list - Organize Iris Data in python -

given following information:

http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data

i need have output that:

1. sepal length 2. sepal width 3. petal length 4. petal width 5. class: a. iris setosa b. iris versicolour c. iris virginica

the code needs have output file named iris-summary.txt.

the output file should give average values of sepal , petal lengths , widths. suggested output format is: average sepal length, average sepal width, average petal length, average petal width, class in case correct output formatted as: 6.588, 2.974, 5.552, 2.026, iris-virginica 5.006, 3.418, 1.464, 0.244, iris-setosa 5.936, 2.77, 4.26, 1.326, iris-versicolor

i know need use dictionaries , list comprehension. know need use f.split(",") capability add keys dictionaries can add average them.

if can me code, thanks.

this fiddling did know very far off. pretty created lists , dictionaries , know keys have appended still. need use both dictionary , list?

from __future__ import division, print_function  f = ('iris.txt', 'r')  f2 = ('iris-summary.txt', 'w')  line in f     c = f.split(',')  l_sl = [] l_sw = [] l_pl = [] l_pw = [] l_c = []  d_sepal_length = {} d_sepal_width = {} d_pedal_length = {} d_pedal_width = {} d_class = {} 

k = [s.split(',') s in open('iris.txt').readlines()] sl = sum(s[0] s in k)/len(k) 

etc.