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InterviewSolution
This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
The ________ project builds on top of pandas and matplotlib to provide easy plotting of data.(a) yhat(b) Seaborn(c) Vincent(d) None of the mentionedI have been asked this question in a national level competition.This question is from Pandas in division Data Analysis with Python of Data Science |
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Answer» The correct ANSWER is (b) Seaborn |
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| 2. |
Spyder can introspect and display Pandas DataFrames.(a) True(b) FalseI had been asked this question in final exam.My enquiry is from Pandas topic in section Data Analysis with Python of Data Science |
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Answer» CORRECT CHOICE is (B) False Easiest explanation - Spyder SHOW both “COLUMN wise min/max and global min/max coloring. |
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| 3. |
Which of the following makes use of pandas and returns data in a series or dataFrame?(a) pandaSDMX(b) freedapi(c) OutPy(d) none of the mentionedThe question was posed to me during a job interview.Question is taken from Pandas topic in division Data Analysis with Python of Data Science |
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Answer» Correct ANSWER is (b) freedapi |
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| 4. |
Which of the following is a foundational exploratory visualization package for the R language in pandas ecosystem?(a) yhat(b) Seaborn(c) Vincent(d) None of the mentionedI have been asked this question in my homework.I'm obligated to ask this question of Pandas topic in section Data Analysis with Python of Data Science |
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Answer» Right answer is (a) yhat |
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| 5. |
Which of the following is implemented on DataFrame to compute the correlation between like-labeled Series contained in different DataFrame objects?(a) corrwith(b) corwith(c) corwit(d) none of the mentionedThe question was posed to me in an interview for job.This intriguing question comes from Computational tools in section Data Analysis with Python of Data Science |
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Answer» Correct CHOICE is (a) corrwith |
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| 6. |
You can create a scatter plot matrix using the __________ method in pandas.tools.plotting.(a) sca_matrix(b) scatter_matrix(c) DataFrame.plot(d) all of the mentionedI got this question in exam.The query is from Plotting in Python in section Data Analysis with Python of Data Science |
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Answer» The correct OPTION is (B) scatter_matrix |
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| 7. |
Point out the correct statement.(a) All of the standard pandas data structures have a to_sparse method(b) Any sparse object can be converted back to the standard dense form by calling to_dense(c) The sparse objects exist for memory efficiency reasons(d) All of the mentionedI had been asked this question in examination.My doubt stems from Pandas topic in chapter Data Analysis with Python of Data Science |
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Answer» Correct CHOICE is (d) All of the mentioned |
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| 8. |
Which of the following plots are used to check if a data set or time series is random?(a) Lag(b) Random(c) Lead(d) None of the mentionedThe question was posed to me in examination.I need to ask this question from Plotting in Python topic in portion Data Analysis with Python of Data Science |
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Answer» CORRECT ANSWER is (a) LAG Best explanation: Random DATA should not EXHIBIT any structure in the lag plot. |
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| 9. |
Which of the following statement will import pandas?(a) import pandas as pd(b) import panda as py(c) import pandaspy as pd(d) all of the mentionedThis question was posed to me in a job interview.This question is from Pandas in section Data Analysis with Python of Data Science |
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Answer» CORRECT choice is (a) import pandas as pd Best explanation: You can read data from a CSV FILE using the read_csv FUNCTION. |
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| 10. |
Which of the following works analogously to the form of the dict constructor?(a) DataFrame.from_items(b) DataFrame.from_records(c) DataFrame.from_dict(d) All of the mentionedThe question was asked in quiz.This intriguing question comes from Pandas Data Structure in division Data Analysis with Python of Data Science |
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Answer» Right ANSWER is (a) DataFrame.from_items |
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| 11. |
Which of the following is used to compute the percent change over a given number of periods?(a) pct_change(b) percent_change(c) per_change(d) none of the mentionedThis question was posed to me in an interview.Question is taken from Computational tools topic in chapter Data Analysis with Python of Data Science |
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Answer» RIGHT answer is (a) pct_change Easy explanation - Series, DataFrame, and PANEL all have a METHOD pct_change. |
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| 12. |
Which of the following value is provided by kind keyword for barplot?(a) bar(b) kde(c) hexbin(d) none of the mentionedThe question was asked in unit test.The query is from Plotting in Python topic in division Data Analysis with Python of Data Science |
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Answer» Correct choice is (a) bar |
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| 13. |
The plot method on Series and DataFrame is just a simple wrapper around ____________(a) gplt.plot()(b) plt.plot()(c) plt.plotgraph()(d) none of the mentionedI got this question in a national level competition.My question is taken from Plotting in Python topic in portion Data Analysis with Python of Data Science |
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Answer» The correct OPTION is (B) plt.plot() |
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| 14. |
