So, i am doing a project and i need to refer, in a class, a list belonging to another class, heres what i got so far:
import pandas as pd
import numpy as np
data = pd.read_excel(r'D:\Coisas fixes\London.connections.xlsx')
df = pd.DataFrame(data, columns=['station1', 'station2'])
data2 = pd.read_excel(r'D:\Coisas fixes\London.stations.xlsx')
df2 = pd.DataFrame(data2, columns=['id', 'name'])
class testing_tests:
def __init__(self):
self.edge = []
self.vector = []
np_array = df.to_numpy()
for i in np_array:
no1, no2 = i
self.edge.append((no1, no2))
print(self.edge)
class Edge:
def __init__(self):
for i in range(len(testing_tests.edge)):
self.v1 = df.iloc[i, 0]
self.v2 = df.iloc[i, 1]
Basically whats happening is me creating a program to read an excel file, which i managed to do, and save some values in a new class, but i am not figuring out a way of acessing the list in the other class, heres what i wrote on the python console.
c = testing_tests()
-[(11, 163), (11, 212), (49.........
E = Edge()
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "C:/Users/vasco/Downloads/Ze wrk.py", line 26, in __init__
for i in range(len(testing_tests.edge)):
AttributeError: type object 'testing_tests' has no attribute 'edge'
I put the multiple dots because the result is like 400 numbers. Anyone knows what to do? All help is apreciated
c = testing_tests()
Here you are creating an instance of the testing_tests
class, and assigning that instance to c
. The __init__
will run o initialise the class instance, setting up the self.edge
( c.edge
) list.
But inside your Edge
class, you have
for i in range(len(testing_tests.edge)):
Here, you're not using your instance, you're referring directly to the testing_tests
class (not an instance of it). The class (which is like a template) doesn't have an edge
attribute. Only instances of the class have that.
One solution is to make an instance inside Edge, eg
class Edge:
def __init__(self):
self.tt = testing_tests()
for i in range(len(self.tt.edge)):
As an aside, this sort of confusion between classes and their instances is a good example of why using a naming convention can make code more readable. If you use CamelCase
for your class names, it's easier to spot this sort of issue. Eg
class TestingTests:
def __init__(self):
self.edges = []
np_array = df.to_numpy()
for i in np_array:
no1, no2 = i
self.edges.append((no1, no2))
print(self.edges)
class Edge:
def __init__(self):
self.tt = TestingTests()
for i in range(len(self.tt.edges)):
self.v1 = df.iloc[i, 0]
self.v2 = df.iloc[i, 1]
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