翻译 + 修复 (#13)

* （更新）常用API/数学函数/三角函数 * （修改）修改[数组对象/N维数组]的翻译错误项 * （翻译）[常用API/数学函数]

Author: jiawei666

docs/reference/arrays/ndarray.md

@@ -1,24 +1,21 @@
 # N维数组（``ndarray``）
 
 一个 [``ndarray``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)是具有相同类型和大小的项目的（通常是固定大小的）多维容器。
-尺寸和数组中的项目的数量是由它的定义[``shape``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.shape.html#numpy.ndarray.shape)，
-它是一种[``tuple``](https://docs.python.org/dev/library/stdtypes.html#tuple)的 *Ñ* 指定每一维的尺寸非负整数。
-数组中的项类型由单独的[数据类型对象（dtype）指定](dtypes.html)，
+尺寸和数组中的项目的数量是由它的[``shape``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.shape.html#numpy.ndarray.shape)定义，
+它是由N个非负整数组成的[``tuple``](https://docs.python.org/dev/library/stdtypes.html#tuple)（元组），用于指定每个维度的大小。
+数组中项目的类型由单独的[``data-type object (dtype)``](https://numpy.org/doc/1.17/reference/arrays.dtypes.html#arrays-dtypes)指定，
 其中一个与每个ndarray相关联。
 
-与Python中的其他容器对象一样，[``ndarray``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)
-可以通过[索引或切片](indexing.html)
-数组（例如，使用 *N个* 整数）
-以及通过方法和属性来访问和修改an的内容[``ndarray``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)。
+与Python中的其他容器对象一样，可以通过对数组进行[索引或切片](https://numpy.org/doc/1.17/reference/arrays.indexing.html#arrays-indexing)（例如，使用N个整数）以及通过[``ndarray``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)的方法和属性来访问和修改[``ndarray``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)的内容。
 
-不同[``ndarrays``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)可以共享相同的数据，
-因此在一个中[``ndarray``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)进行的更改可能在另一个中可见。
+不同的是,[``ndarrays``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)可以共享相同的数据，
+因此在一个[``ndarray``](https://numpy.org/devdocs/reference/generated/numpy.ndarray.html#numpy.ndarray)中进行的更改可能在另一个中可见。
 也就是说，ndarray可以是另一个ndarray 的 *“view”* ，它所指的数据由 *“base”* ndarray处理。
 ndarrays也可以是Python拥有的内存[``strings``](https://docs.python.org/dev/library/stdtypes.html#str)或实现 ``buffer`` 或[数组接口](interface.html)的对象的视图。
 
