Numpy_scipy_matplotlib.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NumPy\n",
    "\n",
    "数值计算是科学研究领域使用最多的编程功能。虽然Python自带了一些基本的数学函数以及列表、元组等数据结构，然而并没有对向量运算的天然支持，因而我们需要NumPy这个包来支持Python中的向量运算。\n",
    "\n",
    "NumPy提供了丰富的数值计算方法，由于篇幅所限，我们无法介绍所有的NumPy特性，更多的参考可以从NumPy（包括SciPy）的网站： https://docs.scipy.org/doc/ 找到更加详细的参考。\n",
    "\n",
    "## 向量的创建\n",
    "\n",
    "NumPy最核心的是提供了向量和矩阵两个数据结构，可以方便的使用这些数据结构进行向量的加、减、数乘，以及矩阵的加、减、数乘、乘法、求逆、矩阵分解等运算。\n",
    "\n",
    "在Python中，如果需要使用NumPy，首先要使用pip安装numpy，接着在文件中导入numpy。numpy.array()函数提供了将一个列表转化为一个向量的方法，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "向量a= [1 2 3]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "a = np.array([1, 2, 3])  #创建一个三维向量\n",
    "print('向量a=', a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "此外，还有一些其他的方法创建向量，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b= [1. 1. 1.]\n",
      "b0= [0. 0. 0.]\n",
      "[3.14 3.14 3.14 3.14 3.14]\n"
     ]
    }
   ],
   "source": [
    "b = np.ones(3)  #创建一个元素全为1的三维向量\n",
    "print('b=', b)\n",
    "b0 = np.zeros(3)  #创建一个元素全为0的3维向量\n",
    "print('b0=', b0)\n",
    "iota = np.full(5, 3.14)  #创建一个所有元素全为3.14的5维向量\n",
    "print(iota)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "需要说明的是，在NumPy中，每个array都有严格的类型规定，比如：\n",
    "\n",
    "* bool_ ：布尔值True/False，一个字节\n",
    "* int_  ：整型，默认\n",
    "* intc  ：与C语言的int相同的整型\n",
    "* int8\\int16\\int32\\int64 ：指定位数的整型\n",
    "* uint8\\uint16\\uint32\\uint64 ：指定位数的无符号整型\n",
    "* float_\\float64 ：双精度浮点型\n",
    "* float16 ：半精度浮点型\n",
    "* float32 ：单精度浮点型\n",
    "* complex_\\complex128 ：复数，两个双精度浮点型表示\n",
    "* complex64 ：复数，两个单精度浮点型表示\n",
    "\n",
    "大多数情况下我们不必担心类型的问题，但是如果需要与C交互，或者希望优化代码速度、与PyTorch交互等，可能是一个比较重要的优化方向，比如一般而言如果对精度要求不高，单精度显然比双精度的运算要快得多。\n",
    "\n",
    "如果在创建向量时需要制定类型，可以用dtype选项，如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1. 2. 3.]\n"
     ]
    }
   ],
   "source": [
    "c = np.array([1, 2, 3], dtype='float32')\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以上代码中，我们创建了一个向量，虽然全是整数，但是由于我们指定了类型为单精度浮点型，所以显示时会有小数点。\n",
    "\n",
    "如果需要转换数据类型，使用astype()方法转换即可："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = c.astype('int')\n",
    "c"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "还有两个更加常用的函数:arange(n1,n2,step)以及linespace(n1,n2,N)。其中numpy.arange函数与Python中的range函数类似，创建一个\\[n1,n2)的步长为step的数组；而numpy.linespace函数创建从\\[n1,n2\\]区间平均分为N等份的网格点："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1 11 21 31 41 51 61 71 81 91]\n",
      "0到5等分20等分：\n",
      " [0.         0.26315789 0.52631579 0.78947368 1.05263158 1.31578947\n",
      " 1.57894737 1.84210526 2.10526316 2.36842105 2.63157895 2.89473684\n",
      " 3.15789474 3.42105263 3.68421053 3.94736842 4.21052632 4.47368421\n",
      " 4.73684211 5.        ]\n"
     ]
    }
   ],
   "source": [
    "r = np.arange(1, 101, 10)\n",
    "print(r)\n",
    "lp = np.linspace(0, 5, 20)  #0到5等分20等分\n",
    "print(\"0到5等分20等分：\\n\", lp)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "最后，如果需要创建一个未初始化的向量，可以使用numpy.empty函数，但是注意，因为没有初始化，所以得到的向量中的值可能是任何情况，完全取决于申请的内存的状态，因而使用之前一定要通过某种方式进行初始化。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ True  True False False False False False False False False]\n"
     ]
    }
   ],
   "source": [
    "a = np.empty(10, dtype='bool_')\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 向量运算\n",
    "\n",
    "NumPy支持很多向量运算，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "基本数学运算：元素对元素运算\n",
      "数乘：3*a= [ 3  6  9 12 15]\n",
      "a-b= [-4 -2  0  2  4]\n",
      "a+b= [6 6 6 6 6]\n",
      "a*b= [5 8 9 8 5]\n",
      "b/a= [5.  2.  1.  0.5 0.2]\n",
      "向量运算\n",
      "点乘（内积）a.*b= 35\n",
      "点乘（内积）a.*b= 35\n",
      "外积(a,b)=\n",
      " [[ 5  4  3  2  1]\n",
      " [10  8  6  4  2]\n",
      " [15 12  9  6  3]\n",
      " [20 16 12  8  4]\n",
      " [25 20 15 10  5]]\n",
      "---数组排序---\n",
      "e= [3. 4. 1. 8. 2. 7.]\n",
      "排序后的e： [1. 2. 3. 4. 7. 8.]\n",
      "e中每个元素的排位： [2 4 0 1 5 3]\n",
      "使用np.sort()函数不改变原来的b： [3. 4. 1. 8. 2. 7.]\n",
      "使用e.sort()会替换原来的e： [1. 2. 3. 4. 7. 8.]\n"
     ]
    }
   ],
   "source": [
    "print(\"基本数学运算：元素对元素运算\")\n",
    "a = np.array([1, 2, 3, 4, 5])\n",
    "b = np.array([5, 4, 3, 2, 1])\n",
    "print('数乘：3*a=', 3 * a)\n",
    "print('a-b=', a - b)\n",
    "print('a+b=', a + b)\n",
    "print('a*b=', a * b)\n",
    "print('b/a=', b / a)\n",
    "print('向量运算')\n",
    "c = np.dot(a, b)  #a.*b\n",
    "print('点乘（内积）a.*b=', c)\n",
    "c = np.inner(a, b)  #a.*b\n",
    "print('点乘（内积）a.*b=', c)\n",
    "d = np.outer(a, b)\n",
    "print('外积(a,b)=\\n', d)\n",
    "print(\"---数组排序---\")\n",
    "e = np.array([3., 4, 1, 8, 2, 7])\n",
    "print(\"e=\", e)\n",
    "sorted_e = np.sort(e)\n",
    "print(\"排序后的e：\", sorted_e)\n",
    "argsort_e = np.argsort(e)\n",
    "print(\"e中每个元素的排位：\", argsort_e)\n",
    "print(\"使用np.sort()函数不改变原来的b：\", e)\n",
    "e.sort()\n",
    "print(\"使用e.sort()会替换原来的e：\", e)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里要特别特别注意的是，向量的乘法\\*和除法定义的是**元素对元素**的乘除法，这点与MATLAB等有很大不同。\n",
    "\n",
    "## 多维矩阵及其运算\n",
    "\n",
    "除了可以使用numpy.array()创建向量，也可以创建矩阵，创建矩阵时，提供一个列表的列表，每个列表代表矩阵中的**一行**："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "矩阵A=\n",
      " [[1 2 3]\n",
      " [4 8 6]\n",
      " [4 3 2]]\n"
     ]
    }
   ],
   "source": [
    "A = np.array([[1, 2, 3], [4, 8, 6], [4, 3, 2]])\n",
    "print(\"矩阵A=\\n\", A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "此外NumPy还支持多维矩阵，比如一个$3\\times 3\\times 3$的矩阵："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "矩阵B=\n",
      " [[[1 2 3]\n",
      "  [4 8 6]\n",
      "  [4 3 2]]\n",
      "\n",
      " [[3 4 5]\n",
      "  [7 5 6]\n",
      "  [9 2 0]]\n",
      "\n",
      " [[1 1 1]\n",
      "  [2 2 2]\n",
      "  [4 4 4]]]\n"
     ]
    }
   ],
   "source": [
    "B = np.array([[[1, 2, 3], [4, 8, 6], [4, 3, 2]],\n",
    "              [[3, 4, 5], [7, 5, 6], [9, 2, 0]],\n",
    "              [[1, 1, 1], [2, 2, 2], [4, 4, 4]]])\n",
    "print(\"矩阵B=\\n\", B)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了查看矩阵的维度，可以使用ndim属性："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1, 2, 3])\n",
    "print(a.ndim)\n",
    "print(A.ndim)\n",
    "print(B.ndim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果希望查看每个维度的大小，可以用shape属性："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3,)\n",
      "(3, 3)\n",
      "(3, 3, 3)\n"
     ]
    }
   ],
   "source": [
    "print(a.shape)\n",
    "print(A.shape)\n",
    "print(B.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果希望查看矩阵的总大小，可以用size属性："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n",
      "9\n",
      "27\n"
     ]
    }
   ],
   "source": [
    "print(a.size)\n",
    "print(A.size)\n",
    "print(B.size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果需要知道矩阵的数据类型，用dtype属性："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int64\n",
