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Implement the function get_stats The function get_stats calculates statistics on a sample of values. It does the following: its input parameter is a csv string a csv (comma separated values) string contains a list of numbers (the sample) return a tuple that has 3 values: (n, stdev, mean) tuple[0] is the number of items in the sample tuple[1] is the standard deviation of the sample tuple[2] is the mean of the sample

Respuesta :

temmydbrain

Answer:

Check the explanation

Explanation:

PYTHON CODE: (lesson.py)

import statistics

# function to find standard deviation, mean

def get_stats(csv_string):

   # calling the function to clean the data

   sample=clean(csv_string)

   # finding deviation, mean

   std_dev=statistics.stdev(sample)

   mean=statistics.mean(sample)

   # counting the element in sample

   count=len(sample)

   # return the results in a tuple

   return (count, std_dev, mean)

# function to clean the csv string

def clean(csv_string):

   # temporary list

   t=[]

   # splitting the string by comma

   data=csv_string.split(',')

 

   # looping item in data list

   for item in data:

       # removing space,single quote, double quote

       item=item.strip()

       item= item.replace("'",'')

       item= item.replace('"','')

       # if the item is valid      

       if item:

           # converting into float

           try:

             

               t.append(float(item))

           except:

               continue

   # returning the list of float

   return t

if __name__=='__main__':

   csv = "a, 1, '-2', 2.35, None,, 4, True"

   print(clean(csv))

   print(get_stats('1.0,2.0,3.0'))

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