The data frame first_south is created using first_south = (titanic['Pclass']==1) & (titanic['Embarked']=='S')
<h3>How to create the data frame?</h3>
To do this, we make the following assumptions:
- The pandas module has been loaded as pd
- The dataset has also been loaded as titanic
When pclass column is 1.
This is represented as:
titanic['pclass']==1
When the passenger boards from Southampton.
This is represented as:
titanic['Embarked']=='S'
So, we have:
first_south = (titanic['Pclass']==1) & (titanic['Embarked']=='S')
Read more about data frames at:
brainly.com/question/16524297
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Answer:
data = [0,1,2,3,4]
for i in range(4):
print(data[i])
i+=1
Explanation:
Loops can be utilized in a listing process by looping back to a list with a variable while the loop increases that variable to give a different response from the list.
To bleep it out! hopefully this helped
Answer:
Worst case time of Heapsort is better than worst case time of Quicksort.
Explanation:
Worstcase of Heapsort is nlog(n). Worstcase time of Quicksort is (n^2). Heapsort is comparison based sorting algorithm. Heapsort divides input into sorting. It is a selection sort in which we send maximum inputs for maximum elements at end. Quicksort is divide and conquer algorithm. It is considered as efficient sourcing algorithm.