      "int64\n",
      "int64\n"
     ]
    }
   ],
   "source": [
    "print(a.dtype)\n",
    "print(A.dtype)\n",
    "print(B.dtype)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "之前生成向量的函数几乎都可以用来生成矩阵，仅仅需要将维数换为一个元组，比如如果要生成一个二维矩阵，就用元组给出行数和列数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "矩阵M=\n",
      " [[0 0 0]\n",
      " [0 0 0]\n",
      " [0 0 0]]\n",
      "矩阵O=\n",
      " [[1. 1. 1.]\n",
      " [1. 1. 1.]\n",
      " [1. 1. 1.]]\n",
      "矩阵I=\n",
      " [[1. 0. 0.]\n",
      " [0. 1. 0.]\n",
      " [0. 0. 1.]]\n",
      "矩阵P=\n",
      " [[2.718 2.718 2.718]\n",
      " [2.718 2.718 2.718]]\n",
      "矩阵E=\n",
      " [[ True  True  True]\n",
      " [ True  True  True]]\n"
     ]
    }
   ],
   "source": [
    "M = np.zeros((3, 3), dtype='int_')  #全为0的矩阵3阶方阵\n",
    "print(\"矩阵M=\\n\", M)\n",
    "O = np.ones((3, 3))  #全为1的矩阵3阶方阵\n",
    "print(\"矩阵O=\\n\", O)\n",
    "I = np.eye(3)  #单位阵\n",
    "print(\"矩阵I=\\n\", I)\n",
    "P = np.full((2, 3), 2.718)  #全为2.718的矩阵2-by-3矩阵\n",
    "print(\"矩阵P=\\n\", P)\n",
    "E = np.empty((2, 3), dtype='bool_')  #全为2.718的矩阵2-by-3矩阵\n",
    "print(\"矩阵E=\\n\", E)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "矩阵的运算与向量的运算同理："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A=\n",
      " [[1 2 3]\n",
      " [4 8 6]\n",
      " [4 3 2]]\n",
      "A+I=\n",
      " [[2. 2. 3.]\n",
      " [4. 9. 6.]\n",
      " [4. 3. 3.]]\n",
      "A-I=\n",
      " [[0. 2. 3.]\n",
      " [4. 7. 6.]\n",
      " [4. 3. 1.]]\n",
      "A*I=\n",
      " [[1. 0. 0.]\n",
      " [0. 8. 0.]\n",
      " [0. 0. 2.]]\n",
      "I/A=\n",
      " [[1.    0.    0.   ]\n",
      " [0.    0.125 0.   ]\n",
      " [0.    0.    0.5  ]]\n",
      "矩阵相乘，A@O=\n",
      " [[ 6.  6.  6.]\n",
      " [18. 18. 18.]\n",
      " [ 9.  9.  9.]]\n",
      "矩阵相乘，O@A=\n",
      " [[ 9. 13. 11.]\n",
      " [ 9. 13. 11.]\n",
      " [ 9. 13. 11.]]\n",
      "矩阵相乘，A@O=\n",
      " [[ 6.  6.  6.]\n",
      " [18. 18. 18.]\n",
      " [ 9.  9.  9.]]\n",
      "矩阵相乘，O@A=\n",
      " [[ 9. 13. 11.]\n",
      " [ 9. 13. 11.]\n",
      " [ 9. 13. 11.]]\n",
      "矩阵的迹，trace(A)=\n",
      " 11\n",
      "矩阵转置，tranpose(A)=\n",
      " [[1 4 4]\n",
      " [2 8 3]\n",
      " [3 6 2]]\n",
      "矩阵转置，A.T=\n",
      " [[1 4 4]\n",
      " [2 8 3]\n",
      " [3 6 2]]\n",
      "矩阵转换为向量，vec(A)= [1 2 3 4 8 6 4 3 2]\n",
      "Kronecker乘积A⊗I=\n",
      " [[1. 0. 0. 2. 0. 0. 3. 0. 0.]\n",
      " [0. 1. 0. 0. 2. 0. 0. 3. 0.]\n",
      " [0. 0. 1. 0. 0. 2. 0. 0. 3.]\n",
      " [4. 0. 0. 8. 0. 0. 6. 0. 0.]\n",
      " [0. 4. 0. 0. 8. 0. 0. 6. 0.]\n",
      " [0. 0. 4. 0. 0. 8. 0. 0. 6.]\n",
      " [4. 0. 0. 3. 0. 0. 2. 0. 0.]\n",
      " [0. 4. 0. 0. 3. 0. 0. 2. 0.]\n",
      " [0. 0. 4. 0. 0. 3. 0. 0. 2.]]\n",
      "---矩阵排序---\n",
      "按行排序：\n",
      " [[1 2 3]\n",
      " [4 6 8]\n",
      " [2 3 4]]\n",
      "按列排序：\n",
      " [[1 2 2]\n",
      " [4 3 3]\n",
      " [4 8 6]]\n"
     ]
    }
   ],
   "source": [
    "A = np.array([[1, 2, 3], [4, 8, 6], [4, 3, 2]])\n",
    "print(\"A=\\n\", A)\n",
    "O = np.ones((3, 3))  #全为1的矩阵3阶方阵\n",
    "I = np.eye(3)  #单位阵\n",
    "print(\"A+I=\\n\", A + I)\n",
    "print(\"A-I=\\n\", A - I)\n",
    "print(\"A*I=\\n\", A * I)\n",
    "print(\"I/A=\\n\", I / A)\n",
    "print(\"矩阵相乘，A@O=\\n\", np.dot(A, O))\n",
    "print(\"矩阵相乘，O@A=\\n\", np.dot(O, A))\n",
    "print(\"矩阵相乘，A@O=\\n\", A @ O)\n",
    "print(\"矩阵相乘，O@A=\\n\", O @ A)\n",
    "print(\"矩阵的迹，trace(A)=\\n\", np.trace(A))\n",
    "At = A.transpose()\n",
    "print(\"矩阵转置，tranpose(A)=\\n\", At)\n",
    "AT = A.T\n",
    "print(\"矩阵转置，A.T=\\n\", AT)\n",
    "print(\"矩阵转换为向量，vec(A)=\", A.flatten())\n",
    "print(\"Kronecker乘积A⊗I=\\n\", np.kron(A, I))\n",
    "print(\"---矩阵排序---\")\n",
    "print(\"按行排序：\\n\", np.sort(A, axis=1))\n",
    "print(\"按列排序：\\n\", np.sort(A, axis=0))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "同样，**乘法\\*和除法/定义的是元素对元素的乘除法，切记！**，如果需要计算矩阵相乘，需要使用**numpy.dot()函数或者「@」运算符**！\n",
    "\n",
    "此外，numpy.linalg包里面包含了很多线性代数特性，比如常见的有：\n",
    "\n",
    "* 矩阵分解\n",
    "    - linalg.cholesky()\n",
    "    - linalg.svd()\n",
    "    - linalg.qr()\n",
    "* 特征值特征向量\n",
    "    - linalg.eig()\n",
    "* 范数、条件数、行列式\n",
    "    - linalg.norm()\n",
    "    - linalg.cond()\n",
    "    - linalg.det()\n",
    "* 求逆\n",
    "    - linalg.inv()\n",
    "\n",
    "具体函数列表可以查看 https://docs.scipy.org/doc/numpy/reference/routines.linalg.html 。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A=\n",
      " [[0.3 0.2 0.5]\n",
      " [0.  0.4 0.6]\n",
      " [0.8 0.1 0.1]]\n",
      "A的范数=\n",
      " 1.2489995996796797\n",
      "A的行列式=\n",
      " -0.07\n",
      "A的秩=\n",
      " 3\n",
      "A的特征值=\n",
      " [ 1.         -0.38284271  0.18284271]\n",
      "A的特征向量=\n",
      " [[ 0.57735027  0.37378594  0.1510278 ]\n",
      " [ 0.57735027  0.56422312 -0.92952224]\n",
      " [ 0.57735027 -0.73616326  0.33642088]]\n",
      "A的逆矩阵=\n",
      " [[ 0.28571429 -0.42857143  1.14285714]\n",
      " [-6.85714286  5.28571429  2.57142857]\n",
      " [ 4.57142857 -1.85714286 -1.71428571]]\n"
     ]
    }
   ],
   "source": [
    "A = np.array([[0.3, 0.2, 0.5], [0, 0.4, 0.6], [0.8, 0.1, 0.1]])\n",
    "print(\"A=\\n\", A)\n",
    "print(\"A的范数=\\n\", np.linalg.norm(A))\n",
    "print(\"A的行列式=\\n\", np.linalg.det(A))\n",
    "print(\"A的秩=\\n\", np.linalg.matrix_rank(A))\n",
    "eigv, eigvec = np.linalg.eig(A)\n",
    "print(\"A的特征值=\\n\", eigv)\n",
    "print(\"A的特征向量=\\n\", eigvec)\n",
    "print(\"A的逆矩阵=\\n\", np.linalg.inv(A))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 随机数生成\n",
    "\n",
    "科学计算中很多算法都依赖于随机数的生成，比如数值积分计算的Monte Carlo法、MCMC等方法。在Python中，自带了numpy.random包，可以用来生成随机数。\n",
    "\n",
    "为了使用numpy.random，必须先导入：\n",
    "```python\n",
    "import numpy.random as nprd\n",
    "```\n",
    "\n",
    "接下来，就可以直接使用了。比如，\n",
    "\n",
    "* nprd.random(n)产生一个n维向量，每个分量都服从均匀分布的随机数；\n",
    "* nprd.randn(n)产生一个n维向量，每个分量都服从正态分布的随机数；\n",
    "* nprd.choice(a)从向量a中随机抽取一个元素\n",
    "\n",
    "......\n",
    "\n",
    "具体随机数列表可以查看 https://docs.scipy.org/doc/numpy-1.16.1/reference/routines.random.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a=\n",
      " [[0.71595988 0.71656213 0.15099698 0.10650773 0.61692358]\n",
      " [0.20206461 0.87300883 0.78228386 0.60746903 0.35110641]\n",
      " [0.22555497 0.08371641 0.2776689  0.79825041 0.94912742]\n",
      " [0.45847984 0.40612232 0.3410356  0.45230707 0.02676374]]\n",
      "b=\n",
      " [[-0.43187495 -0.59193793  0.16255769 -1.15886023  0.89684779]\n",
      " [ 1.4628193  -0.72221118 -0.37874827  0.56227506 -0.82391561]\n",
      " [-0.49447154 -1.07888393 -1.38608303 -1.14813286  0.04201044]\n",
      " [ 0.30290583  0.61355944 -2.54945009 -1.38711183  0.12585309]]\n",
      "c=\n",
      " [26 17 11 38 44 91 92  8 20 28 72 80 98 63 37 97 21 36 75 52]\n",
      "从c中随机抽取一个元素： 37\n"
