Reputation: 23800
I am trying to rephrase the implementation found here. This is what I have so far:
import csv
import math
import random
training_set_ratio = 0.67
training_set = []
test_set = []
class IrisFlower:
def __init__(self, petal_length, petal_width, sepal_length, sepal_width, flower_type):
self.petal_length = petal_length
self.petal_width = petal_width
self.sepal_length = sepal_length
self.sepal_width = sepal_width
self.flower_type = flower_type
def __hash__(self) -> int:
return hash((self.petal_length, self.petal_width, self.sepal_length, self.sepal_width))
def __eq__(self, other):
return (self.petal_length, self.petal_width, self.sepal_length, self.sepal_width) \
== (other.petal_length, other.petal_width, other.sepal_length, other.sepal_width)
def load_data():
with open('dataset.csv') as csvfile:
rows = csv.reader(csvfile, delimiter=',')
for row in rows:
iris_flower = IrisFlower(float(row[0]), float(row[1]), float(row[2]), float(row[3]), row[4])
if random.random() < training_set_ratio:
training_set.append(iris_flower)
else:
test_set.append(iris_flower)
def euclidean_distance(flower_one: IrisFlower, flower_two: IrisFlower):
distance = 0.0
distance = distance + math.pow(flower_one.petal_length - flower_two.petal_length, 2)
distance = distance + math.pow(flower_one.petal_width - flower_two.petal_width, 2)
distance = distance + math.pow(flower_one.sepal_length - flower_two.sepal_length, 2)
distance = distance + math.pow(flower_one.sepal_width - flower_two.sepal_width, 2)
return distance
def get_neighbors(test_flower: IrisFlower):
distances = []
for training_flower in training_set:
dist = euclidean_distance(test_flower, training_flower)
d = dict()
d[training_flower] = dist
print(d)
return
load_data()
get_neighbors(test_set[0])
Currently, print statements in the following code block:
def get_neighbors(test_flower: IrisFlower):
distances = []
for training_flower in training_set:
dist = euclidean_distance(test_flower, training_flower)
d = dict()
d[training_flower] = dist
print(d)
return
will have outputs similar to
{<__main__.IrisFlower object at 0x107774fd0>: 0.25999999999999945}
which is ok. But I do not want to create the dictionary first, and then append the key value, as in:
d = dict()
d[training_flower] = dist
So this is what I am trying:
d = dict(training_flower = dist)
However, it does not seem like the dist
method is using the instance, but rather a String, because what I see printed is as follows:
{'training_flower': 23.409999999999997}
{'training_flower': 16.689999999999998}
How do I create the dictionary by using the object as key in one statement?
Upvotes: 1
Views: 102
Reputation: 724
In your snippet, where you write d = dict(training_flower=dist)
, "training_flower" is a keyword argument for dict function and not an object. It is equivalent to writing d = {'training_flower': dist}
. The only way to create a dictionary with an object as a key is to use the latter syntax:
d = {training_flower: dist}
Upvotes: 3
Reputation: 49794
To directly create a dict with a key which is not a valid keyword, use the {}
syntax like:
d = {training_flower: 'a_value'}
training_flower = 'a key'
d = {training_flower: 'a_value'}
print(d)
{'a key': 'a_value'}
Upvotes: 2
Reputation: 653
to initialize a dictionary with an object as a key, (edit: and the string in Stephen's example is an object anyway)
class Flower:
def __repr__(self):
return 'i am flower'
flower1 = Flower()
d = {flower1: 4}
print(d)
outputs
{i am flower: 4}
this is my first post here, and I know I'm late, sorry if it's a duplicate solution. just to show it works with an object.
would upvote Stephen's answer but I can't yet.
Upvotes: 1