Which of the following scalars can be converted to other ‘frequencies’ by as typing to a specific timedelta type?(a) Timedelta Series(b) TimedeltaIndex(c) Timedelta(d) All of the mentionedThis question was addressed to me in exam.This intriguing question comes from Time Deltas in section Data Analysis with Python of Data Science |
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Answer» The CORRECT option is (d) All of the mentioned |
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| 15. |
Which of the following operations are supported on Time Frames?(a) idxmax(b) ixmax(c) ixmin(d) none of the mentionedThis question was addressed to me during an interview for a job.My question comes from Time Deltas in section Data Analysis with Python of Data Science |
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Answer» RIGHT option is (a) idxmax Easiest explanation - Operands can ALSO appear in a REVERSED ORDER. |
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| 16. |
Which of the following operation works with the same syntax as the analogous dict operations?(a) Getting columns(b) Setting columns(c) Deleting columns(d) All of the mentionedI have been asked this question in exam.I'd like to ask this question from Pandas Data Structure in portion Data Analysis with Python of Data Science |
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Answer» Correct option is (d) All of the mentioned |
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| 17. |
Which of the following specifies the required minimum number of observations for each column pair in order to have a valid result?(a) min_periods(b) max_periods(c) minimum_periods(d) all of the mentionedThe question was asked in an interview for job.This interesting question is from Computational tools in chapter Data Analysis with Python of Data Science |
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Answer» The CORRECT OPTION is (a) min_periods |
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| 18. |
Combination of TimedeltaIndex with DatetimeIndex allow certain combination operations that are NaT preserving.(a) True(b) FalseI have been asked this question by my college director while I was bunking the class.My question comes from Time Deltas topic in division Data Analysis with Python of Data Science |
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Answer» CORRECT option is (a) True To explain I WOULD SAY: You can ALSO convert indices to yield another INDEX. |
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| 19. |
Point out the wrong statement.(a) min, max, idxmin, idxmax operations are supported on Series(b) You cannot pass a timedelta to get a particular value(c) Division by the numpy scalar is true division(d) None of the mentionedI had been asked this question by my college professor while I was bunking the class.This key question is from Time Deltas topic in chapter Data Analysis with Python of Data Science |
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Answer» Right choice is (b) You cannot pass a timedelta to get a particular value |
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| 20. |
Which of the following method is used for transforming a SparseSeries indexed by a MultiIndex to a scipy.sparse.coo_matrix?(a) SparseSeries.to_coo()(b) Series.to_coo()(c) SparseSeries.to_cooser()(d) None of the mentionedThe question was posed to me in class test.This intriguing question comes from Pandas topic in section Data Analysis with Python of Data Science |
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Answer» The correct option is (a) SparseSeries.to_coo() |
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| 21. |
Point out the correct statement.(a) Pandas consist of set of labeled array data structures(b) Pandas consist of an integrated group by engine for aggregating and transforming data sets(c) Pandas consist of moving window statistics(d) All of the mentionedThis question was addressed to me by my college professor while I was bunking the class.My question is taken from Pandas in portion Data Analysis with Python of Data Science |
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Answer» Correct choice is (d) All of the mentioned |
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| 22. |
Which of the following method produces a data ranking with ties being assigned the mean of the ranks for the group?(a) rank(b) dense_rank(c) partition_rank(d) none of the mentionedI have been asked this question in examination.Enquiry is from Computational tools topic in section Data Analysis with Python of Data Science |
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Answer» Correct answer is (a) rank |
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| 23. |
Which of the following plots are often used for checking randomness in time series?(a) Autocausation(b) Autorank(c) Autocorrelation(d) None of the mentionedThis question was posed to me by my college director while I was bunking the class.Question is from Plotting in Python in section Data Analysis with Python of Data Science |
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Answer» The correct CHOICE is (c) Autocorrelation |
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| 24. |
Which of the following is the base layer for all of the sparse indexed data structures?(a) SArray(b) SparseArray(c) PyArray(d) None of the mentionedI had been asked this question in exam.This key question is from Pandas in chapter Data Analysis with Python of Data Science |
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Answer» Correct answer is (B) SparseArray |
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| 25. |
Point out the wrong statement.(a) qgrid is an interactive grid for sorting and filtering DataFrames(b) Pandas DataFrames implement _repr_html_ methods which are utilized by IPython Notebook(c) Spyder is a cross-platform Qt-based open-source R IDE(d) None of the mentionedThis question was addressed to me during a job interview.This is a very interesting question from Pandas topic in section Data Analysis with Python of Data Science |
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Answer» Correct choice is (C) Spyder is a cross-platform Qt-based open-source R IDE |
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| 26. |
