What is the code to create a data frame name data_eng that would only contain females from the data frame shown below: 1 data2.head (5) salary ape year at company wes F sex Motion Accountant peation Developer potion Engineer pon peaton Secary 0119778.8800 54 D 54434.7200 54 D 83405.9400 35 61217.1300 20 76220.8800 40 1 2 3 4 218 4 11 10 20 1 1 1 1 D D data_gen = data2[(data2.eng O data_gen= loc[(data2.position_Engineer 1)] 1 1)] D O 1 0 0
What is the code to create a data frame name data_eng that would only contain females from the data frame shown below: 1 data2.head (5) salary ape year at company wes F sex Motion Accountant peation Developer potion Engineer pon peaton Secary 0119778.8800 54 D 54434.7200 54 D 83405.9400 35 61217.1300 20 76220.8800 40 1 2 3 4 218 4 11 10 20 1 1 1 1 D D data_gen = data2[(data2.eng O data_gen= loc[(data2.position_Engineer 1)] 1 1)] D O 1 0 0
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![What is the code to create a data frame name data_eng that would only contain
females from the data frame shown below:
1 data2.head (5)
salary ape year a company wex Fax M pealtion Accountant peation Developer peation Engineer pation Financial pean Secretary
D 119778BBDD 54
1
2
54434.7200 54
215
3 05217.1300 30
4 74220.8800
4
11
10
210
D
D
1
1
1
1
D
D
D
O data gen = data2[(data2.eng 1)]
data_gen= loc[(data2.position_Engineer == 1)]
O data_gen = data2.loc[(data2.position_Engineer== 1)]
data_gen = data2.loc(position_Engineer 1)]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3088de2e-e8a1-46b2-ad91-8e46dd0ae125%2F2c3e584a-cdd4-4f76-b419-0f41166df22c%2Fcmgkkh_processed.jpeg&w=3840&q=75)
Transcribed Image Text:What is the code to create a data frame name data_eng that would only contain
females from the data frame shown below:
1 data2.head (5)
salary ape year a company wex Fax M pealtion Accountant peation Developer peation Engineer pation Financial pean Secretary
D 119778BBDD 54
1
2
54434.7200 54
215
3 05217.1300 30
4 74220.8800
4
11
10
210
D
D
1
1
1
1
D
D
D
O data gen = data2[(data2.eng 1)]
data_gen= loc[(data2.position_Engineer == 1)]
O data_gen = data2.loc[(data2.position_Engineer== 1)]
data_gen = data2.loc(position_Engineer 1)]
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