Question
a.
True
b.
False
c.
May be True or False
d.
Can't say
Posted under Data Science
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. cov and corr supports the optional min_periods keyword.
Similar Questions
Discover Related MCQs
Q. Which of the following thing can be data in Pandas?
View solution
Q. Point out the correct statement.
View solution
Q. The result of an operation between unaligned Series will have the ________ of the indexes involved.
View solution
Q. Which of the following input can be accepted by DataFrame?
View solution
Q. Point out the wrong statement.
View solution
Q. Which of the following takes a dict of dicts or a dict of array-like sequences and returns a DataFrame?
View solution
Q. Series is a one-dimensional labeled array capable of holding any data type.
View solution
Q. Which of the following works analogously to the form of the dict constructor?
View solution
Q. Which of the following operation works with the same syntax as the analogous dict operations?
View solution
Q. If data is an ndarray, index must be the same length as data.
View solution
Q. All pandas data structures are ___ mutable but not always _______mutable.
View solution
Q. Point out the correct statement.
View solution
Q. Which of the following statement will import pandas?
View solution
Q. Which of the following object you get after reading CSV file?
View solution
Q. Point out the wrong statement.
View solution
Q. Which of the following library is similar to Pandas?
View solution
Q. Panel is a container for Series, and DataFrame is a container for dataFrame objects.
View solution
Q. Which of the following is prominent python “statistics and econometrics library”?
View solution
Q. Which of the following is a foundational exploratory visualization package for the R language in pandas ecosystem?
View solution
Q. Pandas consist of static and moving window linear and panel regression.
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Data Science? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!