     ]
    }
   ],
   "source": [
    "import numpy.random as nprd\n",
    "\n",
    "a = nprd.random((4, 5))  ##产生一个4-by-5的随机数矩阵，每个随机数为（0,1）上的均匀分布\n",
    "print(\"a=\\n\", a)\n",
    "b = nprd.normal(0, 1, (4, 5))  ##产生一个4-by-5的随机数矩阵，每个随机数为标准正态分布\n",
    "print(\"b=\\n\", b)\n",
    "c = nprd.randint(0, 100, 20)  ##产生一个20维的随机数向量，每个随机数为[0,100)中随机挑一个整数\n",
    "print(\"c=\\n\", c)\n",
    "rand_choose_c = nprd.choice(c)\n",
    "print(\"从c中随机抽取一个元素：\", rand_choose_c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 切片与掩码\n",
    "\n",
    "如果需要提取出矩阵的元素，可以使用 **A\\[row,col\\]（而非A\\[row\\]\\[col\\]！！）**。比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a=\n",
      " [[0.40218459 0.02729063 0.6627659  0.05665491 0.00652035]\n",
      " [0.07099305 0.05244542 0.61276287 0.39644446 0.19998548]\n",
      " [0.23944089 0.30695458 0.63317169 0.6219775  0.74158655]\n",
      " [0.89931603 0.38921392 0.42535512 0.55534643 0.27490809]]\n",
      "a[2,3]= 0.6219775034599708\n"
     ]
    }
   ],
   "source": [
    "a = nprd.random((4, 5))\n",
    "print(\"a=\\n\", a)\n",
    "print(\"a[2,3]=\", a[2, 3])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "此外与Python的列表一样，可以进行切片操作，语法为：\n",
    "```python\n",
    "a[start:stop:step]\n",
    "```\n",
    "\n",
    "其中a为向量，start为起始位置，stop为最终位置（不含），step为步长，如果start缺失则为从最开始，stop缺失则为直到最后。比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a的前三位： [1 2 3]\n",
      "a的后三位： [3 4 5]\n",
      "a的奇数位： [1 3 5]\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1, 2, 3, 4, 5])\n",
    "print(\"a的前三位：\", a[:3])\n",
    "print(\"a的后三位：\", a[-3:])\n",
    "print(\"a的奇数位：\", a[::2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "当然，矩阵也可以类似操作："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A=\n",
      " [[0.72216225 0.33629565 0.99012934 0.78024379 0.16888923]\n",
      " [0.60828419 0.99866421 0.3948867  0.19764726 0.02418876]\n",
      " [0.34485084 0.5686489  0.12472777 0.92973779 0.58019618]\n",
      " [0.92197248 0.57364291 0.04495113 0.23103546 0.37862312]\n",
      " [0.76828512 0.15512791 0.85155643 0.00985103 0.90840129]]\n",
      "A的前三列=\n",
      " [[0.72216225 0.33629565 0.99012934]\n",
      " [0.60828419 0.99866421 0.3948867 ]\n",
      " [0.34485084 0.5686489  0.12472777]\n",
      " [0.92197248 0.57364291 0.04495113]\n",
      " [0.76828512 0.15512791 0.85155643]]\n",
      "A的后三行=\n",
      " [[0.34485084 0.5686489  0.12472777 0.92973779 0.58019618]\n",
      " [0.92197248 0.57364291 0.04495113 0.23103546 0.37862312]\n",
      " [0.76828512 0.15512791 0.85155643 0.00985103 0.90840129]]\n",
      "A的奇数行、偶数列=\n",
      " [[0.33629565 0.78024379]\n",
      " [0.5686489  0.92973779]\n",
      " [0.15512791 0.00985103]]\n"
     ]
    }
   ],
   "source": [
    "A = nprd.random((5, 5))\n",
    "print(\"A=\\n\", A)\n",
    "print(\"A的前三列=\\n\", A[:, :3])\n",
    "print(\"A的后三行=\\n\", A[-3:, :])\n",
    "print(\"A的奇数行、偶数列=\\n\", A[::2, 1::2])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "另外，这里与Python中的另外一个不同是，在Python的列表中，实行切片操作是直接对切片出的元素进行复制，而在NumPy中，切片操作只是一个 **视图**（ **view** ），并没有进行复制。理解这一点是非常关键的，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4]\n",
      "[1, 3]\n",
      "[1 1 3 4]\n",
      "[1 3]\n",
      "A=\n",
      " [[0.15496064 0.04321154 0.41658195]\n",
      " [0.19465882 0.19161815 0.72142118]]\n",
      "矩阵转置，tranpose(A)=\n",
      " [[0.15496064 0.19465882]\n",
      " [0.04321154 0.19161815]\n",
      " [0.41658195 0.72142118]]\n",
      "矩阵转置，A.T=\n",
      " [[0.15496064 0.19465882]\n",
      " [0.04321154 0.19161815]\n",
      " [0.41658195 0.72142118]]\n",
      "A=\n",
      " [[2.         0.04321154 0.41658195]\n",
      " [0.19465882 0.19161815 0.72142118]]\n",
      "A=\n",
      " [[3.         0.04321154 0.41658195]\n",
      " [0.19465882 0.19161815 0.72142118]]\n"
     ]
    }
   ],
   "source": [
    "lista = [1, 2, 3, 4]\n",
    "suba = lista[1:3]\n",
    "suba[0] = 1\n",
    "print(lista)\n",
    "print(suba)\n",
    "veca = np.array([1, 2, 3, 4])\n",
    "suba = veca[1:3]\n",
    "suba[0] = 1\n",
    "print(veca)\n",
    "print(suba)\n",
    "A = nprd.random((2, 3))\n",
    "print(\"A=\\n\", A)\n",
    "At = A.transpose()\n",
    "print(\"矩阵转置，tranpose(A)=\\n\", At)\n",
    "AT = A.T\n",
    "print(\"矩阵转置，A.T=\\n\", AT)\n",
    "At[0, 0] = 2\n",
    "print(\"A=\\n\", A)\n",
    "AT[0, 0] = 3\n",
    "print(\"A=\\n\", A)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "因而，在对数组、矩阵进行切片、修改时，需要特别注意。\n",
    "\n",
    "如果需要创建切片的副本，需要用copy()方法："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 3 4]\n",
      "[1 3]\n"
     ]
    }
   ],
   "source": [
    "veca = np.array([1, 2, 3, 4])\n",
    "suba = veca[1:3].copy()\n",
    "suba[0] = 1\n",
    "print(veca)\n",
    "print(suba)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "或者，也可以直接在切片时提供一个列表，制定需要选取的列元素，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A=\n",
      " [0.0338492  0.04725206 0.5911803  0.95270347 0.2563711 ]\n",
      "A selected=\n",
      " [0.04725206 0.0338492  0.95270347]\n",
      "B=\n",
      " [[ 0  1  2]\n",
      " [ 3  4  5]\n",
      " [ 6  7  8]\n",
      " [ 9 10 11]\n",
      " [12 13 14]]\n",
      "B selected rows=\n",
      " [[ 3  4  5]\n",
      " [ 0  1  2]\n",
      " [ 9 10 11]]\n",
      "B selected elements=\n",
      " [5 1 9]\n"
     ]
    }
   ],
   "source": [
    "A = nprd.random(5)\n",
    "print(\"A=\\n\", A)\n",
    "selec = [1, 0, 3]\n",
    "print(\"A selected=\\n\", A[selec])\n",
    "B = np.arange(15).reshape(5, 3)\n",
    "print(\"B=\\n\", B)\n",
    "print(\"B selected rows=\\n\", B[selec, :])\n",
    "selec_col = [2, 1, 0]\n",
    "print(\"B selected elements=\\n\", B[selec, selec_col])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "需要注意当我们给出了两个列表作为选择依据时，实际上选出的是B[1,2]、B[0,1]、B[3,0]，而非子矩阵。如果需要选出子矩阵，应该这样写："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "B selected colomns and rows=\n",
      " [[ 5  4  3]\n",
      " [ 2  1  0]\n",
      " [11 10  9]]\n"
     ]
    }
   ],
   "source": [
    "print(\"B selected colomns and rows=\\n\", B[selec, :][:, selec_col])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "有时我们可能希望在一个数组或者矩阵中挑出满足条件的元素，此时可以使用NumPy中特有的掩码功能。\n",
    "\n",
    "首先需要明确的是，如果对一个NumPy数组进行逻辑运算，会返回一个逻辑数组，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a>=2:\n",
      " [False  True  True]\n",
      "b<0.5:\n",
      " [[False False False  True False]\n",
      " [False False  True  True False]\n",
      " [ True False  True False  True]\n",
      " [False  True  True False False]\n",
      " [ True False  True False False]]\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1, 2, 3])\n",
    "print(\"a>=2:\\n\", a >= 2)\n",
    "b = nprd.random((5, 5))\n",
    "print(\"b<0.5:\\n\", b < 0.5)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在Python中，True如果参与数值计算会被当做1，False参与数值计算会被当做0："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 2])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(a >= 2) + 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "矩阵b中小于0.5的元素个数= 10\n"
