Numpy entry library

Dimension Data

Dimensions: The organization of data in a set of

One-dimensional data

  One-dimensional data constituted by ordered or disordered peer relationship data, organized linear

: Lists and arrays ordered structure of a set of data

List: the type of data may be different 

  3.1413 , ' PI ' , 3.1404 , [ 3.1401 , 3.1349 ], ' 3.1376 ' 

arrays: the same data type 

  3.1413 , 3.1398 , 3.1404 , 3.1401 , 3.1349 , 3.1376

Two-dimensional data

  Two-dimensional data composed of a plurality of one-dimensional data, a combination of one-dimensional data

 

Is a typical two-dimensional data table wherein a portion of the header is two-dimensional data

 

 Multidimensional Data

Cube of one or two dimensional spreading data is formed on the new dimension

 

High-dimensional data

 The relationship between the structure of the complex binary data show high-dimensional data using only the most basic

{
    “firstName” : “Tian” ,
    “lastName” : “Song” ,
    “address”   : {
                        “streetAddr” : “中关村南大街5号” ,
                        “city”  : “北京市” ,
                        “zipcode”  : “100081”
                        } ,
     “prof”      : [ “Computer System” , “Security” ]
}    

 

Numpy的数组对象:ndarry

ndarry数组的元素类型

ndarry数组的创建

ndarry数组的变换

ndarry数组的操作

ndarry数组的运算

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Origin www.cnblogs.com/Robin5/p/11479665.html