1: 概述

今天升级annacoda 插件 spyder  (4.0.0 )的时候 提示安装kite ,这是什么玩意? 下载下来试一试? 原来:就是一个代码提示插件..

说白了" 就是让开发者 在轻量级编辑器环境下 有一个高端的代码提示环境  "

Kite 使用教程

Kite 安装教程

2 安装

提供 Install for macOS or Linux win 三大版本支持

注意: 默认是安装在C盘 ,不会给你选择安装盘符的选项

安装完成后: 输入你的邮箱 进行绑定注册

进入插件选项,选择 你使用的编辑器插件,,这里我安装了 pyecharm

3: annacoda 环境配置

Preferences > Completions and linting > Completion 下面打上√

Preferences > Completions and linting > Advanced > Enable Kite (if the Kite engine is running) 打上√

上面完全设置好了以后 :  spyder 下标栏 出现kite

下面写一段代码试一试:

importnumpy as npprint(np.random.randint(1,100));

4: 其他使用姿势

查询某个模块的使用方法:

假设 查询 numpy 使用方法: 方法很详细

SIGNATURE

low,

high=None,

size=None,

dtype=‘l‘RETURNSint|ndarray

HOW OTHERS USED THIS

randint(?low, high?)

randint(?low?)

randint(?low, high, size?)

randint(?low, size?)

randint(?low, high, size?)

DOCUMENTATION

randint(low, high=None, size=None, dtype=‘l‘)

Return random integersfrom`low` (inclusive) to `high` (exclusive).

Return random integersfrom the "discrete uniform"distribution of

the specified dtypein the "half-open"interval [`low`, `high`). If

`high`is None (the default), then results are from[0, `low`).

Parameters----------low : int

Lowest (signed) integer to be drawnfromthe distribution (unless

``high=None``, in which case this parameter isone above the*highest*such integer).

high : int, optional

If provided, one above the largest (signed) integer to be drawnfrom the distribution (see above for behavior if ``high=None``).

size : intortuple of ints, optional

Output shape. If the given shapeis, e.g., ``(m, n, k)``, then

``m* n * k`` samples are drawn. Default is None, inwhich case a

single valueisreturned.

dtype : dtype, optional

Desired dtype of the result. All dtypes are determined by their

name, i.e.,‘int64‘, ‘int‘, etc, so byteorder is notavailableanda specific precision may have different C types depending

on the platform. The default valueis ‘np.int‘.

.. versionadded::1.11.0

Returns-------out : intorndarray of ints

`size`-shaped array of random integers fromthe appropriate

distribution,or a single such random int if `size` notprovided.

See Also--------random.random_integers : similar to `randint`, onlyforthe closed

interval [`low`, `high`],and 1 is the lowest value if `high` isomitted. In particular, this other oneisthe one to use to generate

uniformly distributed discrete non-integers.

Examples--------

>>> np.random.randint(2, size=10)

array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0])>>> np.random.randint(1, size=10)

array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])

Generate a2 x 4 array of ints between 0 and 4, inclusive:>>> np.random.randint(5, size=(2, 4))

array([[4, 0, 2, 1],

[3, 2, 2, 0]])

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缺点: 我发现国内的某些库 不支持 , 支合适那些 开源库 很大的

主题设置: