python数值类型_Python数值类型

python数值类型

In programming, Data Types are an essential concept. Data of various types can be stored in variables as per the task we want the variables to perform.

在编程中，数据类型是必不可少的概念。根据我们希望变量执行的任务，各种类型的数据可以存储在变量中。

The built-in data types in Python are

Python中的内置数据类型是

Text Type

文字类型
Numeric Type

数值类型
Mapping Type

映射类型
Sequence Type

序列类型
Set Type

设定类型
Boolean Type

布尔型
Binary Type

二进制类型

In this tutorial, we are going to learn about the various numeric types in Python with examples.

在本教程中，我们将通过示例学习Python中的各种数字类型 。

To store numeric values, we need specific numeric data types. Python has some of the data types to define numeric values – these numeric data types can be used to store various numeric values.

要存储数值，我们需要特定的数值数据类型。 Python具有一些用于定义数值的数据类型-这些数值数据类型可用于存储各种数值。

There are 3 numeric data types in Python:

Python中有3种数字数据类型：

int

整型
float

浮动
complex

复杂

1)int (1) int)

Integer numeric type is used to store signed integers with no decimal points, like -5, 2, 78, etc.

整数数字类型用于存储无小数点的带符号整数，例如--5、2、78等。

Example:

例：

# Assigning integer values to Variables
x = 8
y = -9
# Manipulating the value of x
x = x + y
# Prints the updated value of x
print("x= ", x)
# Prints the Data Type of x
print("Data type of x: ", type(x))

Output

输出量

x=  -1
Data type of x:  <class 'int'>

2)浮动 (2) float)

Float numeric type is used to store floating-point values like 6.66, 58.9, 3.14, etc. Floats can also be in scientific notation, with E or e indicating the power of 10 (3.6e3 = 3.6x 10³= 3600).

浮点数字类型用于存储浮点值，例如6.66、58.9、3.14等。浮点数也可以用科学计数法表示，E或e表示10的幂(3.6e3 = 3.6x 10 ³ = 3600)。

Example:

例：

# Assigning float values to Variables
x = 8.9
y = -9.1
# Manipulating the value of x
x = x - y
# Prints the updated value of x
print("x= ", x)
# Prints the Data Type of x
print("Data type of x: ", type(x))

Output

输出量

x=  18.0
Data type of x:  <class 'float'>

3)复杂 (3) complex)

Complex numeric type is used to store complex numbers like 3.14j, 8.0 + 5.3j, 2+6j etc.

复数类型用于存储复数，例如3.14j，8.0 + 5.3j，2 + 6j等。

Format: Real + Imaginary component j

格式：实数+虚数j

Note: The imaginary component of a complex number must be denoted by j. If we denote it using i it is considered as invalid syntax in Python.

注意：复数的虚部必须由j表示。如果使用i表示它，则在Python中被视为无效语法。

Example:

例：

# Assigning complex values to Variables
x = 1+8.5j
y = 4+9j
# Manipulating the value of x
x = x + y
# Prints the updated value of x
print("x= ", x)
# Prints the Data Type of x
print("Data type of x: ", type(x))

Output

输出量

x=  (5+17.5j)
Data type of x:  <class 'complex'>

演示所有数值数据类型的示例 (Examples demonstrating all numeric data types)

Let's look at some simple Python programs to demonstrate the numeric data types:

让我们看一些简单的Python程序来演示数字数据类型：

Note: type() is a function used to determine the type of a variable

注意： type()是用于确定变量类型的函数

Example 1: Program to print the data types of variables

示例1：打印变量数据类型的程序

# Assigning Values to Variables
a = 10
b = -1
c = 15.9
d = 6 + 8j
# Printing data type of the Variables
print("Data Type of a: ", type(a))
print("Data Type of b: ", type(b))
print("Data Type of c: ", type(c))
print("Data Type of d: ", type(d))

Output

输出量

Data Type of a:  <class 'int'>
Data Type of b:  <class 'int'>
Data Type of c:  <class 'float'>
Data Type of d:  <class 'complex'>

Example 2: Program to add complex numbers to integer and float type numbers

示例2：将复数添加到整数和浮点型数字的程序

a = 2 + 9j  # complex number
b = 2.8     # floating point number
c = 9       # integer
# addition of complex and integer
comp_plus_int = a + c
# addition of complex and float
comp_plus_float = a + b
# Printing result of addition and
# datatype of the result
print("Sum of complex and integer values= ",comp_plus_int)
print("Data Type After addition: ", type(comp_plus_int))
print()
print("Sum of complex and float values= ", comp_plus_float)
print("Data Type After addition: ", type(comp_plus_float))

Output

输出量

Sum of complex and integer values=  (11+9j)
Data Type After addition:  <class 'complex'>
Sum of complex and float values=  (4.8+9j)
Data Type After addition:  <class 'complex'>

翻译自: https://www.includehelp.com/python/numeric-types.aspx

python数值类型