Point out the wrong statement.(a) Series is 1D labeled homogeneously-typed array(b) DataFrame is general 2D labeled, size-mutable tabular structure with potentially heterogeneously-typed columns(c) Panel is generally 2D labeled, also size-mutable array(d) None of the mentionedI had been asked this question in final exam.This interesting question is from Pandas in chapter Data Analysis with Python of Data Science |
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Answer» Correct CHOICE is (c) Panel is generally 2D LABELED, ALSO size-mutable array |
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| 27. |
All pandas data structures are ___ mutable but not always _______mutable.(a) size, value(b) semantic, size(c) value, size(d) none of the mentionedI got this question in my homework.I'd like to ask this question from Pandas in division Data Analysis with Python of Data Science |
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Answer» The correct option is (C) VALUE, size |
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| 28. |
Point out the wrong statement.(a) lxml is very fast(b) lxml requires Cython to install correctly(c) lxml does not make any guarantees about the results of it’s parse(d) none of the mentionedI have been asked this question in my homework.This intriguing question originated from Computational tools in division Data Analysis with Python of Data Science |
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Answer» RIGHT option is (c) LXML does not make any guarantees about the results of it’s parse For explanation: There are some versioning issues surrounding the libraries that are used to parse HTML tables in the top-level pandas io function read_html. |
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| 29. |
Point out the correct combination with regards to kind keyword for graph plotting.(a) ‘hist’ for histogram(b) ‘box’ for boxplot(c) ‘area’ for area plots(d) all of the mentionedThe question was posed to me by my school principal while I was bunking the class.The query is from Plotting in Python in section Data Analysis with Python of Data Science |
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Answer» RIGHT CHOICE is (d) all of the mentioned The explanation is: The kind keyword ARGUMENT of plot() accepts a handful of values for plots other than the default Line plot. |
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| 30. |
Which of the following is used for testing for membership in the list of column names?(a) in(b) out(c) elseif(d) none of the mentionedThis question was addressed to me in examination.Asked question is from Pandas topic in portion Data Analysis with Python of Data Science |
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Answer» Correct ANSWER is (a) in |
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| 31. |
Which of the following is prominent python “statistics and econometrics library”?(a) Bokeh(b) Seaborn(c) Statsmodels(d) None of the mentionedThis question was addressed to me in final exam.The question is from Pandas in section Data Analysis with Python of Data Science |
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Answer» The correct OPTION is (c) Statsmodels |
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| 32. |
The result of an operation between unaligned Series will have the ________ of the indexes involved.(a) intersection(b) union(c) total(d) all of the mentionedThis question was posed to me in examination.I'm obligated to ask this question of Pandas Data Structure in division Data Analysis with Python of Data Science |
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Answer» The correct CHOICE is (B) union |
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| 33. |
Point out the wrong combination with regards to kind keyword for graph plotting.(a) ‘scatter’ for scatter plots(b) ‘kde’ for hexagonal bin plots(c) ‘pie’ for pie plots(d) none of the mentionedThe question was asked in examination.Query is from Plotting in Python in division Data Analysis with Python of Data Science |
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Answer» Right answer is (B) ‘KDE’ for HEXAGONAL BIN plots |
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| 34. |
Which of the following method can be used to rename categorical data?(a) Categorical.rename_categories()(b) Categorical.rename()(c) Categorical.mv_categories()(d) None of the mentionedI had been asked this question in a job interview.My question is based upon Time Deltas in section Data Analysis with Python of Data Science |
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Answer» Correct CHOICE is (a) Categorical.rename_categories() |
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| 35. |
Pandas consist of static and moving window linear and panel regression.(a) True(b) FalseI have been asked this question by my college director while I was bunking the class.Query is from Pandas topic in chapter Data Analysis with Python of Data Science |
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Answer» CORRECT choice is (a) True The explanation: Time SERIES and cross-sectional data are SPECIAL CASES of PANEL data. |
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| 36. |
rolling_count function gives the number of non-null observations.(a) True(b) FalseThe question was posed to me during an interview.My doubt stems from Computational tools topic in chapter Data Analysis with Python of Data Science |
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Answer» Right ANSWER is (b) False |
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| 37. |
Which of the following is used for machine learning in python?(a) scikit-learn(b) seaborn-learn(c) stats-learn(d) none of the mentionedI got this question during an internship interview.My doubt is from Pandas in section Data Analysis with Python of Data Science |
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Answer» RIGHT option is (a) scikit-learn Easy EXPLANATION - scikit-learn is built on NumPy, SCIPY, and MATPLOTLIB. |
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| 38. |
Which of the following library is used to retrieve and acquire statistical data and metadata disseminated in SDMX 2.1?(a) pandaSDMX(b) freedapi(c) geopandas(d) all of the mentionedThis question was addressed to me in class test.My question is from Pandas topic in section Data Analysis with Python of Data Science |
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Answer» Right choice is (a) pandaSDMX |
