numpy
目录：
numpy.load
numpy.linspace
numpy.flipud
numpy.rot90
numpy.flipud
numpy.random.choice
numpy.random.randint
numpy.random.shuffle
numpy.random.normal
numpy.random.seed
numpy.random.rand
numpy.invert
numpy.concatenate
numpy.argmax
numpy.ndarray.astype
numpy.append
numpy.arange
numpy.ndarray.flatten
numpy.ravel
numpy.clip
Numpy官网：http://www.numpy.org/
Quickstart tutorial：https://docs.scipy.org/doc/numpy/user/quickstart.html
https://blog.csdn.net/wc781708249/article/details/78194039?locationNum=10&fps=1
np.array()
http://www.cnblogs.com/thebreakofdawn/articles/8711051.html
Basic Operations：
中文参考链接：https://blog.csdn.net/u010758410/article/details/71600608
https://blog.csdn.net/sinat_26917383/article/details/52290505
https://blog.csdn.net/sunny2038/article/details/9002531
(英文)Scipy.org:https://docs.scipy.org/doc/numpy/reference/arrays.ndarray.html#array-attributes
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python 里 np.array 的shape (2,)与(2,1)的分别是什么意思，区别是什么？
参考链接：https://zhidao.baidu.com/question/243724134053649164.html
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目录（索引）：
numpy.load
https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.load.html
numpy.ones
参考链接：https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ones.html#numpy.ones
numpy.random.choice
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.choice.html
numpy.random.randint
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.randint.html
numpy.random.rand
参考链接: https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.rand.html
numpy.chararray.tolist
https://blog.csdn.net/akagi_/article/details/76382918
https://blog.csdn.net/qq_18433441/article/details/55045035
numpy.empty
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.empty.html
numpy.copy
参考链接1：https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.copy.html
参考链接2：https://blog.csdn.net/u010099080/article/details/59111207
3：https://www.cnblogs.com/lindaxin/p/7978559.html
numpy.reshape
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.reshape.html
参考链接：https://stackoverflow.com/questions/18691084/what-does-1-mean-in-numpy-reshape
https://blog.csdn.net/form88/article/details/78615775
https://blog.csdn.net/guotong1988/article/details/55510766
argsort()
argsort()函数是将x中的元素从小到大排列，提取其对应的index(索引)，然后输出
https://www.cnblogs.com/yyxf1413/p/6253995.html
https://blog.csdn.net/u011475210/article/details/77770751
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.argsort.html
numpy.where
https://docs.scipy.org/doc/numpy/reference/generated/numpy.where.html
https://blog.csdn.net/qq_30401249/article/details/72757861
https://www.zhihu.com/question/62844162
numpy.argwhere
返回满足条件的索引！
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.argwhere.html
numpy.delete
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.delete.html
参考链接：https://blog.csdn.net/weixin_37895339/article/details/78442555
其他：https://blog.csdn.net/sinat_27693393/article/details/73195570
numpy.hstack
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.hstack.html
numpy.vstack
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.vstack.html
numpy.prod
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.prod.html
其他：https://blog.csdn.net/liyaohhh/article/details/51111115
numpy.ndarray.astype
参考链接：https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.astype.html
numpy.load
参考链接：https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.load.html
numpy.linspace
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.linspace.html
numpy.flipud
参考链接：https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.flipud.html
numpy.rot90
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.rot90.html
numpy.zeros
numpy.flipud
参考链接:https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.flipud.html
numpy.random.shuffle
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.shuffle.html
numpy.random.normal
numpy.random.normal(loc=0.0, scale=1.0, size=None)
loc: 均值(Mean (“centre”) of the distribution)；
http://blog.shakehandwithlife.in/2014/06/normal-curve-area-under-normal-curve.html
scale: 方差（Standard deviation (spread or “width”) of the distribution.），如下图对“方差“（均值相同，方差变化）理解：
http://blog.shakehandwithlife.in/2014/06/normal-curve-area-under-normal-curve.html
https://slideplayer.com/slide/7268889/
https://slideplayer.com/slide/7268889/
http://reliawiki.org/index.php/Statistical_Background_on_DOE
参考链接：
https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.normal.html
https://en.wikipedia.org/wiki/Standard_deviation
numpy.random.seed
参考链接：
https://blog.csdn.net/linzch3/article/details/58220569
其他参考链接：
https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.seed.html
http://www.runoob.com/python/func-number-seed.html
https://blog.csdn.net/a821235837/article/details/52839050
numpy.invert
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.invert.html
numpy.concatenate
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.concatenate.html
numpy.argmax
注意：求最大值返回的所在行或者列的索引号，而不是对应的数值！
其他参考：http://blog.csdn.net/u013713117/article/details/53965572
numpy.ndarray.astype
Copy of the array, cast to a specified type.
参考链接：https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.astype.html
Data types：
参考链接：https://docs.scipy.org/doc/numpy-1.13.0/user/basics.types.html
numpy.arange
Returns: arange : ndarray
参考链接：https://docs.scipy.org/doc/numpy/reference/generated/numpy.arange.html
注意与range()比较：
https://www.cnblogs.com/thebreakofdawn/articles/8945356.html
range() 函数返回的是一个可迭代对象（类型是对象），而不是列表类型， 所以打印的时候不会打印列表。
list() 函数是对象迭代器，把对象转为一个列表。返回的变量类型为列表。
https://www.cnblogs.com/scofi/p/4902640.html
numpy.ndarray.flatten
https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.flatten.html
numpy.ravel
https://docs.scipy.org/doc/numpy/reference/generated/numpy.ravel.html
numpy.clip
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.clip.html
numpy.clip(a, a_min, a_max, out=None)
一句话描述：将a中数在a_min和a_max之外的数替换（小于a_min的数都替换成a_min；大于a_max的书都替换成a_max）
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