How to get a listNode as a result in python - python

So i started learning about listNodes or linked lists in python and created one;
class Node:
def __init__(self, data, next = None):
self.data = data
self.next = next
class LinkedNode:
def __init__(self):
self.head = None
self.size = 0
def add(self, data):
self.head = Node(data, self.head)
self.size += 1
It works fine but how can i get a listNode in python as the result of this node.
What i mean is a list node looks like this;
{val: 'some_val', next: {val: 'other_val', next{...}}}
In js, when we print the instance of the list node class, it gets the result in the same format but, in python when i tried the same;
ln = LinkedNode()
print(ln)
It gives this;
<main.LinkedNode object at 0x7fe191576400>

There are several ways to make your instance print something more useful.
For instance, you could add a method that will produce a dict, because dictionaries are printed in an output format that is similar to what you ask for:
class Node:
def __init__(self, data, next = None):
self.data = data
self.next = next
def asdict(self):
return { "data": self.data, "next": self.next and self.next.asdict() }
So now when you do this:
print(Node(1).asdict())
... you'll get:
{'data': 1, 'next': None}
When you also add such a method to the LinkedNode class:
class LinkedNode:
def __init__(self):
self.head = None
self.size = 0
def add(self, data):
self.head = Node(data, self.head)
self.size += 1
def asdict(self):
return self.head and self.head.asdict()
...you can do:
lst = LinkedNode()
lst.add(1)
lst.add(2)
print(lst.asdict())
And that will output:
{'data': 2, 'next': {'data': 1, 'next': None}}
And finally, if you want this output to be the default that print will use when you just do print(lst), then define __repr__ (or __str__) on the class:
class LinkedNode:
def __init__(self):
self.head = None
self.size = 0
def add(self, data):
self.head = Node(data, self.head)
self.size += 1
def asdict(self):
return self.head and self.head.asdict()
def __repr__(self):
return repr(self.asdict())
Now you can do print(lst) without calling .asdict() explicitly, and get that same output.

Related

LinkedList implementation in Python not showing beyond the head node

My attempts at creating a linked list from scratch in Python are not working, and I'm not sure what I am missing. I tried to create separate classes for nodes and linked lists, but when I am trying to see beyond the head node, I hit a road block.
Appreciate any pointers (no pun intended). Also, what is a better approach: have a separate class for the nodes, or make them an attribute of the linked list class itself?
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class LinkedList:
def __init__(self):
self.head = None
# adding/inserting to the tail
def add(self, val):
node_to_add = ListNode()
if self.head == None:
self.head = node_to_add
node_to_add.val = val
else:
self.next = node_to_add
node_to_add.val = val
# printing the linked list as a list
def print(self):
list_to_print = []
if not self.head:
return None
node_to_read = self.head
while self.head:
list_to_print.append(node_to_read.val)
if node_to_read.next:
self.head = node_to_read.next
else:
return list_to_print
When I run this code, I only can print the head node. When I add nodes/values after the first entry, the print() only returns the head.
test1 = LinkedList()
test1.add(1)
test1.add(4)
test1.add(7)
test1.print()
the output is
[1]
In order to append items to the last Node you need to keep track of the last node.
You also should not override your head pointer in the print function.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class LinkedList:
def __init__(self):
self.head = None
self.tail = None
# adding/inserting to the tail
def add(self, val):
node_to_add = ListNode()
node_to_add.val = val
if self.tail == None:
self.head = node_to_add
self.tail = node_to_add
else:
self.tail.next = node_to_add
self.tail = node_to_add
# printing the linked list as a list
def print(self):
list_to_print = []
if not self.head:
return None
current_node = self.head
while current_node:
list_to_print.append(current_node.val)
if current_node.next:
current_node = current_node.next
else:
return list_to_print
You can simplify this significantly by giving the node responsibility for adding children. This makes the linked list object basically a wrapper that manages the head and iterations over the list:
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def add(self, node):
if self.next is None:
self.next = node
else:
self.next.add(node)
class LinkedList:
def __init__(self):
self.head = None
def add(self, val):
node = ListNode(val)
if self.head == None:
self.head = node
else:
self.head.add(node)
# printing the linked list as a list
def print(self):
list_to_print = []
node_to_read = self.head
while node_to_read:
list_to_print.append(node_to_read.val)
node_to_read = node_to_read.next
print(list_to_print)
test1 = LinkedList()
test1.add(1)
test1.add(4)
test1.add(7)
test1.print()
# [1, 4, 7]

why is "append" method not working correctly?

