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Type Conversion and Type Casting

In the followig section, we'll have a quick look at type conversion and type casting.

Type Conversion:

The process of converting the value of one data type (integer, string, float, etc.) to another data type is called type conversion. Python has two types of type conversion.

  1. Implicit Type Conversion
  2. Explicit Type Conversion

Implicit Type Conversion:

In Implicit type conversion, Python automatically converts one data type to another data type. This process doesn't need any user involvement. Let's see an example where Python promotes conversion of lower datatype (integer) to higher data type (float) to avoid data loss.

Example : Converting integer to float

In [ ]:
num_int = 123
num_flo = 1.23

num_new = num_int + num_flo

print("datatype of num_int:",type(num_int))
print("datatype of num_flo:",type(num_flo))

print("Value of num_new:",num_new)
print("datatype of num_new:",type(num_new))
datatype of num_int: <class 'int'>
datatype of num_flo: <class 'float'>
Value of num_new: 124.23
datatype of num_new: <class 'float'>

In the above code,

  • We add two variables num_int and num_flo, storing the value in num_new.
  • We will look at the data type of all three objects respectively.
  • In the output we can see the datatype of num_int is an integer, datatype of num_flo is a float.
  • Also, we can see the num_new has float data type because Python always converts smaller data type to larger data type to avoid the loss of data.

Now, let's try adding a string and an integer, and see how Python treats it.

Example: Addition of string(higher) data type and integer(lower) datatype

In [ ]:
num_int = 123
num_str = "456"

print("Data type of num_int:",type(num_int))
print("Data type of num_str:",type(num_str))

print(num_int+num_str)
Data type of num_int: <class 'int'>
Data type of num_str: <class 'str'>
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-75-6e3c0f0ba491> in <module>
      5 print("Data type of num_str:",type(num_str))
      6 
----> 7 print(num_int+num_str)

TypeError: unsupported operand type(s) for +: 'int' and 'str'

In the above program,

  • We add two variable num_int and num_str.
  • As we can see from the output, we got typeerror. Python is not able use Implicit Conversion in such condition.
  • However Python has the solution for this type of situation which is know as Explicit Conversion.

Explicit Type Conversion:

In Explicit Type Conversion, users convert the data type of an object to required data type. We use the predefined functions like int(), float(), str(), etc to perform explicit type conversion. This type conversion is also called typecasting because the user casts (change) the data type of the objects. Syntax :

(required\_datatype)(expression)

Typecasting can be done by assigning the required data type function to the expression.

Example: Addition of string and integer using explicit conversion

In [ ]:
num_int = 123
num_str = "456"

print("Data type of num_int:",type(num_int))
print("Data type of num_str before Type Casting:",type(num_str))

num_str = int(num_str)
print("Data type of num_str after Type Casting:",type(num_str))

num_sum = num_int + num_str

print("Sum of num_int and num_str:",num_sum)
print("Data type of the sum:",type(num_sum))
Data type of num_int: <class 'int'>
Data type of num_str before Type Casting: <class 'str'>
Data type of num_str after Type Casting: <class 'int'>
Sum of num_int and num_str: 579
Data type of the sum: <class 'int'>

In above program,

  • We add num_str and num_int variable.
  • We converted num_str from string(higher) to integer(lower) type using int() function to perform the addition.
  • After converting num_str to a integer value Python is able to add these two variable.
  • We got the num_sum value and data type to be integer.

Key Points to Remember:

  1. Type Conversion is the conversion of object from one data type to another data type.
  2. Implicit Type Conversion is automatically performed by the Python interpreter.
  3. Python avoids the loss of data in Implicit Type Conversion.
  4. Explicit Type Conversion is also called Type Casting, the data types of object are converted using predefined function by user.
  5. In Type Casting loss of data may occur as we enforce the object to specific data type.

Determining the type of an object

When programming we often want to make sure that a variable is only of a certain type. Hence, we make use of two built-in functions (type() and isinstance()) to check the data type of a variable.

In [ ]:
#Find out what data type a certain variable is
a = "Python"
b = 1.2
c = {1,-2,3}

print(type(a)) # result -> str
print(type(b)) # result -> float
print(type(c)) # result -> set
<class 'str'>
<class 'float'>
<class 'set'>
In [ ]:
#Check if a variable is of a certain data type
isinstance(a, str) #Is variable a of type string? Result -> True
Out[ ]:
True
In [ ]:
isinstance(b, int) #Result -> False
Out[ ]:
False
In [ ]:
#The function isinstance() allows us to check for multiple data types, i.e. we can check if a variable is either int or float. 
# The code looks as follows: 

myVar = 4.4 # this is a float
isinstance(myVar, (int, float))
Out[ ]:
True
In [ ]:
myVar = 4 # this is an integer
isinstance(myVar, (int, float))
Out[ ]:
True