Python small white matrices matrix Note (updating)

Matrix

#python学习之矩阵matrix 2018.4.18#-*-coding:utf-8-*-from numpy import *import numpy as Npimport Matha=np.matrix (' 1 2 7;3 4 8;5 6 9 ') #矩阵的换行必须使用分号隔开, the internal data must be in string form and the elements must be separated by a space between the print (Np.matrix ([[[] 1,2],[3,4])) M=np.asmatrix (a) #将输入的a解释为矩阵m, and modify a value in M m[0,0]=5b=np.array ([[[1,5],[3,2]]) #矩阵中的数据可以为数组对象print (a) print (b) print (m)
#复制矩阵n =m.copy () print (n) #检测一下m和n中所有对应元素是否相等, equal return true.# all requires all elements to be equal to any as long as there is an equal to c= (m==n). All () d= (m==n). any () print ( c) #行与列print (M.all (axis=0)) print (M.all (Axis=1)) #转化为float对象print (M.astype (float)) #返回从小到大排序后的矩阵每行的数的索引构成的矩阵print ( M.argsort ()) #<=12 returns a >=32 return 32print (M.clip (12,32)) #矩阵对象的属性 # Matrix. T transpose: Returns the Matrix's transpose matrix # Matrix. H Hermitian (conjugate) Transpose: Returns the conjugate element matrix of the complex matrix # Matrix. I inverse: Returns the inverse matrix of the matrix # Matrix. A Base array: Returns the matrix based on the array # Matrix object method: # All ([axis, out]): Determines whether all elements of the matrix are true along a given axis (not 0 is true) # any ([axis, out]): Determines whether the matrix element is true along the direction of the given axis, As long as one element is true. # Argmax ([axis, out]): Returns the index of the largest element (the position of the largest element) along the direction of the given axis. # argmin ([axis, out]): Returns the index of the smallest element (the position of the smallest element) along the direction of the given axis # argsort ([axis, kind , order]): Returns the sorted index matrix # Astype (dtype[, order, casting, Subok, copy]): The matrix data is copied and the data type is the specified data type # Byteswap (inplace) Swap the By TES of the array elements# choose (choices[, out, mode]): A new data matrix (indexed from choices given) # Clip (A_min, a_max[, out]): Returns a new moment based on the given index Array, the element larger than the given element is A_max, the smaller is a_min# compress (condition[, axis, out]): Returns the matrix that satisfies the condition # CONJ (): Returns the complex number of the conjugate complex # conjugate () : Returns the conjugate complex element of all complex numbers # copy ([order]): Copies a matrix and assigns it to another object, B=a.copy () # Cumprod ([axis, Dtype, out]): Returns the element accumulation matrix along the specified axis # cumsum ([axis, Dtype, out]): Returns the element accumulation along the specified axis and the matrix # diagonal ([Offset, axis1, Axis2]): Returns the data of the diagonal in The Matrix # dot (b[, out]): Two dot multiplication of matrices # dump (file): stores the matrix as specified Files can be pickle.loads () or numpy.loads () such as: A.dump (' D:\\a.txt ') # dumps (): The data of the matrix is dumped into a string. # Fill (value): Fills all elements in the matrix with the specified value# flatten ([order]): Transforms the matrix into a one-dimensional form, but still a matrix object # Geta (): Returns itself, but returns as Ndarray # getA1 () : Returns a flattened (one-dimensional) array (ndarray) # Geth (): Returns its own conjugate complex transpose matrix # Geti (): Returns the inverse matrix of itself # Gett (): Returns itself to the transpose matrix # max ([axis, out]): Returns the maximum value of the specified axis # mean ([ Axis, Dtype, out]): Returns its mean value in the direction of the given axis # min ([axis, out]): Returns the minimum value of the specified axis # nonzero (): Returns the index matrix of a non-0 element # prod ([axis, Dtype, out]): Returns the specified axis square type, The product of the matrix element. # PTP ([axis, out]): Returns the maximum value minus the minimum value for the specified axis direction. # put (indices, values[, mode]): Replace the value of the given index (indices) position of the matrix with the given value # ravel ([ Order]): Returns an array that is a one-dimensional array or a flat array # repeat (repeats[, axis]): Repeating the elements in the matrix, repeating the matrix elements in the specified axis direction, repeats the number of repetitions # reshape (shape[, order]) : Change the size of the matrix, such as: reshape ([2,3]) # resize (new_shape[, Refcheck]): Change the size of the data # round ([decimals, out]): Returns the matrix after the specified precision, the specified number of digits is rounded, and if 1, retains a decimal # searchsorted (v[, side, Sorter]): Search V in the matrix index position # sort ([axis, kind, order]): Sort matrices or Sort by axis # squeeze ([axis]): Remove the axis of length 1 # std ([axis, Dtype, out, Ddof]): Returns the standard deviation of the element along the direction of the specified axis. # sum ([axis, Dtype, out]) : Returns the sum of its elements in the direction of the specified axis # swapaxes (Axis1, AXIS2): Swaps data on two axes. # Take (indices[, axis, out, mode]): Extracts the data at the specified index location and returns it as a one-dimensional array or matrix ( Depends on axis) # tofile (fid[, Sep, format]): Writes data in the matrix to the file in binary # tolist (): Converts the matrix to a list form # tostring ([order]): Converts a matrix into a python string. # Trace ([Offset, axis1, Axis2, Dtype, out]): Returns the sum of the diagonal elements # Transpose (*axes): Returns the Matrix's transpose matrix without changing the original matrix # var ([axis, Dtype, out, Ddof]): Returns the variance of the matrix element in the direction of the specified axis # view ([Dtype, type]): Generates the same data, but the type is a matrix of the specified new type.

Python small white matrices matrix Note (updating)