Question 11 Mark
Mention the different Types of Data structures in pandas.
Answer
View full question & answer→There are two data structures supported by pandas library, Series and DataFrames.
Questions
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11 questions · timed · auto-graded
Question 21 Mark
How will you append new rows to a pandas DataFrame?
Answer
View full question & answer→Pandas dataframe.append() function is used to append rows of other dataframe to the end of the given dataframe, returning a new dataframe object.
Question 31 Mark
Define ReIndexing.
Answer
View full question & answer→Reindexing changes the row labels and column labels of a DataFrame. To reindex means to confirm the data to match a given set of labels along a particular axis.
Question 41 Mark
How will you create an empty DataFrame in pandas?
Answer
View full question & answer→df=pd=DataFrame()
Question 51 Mark
How will you create a series from dict in Python?
Answer
View full question & answer→Using Series() function
Question 61 Mark
Write the statements to create the Series with given dictionary SectionNames as index and Section strength as values. Also answer the questions given below:sectionNames = ['A','B','C','D','E','F']
sectionStrength = [34,50,60,54,45,40]
(a) (i) To print the first 5 records.
(ii) To print the last 3 records.
(iii) To print the sum of the strength using loop.
(b) Write the output of the following:
(i) sections.iloc[4]
(ii) sections.loc['B']
(iii) sections[3]
sectionStrength = [34,50,60,54,45,40]
(a) (i) To print the first 5 records.
(ii) To print the last 3 records.
(iii) To print the sum of the strength using loop.
(b) Write the output of the following:
(i) sections.iloc[4]
(ii) sections.loc['B']
(iii) sections[3]
Answer
View full question & answer→(a) sections = pd.Series(sectionStrength,index = sectionNames)(i) sections.head()
(ii) sections.tail(3)
(b) (i) 45
(ii) 50
(iii) 54
(ii) sections.tail(3)
(b) (i) 45
(ii) 50
(iii) 54
Question 71 Mark
Write the statements to answer the given questions:
(i) Create the Series of the above dictionary.
(ii) To print the index.
Answer
View full question & answer→(i) sports = pd.Series(sportsDict)
(ii) sports.index
Question 81 Mark
Write the statement to create the series of the list animals = ['Tiger', 'Bear', 'Lion'].
Answer
View full question & answer→import pandas as pd
pd.Series(animals)
pd.Series(animals)
Question 91 Mark
Write the statement to print out all the version information of the libraries that are required by the pandas library.
Answer
View full question & answer→pd.show_versions()
Question 101 Mark
Write the statement to display the version of the pandas.
Answer
View full question & answer→pd.__version__
Question 111 Mark
Write the statement to import the pandas with alias name as pd.
Answer
View full question & answer→import pandas as pd