2. Introduction Datastructures (Varibles, Lists, Dictionaries, and Sets)¶

Common to R and Python

Variables
Opearations on Numeric and String Variables
Lists

Python Only

Dictionaries
Sets

2.1. Variables¶

Single value
Strings, Integer, Floats and boolean are the most common types of variables.
Remember, under the covers they are all objects.
Multiple variables can be output with the print() statement.
\t can be used to add a tab while \n can input a new line.

a = '#pythonrules' # string
b = 30              # integer
c = True            # boolean

#This prints (1) only the variables, (2) with labels, (3) including tabs, and (4) with new lines.
print('1:', a,  b, c)
print('2:','String:', a, 'Integer:', b, 'Boolean:', c)
print('3:','String:', a, '\tInteger:', b, '\tBoolean:', c)
print('4a:','String:', a, '\n4b: Integer:', b, '\n4c: Boolean:', c)
print(a+str(b))

1: #pythonrules 30 True
2: String: #pythonrules Integer: 30 Boolean: True
3: String: #pythonrules 	Integer: 30 	Boolean: True
4a: String: #pythonrules 
4b: Integer: 30 
4c: Boolean: True
#pythonrules30

2.2. Variable Type (continued)¶

In Python when we write b = 30 this means the value of 30 is assigned to the b object.
Python is a dynamically typed.
Unlike some languages, we don’t have to declare the type of a variable before using it.
Variable type can also change with the reassignment of a variable.

a = 1
print ('The value of a is ', a,  'and type ', type(a) )

a = 2.5
print ('Now the value of a is ', a,  'and type ', type(a) )

a = 'hello there'
print ('Now the value of a is ', a,  'and of type ', type(a) )

The value of a is  1 and type  <class 'int'>
Now the value of a is  2.5 and type  <class 'float'>
Now the value of a is  hello there and of type  <class 'str'>

2.3. Variable Type (continued)¶

Variables themselves do not have a fixed type.
It is only the values that they refer to that have an associated type.
This means that the type referred to by a variable can change as more statements are interpreted.
If we combine types incorrectly we get an error.

#We can't add 5 to a 
b = 'string variable'
c=b+5
c

'string variable5'

2.4. The `type` Function¶

We can query the type of a value using the type function.
Variables can be reassigned to a different type.
There are integer, floating point, and complex number numeric types.
Boolean is a special type of integer.

a = 1
type(a)

int

a = 'hello'
type(a)

str

a=2.5
type(a)

float

a=True
type(a)

bool

2.5. Converting Values Between Types¶

We can convert values between different types.
To convert to string use the str() function.
To convert to floating-point use the float() function.
To convert to an integer use the int() function.
To convert to a boolean use the bool() function.

a = 1
print(a, type(a))

a = str(a)
print (a, type(a))

a = float(a)
print (a, type(a))

a = int(a)
print (a, type(a))

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

2.6. Converting Values Between Types (Continued)¶

To convert to a boolean use the bool() function.
bool can work with a String type that is True or False
bool can work with an integer type that is 1 for True or 0 for False

b = 'True'
print (b, type(b))

b = bool(b)
print (b, type(b))

c = 1
c= bool(c)
print (c, type(c))

d = 0
d= bool(d)
print (d, type(d))

True <class 'str'>
True <class 'bool'>
True <class 'bool'>
False <class 'bool'>

2.7. Null Values¶

Sometimes we represent “no data” or “not applicable”.
In Python we use the special value None.
This corresponds to NA in R of Null in Java/SQL.
When we print the value None is printed.
If we enter the variable, no result is printed out.

a = None
print(a)

None

#Notice nothing is printed.
a

2.8. Operations on Numeric Variables¶

Python can be used as a basic calculator.
Check out this associated tutorial.

print('Addition:', 53 + 5)
print('Multiplication:', 53 * 5)
print('Subtraction:', 53 - 5)
print('Division', 53 / 5 )
print('Floor Division (discards the fractional part)', 53 // 5 )
print('Floor Division (returns the remainder)', 53 % 5 )
print('Exponents:', 5 ** 2 )

Addition: 58
Multiplication: 265
Subtraction: 48
Division 10.6
Floor Division (discards the fractional part) 10
Floor Division (returns the remainder) 3
Exponents: 25

2.9. Operations on String Variables¶

Just as we can do numeric operations, we can also do operations on strings.
Concatentate Strings
A backslash is used as an escape variable.
More info on this tutorial.

a='Start'
b='End'
tab='\t'
newline='\n'
c='can\'t'  #Note that we have to use the Escape character '\' to inclue a apostrophe '  in the key.
cb="can't"
continueline = 'This is the first line. \
This is the second line, but we have included a line continuation character: \\'
#Note that to print the continueline character we have to list 2 (\\)
#Note that to print the continueline character we have to list 2 (\\)

contin2= """
This is the second line, but we have included a line continuation character: 
#Note that to print the continueline character we have to list 2 
#Note that to print the continueline character we have to list 2


