java.lang.Object
- java.lang.Enum<NpyDataType>
- - org.meteoinfo.ndarray.io.npy.NpyDataType

所有已实现的接口:

Serializable, Comparable<NpyDataType>
```
public enum NpyDataType
extends Enum<NpyDataType>
```
An enumeration of supported NumPy data types.

另请参阅:

https://numpy.org/doc/stable/reference/arrays.dtypes.html

枚举常量概要

枚举常量
枚举常量	说明
`bool`	Booleans
`f2`	16 bit floating point numbers
`f4`	32 bit floating point numbers
`f8`	64 bit floating point numbers
`i1`	8-bit signed integers
`i2`	16 bit signed integers
`i4`	32 bit signed integers
`i8`	64 bit signed integers
`S`
`U`
`u1`	8-bit unsigned integers
`u2`	16 bit unsigned integers
`u4`	32 bit unsigned integers
`u8`	64 bit unsigned integers

方法概要

所有方法静态方法实例方法具体方法
修饰符和类型	方法	说明
`static NpyByteOrder`	`byteOrderOf(String dtype)`	Get the byte order of the given data type description.
`static NpyDataType`	`of(String dtype)`	Tries to find the data type for the given symbol.
`int`	`size()`	For fixed sized data types, returns the number of bytes that are required to store a value of this type.
`String`	`symbol()`	Get the NPY symbol of the data type.
`String`	`toString()`
`static NpyDataType`	`valueOf(String name)`	返回带有指定名称的该类型的枚举常量。
`static NpyDataType[]`	`values()`	按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。

从类继承的方法 java.lang.Enum
clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, valueOf

从类继承的方法 java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- 枚举常量详细资料
  - bool
```
public static final NpyDataType bool
```
    Booleans
  - f2
```
public static final NpyDataType f2
```
    16 bit floating point numbers
  - f4
```
public static final NpyDataType f4
```
    32 bit floating point numbers
  - f8
```
public static final NpyDataType f8
```
    64 bit floating point numbers
  - i1
```
public static final NpyDataType i1
```
    8-bit signed integers
  - i2
```
public static final NpyDataType i2
```
    16 bit signed integers
  - i4
```
public static final NpyDataType i4
```
    32 bit signed integers
  - i8
```
public static final NpyDataType i8
```
    64 bit signed integers
  - u1
```
public static final NpyDataType u1
```
    8-bit unsigned integers
  - u2
```
public static final NpyDataType u2
```
    16 bit unsigned integers
  - u4
```
public static final NpyDataType u4
```
    32 bit unsigned integers
  - u8
```
public static final NpyDataType u8
```
    64 bit unsigned integers
  - S
```
public static final NpyDataType S
```
  - U
```
public static final NpyDataType U
```
- 方法详细资料
  - values
```
public static NpyDataType[] values()
```
    按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。该方法可用于迭代常量, 如下所示:
    for (NpyDataType c : NpyDataType.values()) System.out.println(c);
    返回:
    
    按照声明该枚举类型的常量的顺序返回的包含这些常量的数组
  - valueOf
```
public static NpyDataType valueOf(String name)
```
    返回带有指定名称的该类型的枚举常量。字符串必须与用于声明该类型的枚举常量的标识符完全匹配。(不允许有多余的空格字符。)
    
    参数:
    
    name - 要返回的枚举常量的名称。
    
    返回:
    
    返回带有指定名称的枚举常量
    
    抛出:
    
    IllegalArgumentException - 如果该枚举类型没有带有指定名称的常量
    
    NullPointerException - 如果参数为空值
  - toString
```
public String toString()
```
    覆盖:
    
    toString 在类中 Enum<NpyDataType>
  - symbol
```
public String symbol()
```
    Get the NPY symbol of the data type.
    
    返回:
    
    the NPY symbol of the data type, e.g. i4.
  - size
```
public int size()
```
    For fixed sized data types, returns the number of bytes that are required to store a value of this type. Returns 0 for variable sized types (the string types S and U). This method is similar to the NumPy method numpy.dtype.itemsize.
    >>> import numpy as np >>> np.dtype('i4').itemsize 4 >>> np.dtype('U').itemsize 0
    返回:
    
    for fixed sized types the number of bytes to store a single value, for variable sized types like strings 0.
  - of
```
public static NpyDataType of(String dtype)
```
    Tries to find the data type for the given symbol. The behavior is a bit like numpy.dtype('[the type name or symbol]'). The given symbol can have a prefix that indicates the byte order.
    
    参数:
    
    dtype - the data type symbol (e.g. i4, int32, <i4)
    
    返回:
    
    the data type or null if there is no matching type defined.
  - byteOrderOf
```
public static NpyByteOrder byteOrderOf(String dtype)
```
    Get the byte order of the given data type description. It tries to identify it from the first character of that type description:
    
    = hardware native
    
    < little-endian
    
    > big-endian
    
    | not applicable
    参数:
    
    dtype - the data type description (e.g. <i4)
    
    返回:
    
    the identified byte-order or NpyByteOrder.NOT_APPLICABLE if it is not specified in the given type string
    
    另请参阅:
    
    https://numpy.org/doc/stable/reference/generated/numpy.dtype.byteorder.html

枚举 NpyDataType

枚举常量概要

方法概要

从类继承的方法 java.lang.Enum

从类继承的方法 java.lang.Object

枚举常量详细资料

bool

f2

f4

f8

i1

i2

i4

i8

u1

u2

u4

u8

S

U

方法详细资料

values

valueOf

toString

symbol

size

of

byteOrderOf