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 base dataframe 4 weight_class_list = ['47', '52', '57', '63', '72', '84', '84+', '59', '66', '74', '33', '93', '105', '120', '120+'] 5 frame_names_list = ['class_47kg ,'class_52kg','class_57kg','class_63kg','class_72kg', 'class_84kg', 'class_84pluskg, 1 'class_59kg','class_66kg','class_74kg','class_83kg','class_93kg','class_105kg','class_120kg', 'class_120p 6 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 2 # Put your pseudocode and code here