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講解對(duì)象：【Colab系列】Colab中的numpy模塊
作者：融水公子 rsgz
文章出處：360doc個(gè)人圖書館[其他平臺(tái)均為盜版] 
提醒：建議大家電腦瀏覽我的網(wǎng)頁，因?yàn)槭謾C(jī)瀏覽網(wǎng)頁 代碼會(huì)自動(dòng)縮成一行，很不方便

1 首先 我們進(jìn)入colab
2 先導(dǎo)入這個(gè)模塊

import numpy as np

我們快捷鍵Ctrl+enter運(yùn)行代碼 是沒有任何反應(yīng)的 因?yàn)橹皇菍?dǎo)入模塊 并沒有要求輸出什么對(duì)象，所以說很正常

3 如果你不放心 覺得這可能是一個(gè)報(bào)錯(cuò) 或者說colab里面沒有預(yù)先安裝numpy模塊  那么我換換一個(gè)numpy1導(dǎo)入 試試看

分析：里面是報(bào)錯(cuò)的 恰恰證明了 numpy模塊其實(shí) colab已經(jīng)準(zhǔn)備好了 直接拿來使用就行了 如果我們?cè)趙indows cmd中 還需要使用下面的命令下載這個(gè)模塊才能使用  

pip install numpy

4 下面要講解的內(nèi)容之前 我先簡(jiǎn)介一下 numpy的一個(gè)子模塊以及他的作用

numpy.linalg.eigvals(a)：計(jì)算矩陣的特征值numpy.random.rand(d0, d1, ..., dn)：定一個(gè)數(shù)組，并使用 [0, 1) 區(qū)間隨機(jī)數(shù)據(jù)填充，這些數(shù)據(jù)均勻分布%timeit：行魔術(shù) 作用就是計(jì)算代碼運(yùn)行時(shí)間

5 好了 既然了解上上面的基礎(chǔ)知識(shí) 我們開始運(yùn)行代碼試試

import numpy as np%timeit np.linalg.eigvals(np.random.rand(100,100))--------------------------運(yùn)行結(jié)果：100 loops, best of 3: 9.15 ms per loop

6 大家可能還是不理解這一連串代碼的含義，那么我分別 分開執(zhí)行代碼 你們就理解了

import numpy as npnp.random.rand(100,100)-------------------------------------------array([[0.16350277, 0.37400986, 0.10178194, ..., 0.32097701, 0.1236406 ,        0.69012982],       [0.67244973, 0.80989966, 0.69928216, ..., 0.08353696, 0.79816447,        0.43216955],       [0.04322875, 0.91927785, 0.96039567, ..., 0.18260893, 0.65009984,        0.49157518],       ...,       [0.96179641, 0.15853575, 0.47757648, ..., 0.31463299, 0.92844948,        0.22672775],       [0.84039929, 0.44765895, 0.18632183, ..., 0.42013944, 0.63246891,        0.19807404],       [0.95109206, 0.28346964, 0.79318681, ..., 0.3488978 , 0.72919665,        0.52356033]])

計(jì)算矩陣特征值

import numpy as npnp.linalg.eigvals(np.random.rand(100,100))----------------------------------------------array([ 4.98688515e+01+0.j        ,  2.94358500e+00+0.39372138j,        2.94358500e+00-0.39372138j,  2.35359342e+00+1.66540043j,        2.35359342e+00-1.66540043j, -2.08735822e+00+2.02297922j,       -2.08735822e+00-2.02297922j,  2.61822599e+00+0.48100139j,        2.61822599e+00-0.48100139j,  2.52007100e+00+0.82237737j,        2.52007100e+00-0.82237737j,  2.18774082e+00+1.5428337j ,        2.18774082e+00-1.5428337j , -2.86232242e+00+0.j        ,        1.29284401e+00+2.40761747j,  1.29284401e+00-2.40761747j,       -2.62728724e-01+2.74054182j, -2.62728724e-01-2.74054182j,        3.90579355e-01+2.64091009j,  3.90579355e-01-2.64091009j,       -2.63565758e+00+0.10544969j, -2.63565758e+00-0.10544969j,       -1.92677751e+00+1.80026535j, -1.92677751e+00-1.80026535j,       -1.20257141e+00+2.26796126j, -1.20257141e+00-2.26796126j,        8.57605035e-01+2.34251948j,  8.57605035e-01-2.34251948j,       -2.32258644e+00+0.73203228j, -2.32258644e+00-0.73203228j,        1.24517400e+00+2.10278497j,  1.24517400e+00-2.10278497j,       -6.58807923e-01+2.37933184j, -6.58807923e-01-2.37933184j,       -1.90068618e+00+1.28159438j, -1.90068618e+00-1.28159438j,       -3.94619768e-01+2.28014446j, -3.94619768e-01-2.28014446j,        1.47024478e+00+1.65197049j,  1.47024478e+00-1.65197049j,       -9.75808102e-01+2.01345677j, -9.75808102e-01-2.01345677j,        3.60730899e-02+2.20199655j,  3.60730899e-02-2.20199655j,       -1.30087924e+00+1.58701533j, -1.30087924e+00-1.58701533j,       -1.96926219e+00+0.33887089j, -1.96926219e+00-0.33887089j,        1.67697895e+00+1.06938718j,  1.67697895e+00-1.06938718j,       -1.53689480e+00+1.03937219j, -1.53689480e+00-1.03937219j,       -1.84884558e+00+0.j        ,  1.77648815e+00+0.59702772j,        1.77648815e+00-0.59702772j, -1.61232897e+00+0.76028212j,       -1.61232897e+00-0.76028212j,  4.35460936e-01+1.72786858j,        4.35460936e-01-1.72786858j,  1.59237786e+00+0.j        ,        9.01864182e-01+1.44284542j,  9.01864182e-01-1.44284542j,       -8.79438533e-01+1.50520595j, -8.79438533e-01-1.50520595j,        1.46895682e+00+0.68125497j,  1.46895682e+00-0.68125497j,       -6.39873806e-01+1.62912958j, -6.39873806e-01-1.62912958j,       -1.65966584e+00+0.11489318j, -1.65966584e+00-0.11489318j,        1.36418785e+00+0.j        ,  1.08037042e+00+0.97289752j,        1.08037042e+00-0.97289752j,  1.87854535e-01+1.53337093j,        1.87854535e-01-1.53337093j,  1.17840609e+00+0.j        ,       -1.32999101e-01+1.41908441j, -1.32999101e-01-1.41908441j,       -2.56589953e-01+1.34938522j, -2.56589953e-01-1.34938522j,        6.40772344e-01+1.04624058j,  6.40772344e-01-1.04624058j,        4.26505612e-01+1.08850977j,  4.26505612e-01-1.08850977j,       -9.33501429e-01+0.8121111j , -9.33501429e-01-0.8121111j ,       -2.26618289e-01+0.86841114j, -2.26618289e-01-0.86841114j,        6.38558850e-01+0.39603606j,  6.38558850e-01-0.39603606j,        2.81993337e-01+0.24234895j,  2.81993337e-01-0.24234895j,        5.77502304e-01+0.49656662j,  5.77502304e-01-0.49656662j,       -5.88368540e-01+0.22915341j, -5.88368540e-01-0.22915341j,       -4.54324260e-01+0.49207133j, -4.54324260e-01-0.49207133j,       -6.10408376e-01+0.05428372j, -6.10408376e-01-0.05428372j])

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