 **例子**：
 
-尺寸为2 x 3的二维数组，由4字节整数元素组成：
+尺寸为2 x 3的二维数组，由4个字节的整数元素组成：
 
 ``` python
 >>> x = np.array([[1, 2, 3], [4, 5, 6]], np.int32)
@@ -381,7 +378,7 @@ array（``bool``）的真值：
 ---|---
 [ndarray.\_\_neg__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__neg__.html#numpy.ndarray.__neg__)(self, /) | -self
 [ndarray.\_\_pos__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__pos__.html#numpy.ndarray.__pos__)(self, /) | +self
-[ndarray.\_\_abs__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__abs__.html#numpy.ndarray.__abs__)(self) | 
+[ndarray.\_\_abs__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__abs__.html#numpy.ndarray.__abs__)(self) |
 [ndarray.\_\_invert__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__invert__.html#numpy.ndarray.__invert__)(self, /) | ~self
 
 算术：
@@ -470,7 +467,7 @@ Matrix 运算符 ``@`` 和 ``@=`` 是在PEP465之后的Python 3.5中引入的。
 ---|---
 [ndarray.\_\_new__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__new__.html#numpy.ndarray.__new__)(\*args, \*\*kwargs) | 创建并返回一个新对象。
 [ndarray.\_\_array__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__array__.html#numpy.ndarray.__array__)() | 如果没有给出dtype，则返回对self的新引用;如果dtype与数组的当前dtype不同，则返回提供的数据类型的新数组。
-[ndarray.\_\_array_wrap__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__array_wrap__.html#numpy.ndarray.__array_wrap__)() | 
+[ndarray.\_\_array_wrap__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__array_wrap__.html#numpy.ndarray.__array_wrap__)() |
 
 容器定制:（参见[索引](indexing.html)）
 
@@ -496,4 +493,3 @@ Matrix 运算符 ``@`` 和 ``@=`` 是在PEP465之后的Python 3.5中引入的。
 ---|---
 [ndarray.\_\_str__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__str__.html#numpy.ndarray.__str__)(self, /) | 返回 str(self)。
 [ndarray.\_\_repr__](https://numpy.org/devdocs/reference/generated/numpy.ndarray.__repr__.html#numpy.ndarray.__repr__)(self, /) | 返回 repr(self)。
-

docs/reference/routines/math.md

@@ -1,22 +1,22 @@
-# Mathematical functions
+# 数学函数
 
-## Trigonometric functions
+## 三角函数
 
 method | description
 ---|---
-[sin](https://numpy.org/devdocs/reference/generated/numpy.sin.html#numpy.sin)(x, /[, out, where, casting, order, …]) | Trigonometric sine, element-wise.
-[cos](https://numpy.org/devdocs/reference/generated/numpy.cos.html#numpy.cos)(x, /[, out, where, casting, order, …]) | Cosine element-wise.
-[tan](https://numpy.org/devdocs/reference/generated/numpy.tan.html#numpy.tan)(x, /[, out, where, casting, order, …]) | Compute tangent element-wise.
-[arcsin](https://numpy.org/devdocs/reference/generated/numpy.arcsin.html#numpy.arcsin)(x, /[, out, where, casting, order, …]) | Inverse sine, element-wise.
-[arccos](https://numpy.org/devdocs/reference/generated/numpy.arccos.html#numpy.arccos)(x, /[, out, where, casting, order, …]) | Trigonometric inverse cosine, element-wise.
-[arctan](https://numpy.org/devdocs/reference/generated/numpy.arctan.html#numpy.arctan)(x, /[, out, where, casting, order, …]) | Trigonometric inverse tangent, element-wise.
-[hypot](https://numpy.org/devdocs/reference/generated/numpy.hypot.html#numpy.hypot)(x1, x2, /[, out, where, casting, …]) | Given the “legs” of a right triangle, return its hypotenuse.
-[arctan2](https://numpy.org/devdocs/reference/generated/numpy.arctan2.html#numpy.arctan2)(x1, x2, /[, out, where, casting, …]) | Element-wise arc tangent of x1/x2 choosing the quadrant correctly.
-[degrees](https://numpy.org/devdocs/reference/generated/numpy.degrees.html#numpy.degrees)(x, /[, out, where, casting, order, …]) | Convert angles from [radians](https://numpy.org/devdocs/reference/generated/numpy.radians.html#numpy.radians) to degrees.
-radians(x, /[, out, where, casting, order, …]) | Convert angles from degrees to radians.
-[unwrap](https://numpy.org/devdocs/reference/generated/numpy.unwrap.html#numpy.unwrap)(p[, discont, axis]) | Unwrap by changing deltas between values to 2*pi complement.
-[deg2rad](https://numpy.org/devdocs/reference/generated/numpy.deg2rad.html#numpy.deg2rad)(x, /[, out, where, casting, order, …]) | Convert angles from degrees to radians.
-[rad2deg](https://numpy.org/devdocs/reference/generated/numpy.rad2deg.html#numpy.rad2deg)(x, /[, out, where, casting, order, …]) | Convert angles from radians to degrees.
+[sin](https://numpy.org/devdocs/reference/generated/numpy.sin.html#numpy.sin)(x, /[, out, where, casting, order, …]) | 正弦函数, element-wise.
+[cos](https://numpy.org/devdocs/reference/generated/numpy.cos.html#numpy.cos)(x, /[, out, where, casting, order, …]) | 余弦函数 element-wise.
+[tan](https://numpy.org/devdocs/reference/generated/numpy.tan.html#numpy.tan)(x, /[, out, where, casting, order, …]) | 正切函数, element-wise.
+[arcsin](https://numpy.org/devdocs/reference/generated/numpy.arcsin.html#numpy.arcsin)(x, /[, out, where, casting, order, …]) | 反正弦函数, element-wise.
+[arccos](https://numpy.org/devdocs/reference/generated/numpy.arccos.html#numpy.arccos)(x, /[, out, where, casting, order, …]) | 反余弦函数, element-wise.
+[arctan](https://numpy.org/devdocs/reference/generated/numpy.arctan.html#numpy.arctan)(x, /[, out, where, casting, order, …]) | 反正切函数, element-wise.
+[hypot](https://numpy.org/devdocs/reference/generated/numpy.hypot.html#numpy.hypot)(x1, x2, /[, out, where, casting, …]) | 传入直角三角形的“直角边”，返回其斜边。
+[arctan2](https://numpy.org/devdocs/reference/generated/numpy.arctan2.html#numpy.arctan2)(x1, x2, /[, out, where, casting, …]) | x1 / x2的 Element-wise 反正切线正确选择象限。
+[degrees](https://numpy.org/devdocs/reference/generated/numpy.degrees.html#numpy.degrees)(x, /[, out, where, casting, order, …]) | 将角度从[弧度](https://numpy.org/devdocs/reference/generated/numpy.radians.html#numpy.radians)转换为度。
+radians(x, /[, out, where, casting, order, …]) | 将角度从度转换为弧度。
+[unwrap](https://numpy.org/devdocs/reference/generated/numpy.unwrap.html#numpy.unwrap)(p[, discont, axis]) | 通过将值之间的增量更改为2 * pi来展开。
+[deg2rad](https://numpy.org/devdocs/reference/generated/numpy.deg2rad.html#numpy.deg2rad)(x, /[, out, where, casting, order, …]) | 将角度从度转换为弧度。
+[rad2deg](https://numpy.org/devdocs/reference/generated/numpy.rad2deg.html#numpy.rad2deg)(x, /[, out, where, casting, order, …]) | 将角度从弧度转换为度。
 
 ## Hyperbolic functions