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What is the output of the following code? def outer(x, y): def inner1(): return x+y def inner2(): return x*y return (inner1, inner2) (f1, f2) = outer(10, 25) print(f1()) print(f2()) a. 35 250 b. 35 250 c. 250 35 d. 250 35
AnsweredAdam asked 3 years ago • 
2013 views1 answers0 votes
Which of the following are allowed values of the argument how of merge method?
AnsweredAdam asked 3 years ago • 
6756 views1 answers0 votes
Which argument is used to override the existing column names, while using concat method?
AnsweredAdam asked 3 years ago • 
4471 views1 answers0 votes
Which of the following argument is used to set the key to be used for merging two data frames?
AnsweredAdam asked 3 years ago • 
6451 views1 answers0 votes
What is the shape of d defined in below code? import pandas as pd s1 = pd.Series([0, 1, 2, 3]) s2 = pd.Series([0, 1, 2, 3]) s3 = pd.Series([0, 1, 4, 5]) d = pd.concat([s1, s2, s3], axis=1)
AnsweredAdam asked 3 years ago • 
5815 views1 answers-1 votes
Which of the following method is used to concatenate two or more data frames?
AnsweredAdam asked 3 years ago • 
3914 views1 answers0 votes
Which of the following argument is used to ignore the index while concatenating two data frames?
AnsweredAdam asked 3 years ago • 
4541 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 aggregate method shown in below code do? g = df.groupby(df.index.str.len()) g.aggregate({'A':len, 'B':np.sum})
AnsweredAdam asked 3 years ago • 
17770 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 3 years ago • 
3219 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 3 years ago • 
18203 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 3 years ago • 
4528 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 3 years ago • 
3454 views1 answers0 votes
Which of the following method can be applied on a groupby object to get the group details?
AnsweredAdam asked 3 years ago • 
6885 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 3 years ago • 
5168 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 3 years ago • 
5521 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 3 years ago • 
6894 views1 answers0 votes
Which of the following methods is used to group data of a data frame, based on specific columns?
AnsweredAdam asked 3 years ago • 
5915 views1 answers0 votes
Unrecognized datetime value is treated as _________.
AnsweredAdam asked 3 years ago • 
7584 views1 answers0 votes
Which of the following method is used to eliminate rows with null values?
AnsweredAdam asked 3 years ago • 
3116 views1 answers0 votes
Which of the following argument values are allowed for the method argument of fillna?
AnsweredAdam asked 3 years ago • 
6008 views1 answers0 votes
Which of the following methods is used to remove duplicates?
AnsweredAdam asked 3 years ago • 
5756 views1 answers0 votes
Which of the following method of pandas is used to check if each value is a null or not?
AnsweredAdam asked 3 years ago • 
4010 views1 answers0 votes
Which of the following method is used to fill null values with a default value?
AnsweredAdam asked 3 years ago • 
4750 views1 answers0 votes
By default, missing values in any data set are read as ________
AnsweredAdam asked 3 years ago • 
5156 views1 answers-1 votes
What is the length of DatetimeIndex object created with the below expression? pd.bdate_range('11-Sep-2017', '17-Sep-2017', freq='2D')
AnsweredAdam asked 3 years ago • 
11318 views1 answers-1 votes
What is the length of PeriodIndex object created from the expression pd.period_range('11-Sep-2017', '17-Sep-2017', freq='M')?
AnsweredAdam asked 3 years ago • 
7156 views1 answers-1 votes
Which of the following method is used to convert a list of dates like strings into datetime objects?
AnsweredAdam asked 3 years ago • 
5699 views1 answers0 votes
What does the expression d + pd.Timedelta('1 days 2 hours') do to DatetimeIndex object d, defined below? d = pd.date_range('11-Sep-2017', '17-Sep-2017', freq='2D')
AnsweredAdam asked 3 years ago • 
7051 views1 answers0 votes
What is the output of the following code? import pandas as pd d = pd.date_range('11-Sep-2017', '17-Sep-2017', freq='2D') len(d[d.isin(pd.to_datetime(['12-09-2017', '15-09-2017']))])
AnsweredAdam asked 3 years ago • 
7876 views1 answers-1 votes
What is the length of DatetimeIndex object created with the below expression? pd.date_range(’11-Sep-2017′, ’17-Sep-2017′, freq=’2D’)
AnsweredAdam asked 3 years ago • 
1888 views1 answers0 votes
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