NDARRAY 中文是什么意思 - 中文翻译

• ndarray

在 英语 中使用 Ndarray 的示例及其翻译为 中文

An ndarray is made of two parts:.
Ndarray由两部分组成：.

Numpy's array class is called ndarray.
NumPy的数组类被称为ndarray。

Next, create an NDArray on both the CPU and GPU.
接下来，分别在CPU和GPU上创建NDArray。

NumPy's multidimensional array is known as ndarray.
NumPy的数组类被称为ndarray。

For example, each ndarray has a method called repeat:.
例如，每个ndarray都有一个称为repeat的方法：.

Sparse matrix by default instead of a numpy. ndarray.
Sparse矩阵而不是numpy.ndarray。

Ndarray is a class, possessing numerous methods and attributes.
我们知道ndarray是一个类，拥有许多方法和属性。

Sparse matrix by default instead of a numpy. ndarray.
Sparse矩阵，而非numpy.ndarray。

We can get the NDArray instance shape through the shape property.
我们可以通过shape属性来获取NDArray实例形状。

Sparse matrix by default instead of a numpy. ndarray.
Sparse默认使用一个矩阵而不是一个numpy.ndarray。

We can get the NDArray instance shape through the shape property.
我们可以通过shape属性来获取NDArray实例的形状。

As you can see in the above code a NumPy array is actually called an ndarray.
正如你在上面的代码中看到的，NumPy数组实际上被称为ndarray。

For example, ndarray is a class, possessing numerous methods and attributes.
例如，ndarray是一个类，拥有许多方法和属性。

The most important object defined in NumPy is the N-dimensional array type called ndarray.
Numpy中定义的最重要的对象是称为ndarray的N维数组类型。

For example, ndarray is a class, possessing numerous methods and attributes.
例如，ndarray是一个类，它拥有许多方法和属性。

The most important object defined in NumPy is the N-dimensional array type called ndarray.
NumPy中定义的最重要的Object是称为ndarray的N维数组类型。

In the above example, an ndarray object is prepared by arange() function.
在上面的示例中,ndarrayObject是通过arange()函数准备的。

An ndarray with structured data type which has been subclassed as np.
与'structureddatatype'_的'ndarray'_，它已经被子类化为np.

To select a subset of rows in a specific order, simply pass in a list of integers or ndarray s for the specified order:.
为了以特定顺序选取子集，只需传入一个指定顺序的整数列表或ndarray即可：.

Ndarray or one of its subclass(which is actually what using the data attribute does).
Ndarray或其子类之一（这实际上是使用data属性所做的）。

Many unary operations, such as computing the sum of all the elements in the array, are implemented as methods of the ndarray class.
许多非数组运算，如计算数组所有元素之和，被作为ndarray类的方法实现.

An ndarray is a generic multidimensional container for homogeneous data; that is, all of the elements must be the same type.
Ndarray是一个同种类数据的多维容器，也就是说，它的所有元素都是同类型的。

Many unary operations, such as computing the sum of all the elements in the array, are implemented as methods of the ndarray class.
许多类似于求数组所有元素的和的一元操作都是作为ndarray类的方法实现的。

An ndarray is a generic multidimensional container for homogeneous data; that is, all of the elements must be the same type.
Ndarray是一个通用的同构数据多维容器，也就是说，其中的所有元素必须是相同类型的。

Many unary operations, such as computing the sum of all the elements in the array, are implemented as methods of the NdArray class:.
许多一元操作，例如计算数组中所有元素的总和，都是作为ndarray类的方法实现的。

Any item extracted from the ndarray object(by slicing) is represented by a Python object of one of array scalar types.
从ndarrayObject提取(通过切片)的任何项都由数组标量类型之一的PythonObject表示。

One of the key features of NumPy is its N-dimensional array object, or ndarray, which is a fast, flexible container for large datasets in Python.
NumPy的一个关键特性是它的N维数组对象(ndarray)，它在Python中是一个大型数据集的快速的，灵活的容器。

Whenever you see“array,”“NumPy array,” or“ndarray” in the text, with few exceptions they all refer to the same thing: the ndarray object.
每当你在正文中看见“array”,“NumPyarray”,or“ndarray”，除了很少的列外之外，它们都指的是同一个东西：ndarray对象。

This flexibility has allowed the NumPy array dialect and NumPy ndarray class to become the de-facto language of multi-dimensional data interchange used in Python.
这种灵活性使NumPy数组方言和NumPyndarray类成为在Python中使用的多维数据交换的首选对象。