Weather_and_Split.py

#!/usr/bin/python3

# Reading from Weather.txt and making adjustments

#### Read in Data ####
filename = input("Please enter in your file name for data conversion: ")
infile = open(filename, 'r')

#### Read Line from File ####
datalist = []

for line in infile:
    #### Get Data from Line ####
    date, h, l, r = (line.split(','))
    highTemp = int(h)
    lowTemp  = int(l)
    rainfall = float(r)
    #### Get Date Correct ####
    month, year = (date.split('-'))
    month = int(m)
    year  = int(y)

    #### Put data in a List ####
    datalist.append([month, year, highTemp, lowTemp, rainfall])

# Close the File #
infile.close()

#### Analyze the Data ####
month = int(input("For the median of high-low temps and median rainfall, enter in the month of your choosing: \n"))
year  = int(input("Please enter the year of 2024! "))

# Search for Historical Data #
gooddata = []
for singleday in datalist:
    if (singleday[0] == month) and (singleday[1] == year):
        gooddata.append([singleday[2], singleday[3], singleday[4], singleday[5]])

# Perform Analysis #
minsofar     = 120
maxsofar     = -100
numgooddates = 0
sumofmin     = 0
sumofmax     = 0
for singlemonth in gooddata:
    numgooddates += 1
    sumofmin += singleday[1]
    sumofmax += singleday[2]
    if singlemonth[1] < minsofar:
        minsofar = singleday[1]
    if singlemonth[2] > maxsofar:
        maxsofar = singleday[2]

avgLow  = sumofmin / numgooddates
avgHigh = sumofmax / numgooddates

#### Present the Results ####
print("There were", numgooddates, "days")
print("The lowest temperature on record was", minsofar)
print("The highest temperature on record was", maxsofar)
print("The average high was", avgHigh)
print("The average low was", avgLow)