     ]
    }
   ],
   "source": [
    "print(\"矩阵b中小于0.5的元素个数=\", (b < 0.5).sum())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们可以使用逻辑数组作为选择器将符合条件的元素挑选出来，并放在一个NumPy数组中，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "向量a中大于等于2的元素：\n",
      " [2 3]\n",
      "矩阵b中小于0.5的元素：\n",
      " [0.13099646 0.13425655 0.25790882 0.4842765  0.49464119 0.41886417\n",
      " 0.42580218 0.27211845 0.27163408 0.24214645]\n"
     ]
    }
   ],
   "source": [
    "print(\"向量a中大于等于2的元素：\\n\", a[a >= 2])\n",
    "print(\"矩阵b中小于0.5的元素：\\n\", b[b < 0.5])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意虽然b是一个二维矩阵，但是由于我们需要挑选元素，所以最终挑选出来的元素放在了一个向量里面。\n",
    "\n",
    "需要注意的是，在Python中，逻辑运算的运算符为 and or not，以上三个运算符是将操作对象**当做整体**进行比较。而在NumPy里面，为了进行逐位的比较，需要用到：\n",
    "\n",
    "* 逻辑与：&\n",
    "* 逻辑或：|\n",
    "* 逻辑非：~\n",
    "* 异或： ^\n",
    "\n",
    "比如，如果需要提取出在0.3-0.7之间的元素，应该用："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "矩阵b中0.3-0.7的元素：\n",
      " [0.54284045 0.6983727  0.4842765  0.63895724 0.49464119 0.41886417\n",
      " 0.42580218 0.65684745 0.5795163  0.69232782]\n"
     ]
    }
   ],
   "source": [
    "print(\"矩阵b中0.3-0.7的元素：\\n\", b[(b < 0.7) & (b > 0.3)])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "此外还可以配合any()和all()函数进行一些高阶的判断，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= [1 2 3]\n",
      "a中是否有大于3的数字？ False\n",
      "a中是否有大于等于3的数字？ True\n",
      "b= [[0.71688124 0.54284045 0.98505384 0.13099646 0.98346329]\n",
      " [0.6983727  0.79980925 0.13425655 0.25790882 0.90437393]\n",
      " [0.4842765  0.63895724 0.49464119 0.92663873 0.41886417]\n",
      " [0.95065657 0.42580218 0.27211845 0.65684745 0.88327901]\n",
      " [0.27163408 0.5795163  0.24214645 0.8039269  0.69232782]]\n",
      "b中是否所有数字都大于0.2？ False\n",
      "b中每一行是否所有数字都大于0.2\n",
      " [False False  True  True  True]\n",
      "b中每一列是否所有数字都大于0.2\n",
      " [ True  True False False  True]\n"
     ]
    }
   ],
   "source": [
    "print(\"a=\", a)\n",
    "print(\"a中是否有大于3的数字？\", (a > 3).any())\n",
    "print(\"a中是否有大于等于3的数字？\", (a >= 3).any())\n",
    "print(\"b=\", b)\n",
    "print(\"b中是否所有数字都大于0.2？\", (b > 0.2).all())\n",
    "print(\"b中每一行是否所有数字都大于0.2\\n\", (b > 0.2).all(axis=1))\n",
    "print(\"b中每一列是否所有数字都大于0.2\\n\", (b > 0.2).all(axis=0))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "最后，还有一个小的技巧，np.where()函数可以返回满足条件的元素的坐标，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b= [[0.71688124 0.54284045 0.98505384 0.13099646 0.98346329]\n",
      " [0.6983727  0.79980925 0.13425655 0.25790882 0.90437393]\n",
      " [0.4842765  0.63895724 0.49464119 0.92663873 0.41886417]\n",
      " [0.95065657 0.42580218 0.27211845 0.65684745 0.88327901]\n",
      " [0.27163408 0.5795163  0.24214645 0.8039269  0.69232782]]\n",
      "大于0.8坐标= (array([0, 0, 1, 2, 3, 3, 4]), array([2, 4, 4, 3, 0, 4, 3]))\n"
     ]
    }
   ],
   "source": [
    "print(\"b=\", b)\n",
    "axis_b = np.where(b > 0.8)\n",
    "print(\"大于0.8坐标=\", axis_b)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 向量、矩阵的变形、合并和分裂\n",
    "\n",
    "对于向量、矩阵的另外一个更常用的操作是变形，一般而言我们可以使用reshape方法变形，但是值得注意的是该方法变形仍然是一个视图而非副本。比如，我们可能将一个向量变形为一个矩阵，可以按照如下的方法："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vec_a:\n",
      " [0. 1. 2. 3. 4. 5. 6. 7. 8.]\n",
      "mat_a:\n",
      " [[0. 1. 2.]\n",
      " [3. 4. 5.]\n",
      " [6. 7. 8.]]\n",
      "vec_b:\n",
      " [[0.]\n",
      " [1.]\n",
      " [2.]\n",
      " [3.]\n",
      " [4.]\n",
      " [5.]\n",
      " [6.]\n",
      " [7.]\n",
      " [8.]]\n",
      "vec_a:\n",
      " [0. 1. 2. 3. 4. 0. 6. 7. 8.]\n"
     ]
    }
   ],
   "source": [
    "vec_a = np.linspace(0, 8, 9)\n",
    "print(\"vec_a:\\n\", vec_a)\n",
    "mat_a = vec_a.reshape(3, 3)\n",
    "print(\"mat_a:\\n\", mat_a)\n",
    "vec_b = vec_a.reshape(9, 1)\n",
    "print(\"vec_b:\\n\", vec_b)\n",
    "mat_a[1, 2] = 0  ##注意reshape也是视图\n",
    "print(\"vec_a:\\n\", vec_a)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "或者，如果需要将一个矩阵变为行向量或者列向量，还可以在切片中使用newaxis关键字，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.88323535]\n",
      " [0.42160518]\n",
      " [0.23486114]]\n",
      "[[0.64866675 0.29436663 0.41154894]]\n"
     ]
    }
   ],
   "source": [
    "a = nprd.random(3)[:, np.newaxis]  #改成列向量\n",
    "print(a)\n",
    "b = nprd.random(3)[np.newaxis, :]  #改成行矩阵\n",
    "print(b)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果需要拼接两个矩阵，此时需要使用np.concatenate、np.vstack、np.hstack三个方法。\n",
    "\n",
    "np.concatenate方法用于拼接向量，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 3 4 5 6 7 8 9]\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1, 2, 3])\n",
    "b = np.array([4, 5])\n",
    "c = np.array([6, 7, 8, 9])\n",
    "vec = np.concatenate([a, b, c])\n",
    "print(vec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "np.vstack用于竖直拼接矩阵，hstack用于水平拼接举着，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mat_a:\n",
      " [[0. 1. 2.]\n",
      " [3. 4. 5.]\n",
      " [6. 7. 8.]]\n",
      "mat_b:\n",
      " [[10. 11. 12.]\n",
      " [13. 14. 15.]\n",
      " [16. 17. 18.]]\n",
      "mat_hab:\n",
      " [[ 0.  1.  2. 10. 11. 12.]\n",
      " [ 3.  4.  5. 13. 14. 15.]\n",
      " [ 6.  7.  8. 16. 17. 18.]]\n",
      "mat_hab:\n",
      " [[ 0.  1.  2.]\n",
      " [ 3.  4.  5.]\n",
      " [ 6.  7.  8.]\n",
      " [10. 11. 12.]\n",
      " [13. 14. 15.]\n",
      " [16. 17. 18.]]\n",
      "mat_vec_aa=\n",
      " [[0. 1. 2. 1.]\n",
      " [3. 4. 5. 2.]\n",
      " [6. 7. 8. 3.]]\n"
     ]
    }
   ],
   "source": [
    "mat_a = np.linspace(0, 8, 9).reshape(3, 3)\n",
    "mat_b = np.linspace(10, 18, 9).reshape(3, 3)\n",
    "print(\"mat_a:\\n\", mat_a)\n",
    "print(\"mat_b:\\n\", mat_b)\n",
    "mat_hab = np.hstack([mat_a, mat_b])\n",
    "print(\"mat_hab:\\n\", mat_hab)\n",
    "mat_vab = np.vstack([mat_a, mat_b])\n",
    "print(\"mat_hab:\\n\", mat_vab)\n",
    "vec_a = np.array([1, 2, 3])[:, np.newaxis]\n",
    "mat_vec_aa = np.hstack([mat_a, vec_a])\n",
    "print(\"mat_vec_aa=\\n\", mat_vec_aa)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 广播\n",
    "\n",
    "一般情况下，如果两个向量、矩阵的维数不同，是不能进行加减乘除的运算的，但是在NumPy中，引入了**广播**功能，使得我们能够方便的进行一些运算，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0  1  2]\n",
      " [ 1  2  2]\n",
      " [ 4  2 -1]]\n"
     ]
    }
   ],
   "source": [
    "A = np.array([[1, 2, 4], [2, 3, 4], [5, 3, 1]])\n",
    "B = np.array([1, 1, 2])\n",
    "C = A - B\n",
    "print(C)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Python在执行以上的运算时，实际执行步骤是：\n",
    "\n",
    "1. 先计算A的维数为3-by-3，B的维数为3，两者维数不匹配，此时Python会将比较小的维数左边用1来扩充，即B的维数为1-by-3\n",
    "2. 现在两者还是不匹配，Python会将B的第一个维度扩充，扩充为3-by-3之后就可以运算了。\n",
    "\n",
    "为了更深入理解，我们看下面的例子："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-2 -3 -4]\n",
      " [-1 -2 -3]\n",
      " [ 0 -1 -2]]\n"
     ]
    }
   ],
   "source": [
    "a = np.array([[1], [2], [3]])\n",
    "b = np.array([3, 4, 5])\n",
    "c = a - b\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在以上例子中，Python实际执行的是：\n",
    "\n",
    "1. a的维数为3-by-1，b的维数为3，因而扩充b的维数为1-by-3\n",
    "2. 现在两个维数都不匹配，Python自动将a扩充为3-by-3的矩阵，并将b扩充为3-by-3的矩阵，再进行加减"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 向量函数\n",
    "\n",
    "在此之前，我们曾经介绍过使用Python中自带的math包中的exp、sin、cos等函数。现在想象以下，为了计算一个向量每个分量的指数函数，我们不得不写一个循环："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 2.71828183  7.3890561  20.08553692]\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "a = np.array([1, 2, 3])\n",
    "b = np.array([math.exp(i) for i in a])\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "然而，Python的循环非常的缓慢，如果数据量巨大，以上做法非常耗时。幸运的是，NumPy为我们提供了非常强大的函数功能，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= [ 1.   0.5 -3. ]\n",
      "cos(a)= [ 0.54030231  0.87758256 -0.9899925 ]\n",
      "exp(a)= [2.71828183 1.64872127 0.04978707]\n",
      "ln(a)= [ 0.         -0.69314718         nan]\n",
      "abs(a)= [1.  0.5 3. ]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_266964/3885028909.py:5: RuntimeWarning: invalid value encountered in log\n",
      "  print('ln(a)=', np.log(a))\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1, 0.5, -3])\n",
    "print('a=', a)\n",
    "print('cos(a)=', np.cos(a))\n",
    "print('exp(a)=', np.exp(a))\n",
    "print('ln(a)=', np.log(a))\n",
    "print('abs(a)=', np.abs(a))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意log(-3)在上面计算得到nan，该值实际上是np.nan，即「not a number」，不是个数字，需要额外注意。\n",
    "\n",
    "以上这些函数直接对array进行操作，将循环放在底层，从而解约了大量时间，比如以下代码比较了这些写法的区别："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "列表推断时间： 0.3063316345214844\n",
      "循环时间： 0.36027956008911133\n",
      "Map时间： 0.2736477851867676\n",
      "np.log时间： 0.002105712890625\n"
     ]
    }
   ],
   "source": [
    "a = np.linspace(1, 1000, 1000000)\n",
    "import time\n",
    "## 列表推断\n",
    "start = time.time()\n",
    "b = np.array([np.log(x) for x in a])\n",
    "end = time.time()\n",
    "print(\"列表推断时间：\", end - start)\n",
    "## 循环\n",
    "c = np.empty(a.size)\n",
    "start = time.time()\n",
    "for i, x in enumerate(a):\n",
    "    c[i] = np.log(x)\n",
    "end = time.time()\n",
    "print(\"循环时间：\", end - start)\n",
    "## Map\n",
    "start = time.time()\n",
    "d = map(np.log, a)\n",
    "d = np.array(list(d))\n",
    "end = time.time()\n",
    "print(\"Map时间：\", end - start)\n",
    "## 直接做\n",
    "start = time.time()\n",
    "e = np.log(a)\n",
    "end = time.time()\n",
    "print(\"np.log时间：\", end - start)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "会发现直接使用NumPy的函数快了至少150倍时间。所以在NumPy中同样，能不用循环（列表推断、Map等）就不要用。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "NumPy函数包括很多，比如：\n",
    "\n",
    "* 算术运算\n",
    "  - np.add(a,b)等价于a+b\n",
    "  - np.substract(a,b)等价于a+b\n",
    "  - np.multiply(a,b)等价于a*b(对应元素相乘)\n",
    "  - np.divide(a,b)等价于a/b(对应元素相除)\n",
    "  - np.mod(a,b)等价于a%b\n",
    "  - np.power(a,b)等价于a\\*\\*b(对应元素的乘方)\n",
    "* 累乘、累加：np.sum(), np.prod(), np.cumsum(), np.cumprod()\n",
    "* 绝对值：np.abs()\n",
    "* 取整与符号：np.floor(), np.ceil(), np.trunc(), np.rint(), np.sign()\n",
    "* 三角函数： np.sin(), np.cos(), ......\n",
    "* 对数、指数：np.exp(), np.log(), np.exp2(), np.log2(), np.log10(), np.exp1m(), np.log1p(), np.power(), np.square(), np.cbrt().....\n",
    "* 判断： np.isnan(), np.isinf(), np.isfinete(),......\n",
    "* 特殊函数：SciPy中包含很多，如Gamma函数、Beta函数等，一般在scipy.special中\n",
    "\n",
    "函数列表可以从 https://docs.scipy.org/doc/numpy-1.17.0/reference/ufuncs.html 中找到。\n",
    "\n",
    "此外以上函数还支持使用out选项制定输出，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= [ 1.    3.25  5.5   7.75 10.  ]\n",
      "b= [ -1.    -3.25  -5.5   -7.75 -10.  ]\n",
      "c= [ 1.         -1.          1.80277564 -1.48124803  2.34520788 -1.76517417\n",
      "  2.78388218 -1.9789458   3.16227766 -2.15443469]\n"
     ]
    }
   ],
   "source": [
    "a = np.linspace(1, 10, 5)\n",
    "b = np.linspace(-1, -10, 5)\n",
    "print(\"a=\", a)\n",
    "print(\"b=\", b)\n",
    "c = np.empty(10)\n",
    "np.sqrt(a, out=c[::2])\n",
    "np.cbrt(b, out=c[1::2])\n",
    "print(\"c=\", c)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以上代码中指定了一个空的数组c，分别计算a的平方根放在c的奇数位，以及b的立方根放在c的偶数位。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "最后，NumPy还提供了方便的数据加总函数，比如求和、平均数、最大值、最小值、中位数等。\n",
    "\n",
    "比如，以下代码中，我们随机产生了一组正态分布的数据，并计算了其和和、平均数、最大值、最小值、中位数、四分位数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= [  0.   5.  10.  15.  20.  25.  30.  35.  40.  45.  50.  55.  60.  65.\n",
      "  70.  75.  80.  85.  90.  95. 100.]\n",
      "和：1050.000000\n",
      "均值：50.000000\n",
      "最大值：100.000000\n",
      "最大值索引：20.000000\n",
      "最小值：0.000000\n",
      "最小值索引：0.000000\n",
      "中位数：50.000000\n",
      "上四分位数：75.000000\n",
      "上四分位数：25.000000\n",
      "标准差：30.276504\n",
      "方差：916.666667\n",
      "乘积：0.000000\n",
      "累加= [   0.    5.   15.   30.   50.   75.  105.  140.  180.  225.  275.  330.\n",
      "  390.  455.  525.  600.  680.  765.  855.  950. 1050.]\n",
      "累乘= [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n"
     ]
    }
   ],
   "source": [
    "a = np.linspace(0, 100, 21)\n",
    "print(\"a=\", a)\n",
    "print(\"%s：%f\" % (\"和\", np.sum(a)))\n",
    "print(\"%s：%f\" % (\"均值\", np.mean(a)))\n",
    "print(\"%s：%f\" % (\"最大值\", np.max(a)))\n",
    "print(\"%s：%f\" % (\"最大值索引\", np.argmax(a)))\n",
    "print(\"%s：%f\" % (\"最小值\", np.min(a)))\n",
    "print(\"%s：%f\" % (\"最小值索引\", np.argmin(a)))\n",
    "print(\"%s：%f\" % (\"中位数\", np.median(a)))\n",
    "print(\"%s：%f\" % (\"上四分位数\", np.percentile(a, 75)))\n",
    "print(\"%s：%f\" % (\"上四分位数\", np.percentile(a, 25)))\n",
    "print(\"%s：%f\" % (\"标准差\", np.std(a)))\n",
    "print(\"%s：%f\" % (\"方差\", np.var(a)))\n",
    "print(\"%s：%f\" % (\"乘积\", np.prod(a)))\n",
    "print(\"累加=\", np.cumsum(a))\n",
    "print(\"累乘=\", np.cumprod(a))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "不过，以上代码可能会有问题，如果向量中存在缺失值（比如NaN），以上函数也会计算出NaN。为了避免这一个问题，可以使用以上程序的安全版本："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= [  0.   5.  10.  15.  20.  25.  30.  35.  40.  45.  50.  55.  60.  65.\n",
      "  70.  75.  80.  85.  90.  95. 100.]\n",
      "和：1050.000000\n",
      "均值：50.000000\n",
      "最大值：100.000000\n",
      "最大值索引：20.000000\n",
      "最小值：0.000000\n",
      "最小值索引：0.000000\n",
      "中位数：50.000000\n",
      "上四分位数：75.000000\n",
      "上四分位数：25.000000\n",
      "标准差：30.276504\n",
      "方差：916.666667\n",
      "乘积：0.000000\n"
     ]
    }
   ],
   "source": [
    "a = np.linspace(0, 100, 21)\n",
    "print(\"a=\", a)\n",
    "print(\"%s：%f\" % (\"和\", np.nansum(a)))\n",
    "print(\"%s：%f\" % (\"均值\", np.nanmean(a)))\n",
    "print(\"%s：%f\" % (\"最大值\", np.nanmax(a)))\n",
    "print(\"%s：%f\" % (\"最大值索引\", np.nanargmax(a)))\n",
    "print(\"%s：%f\" % (\"最小值\", np.nanmin(a)))\n",
    "print(\"%s：%f\" % (\"最小值索引\", np.nanargmin(a)))\n",
    "print(\"%s：%f\" % (\"中位数\", np.nanmedian(a)))\n",
    "print(\"%s：%f\" % (\"上四分位数\", np.nanpercentile(a, 75)))\n",
    "print(\"%s：%f\" % (\"上四分位数\", np.nanpercentile(a, 25)))\n",
    "print(\"%s：%f\" % (\"标准差\", np.nanstd(a)))\n",
    "print(\"%s：%f\" % (\"方差\", np.nanvar(a)))\n",
    "print(\"%s：%f\" % (\"乘积\", np.nanprod(a)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "此外还有两个特殊的函数：numpy.any()函数用于判断一个逻辑向量（其值为True/False）是否有True；而numpy.all()用于判断逻辑向量是否全为真，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n",
      "True\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "vec_a = np.array([1, 2, 3])\n",
    "print((vec_a == 2).any())\n",
    "print((vec_a == 5).any())\n",
    "vec_b = np.array([1, 2, 3])\n",
    "print((vec_a == vec_b).all())\n",
    "vec_b = np.array([1, 2, 4])\n",
    "print((vec_a == vec_b).all())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "而对于矩阵，以上函数还支持在哪个维度上进行求和、中位数等操作，比如："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= [[ 0.  5. 10. 15. 20.]\n",
      " [25. 30. 35. 40. 45.]\n",
      " [50. 55. 60. 65. 70.]\n",
      " [75. 80. 85. 90. 95.]]\n",
      "总和： 950.0\n",
      "行和： [ 50. 175. 300. 425.]\n",
      "列和： [150. 170. 190. 210. 230.]\n",
      "总中位数： 47.5\n",
      "行中位数： [10. 35. 60. 85.]\n",
      "列中位数： [37.5 42.5 47.5 52.5 57.5]\n",
      "累积和=\n",
      " [  0.   5.  15.  30.  50.  75. 105. 140. 180. 225. 275. 330. 390. 455.\n",
      " 525. 600. 680. 765. 855. 950.]\n",
      "行累积和=\n",
      " [[  0.   5.  15.  30.  50.]\n",
      " [ 25.  55.  90. 130. 175.]\n",
      " [ 50. 105. 165. 230. 300.]\n",
      " [ 75. 155. 240. 330. 425.]]\n",
      "列累积和=\n",
      " [[  0.   5.  10.  15.  20.]\n",
      " [ 25.  35.  45.  55.  65.]\n",
      " [ 75.  90. 105. 120. 135.]\n",
      " [150. 170. 190. 210. 230.]]\n"
     ]
    }
   ],
   "source": [
    "a = np.linspace(0, 95, 20).reshape(4, 5)\n",
    "print(\"a=\", a)\n",
    "print(\"总和：\", np.sum(a))\n",
    "print(\"行和：\", np.sum(a, axis=1))\n",
    "print(\"列和：\", np.sum(a, axis=0))\n",
    "print(\"总中位数：\", np.median(a))\n",
    "print(\"行中位数：\", np.median(a, axis=1))\n",
    "print(\"列中位数：\", np.median(a, axis=0))\n",
    "print(\"累积和=\\n\", np.cumsum(a))\n",
    "print(\"行累积和=\\n\", np.cumsum(a, axis=1))\n",
    "print(\"列累积和=\\n\", np.cumsum(a, axis=0))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SciPy简介\n",
    "\n",
    "SciPy在NumPy的基础上，提供了更多的数值计算的高级工具，比如：\n",
    "\n",
    "* scipy.special：特殊函数，包括gamma函数、beta函数、各种统计函数、erf函数等等，都可以从这里找到\n",
    "* scipy.optimize：提供了最优化方法\n",
    "* scipy.sparse：稀疏矩阵\n",
    "* scipy.interpolate：插值\n",
    "* scipy.integrate：积分和常微分方程\n",
    "* scipy.fftpack：快速傅里叶变换\n",
    "* scipy.stats：常用的统计函数\n",
    "\n",
    "......\n",
    "\n",
    "在此我们不再赘述，如有需要，可以参考 https://docs.scipy.org/doc/scipy-1.2.1/reference/ 。我们也会在接下来通过实例的方式稍微介绍SciPy的用法。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib简介\n",
    "\n",
    "在Python中，可以方便的是用matplotlib画图。在使用前应该使用(sudo) pip install matplotlib进行安装。\n",
    "\n",
    "同样限于篇幅所限，我们也无法完整、详细的介绍Matplot画图的方法，我们将在实例中展示如何使用Matplot画图。\n",
    "\n",
    "在使用Matplotlib时，如果不知道某个图该怎么画，查看文档可能是最简单的方法，其官网： https://matplotlib.org 上提供了非常详细的示例、文档。此外， https://github.com/rougier/matplotlib-tutorial 也提供了一个非常好的教程，可以参阅。\n",
    "\n",
    "此外，基于Matplotlib基础上的Seaborn还提供了更加美化的设定以及一些方便的接口，可以同时结合Matplotlib以及Seaborn进行画图。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 综合实例\n",
    "\n",
    "接下来我们主要以例子的形式展示SciPy以及Matplotlib的用法\n",
    "\n",
    "## 实例1：数据的直方图以及散点图（Matplotlib）简单应用\n",
    "\n",
    "在接下来的例子中看我们随机生成了一组期望为0，方差为2的500个随机数，并画出了其直方图，此外我们还是用Seaborn做了一些默认的梅花："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 导入matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "import numpy.random as nprd\n",
    "sb.set()\n",
    "## 生成100个均值为0，方差为2的正态分布\n",
    "z=nprd.normal(0,np.sqrt(2),1000)\n",
    "# 设定图像大小\n",
    "plt.rcParams['figure.figsize'] = (15.0, 8.0)\n",
    "\n",
    "plt.hist(z,bins=40) ##柱状图，20个柱子\n",
    "plt.xlabel('z')\n",
    "plt.ylabel(\"Density\")\n",
    "plt.title('Normal Distribution')\n",
    "plt.show() ## 画图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "而以下代码，产生了500个 $x \\sim N\\left(0,2\\right)$，以及$y=x+u$，$u\\sim N\\left(0,1\\right)$，并将其散点图、和关系图花在了同一张图上："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = nprd.normal(0, np.sqrt(2), 500)  ## 生成100个均值为0，方差为2的正态分布\n",
    "y = x + nprd.normal(0, 1, 500)  ## y与x为线性关系\n",
    "plt.scatter(x, y, color='pink')  ##散点图\n",
    "plt.plot(x, x, color='blue')  ## 回归曲线\n",
    "plt.xlabel('x')\n",
    "plt.ylabel(\"y\")\n",
    "plt.title('Relationship of x and y')\n",
    "plt.show()  ## 画图\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 实例2：经验分布函数：一个简单的随机数生成与画图\n",
    "\n",
    "在下面的例子中，我们使用分布函数逆函数的方法，产生了一系列的服从指数分布的随机数，进而计算其经验分布函数：$$\\hat{F}\\left(x\\right)=\\frac{1}{N}\\sum_{i=1}^{N}{1\\left\\{x_i\\leq x\\right\\}}$$\n",
    "\n",
    "由于指数分布的分布函数为：$$F\\left(x\\right)=1-exp\\left\\{ -\\frac{1}{b}x \\right\\}$$\n",
    "\n",
    "从而根据你分布函数法，给定一个b，通过均匀分布u产生指数分布的随机数的公式为：$$x=-b\\cdot \\log\\left(u\\right)$$\n",
    "\n",
    "接下来，我们使用matplotlib将理论的分布函数和计算的经验分布函数画在了图上。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import numpy.random as nprd\n",
    "\n",
    "## 设定参数\n",
    "\n",
    "b = 3  #指数分布参数\n",
    "N = 200  #样本容量\n",
    "\n",
    "## 生成N个x~F(x)=1-exp{-(1/b)*x}\n",
    "X = -b * np.log(nprd.random(N))\n",
    "\n",
    "## 给定一些点，在这些点上计算分布函数和经验分布函数\n",
    "x = np.linspace(0.1, 9.9, 50)  #0.1,0.3,...,9.9\n",
    "\n",
    "## 计算理论的分布函数\n",
    "F = 1 - np.exp((-1 / b) * x)\n",
    "\n",
    "## 计算经验分布函数\n",
    "\n",
    "empirical_F = lambda s: np.sum(X <= s) / N  # lambda表达式，定义了s点处的经验分布函数\n",
    "F_hat = np.array(list(map(empirical_F, x)))  # 计算x的所有点的经验分布函数\n",
    "\n",
    "## 计算经验分布函数与真实的分布函数之间的绝对差异\n",
    "bias = np.abs(F - F_hat)\n",
    "## 打印两个分布函数及其绝对差异，以及平均的绝对差异\n",
    "# print(\" x  | 分布函数| 经验分布函数| 差的绝对值\")\n",
    "# for i in range(50):\n",
    "#     print(\"%.1f |%.5f | %.5f  | %.5f\" % (x[i],F[i],F_hat[i],bias[i]))\n",
    "# print(\"Mean absolute bias:\",np.sum(bias)/50)\n",
    "\n",
    "## 导入matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "# 设定图像大小\n",
    "plt.rcParams['figure.figsize'] = (15.0, 8.0)\n",
    "\n",
    "plt.plot(x, F, label=r'$F(x)$', color='blue')  ## 画出理论的分布函数\n",
    "plt.plot(x, F_hat, label=r'$\\hat{F}(x)$', color='green')  ## 画出经验分布函数\n",
    "plt.legend(loc='upper left', frameon=True)\n",
    "plt.show()  ## 画图\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 实例3：停止的鞅\n",
    "\n",
    "现在考虑这么一个问题：如果我有100块钱，现在可以进行赌博，每次以0.5的概率赚一块钱，以0.5的概率赔一块钱，转到130我就收手，那么我的财富应该会如何变化？以下的程序模拟了这个问题："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import numpy.random as nprd\n",
