Practise Questions Set 1 (Pandas) (Q11 - 20)

Duration: 4 min

This video lesson is available to enrolled students.

Return to /learn/BPSC/part-3-python/file-handling-data-analysis/pandas-basics/asset-practise-questions-set-1-pandas-q11-20 after enrolling

Inside: a video lesson and guided study material.

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 lecture on Python's pandas library, focusing on multiple-choice questions related to DataFrame operations. The instructor, standing in front of a screen displaying code, explains the expected output of various pandas functions. The session covers methods for handling missing data, such as `dropna()` and `fillna()`, sorting data with `sort_values()`, creating new columns, and checking for duplicates. The instructor uses on-screen code snippets to demonstrate each concept, guiding students through the correct answers for each question, which are presented as multiple-choice options.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a question (11) about the `dropna()` function. The code `df = pd.DataFrame({'A':[1,None,3]})` creates a DataFrame with a missing value. The instructor explains that `df.dropna()` removes rows with NaN values, so the output is a DataFrame with only the first and third rows, resulting in the same DataFrame as the original but with the row containing NaN removed. The correct answer is 'Rows without NaN'. The next question (12) demonstrates `fillna()`. The code `df.fillna(0, inplace=True)` replaces all NaN values with 0. The instructor confirms that this operation replaces NaN with 0, making the correct answer 'Replaces NaN with 0'. The third question (13) shows `df.sort_values('A')` on a DataFrame with values [3,1,2]. The instructor explains that this sorts the DataFrame in ascending order by the 'A' column, so the output is [1,2,3], which is an ascending order. The correct answer is 'Ascending order'. The fourth question (14) shows `df['B'] = df['A'] * 2`. The instructor explains that this creates a new column 'B' by multiplying the values in column 'A' by 2, so the correct answer is 'Adds new column B'. The fifth question (15) shows `df.columns` on a DataFrame with columns 'A' and 'B'. The instructor confirms that this returns the list of column names, so the correct answer is ['A','B']. The sixth question (16) shows `df.size` on a DataFrame with 3 rows and 1 column. The instructor explains that `size` returns the total number of elements, which is 3, so the correct answer is 3.

  2. 2:00 – 4:14 02:00-04:14

    The seventh question (17) asks about `len(df)` on a DataFrame with 3 rows. The instructor explains that `len()` returns the number of rows, which is 3, so the correct answer is 3. The eighth question (18) asks about `df.describe()`. The instructor explains that this method provides a statistical summary of the DataFrame, including count, mean, std, min, 25%, 50%, 75%, and max, so the correct answer is 'Shows statistical summary'. The ninth question (19) asks about `df['A'].unique()` on a DataFrame with values [1,2,2,3]. The instructor explains that `unique()` returns the unique values in the series, which are [1,2,3], so the correct answer is [1,2,3]. The tenth question (20) asks about `df.duplicated()`. The instructor explains that this method returns a boolean Series indicating whether each row is a duplicate, so the correct answer is 'Returns True/False'. The instructor then moves to the next question, which is not fully visible, but the pattern of explaining the code and the correct answer continues.

The video presents a structured, question-and-answer format to teach key pandas DataFrame operations. It progresses from basic data manipulation like handling missing values and sorting, to more advanced concepts like creating new columns and checking for duplicates. The instructor uses a consistent method of displaying code, explaining the logic, and then revealing the correct multiple-choice answer, which effectively reinforces the learning of each pandas function.

Loading lesson…