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| 39. |
Which of the following object you get after reading CSV file?(a) DataFrame(b) Character Vector(c) Panel(d) All of the mentionedThis question was posed to me in an online quiz.My enquiry is from Pandas topic in division Data Analysis with Python of Data Science |
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Answer» RIGHT choice is (a) DATAFRAME For EXPLANATION: You get COLUMNS out of a DataFrame the same WAY you get elements out of a dictionary. |
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| 40. |
Which of the following input can be accepted by DataFrame?(a) Structured ndarray(b) Series(c) DataFrame(d) All of the mentionedThis question was addressed to me in an interview.I'm obligated to ask this question of Pandas Data Structure in section Data Analysis with Python of Data Science |
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Answer» The CORRECT option is (d) All of the mentioned |
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| 41. |
Which of the following thing can be data in Pandas?(a) a python dict(b) an ndarray(c) a scalar value(d) all of the mentionedThis question was addressed to me in quiz.The above asked question is from Pandas Data Structure in portion Data Analysis with Python of Data Science |
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Answer» Correct choice is (d) all of the mentioned |
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| 42. |
Point out the correct statement.(a) Pandas represents timestamps in microsecond resolution(b) Pandas is 100% thread safe(c) For Series and DataFrame objects, var normalizes by N-1 to produce unbiased estimates(d) All of the mentionedThis question was posed to me in an online interview.I want to ask this question from Computational tools topic in chapter Data Analysis with Python of Data Science |
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Answer» CORRECT choice is (c) For Series and DataFrame objects, var NORMALIZES by N-1 to produce UNBIASED estimates The explanation is: Pandas represents timestamps in NANOSECOND resolution. |
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| 43. |
Which of the following is used to generate an index with time delta?(a) TimeIndex(b) TimedeltaIndex(c) LeadIndex(d) None of the mentionedI had been asked this question during an interview.Enquiry is from Time Deltas in section Data Analysis with Python of Data Science |
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Answer» Correct answer is (B) TIMEDELTAINDEX |
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| 44. |
Which of the following list-like data structure is used for managing a dynamic collection of SparseArrays?(a) SparseList(b) GeoList(c) SparseSeries(d) All of the mentionedI got this question in a job interview.This is a very interesting question from Pandas in section Data Analysis with Python of Data Science |
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Answer» CORRECT answer is (a) SparseList The best I can explain: To CREATE one, SIMPLY call the SparseList constructor with a fill_value. |
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| 45. |
Point out the correct statement.(a) Statsmodels provides powerful statistics, econometrics, analysis and modeling functionality that is out of panda’s scope(b) Vintage leverages pandas objects as the underlying data container for computation(c) Bokeh is a Python interactive visualization library for small datasets(d) All of the mentionedThe question was posed to me in quiz.My question is taken from Pandas in division Data Analysis with Python of Data Science |
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Answer» Correct option is (a) STATSMODELS provides powerful STATISTICS, econometrics, analysis and modeling functionality that is out of PANDA’s scope |
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| 46. |
Panel is a container for Series, and DataFrame is a container for dataFrame objects.(a) True(b) FalseI got this question in examination.The query is from Pandas in section Data Analysis with Python of Data Science |
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Answer» Right OPTION is (b) False |
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| 47. |
Point out the correct statement.(a) If data is a list, if index is passed the values in data corresponding to the labels in the index will be pulled out(b) NaN is the standard missing data marker used in pandas(c) Series acts very similarly to a array(d) None of the mentionedI have been asked this question in class test.My question comes from Pandas Data Structure topic in chapter Data Analysis with Python of Data Science |
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Answer» The CORRECT option is (B) NaN is the standard missing data marker used in pandas |
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| 48. |
Point out the correct statement.(a) Timedeltas are differences in times, expressed in difference units(b) You can construct a Timedelta scalar through various argument(c) DateOffsets cannot be used in construction(d) All of the mentionedThe question was asked in an interview for job.Query is from Time Deltas topic in division Data Analysis with Python of Data Science |
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Answer» CORRECT option is (a) TIMEDELTAS are differences in TIMES, expressed in difference units For explanation: Timedeltas can be both POSITIVE and NEGATIVE. |
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| 49. |
Which of the following indexing capabilities is used as a concise means of selecting data from a pandas object?(a) In(b) ix(c) ipy(d) none of the mentionedI had been asked this question in an interview for internship.Enquiry is from Pandas in portion Data Analysis with Python of Data Science |
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Answer» Correct choice is (B) ix |
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| 50. |
Quandl API for Python wraps the ________ REST API to return Pandas DataFrames with time series indexes.(a) Quandl(b) PyDatastream(c) PyData(d) None of the mentionedI have been asked this question in quiz.I need to ask this question from Pandas topic in section Data Analysis with Python of Data Science |
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Answer» Correct CHOICE is (a) Quandl |
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