Consider a Dataframe df of fire hydrants, with two columns: (1) year, and (2) BarrelDiameter that represent the year of construction of each fire hydrant and the barrel diameter. How can we draw a horizontal bar plot of the number of hydrants of each year?

Assume you have an html unordered list of stores with their links and the following code is provided: from bs4 import BeautifulSoup html_string = “””Stores    Store 1    Store 2    Store 3″””bs_obj = BeautifulSoup(html_string, “html.parser”)items = bs_obj.find_all(“a”)stores = ???print(stores) Which of the following answers could replace the ???’s so that the output of this code is: ‘www.store1.com’    

Which of the following Pandas statements is equivalent to the following SQL query: query(” SELECT `National Rank` + `Education Rank` + `Employability Rank` FROM rankings WHERE country=’USA'”)

Consider the following code: df = pd.DataFrame({“Player”:, “Score”:, “Games”: })df = df We want to only keep the rows of df which have a Score greater than 50 and Games more than 1. Which of the following code snippets could replace the ??? to accomplish this?

What will be the output of the following code: def func(f, n):    for i in range(n):        f()def dog():   print(“Woof”, end=” “)def cat():   print(“Meow”, end=” “)func(dog, 3)func(cat, 3)

What will be the output of the following code: def authentication(user):    try:         if user != “Administrator”:            raise PermissionError(“User does not have permission”)            print(“Access denied!”)        else:            print(“Access granted”)    except Exception as e:       print(e)authentication(“Maintainer”)

Telomeres are __________.

Where does the Calvin cycle of photosynthesis occur?

In which process is glucose oxidized to form two molecules of pyruvate?

Which of the following statements is correct regarding kinetic and potential energy?