Question

• Name the function extract_title • Must take any Pandas DataFrame as input and return a DataFrame as output with an additional Title column. • Assume that input_df represents a DataFrame possessing a 'Name' column, with each corresponding row entry being a string -based name containing exactly one title. • Assume that a title is represented by a word with two or more characters ending in a . • Hint: you can import (import re) and use a regular expression search (re.search()) to find the title in each name. ### START FUNCTION def extract_title(input_df): #your code here return ### END FUNCTION 7: extract_title(train_df).head() ]: Passengerld Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked Title 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S Mr. Cumings, Mrs. 1 2 1 1 John Bradley female 38.0 1 0 PC 17599 71.2833 C85 C Mrs. (Florence Briggs Th... Heikkinen, Miss. 2 3 1 3 female 26.0 0 0 Laina STON/02. 3101282 7.9250 NaN S Miss. Futrelle, Mrs. 3 4 1 1 Jacques Heath (Lily female 35.0 1 0 113803 53.1000 C123 S Mrs. May Peel) Allen, Mr. William 4 5 0 3 male 35.0 0 0 373450 8.0500 NaN S Mr. Henry Expected Outputs: extract_title(train_df)['Title'].unique() == ['Mr.', 'Mrs.', 'Miss.', 'Master.',

          • Name the function extract_title
• Must take any Pandas DataFrame as input and return a DataFrame as output with an additional Title column.
• Assume that input_df represents a DataFrame possessing a 'Name' column, with each corresponding row entry
being a string -based name containing exactly one title.
• Assume that a title is represented by a word with two or more characters ending in a .
• Hint: you can import (import re) and use a regular expression search (re.search()) to find the title in each name.
### START FUNCTION
def extract_title(input_df):
#your code here
return
### END FUNCTION
7: extract_title(train_df).head()
]:
Passengerld Survived Pclass
Name
Sex Age SibSp Parch Ticket Fare Cabin Embarked Title
0
1
0
3
Braund, Mr. Owen
Harris
male 22.0
1
0 A/5 21171 7.2500 NaN
S
Mr.
Cumings, Mrs.
1
2
1
1
John Bradley female 38.0
1
0 PC 17599 71.2833
C85
C Mrs.
(Florence Briggs
Th...
Heikkinen, Miss.
2
3
1
3
female 26.0
0
0
Laina
STON/02.
3101282
7.9250 NaN
S Miss.
Futrelle, Mrs.
3
4
1
1 Jacques Heath (Lily female 35.0
1
0
113803 53.1000 C123
S Mrs.
May Peel)
Allen, Mr. William
4
5
0
3
male 35.0
0
0
373450 8.0500 NaN
S
Mr.
Henry
Expected Outputs:
extract_title(train_df)['Title'].unique() == ['Mr.', 'Mrs.', 'Miss.', 'Master.',

• Name the function extracttitle
• Must take any Pandas DataFrame as input and return a DataFrame as output with an additional Title column.
• Assume that inputdf represents a DataFrame possessing a 'Name' column, with each corresponding row entry
being a string -based name containing exactly one title.
• Assume that a title is represented by a word with two or more characters ending in a .
• Hint: you can import (import re) and use a regular expression search (re.search()) to find the title in each name.
### START FUNCTION
def extracttitle(inputdf):
#your code here
return
### END FUNCTION
7: extracttitle(traindf).head()
]:
Passengerld Survived Pclass
Name
Sex Age SibSp Parch Ticket Fare Cabin Embarked Title
0
1
0
3
Braund, Mr. Owen
Harris
male 22.0
1
0 A/5 21171 7.2500 NaN
S
Mr.
Cumings, Mrs.
1
2
1
1
John Bradley female 38.0
1
0 PC 17599 71.2833
C85
C Mrs.
(Florence Briggs
Th...
Heikkinen, Miss.
2
3
1
3
female 26.0
0
0
Laina
STON/02.
3101282
7.9250 NaN
S Miss.
Futrelle, Mrs.
3
4
1
1 Jacques Heath (Lily female 35.0
1
0
113803 53.1000 C123
S Mrs.
May Peel)
Allen, Mr. William
4
5
0
3
male 35.0
0
0
373450 8.0500 NaN
S
Mr.
Henry
Expected Outputs:
extracttitle(traindf)['Title'].unique() == ['Mr.', 'Mrs.', 'Miss.', 'Master.',

Added by Austin C.

Question

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