Question

In python, please code the following:

Problem 4 Download the file ATLForecast.dat from canvas. You may wish to open it to inspect the contents (then close the file to ensure no file locking implications). This file contains the minimum forecast temperature for the next 10 days in Atlanta (I'm waiting for the cool weather to start). Write a program that reads in the contents of this file (see example provided below, usinga function within numpy to read in this text file) import numpy as np temperatureData = np.loadtxt('C:\\Users\\agardiner\\Documents\ATLForecast.dat') Your program will also loop through the values within this file and detect the largest fall in the minimum temperature between two days (Note: the values in the file are stored in chronological order). After looping through all the values in the file, report the minimum temperature of the day before the largest fall in temperature, the amount of the fall, and the temperature of the next day.

Answer 1

In the following code, I have subtracted the consecutive values in the numpy array to get the temperature drop between 2 days. Then the maximum temperature drop is calculated and the corresponding values are printed. Following is the code with comments to solve the problem.

import numpy as np #importing the .dat file using numpy temperatureData=np.loadtxt("ATLforecast.dat"), li=[] BUE Koco von WNP #subtracting temperatures between 2 consecutive days and storing it in "li" for x in range(len(temperatureData)-1): ! li.append(temperatureData[x] -temperatureData[x+1]), #Finding the largest temperature dip max=max(li) index=[i for i,x in enumerate(li) if x==max] 15 #If there are multiple days with same temp fall, print all the records. 16 -for x in index: 17 print("\nMinimum temperature of the day before the largest fall =", temperatureData[x]); print("Largest temperature fall =" max), 19 print("Minimun temperature of the day after the largest fall =", temperatureData[x+1], "\n"), 18