Suppose you are trying to read a file “temp.csv” using pandas and you get the following error. 36) How would you reset the index of a dataframe to a given list? Explanation: Pandas is built on the Numpy package and its key data structure is called the DataFrame. Sc. C. SciPy To amend this, you put a bookmark in the code so that you come to know how much time is spent on each code line. I have built a simple neural network for an image recognition problem. Which of the following code will find the name of all cities which are present in “City_A” but not in “City_B”. A) from sklearn.decision_tree import DecisionTreeClassifier, B) from sklearn.ensemble import DecisionTreeClassifier, C) from sklearn.tree import DecisionTreeClassifier. Note: numpy library has been imported as np. Which of the following sets the size of the buffer used in ufuncs? B. Matplotlib C) pattern = ‘([a-zA-Z]+i|[a-zA-Z]+ie)(,)’. Explanation: Both option A and B are true. MCQ quiz on Data Science multiple choice questions and answers on data science MCQ questions quiz on data science objectives questions with answer test pdf. We request you to post this comment on Analytics Vidhya's, 40 Questions to test your skill in Python for Data Science. It brings the entire ecosystem of a general programming language. 32) Which of the following will be the output of the below print statement? For this, first you have to expand the data for every month (considering that every month has 30 days). B. 23) You write a code for preprocessing data, and you notice it is taking a lot of time. In order to extract only the domain names from the email addresses from the above string (for eg. 4. Number In Python C. Numerical Python D. None Of the above Which of the following code would be correct? Suppose you want to convert “df” into a dictionary such that ‘Click_Id’ will be the key and ‘Count’ will be the value for each key. Now you being a data freak, challenge the hypothesis by scraping data from your college’s website. C) Print flags of both arrays by e.flags and f.flags; check the flag “OWNDATA”. A. bufsize(size) The 2-gram of this sentence would be [[“this, “is”], [“is”, “a”], [“a, “sample”], [“sample”, “text”]]. 6. Explanation: Adjusting the size of the buffer may therefore alter the speed at which ufunc calculations of various sorts are completed. Questions on Precedence and Associativity, Bitwise & Boolean. For the above graph, the code for producing the plot was. These Python Pandas Multiple Choice Questions (MCQ) should be practiced to improve the Data Science skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations. A. Keyframe 1    False It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview … D. None Of the above, Explanation: NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects. B. hashable Refer the official docs of pandas library. 34)What value should we split on to get individual words? Now, you want to know whether BMI and Gender would influence the sales. When you change the values of the first array, the values for the second array also changes. It aims to testify your knowledge of various Python packages and libraries required to perform data analysis. D. In Numpy, dimensions are called axes. 9. You get the following output when you print “e” & “f”. At Analytics Vidhya, we love Python. 21) In many data science projects, you are required to convert a dataframe into a dictionary. 25) What should be written in-place of “method” to produce the desired outcome? dt = dt = np.dtype('i4') D. All of the above. Build Your Own Desktop Voice Assistant in Python, Cumings, Mrs. John Bradley (Florence Briggs Th…, Futrelle, Mrs. Jacques Heath (Lily May Peel), In line two, write plt.plot([1,2,3,4], width=3), In line two, write plt.plot([1,2,3,4], line_width=3, In line two, write plt.plot([1,2,3,4], lw=3), crosstab(df_train[‘Pclass’], df_train[‘Survived’]), proportion(df_train[‘Pclass’], df_train[‘Survived’]), crosstab(df_train[‘Survived’], df_train[‘Pclass’]), df_1.to_csv(‘../data/file.csv’,encoding=’utf-8′,index=True,header=False), df_1.to_csv(‘../data/file.csv’,encoding=’utf-8′,index=False,header=True), df_1.to_csv(‘../data/file.csv’,encoding=’utf-8′,index=False,header=False). [email protected],cc,Member,2017 13) You have uploaded the dataset in csv format on google spreadsheet and shared it publicly. 1. So you can not only transform and manipulate data, but you can also create strong pipelines and machine learning workflows in a single ecosystem. You want to access it in python, how can you do this? D. Infinite. 4. 8) To check whether the two arrays occupy same space, what would you do? If one of them is False, then both the arrays have same space allocated. D. Econometrics. NumPy is often used along with packages like? C. Statistics MCQ quiz on Python multiple choice questions and answers on Python MCQ questions quiz on Python objectives questions with answer test pdf. D. darray. A) [i for i in City_A if i not in City_B], B) [i for i in City_B if i not in City_A].

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