Step 1: Write A Function To Create A New Dataframe(S) For A Given Weight Class. (Inputs Should Be Base Dataframe And Weight Class; Output Should Be A New Dataframe Containing Only That Weight Class.) Use Examples To Justify That Your Dataframes Have Been Created Correctly. 1 # Put Your Pseudocode And Code Here 2 # List To Help Extract Information From The

 

 

Step 1: Write a function to create a new dataframe(s) for a given weight class. (Inputs should be base dataframe and weight class; Output should be a new dataframe containing only that weight class.) Use examples to justify that your dataframes have been created correctly. 1 # Put your pseudocode and code here 2 3 # List to help extract information from the base dataframe 4 weight_class_list = ['47', '52', '57', '63', '72', '84', '84+', '59', '66', '74', '83', '93', '105', '120', '120+'] 5 frame_names list ['class_47kg', 'class_52kg', 'class_57kg', 'class_63kg', 'class_72kg', 'class_84kg', 'class_84pluskg",\ 6 'class_59kg', 'class_66kg', 'class_74kg', 'class_83kg', 'class_93kg', 'class_105kg', 'class_120kg', 'class_120p Step 2: Loop through all the weight classes and store the dataframes for each weight classs in a list (Lists can store all types of variables including Pandas dataframes!) 1 # Put your pseudocode and code here 2