given the following information:
http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data
i need to have an output that:
- 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 to have an output file named iris-summary.txt.
The output file should give the average values of the sepal and petal lengths and widths. A suggested output format is: average sepal length, average sepal width, average petal length, average petal width, Class In this case the correct output will be 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 i need to use dictionaries and list comprehension. I also know i need to use the f.split(",") capability to add keys to the dictionaries where I can then add an then average them.
If anyone can help me with this code, thanks.
This is just some fiddling I did but I know I am very very far off. I pretty much only created the lists and dictionaries and know that the keys have to be appended still. Do i need to use both dictionary and list?
from __future__ import division, print_function
f = ('iris.txt', 'r')
f2 = ('iris-summary.txt', 'w')
for 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 = {}
sumandlento get averages. - Elazar