x, y, height=0.1)`, and the instructor explains that this parameter controls the height of the bars, which is the vertical dimension in a horizontal bar chart.

The video provides a comprehensive, step-by-step tutorial on creating and customizing bar charts in Python using Matplotlib. It begins with the fundamental concept of the `plt.bar()` function for vertical bars, then logically progresses to the `plt.barh()` function for horizontal bars. The lesson effectively demonstrates key customization parameters, including `color`, `width`, and `height`, showing how each one modifies the appearance of the chart. The clear progression from basic to more advanced features, supported by live code and visual examples, makes it an effective learning resource for understanding data visualization with Matplotlib.

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