Answer:
import pandas as pd #importing pandas library as pd
import matplotlib.pyplot as plt #importing matplotlib.pyplot as plt
pop=pd.read_csv('nycHistPop.csv') #reading the csv file
borough=input('Enter borough name:') #asking the user for borough namme
# image=input('Enter image name:')
# pop['Fraction']=pop[borough]/pop['Total']
# pop.plot(x='Year', y='Fraction')
print("Minimum population",pop[borough].min()) #printing the minimum population of borough
print("Maximum population",pop[borough].max()) #printing the maximum population of borough
print("Average population",pop[borough].mean()) #printing the average population of borough
print("Standard deviation",pop[borough].std()) #printing the standard deviation of borough
# fig=plt.gcf()
# fig.savefig(image)
Explanation:
Hi There!
<span>How does a hard drive work?
Hard Drive is for saving information </span>
Yes, your search results are based on your location, if you allow safari to use your location (phone)
Answer:https://www.chegg.com/homework-help/questions-and-answers/program-specifications-write-program-play-automated-game-rock-paper-scissors-two-players-m-q84530098
Answer:
Some differences between Heap and Binary search trees are as following:-
A heap is a complete binary tree.While a Binary Search Tree may be a complete,prefect binary tree.
A minheap the root should be minimum than it's children So it efficient for finding minimum and maximum.While Binary search trees have different properties the root node should be greater than the left child and should be less than the right child.
