Answer:
#section 1
def maxTemp(filename):
import pathlib
f = pathlib.Path(filename)
f.exists()
if f.exists():
f = open(filename, "r")
#section 2
next(f)
res = [int(sub.split(',')[1]) for sub in f]
maxdata = (res[0])
for i in range(len(res)-1):
if maxdata < res[i]:
maxdata = res[i]
index = res.index(maxdata)
f.close()
#section 3
li = []
a = open(filename, "r")
for line in a:
line = line.strip()
li.append(line)
a.close()
return (li[index+1])
else:
return -1
print(maxTemp("new.csv"))
Explanation:
#section 1:
The function maxTemp is defined. We import pathlib in other to check if the file exists, if it does we carry on with opening the file and if it doesn't the program returns -1.
#section 2:
We start splitting the sub-lists from the second line i.e <em>next(f)</em>. For each line we take the second index element and convert it to an integer.
<em>res = [int(sub.split(',')[1]) for sub in f]
</em>
The maximum number is gotten by using the if statement to compare all elements in the list. The index of the maximum item in the list is collected.
the file is then closed.
#section 3 :
The file is re-opened and all the lines are striped and passed into a new list and the index recovered from section 2, is used to get the day with the highest temperature and the line is returned.
Answer:
is the application of food science to the selection, preservation, processing, packaging, distribution, and use of safe food. Related fields include analytical chemistry, biotechnology, engineering, nutrition, quality control, and food safety management.
Explanation:
Your IP address, also known as Internet Protocol
A, OSHA does require training for employees on the hazards to which they will be exposed.
Answer:
The purpose of supply chain management is
On the most basic level, the purpose of supply chain management is to make inventory readily available in customer facing positions to fulfill demand. ... Supply chain partners must work together to maximize resource productivity, develop standardized processes, eliminate duplicate efforts, and minimize inventory levels
Explanation: