In this question you must process files containing lines of comma-separated values. The first value in each line is a date in ISO 8601 format, for example 2010-01-01. The remaining one or more values in the line are floating point numbers, which might represent measurements of some physical quantity such as rainfall or windspeed. For example a simple 2-line data file might be 2010-01-01, 10.00, 20.0 2010-01-02,12.00, 100.1,3.2 You are to write a function print_daily_totals (filename) that takes the name of such a file as a parameter and reads the data from the file, printing the total of the readings for each day in the format given below. For each line in the input file you should print an output line in the format formatted date = total, with the total given to 2 decimal places. For example, with the simple 2-line input file above, the output would be 01 Jan 2010 = 30.00 02 Jan 2010 = 115.30 Notes: Your function should calculate and print the total for each line in the file. Days should be printed out in the same order as in the input file. Dates should be formatted DD Mon YYYY (see the examples above and below if you're not sure). The following dictionary will be useful to you: MONTHS = {1: "Jan", 2: "Feb", 3: "Mar", 4: "Apr", 5: "May", 6: "Jun", 7: "Jul", 8: "Aug", 9: "Sep", 10: "Oct", 11: "Nov", 12: "Dec"} Hint: str.split will be very useful for the string processing you have to do. Read the documentation if you're not sure how to use it. Some of the data files used in testing can be downloaded here (click the link to download and save the file - then extract all the files to the same folder as your Python program). For example: Test Result = print_daily_totals('data90.txt') 10 Apr 2006 1399.46 11 Apr 2006 12 Apr 2006 13 Apr 2006 14 Apr 2006 15 Apr 2006 16 Apr 2006 20 Apr 2006 = 2822.36 = 2803.81 = 1622.71 = 3119.60 = 2256.14 = 3120.05 = 1488.00 print_daily_totals('data91.txt') 17 Sep 2001 25 Sep 2001 = 4071.00 = 1107.60 30 Oct 2002 = 4554.94