"""



print('Concatenation:', a+b )
print('Tab:', a+tab+b )
print('Newline:', a+newline+b )
print('Apostrophe:', c )
print('Apostrophe:', cb )
print('Continue line:', continueline )
print(contin2)

Concatenation: StartEnd
Tab: Start	End
Newline: Start
End
Apostrophe: can't
Apostrophe: can't
Continue line: This is the first line. This is the second line, but we have included a line continuation character: \

This is the second line, but we have included a line continuation character: 
#Note that to print the continueline character we have to list 2 
#Note that to print the continueline character we have to list 2

2.10. Calling Functions on Variables¶

We can call functions in a conventional way using round brackets
Python has a wide variety of built in functions,

a=abs(-98.45)
print('abs() takes the absolute value:', a )
a=round(a)
print('round() rounds to nearest integer:', a )
character=chr(a)
print('chr(98) returns the string representing a character whose Unicode code point is associated with the integer:',character) 

2.11. Exercise - Operations on Variables¶

What happens when you multiply a number times a boolean? What is the resulting type?
What happens when you try to multiply an integer value times a null?
Take 5 to the power of 4.

2.12. Lists¶

Lists can be used to contain a sequence of values of any type.
You can do operations on lists.
The list values start at 0 and that the first value of a list can be printed using a[0]
Lists can be sliced or indexed using the start and end value a[start:end]
Lists are mutable datastructures, meaning that they can be changed (added to).

#Set the value of the list
a = [1, 2, 'three', 'four', 5.0]

print('Print the entire array:', a)
print('Print the first value:', a[0])
print('Print the first three value:', a[0:3])
print('Print from second value till end  of list:', a[2:])
print('Print the last value of a list:', a[-1])
print('Print up till the 2nd to last value:', a[:-2]) 
type(a)

Print the entire array: [1, 2, 'three', 'four', 5.0]
Print the first value: 1
Print the first three value: [1, 2, 'three']
Print from second value till end  of list: ['three', 'four', 5.0]
Print the last value of a list: 5.0
Print up till the 2nd to last value: [1, 2, 'three']

list

2.13. Lists¶

Lists can be nested, where there are lists of lists.
The elements of a nested list is specified after the first list when slicing c[0][0]

a = [1, 2, 'three', 'four', 5.0]
b = [6, 'seven', 8, 'nine']
c = [a, b]

print('This is a list with 2 lists in it:', c)
print('This is the first list:', c[0])
print('This is the first element of the second list:', c[1][0])

This is a list with 2 lists in it: [[1, 2, 'three', 'four', 5.0], [6, 'seven', 8, 'nine']]
This is the first list: [1, 2, 'three', 'four', 5.0]
This is the first element of the second list: 6

2.14. Lists¶

Lists can added to with the append method or your can directly assign location in list.
You can identify the length of a list with len(a)
More fuctions on lists include pop() insert() etc.
If you set a lista = listb this list will not be a copy but instead be the same list, where if you modify one it will modify both.
To create a copy of a list, you can use lista=listb[:]

b = [6, 'seven', 8, 'nine']
b.append(10)
print('We added 10 to b:', b)
print('the length of b is now:', len(b))

b[len(b):] = ['Eleven',12]
print('We added 11 to b:', b)

We added 10 to b: [6, 'seven', 8, 'nine', 10]
the length of b is now: 5
We added 11 to b: [6, 'seven', 8, 'nine', 10, 'Eleven', 12]

2.15. List¶

If you set a lista = listb this list will not be a copy but instead be the same list, where if you modify one it will modify both.
To create a copy of a list, you can use lista=listb[:] or lista=listb.copy()

listb=[1,2,3,4]
listb1=[1,2,3,4]
listb2=[1,2,3,4]
#This assigns one variable to another, linking them
lista=listb
#This creates a copy
lista1=listb1[:]
lista2=listb2.copy() # This does the same thing.
#This deletes the third item in the array.
lista.pop(3)
lista1.pop(3)
lista2.pop(3)
#Notice how when we pop lista, listb is also impacted.
print(lista, listb)
#Notice how when we use a copy, listb1 is not impacted. 
print(lista1, listb1)
print(lista2, listb2)

[1, 2, 3] [1, 2, 3]
[1, 2, 3] [1, 2, 3, 4]
[1, 2, 3] [1, 2, 3, 4]

2.16. Exercise-Lists¶

Hint: This list of functions on lists is useful.

Create a list elists1 with the following values (1,2,3,4,5).
Create a new list elists2 by first creating a copy of elist1 and then reversing the order.
Create a new list elists3 by first creating a copy of elist1 and then adding 7 8 9 to the end. (Hint: Search for a different function if appending doesn’t work.)
Create a new list elists4 by first creating a copy of elist3 and then insert 6 between 5 and 7.

2.17. Sets¶

Lists can contain duplicate values.
A set, in contrast, contains no duplicates.
Sets can be created from lists using the set() function.
Alternatively we can write a set literal using the { and } brackets.

