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- List comprehensions in Python
- key differences between List and Arrays
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- Python counters
- python tuples
- Python deque
- Python dictionary
- Python Lists
- python namedtuple
Delve into the Python dictionary data structure. Learn how to store and manage key-value pairs, perform efficient data retrieval, and leverage essential dictionary methods for enhanced Python programming experiences.
import csv
amountdisct ={}
with open("/Users/npblue/PycharmProjects/data/credit.csv", 'r') as file:
csvreader = csv.reader(file, delimiter=',')
count=0
for row in csvreader:
if count==0:
count += 1
else:
amountdisct[row[0]]=float(row[7])
print(amountdisct)
def getMedian(lst):
sorted_lst = sorted(lst)
n = len(sorted_lst)
if n % 2 == 0:
middle1 = sorted_lst[n // 2 - 1]
middle2 = sorted_lst[n // 2]
median = (middle1 + middle2) / 2
else:
median = sorted_lst[n // 2]
return median
print("Type :",type(amountdisct))
print("min value :",min(amountdisct.values()))
print("max value :",max(amountdisct.values()))
print("mean value :",sum(amountdisct.values())//len(amountdisct.values()))
print("median value :",getMedian(amountdisct.values()))