Sunday, July 26, 2026
Latest:

Questions & Answers

(Frequently asked questions)

Questions & Answers › Tag: Data Aggregation
Filter:AllOpenResolvedClosedUnanswered
Consider a data frame df with 10 rows and index [ 'r1', 'r2', 'r3', 'row4', 'row5', 'row6', 'r7', 'r8', 'r9', 'row10']. What does the aggregate method shown in below code do? g = df.groupby(df.index.str.len()) g.aggregate({'A':len, 'B':np.sum})
AnsweredAdam asked 4 years ago • 
19153 views1 answers0 votes
Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. Which of the following expression filters the rows whose column B values are greater than 45?
AnsweredAdam asked 4 years ago • 
3569 views1 answers0 votes
Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. Which of the following expression filters the rows whose column B values are greater than 45 and column 'C' values are less than 30?
AnsweredAdam asked 4 years ago • 
19502 views1 answers0 votes
Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. What does the expression df[lambda x : x.index.str.endswith('3')] do?
AnsweredAdam asked 4 years ago • 
5427 views1 answers0 votes
Consider a data frame df with 10 rows and index [ 'r1', 'r2', 'r3', 'row4', 'row5', 'row6', 'r7', 'r8', 'r9', 'row10']. How many rows are obtained after executing the below expressions g = df.groupby(df.index.str.len()) g.filter(lambda x: len(x) > 1)
AnsweredAdam asked 4 years ago • 
3941 views1 answers0 votes
Which of the following method can be applied on a groupby object to get the group details?
AnsweredAdam asked 4 years ago • 
7841 views1 answers0 votes
Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3'], Which of the following expression is used to extract columns 'C' and 'D'?
AnsweredAdam asked 4 years ago • 
5829 views1 answers0 votes
Consider a data frame df with 10 rows and index [ 'r1', 'r2', 'r3', 'row4', 'row5', 'row6', 'r7', 'r8', 'r9', 'row10']. What does the expression g = df.groupby(df.index.str.len()) do?
AnsweredAdam asked 4 years ago • 
6637 views1 answers0 votes
What does the expression df.iloc[:, lambda x : [0,3]] do? Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3'].
AnsweredAdam asked 4 years ago • 
7657 views1 answers0 votes
Which of the following methods is used to group data of a data frame, based on specific columns?
AnsweredAdam asked 4 years ago • 
6683 views1 answers0 votes