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Python Lists

Use lists to help with processing your data and store data.

exception handling Null values Python Lists 

how do I declare a null value in python?

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In writing about this question, it is important to understand a few things , before we step into the code.

Null values appear in almost every programming language, but they can have a different meaning.

A null value basically means it is empty. So when you return a value that is null, it has nothing in it.

Sometimes it can be confused with the value zero, but as zero is an actual integer, it is not an empty value in a field.

Python uses None to define the keyword null, that returns an empty value.

How can we show null in an output?

Lets look at the below output. From observation it can be seen that a,b,d retuns an int value, but that is quite straight forward.

Let’s focus on c. When it is printed out the value on the screen is showing nothing, and its data type is str. But why is that, surely it is None or empty as we were expecting?

Well Python will return as a string , unless it is explicitly declared as empty. The next section will take you through that.

a = 1
b = 1
c = ""
d = a-b
print(a)
print(b)
print(c)
print(d)
print(type(a))
print(type(b))
print(type(c))
print(type(d))

Returns:
1
1

0
<class 'int'>
<class 'int'>
<class 'str'>
<class 'int'>

So based on the above, how do I declare a null value in python?

We have modified the code above, and declared c as None, and in this instance the code now recognises the output as empty.

a = 1
b = 1
c = None
d = a-b
print(a)
print(b)
print(c)
print(d)
print(type(a))
print(type(b))
print(type(c))
print(type(d))

Result:
1
1
None
0
<class 'int'>
<class 'int'>
<class 'NoneType'>
<class 'int'>

What are the other scenarios that None will be returned?

Python also returns values on None, even though they have not been explicitly declared.

In the below if you try to print nothing, it will by default return an empty value.

On the other hand using an if statement you can check if a value is a None.

The final example is where you are using a function, to check if a value is in a list. If the value does not appear in the list it returns nothing.

This is especially handy , if you want to completely sure that that the returned values are nothing.

It gives you a level of comfort that that the code will not pass anything to other parts of the programme.

a = print()
print(a)

variable = None

if variable is None:
    print("Correct")
else:
    print("Incorrect")

variable1 = "today"
if variable1 is None:
    print("Correct")
else:
    print("Incorrect")


def returnnone():
    list = [1,2,3,4,5]
    for i in list:
        if i == 6:
            print("Six found")
        else:
            print(None)
            
returnnone()

Result:
None
Correct
Incorrect
None
None
None
None
None

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Python Lists 

how to compare two lists in Python

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Estimated reading time: 2 minutes

Often you are going to be asked to compare lists, and you need a quick way to complete.

Here we are going to take through three ways to complete this, if you have more comment below.

Looping to find common values between lists

A simple loop can help you find data that is common to two lists:

# compare for similar values
list1 = ["1", "2", "3", "4"]
list2 = ["1", "2", "3", "4", "5"]

for i in list1:
    for j in list2:
        if i in j:
            print(i)

which yields:

1
2
3
4

Compare for an item in one list and not in the other

There maybe times you wish to find only the values that are in one list and not the other.

Below we use a one line piece of code using list comprehension, which does the same as a loop:

list1 = ["1", "2", "3", "4"]
list2 = ["1", "2", "3", "4", "5"]
for item in [x for x in list2 if x not in list1]:
    print(item)

which gives the result of:

5

comparing lists using the set method

The third way uses python sets, which essentially finds the intersection between two lists, like a Venn diagram.

Here we use set to find what values are not common to each list by using subtraction:

list1 = ["1", "2", "3", "4"]
list2 = ["1", "2", "3", "4", "5"]
a = set(list1)
b = set(list2)
c = b-a
print(c)

which gives you:

{'5'}

Alternatively you could find what is common to both:

list1 = ["1", "2", "3", "4"]
list2 = ["1", "2", "3", "4", "5"]
a = set(list1)
b = set(list2)
c = a.intersection(b)
print(c)

and your result will be:

{'1', '3', '4', '2'}

Remember that using sets will return them unordered, if you want them ordered then apply the following to the above code:

a = set(list1)
b = set(list2)
c = a.intersection(b)
d=sorted(c)
print(type(d))
print(d)

and the output will be:

<class 'list'>
['1', '2', '3', '4']

One thing to note that the sorted method above returns the set as a list not as a set.

There are plenty of resources online where you can learn about sets.

Python Lists Python Tutorial 

Python Tutorial: How to sort lists

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Estimated reading time: 2 minutes

Following on from our post on how to use Python lists have you ever wondered how to sort lists for your Python project?

Our latest video on lists will go through some of the techniques available so that you can get an idea of how to structure your data and sort.

Getting to understand how to implement

In this latest video we will look at:

  • sort() method
  • sorted() function
  • sorting a list through a function

 

Adding in those extra bits to help make the process smoother

Have you thought about sorting ascending/descending?

  • There is also a discussion on this topic as well, and while an index is available for the list, which you may feel does not merit sorting, there could be other logical reasons to implement sorting.
  • Leaving out the reverse = True/False in the sorted method can have an impact, though if you require it left out of the list you have created, automatic ascending will be the default.

On this channel, we have discussed a number of different ways to manage your data. In thinking about sorting a list, why would you want to do this?

Some common reasons are:

  • To visually see if there are duplicates, either on the screen or printed out.
  • If other objects are dependant on the list, say a combo box, then having duplicates visible can help to reduce the size of their contents.
  • Iteration – If you are looking to iterate over a list, it will be quicker if it is sorted.

If you want to learn about lists, using them, and how how they can be iterated over, why not visit Data Analytics Ireland YouTube channel, there are lots of videos there that will help explain the concepts discussed here further.

To get some more links on this topic click here python sort method, it is a blog posting from our website that has some useful links and explanations for you.

Python Lists 

YouTube channel lists – Python Lists

admin 410 Views 0 Comments , , ,

Estimated reading time: 2 minutes

Python lists are used extensively in projects, as a result it is important to understand their structure.

Some of the things they can be used for:

  1. Lookup values for comparisons.
  2. Passing data to them to store to be referenced elsewhere.
  3. As part of a loop, store values that have been found through the loop logic.

With methods are associated with lists?

  1. Append – Add values to the end of the list
  2. Extend – adds values from an iterable object to the end of the list.
  3. Insert – You can insert an item to a certain position in a list.
  4. Remove – Remove the first value in a list that has a value that was asked to be looked for.
  5. Pop – This also removes a value at a certain position and returns, consequently if no position is specified then it removes the last item and returns it.
  6. Clear – Removes all items from the list.
  7. Index – returns the index value of the first item found that was asked to be searched for.
  8. Count – returns the number of times an item that was searched or was found in a list.
  9. Sort – Sorts the items in the list.
  10. Reverse – This reverses the items in the list.
  11. Copy – This makes a copy of the list.

What are the properties of a list?

The data type has the following attributes, that make it really useful for a vast array of scenarios:

  • They are ordered – Whatever order the list is a unique characteristic of the list, furthermore changing the order makes it a different list.
  • You can use their index to access the value.
  • They are mutable, meaning you can apply any of the above methods on them.
  • They can contain strings, integers etc, accordingly, there is no restriction on what can be in the list.

Check out the below video playlist from our YouTube channel, they will help explain more about lists:

On this website you can also read about how to compare two lists in Python or how to sort lists using rstudio in addition to this blog post.

We hope you enjoy it!

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