would be the correct implementation? import pandas as pd comp = pd.read_csv('Concrete_Data.csv') comp 0 1 2. 3 3 cement slag flyash water superplasticizer coarseaggregate fineaggregate age csMPa 540.0 0 Downvote also for incorrect
would be the correct implementation? import pandas as pd comp = pd.read_csv('Concrete_Data.csv') comp 0 1 2. 3 3 cement slag flyash water superplasticizer coarseaggregate fineaggregate age csMPa 540.0 0 Downvote also for incorrect
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 would be the correct implementation? import pandas as pd comp = pd.read_csv('Concrete_Data.csv') comp 0 1 2. 3 3 cement slag flyash water superplasticizer coarseaggregate fineaggregate age csMPa 540.0 0
Downvote also for incorrect
![A dataframe named 'comp' is given to you (see the picture below) that contains the different compositions of concrete (in kg per m3 mixture) and its corresponding compressive strength (in
megapascal). If you have to find out the number of concrete samples that have a water composition value of 228 kg per m3 mixture (in the water column), what would be the correct
implementation?
import pandas as pd
comp = pd.read_csv('Concrete_Data.csv')
comp
cement
slag flyash water superplasticizer coarseaggregate fineaggregate age csMPa
540.0
0.0
O 162
2.5
1040.0
676.0 28 79.99
1
540.0
0.0
162
2.5
1055.0
676.0
28
61.89
2
332.5 142.5
228
0.0
932.0
594.0 270
40.27
332.5 142.5
228
0.0
932.0
594.0 365
41.05
4
198.6
132.4
192
0.0
978.4
825.5 360
44.30
5
266.0 114.0
228
0.0
932.0
670.0
90
47.03
6
380.0
95.0
228
0.0
932.0
594.0 365
43.70
7
380.0
95.0
228
0.0
932.0
594.0 28 36.45
8.
266.0 114.0
228
0.0
932.0
670.0
28
45.85
comp[comp['water']==228]['water'].unique( )
comp[comp['water']==228]['water'].sort_values( )
O comp[comp['water']==228]['water].value_counts( )](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb9aa283c-b94e-432f-a098-2a0081e20cc1%2F28cf01c3-0ddc-4134-952a-066e7cf6f4d5%2Fu2cuy5c_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A dataframe named 'comp' is given to you (see the picture below) that contains the different compositions of concrete (in kg per m3 mixture) and its corresponding compressive strength (in
megapascal). If you have to find out the number of concrete samples that have a water composition value of 228 kg per m3 mixture (in the water column), what would be the correct
implementation?
import pandas as pd
comp = pd.read_csv('Concrete_Data.csv')
comp
cement
slag flyash water superplasticizer coarseaggregate fineaggregate age csMPa
540.0
0.0
O 162
2.5
1040.0
676.0 28 79.99
1
540.0
0.0
162
2.5
1055.0
676.0
28
61.89
2
332.5 142.5
228
0.0
932.0
594.0 270
40.27
332.5 142.5
228
0.0
932.0
594.0 365
41.05
4
198.6
132.4
192
0.0
978.4
825.5 360
44.30
5
266.0 114.0
228
0.0
932.0
670.0
90
47.03
6
380.0
95.0
228
0.0
932.0
594.0 365
43.70
7
380.0
95.0
228
0.0
932.0
594.0 28 36.45
8.
266.0 114.0
228
0.0
932.0
670.0
28
45.85
comp[comp['water']==228]['water'].unique( )
comp[comp['water']==228]['water'].sort_values( )
O comp[comp['water']==228]['water].value_counts( )
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