The "append" method is not working correctly.
It's only going inside the 'if" statement of the "append' method and not entering into the while loop.
class Node:
def __init__(self,data=None):
self.data=data
self.next=None
class Linkedlist:
def __init__(self):
self.head=Node()
def append(self,data):
new_node=Node(data)
if self.head.data is None:
self.head=new_node
cur_node=self.head
while cur_node.next is not None:
cur_node=cur_node.next
cur_node=new_node
def insert_after_node(self,prev_node,data):
new_node=Node(data)
if prev_node is None:
print("node that you have entered does not exist")
new_node.next=prev_node.next
prev_node.next=new_node
def display(self):
current=self.head
while current.next is not None:
print(current.data)
current=current.next
List=Linkedlist()
List.append("A")
List.append("B")
List.append("C")
List.insert_after_node(List.head,"g")
List.display()
Expected output: AgBC
Actual Output: A
Your .append() method simply sets a local variable to cur_node to point to new_node. This doesn't change the linked list at all; the last node in the link that was previously assigned to that local variable is not changed.
You instead want to assign to the .next attribute of the last node:
cur_node.next = new_node
The while loop in the method is working fine otherwise.
You also should not use new_node twice, when the list is empty. Exit when you don't yet have a head node with data:
if self.head.data is None:
self.head=new_node
return
Personally, I'd set self.head = None instead of self.head = Node(), then use if self.head is None:.
Next, your display function forgets to print the last element. Rather than test for current.next, check if current is None; this is where setting self.head to None for an empty list would work a lot better:
def display(self):
current = self.head
while current is not None
print(current.data)
current = current.next
I had the exact same question as you, but my implementation was different and it seems to work just fine.
First I created a node class with all its different methods:
class Node:
def __init__(self, init_data):
self.data = init_data
self.next = None
def get_data(self):
return self.data
def get_next(self):
return self.next
def set_data(self, new_data):
self.data = new_data
def set_next(self, new_next):
self.next= new_next
The I created my UnorderedList class with its methods too, including append. insert, index and pop I am still working on...
class UnorderedList:
"""
An unordered list class built from a collection of nodes.
"""
def __init__(self):
self.head = None
def is_empty(self):
return self.head == None
def add(self, item):
temp = Node(item)
temp.set_next(self.head)
self.head = temp
def size(self):
current = self.head
count = 0
while current != None:
count += 1
current = current.get_next()
return count
def search(self, item):
current = self.head
found = False
while current != None and not found:
if current.get_data() == item:
found = True
else:
current = current.get_next()
return found
def remove(self, item):
current = self.head
previous = None
found = False
while not found:
if current.get_data() == item:
found = True
else:
previous = current
current = current.get_next()
if previous == None:
self.head = current.get_next()
else:
previous.set_next(current.get_next())
def print_list(self):
current = self.head
while current != None:
print(current.data)
current = current.get_next()
def append(self, item):
new_node = Node(item)
if self.head == None:
self.head = new_node
return
current = self.head
found_last = False
while not found_last:
if current.get_next() == None:
found_last = True
current.set_next(new_node)
else:
current = current.get_next()
def insert(self, item, pos):
pass
def index(self, item):
pass
def pop(self):
pass
I realize my version of append is more verbose, but I was using the traversal method I previously used as part of my size method to make it work, and it seems to work just fine.
I found it easier to create a Node class with its methods separately as it made it easier to visualize how to set the next node and get data from the current one. Hope this helps!
FYI the node class and a lot of the UnorderedList is straight out of Problem Solving with Algorithms and Data Structures in Python by David Ranum and Brad Miller, so I know they work fine!
class Node:
def __init__(self,data=None):
self.data=data
self.next=None
class LinkedList():
def __init__(self):
self.head=Node()
def append(self,data):
new_node=Node(data)
if self.head.data is None:
self.head=new_node
else:
cur_node=self.head
while cur_node.next is not None:
cur_node=cur_node.next
cur_node.next=new_node
def insert_after_node(self,prev_node,data):
new_node=Node(data)
if prev_node is None:
print("node that you have entered does not exist")
new_node.next=prev_node.next
prev_node.next=new_node
def display(self):
current=self.head
while current.next is not None:
print(current.data)
current=current.next
print(current.data)
List=LinkedList()
List.append("A")
List.append("B")
List.append("C")
List.insert_after_node(List.head,"g")
Fixed some bugs for you:
The class name LinkedList mismatch problem
In append, if self.head.data is None, it should set self.head and then return.
In the else part of append, let the last node point to the new node by cur_node.next=new_node
In display, the last node should also be printed.