    "\n",
    "T = 5000\n",
    "x0 = 100\n",
    "\n",
    "\n",
    "def gen_martingale():\n",
    "    \"\"\"生成鞅，直观的写法\"\"\"\n",
    "    X = []\n",
    "    x = x0\n",
    "    for t in range(T):\n",
    "        if x >= 130:\n",
    "            x = x\n",
    "        else:\n",
    "            x = x + (1 if nprd.uniform() > 0.5 else -1)\n",
    "        X.append(x)\n",
    "    return X\n",
    "\n",
    "\n",
    "def gen_martingale2():\n",
    "    \"\"\"生成鞅，更好的写法，避免循环\"\"\"\n",
    "    x = (nprd.uniform(0, 1, T) > 0.5) - 0.5\n",
    "    x = x.cumsum() + x0\n",
    "    hit = np.where(x >= 130)[0]\n",
    "    if hit.size > 0:\n",
    "        x[hit[0]:] = 130\n",
    "    return x\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "# 设定图像大小\n",
    "plt.rcParams['figure.figsize'] = (15.0, 8.0)\n",
    "N = 30\n",
    "t = [t for t in range(T)]\n",
    "corlors = np.linspace(0, 1, N)\n",
    "for i in range(N):\n",
    "    x = gen_martingale2()\n",
    "    plt.plot(t, x)\n",
    "plt.show()  ## 画图\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 实例4：大数定律和中心极限定理\n",
    "\n",
    "我们知道，根据大数定律，样本均值收敛到总体均值，即$\\bar{x}\\rightarrow_p\\mu$，以下代码通过产生10000个服从0-1分布的随机数（真实概率为0.5，比如抛硬币），计算了前n次的均值，并将其花在图上："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from numpy import random as nprd\n",
    "\n",
    "True_P = 0.5\n",
    "\n",
    "\n",
    "def sampling(N):\n",
    "    ## 产生Bernouli样本\n",
    "    x = nprd.rand(N) < True_P\n",
    "    return x\n",
    "\n",
    "\n",
    "M = 10000  #模拟次数\n",
    "xbar = np.zeros(M)\n",
    "N = np.array([i + 1 for i in range(M)])\n",
    "x = sampling(M)\n",
    "for i in range(M):\n",
    "    if i == 0:\n",
    "        xbar[i] = x[i]\n",
    "    else:\n",
    "        xbar[i] = (x[i] + xbar[i - 1] * i) / (i + 1)\n",
    "\n",
    "## 导入matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "# 设定图像大小\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0)\n",
    "\n",
    "plt.plot(N, xbar, label=r'$\\bar{x}$', color='pink')  ## xbar\n",
    "xtrue = np.ones(M) * True_P\n",
    "plt.plot(N, xtrue, label=r'$0.5$', color='black')  ## true xbar\n",
    "plt.xlabel('N')\n",
    "plt.ylabel(r'$\\bar{x}$')\n",
    "plt.legend(loc='upper right', frameon=True)\n",
    "plt.show()  ## 画图\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "而根据中心极限定理，当样本量足够大时，样本均值服从正态分布：$$\\bar{x}\\sim N\\left(\\mu,\\sigma^2/N\\right)$$，以下代码，根据不同的样本量（N），分别产生一些混合正态分布（双峰的），并计算其均值，计算2000次样本均值，并观察给定样本量的条件下2000次样本均值的分布情况。最终将样本均值的分布情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9d958881ssskm2XfffTNmzJiWe5/23nvvnHnmmbnvvvty9913p6mpKbfeemv23nvvfP3rX89WW22Ve+65J3feeWd69uyZj3/84/nSl77U6tKw888/P9XV1Zk+fXruvffeltnjrrzyytW+RO+ss87K22+/nXvuuSc333xz/u7v/i5f//rX88gjj7RMClGkI488MtXV1bnxxhtz/vnnp6qqKkOGDMmtt9663A84XpcWLVqU8847L/3798/Xvva1luUjR47MCSeckEmTJmX33XfPrrvumjPPPDMDBw7Mrbfemv/v//v/snjx4myyySbZZZdd8ulPf7pl32OPPTbJ+x858PnPfz5bbrllzjzzzPzHf/zHWj3fZ599du69995lJtnYdtttM3369HznO9/JZZddlnfeeScDBw7MhAkTlntPWBEq/RoDWJlSc5EfRQ/Aeuull17KYYcdls9//vM566yzKt0OAHRozngBsEovvPBCfvzjH2e33XZLz549M3v27Nx8883p2bPnCmfYAwD+j+AFwCpVV1fnv//7v3PPPfekoaEhPXv2zN57753zzjtvre4ZAoAPC5caAgAAFMx08gAAAAUTvAAAAAomeAEAABRM8AIAACiYWQ3bqLm5OU1N5iVZmXK55Dnq5Ixh52b8Oj9j2LkZv87PGHZu62r8yuVSSqXSKrcTvNqoqak5r7/+VqXb6LC6dClno40+kvr6RXnvvaZKt0MbGMPOzfh1fsawczN+nZ8x7NzW5fj16fORVFWtOni51BAAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCdal0AwAdRblcSrlcKqx+U1NzmpqaC6sPAHRcghdA3g9dvXv3SFVVcRcCNDY2ZcGCRcIXAHwICV4AeT94VVWVM+mOmZkzr6Hd6/fftFdqT9gj5XJJ8AKADyHBC+AD5sxrSN3chZVuAwBYz5hcAwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIJ1qXQDAGuiXC6lXC61e92qKn+HAgCKI3gBnUa5XErv3j2EJACg0xG8gE6jXC6lqqqcSXfMzJx5De1ae/cd+uXkw3dq15oAAEsJXkCnM2deQ+rmLmzXmv379WzXegAAH+R6HQAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQsA4RvGbPnp3TTz89Q4cOzfDhwzN+/Pi88847K93nzTffzNVXX51jjz02e+65Z/bZZ5+cfvrp+d3vfrfMtkuWLMkVV1yRESNGZMiQITnppJPywgsvFHU4AAAArVQ8eNXX1+eUU07JW2+9lauuuipf/vKXc//99+fSSy9d6X4vv/xy7rrrruy777658sorM2HChDQ1NWX06NHLhK8JEybkjjvuyLnnnptrr702Xbp0yamnnppXX321yEMDAABIknSpdAPTp09PfX19ZsyYkT59+iRJqqqqUltbm7PPPjsDBw5c7n79+/fPww8/nOrq6pZl++67bw4++ODcfvvtmTBhQpJk3rx5mT59ei655JIcd9xxSZIhQ4bk4IMPzrRp01JbW1vwEQIAAB92FT/j9fOf/zzDhw9vCV1JMnLkyHTr1i2PPfbYCvfr0aNHq9CVJBtssEEGDhyYV155pWXZ448/nsbGxhxxxBEty3r27JmDDjpopfUBAADaS8WDV11d3TJntbp165att946dXV1a1Rr0aJFef7557Ptttu2qt+3b9/07t271bYDBw7M7Nmz09TU1ObeAQAAVkfFLzWsr69PTU3NMstramqycOHCNao1efLkvP322znxxBNb1e/Vq9cy22644YZZsmRJFi1alJ49e65540m6dKl4bu2wqqrKrf5L59MRx7Aj9dJW6+oYOuL4sWaMYedm/Do/Y9i5dcTxq3jwWpHm5uaUSqXV3v7+++/PtGnT8tWvfjXbbLNNq3XLq9Pc3LxW/ZXLpWy00UfWqsaHQU1N9ao3okMzhu1rXT+fxq/zM4adm/Hr/Ixh59aRxq/iwaumpib19fXLLG9oaFjhxBp/64knnshFF12U008/PSeccMJq1a+vr0/Xrl3To0ePNvXd1NSc+vpFbdr3w6CqqpyamurU17+dxkaXc3ZGHXEMl/bUma2r57Mjjh9rxhh2bsav8zOGndu6HL+amurVOrNW8eA1cODAZe7lWrx4cV588cUcc8wxq9z/2Wefzec///kceuihueCCC5Zbf/78+VmwYEGr+7zq6uoyYMCAlMttP/343nt+CFelsbHJ89TJGcP2ta6fT+PX+RnDzs34dX7GsHPrSONX8Yse99tvvzz55JN54403WpY9/PDDWbx4cfbff/+V7ltXV5czzjgju+++eyZMmLDcSwpHjBiRcrmcBx98sGXZW2+9lUcffXSV9QEAANpDxc94jR49OrfffnvGjBmTMWPGZP78+Zk4cWKOPPLIVpcaXnzxxZkxY0aee+65JMn8+fNz+umnp2vXrvnsZz/b6kOTu3Xrlp122ilJsummm2b06NGZNGlSunTpki222CK33HJLkuSUU05Zh0cKAAB8WFU8eNXU1GTatGkZP358xo4dm+7du2fUqFHLfLBxU1NTGhsbW77/05/+lL/85S9JklNPPbXVtltuuWUeffTRlu/HjRuXHj16ZPLkyWloaMiQIUMybdq0bLLJJsUdGAAAwP+qePBKkgEDBmTq1Kkr3WbixImZOHFiy/d77713fv/7369W/W7duqW2tnaZMAcAALAuVPweLwAAgPWd4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgXSrdAAAA7aNcLqVcLhVSu6mpOU1NzYXUhg8DwQsAYD1QLpfSu3ePVFUVc0FTY2NTFixYJHxBGwleAADrgXK5lKqqcibdMTNz5jW0a+3+m/ZK7Ql7pFwuCV7QRoIXAMB6ZM68htTNXVjpNoC/YXINAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBulS6AYAPk6qqYv7e1dTUnKam5kJqAwBrT/ACWAd699ogTU3NqampLqR+Y2NTFixYJHwBQAcleAGsAz2ru6ZcLmXSHTMzZ15Du9buv2mv1J6wR8rlkuAFAB2U4AWwDs2Z15C6uQsr3QYAsI6ZXAMAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAF61LpBoD1S7lcSrlcKqR2VZW/FQEAnZPgBbSbcrmU3r17CEgAAH9D8ALaTblcSlVVOZPumJk58xravf7uO/TLyYfv1O51AQCKJngB7W7OvIbUzV3Y7nX79+vZ7jUBANYF1wMBAAAUTPACAAAomOAFAABQMPd4AQCwWoqctbapqTlNTc2F1YdKE7wAAFip3r02SFNTc2pqqgt7jMbGpixYsEj4Yr0leAEAsFI9q7umXC4V9nEh/TftldoT9ki5XBK8WG8JXgAArJaiPi4EPgxMrgEAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAK1iGmk589e3bGjx+fmTNnprq6OkcccURqa2vTvXv3le73wAMP5MEHH8wzzzyTV155JRdeeGFOP/30ZbYbNGjQMsv69u2bJ554ot2OAQAAYEUqHrzq6+tzyimnZIsttshVV12V119/PRMmTMiCBQsyadKkle770EMP5aWXXsqBBx6Yu+66a6XbnnTSSRk1alTL9127dm2X/gEAAFal4sFr+vTpqa+vz4wZM9KnT58kSVVVVWpra3P22Wdn4MCBK9x38uTJKZffv1pyVcFr8803z9ChQ9utbwAAgNVV8Xu8fv7zn2f48OEtoStJRo4cmW7duuWxxx5b6b5LQxcAAEBHVvHkUldXt8xZrW7dumXrrbdOXV1duz3OjTfemJ133jl77rlnzjvvvLz88svtVhsAAGBlKn6pYX19fWpqapZZXlNTk4ULF7bLY3zqU5/KAQcckL59++YPf/hDrrvuunzmM5/Jv/7rv2bDDTdsc90uXSqeWzusqqpyq//S+bRlDI13ZX3w+fcz2PkZw86tEuO3PrxWOtIx+Bns3Dri+FU8eK1Ic3NzSqVSu9T61re+1fLvYcOGZY899sjRRx+dH/zgBznjjDPaVLNcLmWjjT7SLv2tz2pqqivdAmvJGHYeyxsr49f5GcPOzfitmY74fHXEnlh9HWn8Kh68ampqUl9fv8zyhoaGlU6ssTZ22GGHDBgwIL/73e/aXKOpqTn19Yvasav1S1VVOTU11amvfzuNjU