Question

can you finish implementing the functions below
**********************************************************************************************************

import urllib.request
from typing import List, TextIO


# Precondition for all functions in this module: Each line of the url
# file contains the average monthly temperatures for a year (separated
# by spaces) starting with January.  The file must also have 3 header
# lines.
DATA_URL = 'http://robjhyndman.com/tsdldata/data/cryer2.dat'


def open_temperature_file(url: str) -> TextIO:
    '''Open the specified url, read past the three-line header, and 
    return the open file.
    '''
    ...


def avg_temp_march(f: TextIO) -> float:
    '''Return the average temperature for the month of March
    over all years in f.
    '''

    # We are providing the code for this function
    # to illustrate one important difference between reading from a URL
    # and reading from a regular file. When reading from a URL,
    # we must first convert the line to a string.
    # the str(line, 'ascii') conversion is not used on regular files.
    
    march_temps = []

    # read each line of the file and store the values
    # as floats in a list
    for line in f:
        line = str(line, 'ascii') # now line is a string
        temps = line.split()
        # there are some blank lines at the end of the temperature data
        # If we try to access temps[2] on a blank line,
        # we would get an error because the list would have no elements.
        # So, check that it is not empty.
        if temps != []:
            march_temps.append(float(temps[2]))

    # calculate the average and return it
    return sum(march_temps) / len(march_temps)


def avg_temp(f: TextIO, month: int) -> float:
    '''Return the average temperature for a month over all years
    in f. month is an integer between 0 and 11, representing
    January to December, respectively.
    '''
    ...


def higher_avg_temp(url: str, month1: int, month2: int) -> int:
    '''Return either month1 or month2 (integers representing months in
    the range 0 to 11), whichever has the higher average temperature 
    over all years in the webpage at the given URL.  If the months have
    the same average temperature, then return -1.
    '''
    ...


def three_highest_temps(f: TextIO) -> List[float]:
    '''Return the three highest temperatures, in descending order, 
    over all months and years in f.
    '''
    ...


def below_freezing(f: TextIO) -> List[float]:
    '''Return, in ascending order, all temperatures below freezing 
    (32 degrees Fahrenheit), for all temperature data in f. Include 
    any duplicates that occur.
    '''
    ...

Answer 1

Here is the code for the following question :

Code :

import urllib.request
from typing import List, TextIO

DATA_URL = 'http://robjhyndman.com/tsdldata/data/cryer2.dat'

def open_temperature_file(url: str) -> TextIO:
    openUrl = urllib.request.urlopen(url)
    read_data = []
    readUrl = openUrl.readlines()
    for i in range(3,len(readUrl)):
        line = readUrl[i]
        read_data.append(str(line.decode('utf-8')))
    return  read_data


def avg_temp_march(f: TextIO) -> float:
    march_temps = []

    for line in f:
        line = str(line, 'ascii')  # now line is a string
        temps = line.split()
        if temps != []:
            march_temps.append(float(temps[2]))
    return sum(march_temps) / len(march_temps)


def avg_temp(f: TextIO, month: int) -> float:
    average_temp = float()
    for row in f:
        row  = row.split()
        if row != []:
            row = float(row[month])
            average_temp = average_temp + row
    return  average_temp / 12


def higher_avg_temp(url: str, month1: int, month2: int) -> int:
    read_Temp_file = open_temperature_file(url)
    averge_temp_month1 = (avg_temp(read_Temp_file, month1))
    averge_temp_month2 = avg_temp(read_Temp_file, month2)
    if  averge_temp_month1 > averge_temp_month1:
        return  averge_temp_month1
    elif averge_temp_month1 < averge_temp_month2:
        return  averge_temp_month2
    else:
        print("Both mont have same average temprature")
        return  averge_temp_month1

def three_highest_temps(f: TextIO) -> List[float]:
    years = [1964,1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974,1975]
    highest_temp_list = {}
    three_hihest_temp = []
    row_index = -1
    print("Three Highest Temp For each Year :")
    for row in f:
        row  = row.split()
        if row != []:
            row_index = row_index + 1
            for index in range(len(row)):
                highest_temp_list[index] = row[index]
            count = 0
            print(years[row_index], end=":--> ")

            for i in sorted(highest_temp_list, key=highest_temp_list.get, reverse=True):
                print(i, " : ",highest_temp_list.get(i), end="         ")
                count = count + 1
                if count == 3:
                    break
            print()

def below_freezing(f: TextIO) -> List[float]:
     
    temp_below_freezeing_point = []
    freezing_point = float(32)
    for row in f:
        row = row.split()
        if row != []:
            for data in row:
                temp = float(data)
                if temp < freezing_point:
                    temp_below_freezeing_point.append(temp)
    sorted_data = sorted(temp_below_freezeing_point, key= lambda  x : float(x))
    return  sorted_data
read_file =   open_temperature_file(DATA_URL)
print("Avg Temp : ", avg_temp(read_file, 1))
print("Avg Temp : ", avg_temp(read_file, 2))
print("Higher avg temp between two month : ",higher_avg_temp(DATA_URL, 1,2))
three_highest_temps(read_file)
print("Temp Below Freezing Point : ",below_freezing(read_file))

------------------------------------------------------------------------------------------------------------------------------------------------

I'm also providing the screenshots so that you may not face any indentation issues:

OutPut :