Issue with linked list implementation

While implementing linked list in Python I faced a little conundrum. Here's my code
class Node(object):
def __init__(self, data=None, next_node=None):
self.data = data
self.next_node = next_node
def get_data(self):
return self.data
def get_next(self):
return self.next_node
def set_next(self, new_next):
self.next_node = new_next
class LinkedList(object):
def __init__(self, head=None):
self.head = head
def insert(self, data):
new_node = Node(data)
new_node.set_next(self.head)
self.head = new_node
n = Node(1)
L = LinkedList()
print('data in node:', n.get_data())
print('next node:', n.get_next())
print('head:', L.head)
L.insert(n)
print('head after insertion:', L.head)
print('try to get data stored in head:', L.head.get_data())
The problem is illustrated by the last line: when I'm trying to get the data stored in head node, instead of that data I get Node object. What am I doing wrong?
The problem is here
new_node = Node(data)
You're treating data as if it is a value while you're passing a Node(1) instead of simply 1

Queue implementation in python gives error on size

I'm new to Python, thus the question. This is my implementation of a Queue
class Queue:
def __init__(self):
self.top = None
self.marker = None
self.size = 0
def push(self, item):
self.size += 1
curr = Node(item)
if self.top is None:
self.top = curr
self.marker = curr
else:
self.marker.next = curr
self.marker = curr
def pop(self):
if self.top is None:
raise Exception("Popping an empty queue")
curr = self.top
self.size -= 1
if self.top is self.marker:
self.top = None
self.marker = None
else:
self.top = self.top.next
return curr
def peek(self):
return self.top.value
def size(self):
return self.size
def isempty(self):
return self.size == 0
The Node class is defined as follows,
class Node:
def __init__(self, value=None, next=None):
self.value = value;
self.next = next
This implementation works fine for most of the methods except when I call size.
This call,
print(queue.size())
Results in the following exception,
print(queue.size())
TypeError: 'int' object is not callable
Can't seem to understand what the issue is here.
You gave an attribute and a method the same name, size. This confuses name resolution (to you; the interpreter has its rules tightly in place). Check your name resolution precedence; I think you'll find that the attribute takes precedence in this case. Thus, queue.size resolves to an integer, not a function.

Python Linked List with Nodes. Iterable

I need some help writing an __iter__() method for my UnorderedList() class. I tried this:
def __iter__(self):
current = self
while current != None:
yield current
But the while loop doesn't stop. Here is the rest of my classes and code:
class Node:
def __init__(self,initdata):
self.data = initdata
self.next = None
def getData(self):
return self.data
def getNext(self):
return self.next
def setData(self,newdata):
self.data = newdata
def setNext(self,newnext):
self.next = newnext
class UnorderedList:
def __init__(self):
self.head = None
self.count = 0
If you want to iterate all items succeedingly, you should do
def __iter__(self):
# Remember, self is our UnorderedList.
# In order to get to the first Node, we must do
current = self.head
# and then, until we have reached the end:
while current is not None:
yield current
# in order to get from one Node to the next one:
current = current.next
so that in every step you go one step further.
BTW, setters and getters aren't used in Python in the form of methods. If you need them, use properties, otherwise omit them altogether.
So just do
class Node(object):
def __init__(self, initdata):
self.data = initdata
self.next = None
class UnorderedList(object):
def __init__(self):
self.head = None
self.count = 0
def __iter__(self):
current = self.head
while current is not None:
yield current
current = current.next

Categories