#This creates a set from a list. 
X = set([1, 2, 3, 3, 4])

print(X, type(X))

{1, 2, 3, 4} <class 'set'>

X = {1, 2, 3, 4, 4}
print(X, type(X))

{1, 2, 3, 4} <class 'set'>

2.18. Sets are Mutable¶

Sets are mutable like lists (meaning we can change them)
Duplicates are automatically removed

X = {1, 2, 3, 4}
X.add(0)
X.add(5)
print(X)
X.add(5)
print(X)

{0, 1, 2, 3, 4, 5}
{0, 1, 2, 3, 4, 5}

2.19. Sets are Unordered¶

Sets do not have an order.
Therefore we cannot index or slice them.

X[0]

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-30-19c40ecbd036> in <module>()
----> 1 X[0]

TypeError: 'set' object does not support indexing

2.20. Operations on Sets¶

Union: \(X \cup Y\) combines two sets

X = {1, 2, 3, 4}
Y = {4, 5, 6}
X.union(Y)

{1, 2, 3, 4, 5, 6}

2.21. Operations on Sets¶

Intersection: \(X \cap Y\):

X = {1, 2, 3, 4}
Y = {3, 4, 5}
X.intersection(Y)

{3, 4}

2.22. Operations on Sets¶

Difference \(X - Y\):

X = {1, 2, 3, 4}
Y = {3, 4, 5}
X - Y

{1, 2}

2.23. Dictionaries¶

You can think of dictionaries as arrays that help you assocaite a key with a value.
Dictionaries can be specified with {key: value, key: value}
Dictionaries can be specified with dict([(‘key’, value), (‘key’, value)])
Key’s and values can be either string or numeric.
Dictionaries are mutable, (can be changed) adict['g'] = 41

adict1 = {'a' : 0, 'b' : 1, 'c' : 2}
adict2 = dict([(1, 'a'), (2, 'b'), (3, 'c')])
print(adict1,adict2, '\n', type(adict1),type(adict2), '\n',adict1['b'],adict2[2])

{'c': 2, 'b': 1, 'a': 0} {1: 'a', 2: 'b', 3: 'c'} 
 <class 'dict'> <class 'dict'> 
 1 b

adict2['g']=1234

adict2['g']

2.24. Exercise-Sets/Dictionary¶

Create a set eset1 with the following values (1,2,3,4,5).
Create a new set eset2 the following values (1,3,6).
Create a new set eset3 that is eset1-eset2.
Create a new set eset4 that is the union of eset1+eset2.
Create a new set eset5 that includes values that are in both eset1 and eset2 (intersection).
Create a new dict edict1 with the following keys and associated values: st1=45; st2=32; st3=40; st4=31.
Create a new variable edict2 from edict 1 where the key is st3.

2.25. CREDITS¶

Copyright AnalyticsDojo 2020 This work is licensed under the Creative Commons Attribution 4.0 International license agreement.

This work has been adopted from the origional version: Copyright Steve Phelps 2014

MGMT 4190/6560 Introduction to Machine Learning Applications @Rensselaer

Introduction to Python - Datastructures

rpi.analyticsdojo.com

2. Introduction Datastructures (Varibles, Lists, Dictionaries, and Sets)¶

2.1. Variables¶

2.2. Variable Type (continued)¶

2.3. Variable Type (continued)¶

2.4. The `type` Function¶

2.5. Converting Values Between Types¶

2.6. Converting Values Between Types (Continued)¶

2.7. Null Values¶

2.8. Operations on Numeric Variables¶

2.9. Operations on String Variables¶

2.10. Calling Functions on Variables¶

2.11. Exercise - Operations on Variables¶

2.12. Lists¶

2.13. Lists¶

2.14. Lists¶

2.15. List¶

2.16. Exercise-Lists¶

2.17. Sets¶

2.18. Sets are Mutable¶

2.19. Sets are Unordered¶

2.20. Operations on Sets¶

2.21. Operations on Sets¶

2.22. Operations on Sets¶

2.23. Dictionaries¶

2.24. Exercise-Sets/Dictionary¶

2.25. CREDITS¶

MGMT 4190/6560 Introduction to Machine Learning Applications @Rensselaer

Introduction to Python - Datastructures

rpi.analyticsdojo.com

2. Introduction Datastructures (Varibles, Lists, Dictionaries, and Sets)¶

2.1. Variables¶

2.2. Variable Type (continued)¶

2.3. Variable Type (continued)¶

2.4. The type Function¶

2.5. Converting Values Between Types¶

2.6. Converting Values Between Types (Continued)¶

2.7. Null Values¶

2.8. Operations on Numeric Variables¶

2.9. Operations on String Variables¶

2.10. Calling Functions on Variables¶

2.11. Exercise - Operations on Variables¶

2.12. Lists¶

2.13. Lists¶

2.14. Lists¶

2.15. List¶

2.16. Exercise-Lists¶

2.17. Sets¶

2.18. Sets are Mutable¶

2.19. Sets are Unordered¶

2.20. Operations on Sets¶

2.21. Operations on Sets¶

2.22. Operations on Sets¶

2.23. Dictionaries¶

2.24. Exercise-Sets/Dictionary¶

2.25. CREDITS¶

2.4. The `type` Function¶