2Vboc2aMsYLt2HyvjgWPkZ7PyMYedWifFbH96DO9Lr3c9g57Yux6+mpnq1zqxVPHgNHDhwmXu5Fi9enBdffDHHHHNMYY/b3Ny81jXee88P4ao0NjZ5njo5Y9h5LG+sjF/nZww7N+O3Zjri89URe2L1daTxq/hFj/vtt1+efPLJvPHGGy3LHn744SxevDj7779/IY/5/PPP589//nMGDx5cSH0AAIAPqvgZr9GjR+f222/PmDFjMmbMmMyfPz8TJ07MkUce2epSw4svvjgzZszIc88917LsT3/6U/70pz+1fP+HP/whDz30UKqrq1tC29SpU/PSSy9lr732Sp8+ffLHP/4x119/fTbbbLMce+yx6+5AAQCAD62KB6+amppMmzYt48ePz9ixY9O9e/eMGjUqtbW1rbZrampKY2Njq2UPPvhgpkyZ0vL9jBkzMmPGjGy55ZZ59NFHkyQDBgzIT37ykzzwwAN56623stFGG2X//ffPeeedt9zZFAEAANpbxYNX8n44mjp16kq3mThxYiZOnNhq2dixYzN27NiV7nfQQQfloIMOWuseAQAA2qri93gBAACs7wQvAACAgnWISw0BAGB1PgupLZqamtPUtPYfJQRrQ/ACAKCievfaIE1NzYV9AHRjY1MWLFgkfFFRghcAABXVs7pryuVSJt0xM3PmNbRr7f6b9krtCXukXC4JXlSU4AUAQIcwZ15D6uYurHQbUAiTawAAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFKxLpRsAAPiwKJdLKZdLhdSuqvL3dOjIBC8AgHWgXC6ld+8eAhJ8SAleAADrQLlcSlVVOZPumJk58xravf7uO/TLyYfv1O51gfYheAEArENz5jWkbu7Cdq/bv1/Pdq8JtB/nugEAAAomeAEAABRM8AIAACiY4AUAAFCwNgevxYsXt2cfAAAA6602B6/99tsvV1xxRV5++eX27AcAAGC90+bgdeCBB+a2227LIYccknPOOSe/+tWv2rMvAACA9Uabg9eECRPy2GOP5bzzzssLL7yQf/zHf8xhhx2W22+/PW+++WZ79ggAANCprdXkGhtuuGHOOOOMPPLII5kyZUo233zzXH755dlvv/1y2WWXpa6urr36BAAA6LTaZVbDUqmUgw8+OLW1tRk2bFgWLVqUO++8M6NGjcrYsWMzf/789ngYAFaiqqqcLl3e/6qqKi+zbG2+yuVShY8OADq3Lmtb4L333stDDz2UO+64I88880w233zz1NbW5vDDD89Pf/rTXHvttbnwwgszderU9ugXgL/Ru9cGaWpqTk1N9TLrlresLRobm7JgwaI0NTW3Sz0A+LBpc/CaN29epk+fnrvvvjuvvfZa9txzz0yePDmHHHJIyuX3/9J60kknZdNNN80FF1zQbg0D0FrP6q4pl0uZdMfMzJnX0O71+2/aK7Un7JFyuSR4AUAbtTl4HXTQQamqqsoRRxyRk08+OTvuuONyt9tqq62y8cYbt7lBAFbPnHkNqZu7sNJtAADL0ebgdc4552T06NHp06fPSrfbcccd8+ijj7b1YQAAADq9Nk+uscUWW6RUWv7N1gsWLMiMGTPaWhoAAGC90ubgddFFF+Wll15a7ro5c+bkoosuanNTQLHK5dIqZ7Fry6x4S/cBAKC1Nl9q2Ny84hus33333VRVVbW1NFCgcrmU3r17rHZIaq9Z8QAAPszWKHi9/PLLmTt3bsv3zz33XN59991W27zzzjv5wQ9+kM0337x9OgTaVblcSlVVuZAZ8HbfoV9OPnyndq0JALA+WKPgde+992bKlCkplUoplUr5xje+scw2S8+EXXLJJe3TIVCIImbA69+vZ7vWAwBYX6xR8DrssMOy3Xbbpbm5Oeedd16++MUvZptttmm1Tbdu3bLddtulf//+7dooAABAZ7VGwWvgwIEZOHBgkmTChAk54IADstFGGxXSGAAAwPqizZNrHHXUUe3ZBwAAwHprjYLXlClTcuyxx2bTTTfNlClTVrptqVTKOeecs1bNAQAArA/WOHjtt99+ghcAAMAaWKPg9cILLyz33wAAAKzY6n2CKgAAAG3W5sk13n333SxZsiQ9e/7f5/Y88MADee6557Lvvvtm3333bZcGAQAAOrs2n/G64IILMn78+Jbvb7311nzxi1/MzTffnNNPPz2PPfZYuzQIAADQ2bU5eP32t7/Nxz/+8Zbvb7vttvz93/99nn766RxyyCGZOnVquzQIAADQ2bU5eL3++uvZdNNNkyQvvfRSXnrppZx44onp2bNn/uEf/iF//OMf261JAACAzqzNwat79+5paGhIksycOTM9evTI4MGDkyQbbLBBFi1a1D4dAgAAdHJtnlxj++23zx133JEtttgid955Z/bee++USqUkyV/+8pf07du33ZoEAADozNp8xmvMmDH5j//4j3zqU5/KCy+8kM9+9rMt6372s59l5513bpcGAQAAOrs2n/EaPnx4Hnjggfzud7/LjjvumK222qpl3T777JMdd9yxXRoEAADo7NocvJJkyy23zJZbbrnM8tGjR69NWQAAgPXKWgWvJJk/f37mzp2bd999d5l1w4YNW9vyAAAAnV6bg9crr7ySCy+8ML/+9a+XWdfc3JxSqZTnn39+rZoDAABYH7Q5eP3TP/1Tnn/++dTW1mbQoEHp1q1be/YFAACw3mhz8Hrqqady4YUX5phjjmnPfgAAANY7bZ5OvlQqZfPNN2/PXgAAANZLbQ5ehx56aP793/+9PXsBAABYL7X5UsPDDjssX/nKV9Lc3JwDDzwwvXv3XmYbH6IMAACwFsHrlFNOSZLcfvvtueOOO1qtM6shAADA/2lz8JowYUJ79gEAALDeanPwOuqoo9qzDwAAgPVWmyfX+KBZs2Zl5syZWbRoUXuUAwAAWK+sVfCaMWNG9ttvvxxxxBE58cQTM3v27CTJF77whfzgBz9olwYBAAA6uzYHrwcffDDjxo3LTjvt1DK74VI777xzHnzwwXZpEAAA1lZVVTlduqz+V1VVebX3K5dLFT46OoM23+N144035uijj843v/nNNDY25rLLLmtZt+222+a2225rlwYBAKCtevfaIE1NzampqW7T/quzX2NjUxYsWJSmpuZVbsuHV5uDV11dXWpra5e7rnfv3lmwYEFbSwMAQLvoWd015XIpk+6YmTnzGtq9fv9Ne6X2hD1SLpcEL1aqzcGruro6DQ3Lf/HOmzcvG264YZubAgCA9jRnXkPq5i6sdBt8iLX5Hq/ddtstd9xxR6t7u5a69957s9dee61VYwAAAOuLNgevc845J88880z+4R/+IbfddltKpVJ+8pOf5KyzzsrTTz+ds846qz37BAAA6LTaHLwGDx6cm266KYsWLcrEiRPT3NycG264IbNnz86NN96Y7bffvj37BAAA6LTafI9Xkuyzzz558MEH8+KLL+a1117LRhttlAEDBrRXbwAAAOuFNgWv119/PdOnT8/TTz+dV155JUnSr1+/7L333jnuuOOy0UYbtWuTAAAAndkaB69f/epXGTt2bN58881UVVVlo402SnNzc2bPnp1f/vKXueWWWzJlypQMGzasiH4BAAA6nTW6x+v111/Peeedl169emXy5Ml5+umn8/jjj+eJJ57I008/ne985zuprq7OueeemzfeeKOongEAADqVNQpe99xzT5qamvIv//IvOfTQQ1Nd/X+f5F1dXZ3DDz88d955Z957773cc8897d4sAABAZ7RGwevxxx/PMccck80222yF22yxxRY5+uij84tf/GKtmwMAAFgfrFHwmjVrVvbYY49Vbrfnnntm1qxZbW4KAKBSyuVSunQpr9VXVdX7v2JVVS27DPhwWqPJNerr69OnT59VbtenT5/U19e3uSkAgEool0vp3btHu4WkmprqVW8EfCisUfBavHhxunbtuuqiXbpkyZIlbW4KAKASyuVSqqrKmXTHzMyZ19CutXffoV9OPnyndq0JdB5rPJ38rFmzUlVVtcptAAA6qznzGlI3d2G71uzfr2e71gM6lzUOXhdddNEqt2lubk6pVGpTQwAAAOubNQpeEyZMKKoPAACA9dYaBa+jjjqqqD4AAADWW+Y1BQAAKJjgBQAAULAOEbxmz56d008/PUOHDs3w4cMzfvz4vPPOO6vc74EHHsjYsWPz8Y9/PIMGDcrUqVOXu92SJUtyxRVXZMSIERkyZEhOOumkvPDCC+19GAAAAMtV8eBVX1+fU045JW+99VauuuqqfPnLX87999+fSy+9dJX7PvTQQ3nppZdy4IEHrnS7CRMm5I477si5556ba6+9Nl26dMmpp56aV199tb0OAwAAYIXWeDr59jZ9+vTU19dnxowZ6dOnT5KkqqoqtbW1OfvsszNw4MAV7jt58uSUy+9nx7vuumu528ybNy/Tp0/PJZdckuOOOy5JMmTIkBx88MGZNm1aamtr2/mIAAAAWqv4Ga+f//znGT58eEvoSpKRI0emW7dueeyxx1a679LQtTKPP/54Ghsbc8QRR7Qs69mzZw466KBV1gcAAGgPFQ9edXV1y5zV6tatW7beeuvU1dW1S/2+ffumd+/erZYPHDgws2fPTlNT01o/BgAAwMpU/FLD+vr61NTULLO8pqYmCxcubJf6vXr1Wmb5hhtumCVLlmTRokXp2bNnm2p36VLx3NphVVWVW/2XjsOY0FZeO+uW99HK8HzTVl47HUtHfA+tePBakebm5pRKpXaptbw6zc3Na1WzXC5lo40+slY1Pgxqaqor3QLQTvw8V4bnHToHP6sdU0cal4oHr5qamtTX1y+zvKGhYaUTa6xt/fr6+nTt2jU9evRoU92mpubU1y9a2/bWW1VV5dTUVKe+/u00NrqcsyNZOjawpvw8r1veRyvDeyRt5We1Y1mX76E1NdWrdWat4sFr4MCBy9zLtXjx4rz44os55phj2qX+/Pnzs2DBglb3edXV1WXAgAGrNUHHirz3nh+uVWlsbPI8wXrCz3NleN6hc/Cz2jF1pHGp+EWP++23X5588sm88cYbLcsefvjhLF68OPvvv/9a1x8xYkTK5XIefPDBlmVvvfVWHn300XapDwAAsCoVP+M1evTo3H777RkzZkzGjBmT+fPnZ+LEiTnyyCNbXWp48cUXZ8aMGXnuuedalv3pT3/Kn/70p5bv//CHP+Shhx5KdXV1S6jadNNNM3r06EyaNCldunTJFltskVtuuSVJcsopp6yjowQAAD7MKh68ampqMm3atIwfPz5jx45N9+7dM2rUqGU+2LipqSmNjY2tlj344IOZMmVKy/czZszIjBkzsuWWW+bRRx9tWT5u3Lj06NEjkydPTkNDQ4YMGZJp06Zlk002KfbgAAAA0gGCV5IMGDAgU6dOXek2EydOzMSJE1stGzt2bMaOHbvK+t26dUttbe0yYQ4AAGBdqPg9XgAAAOs7wQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAULAulW4AWL5yuZRyudTudauq/L0FAGBdE7ygAyqXS+ndu4eQBACwnhC8oAMql0upqipn0h0zM2deQ7vW3n2Hfjn58J3atSYAACsneEEHNmdeQ+rmLmzXmv379WzXegAArJrrmAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABetS6QYAANZEuVxKuVwqpHZVlb9JA8UQvACATqNcLqV37x4CEtDpCF4AQKdRLpdSVVXOpDtmZs68hnavv/sO/XLy4Tu1e10AwQsA6HTmzGtI3dyF7V63f7+e7V4TIDG5BgAAQOEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgPkAZAADWUlVVMeczmpqa09TUXEht1i3BCwAA2qh3rw3S1NScmprqQuo3NjZlwYJFwtd6QPACAIA26lndNeVyKZPumJk58xratXb/TXul9oQ9Ui6XBK/1gOAFAABrac68htTNXVjpNujATK4BAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABSsS6UbAKBzqKoq5m91TU3NaWpqLqQ2AHQUghcAK9W71wZpampOTU11IfUbG5uyYMEi4QuA9ZrgBcBK9azumnK5lEl3zMyceQ3tWrv/pr1Se8IeKZdLghcA6zXBC4DVMmdeQ+rmLqx0GwDQKZlcAwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAULAulW4gSWbPnp3x48dn5syZqa6uzhFHHJHa2tp07959lfved999ueGGGzJ37txss802Oeecc3LYYYe12mbQoEHL7Ne3b9888cQT7XYMAAAAK1Lx4FVfX59TTjklW2yxRa666qq8/vrrmTBhQhYsWJBJkyatdN+HHnoo48aNy+c+97l87GMfyyOPPJLzzz8/vXr1yogRI1pte9JJJ2XUqFEt33ft2rWQ4wEAAPhbFQ9e06dPT319fWbMmJE+ffokSaqqqlJbW5uzzz47AwcOXOG+3/3ud3PooYfmS1/6UpJkn332yezZs3PVVVctE7w233zzDB06tLDjAAAAWJGK3+P185//PMOHD28JXUkycuTIdOvWLY899tgK93vppZcya9asVmexkmTUqFF59tln8/rrrxfWMwAAwJqoePCqq6tb5qxWt27dsvXWW6eurm6F+82aNStJsu2227ZaPnDgwDQ3N7esX+rGG2/MzjvvnD333DPnnXdeXn755XY6AgDgb5XLpXTpUm73r6qqiv/qAtAmFb/UsL6+PjU1Ncssr6mpycKFC1e439J1f7vvhhtu2Gp9knzqU5/KAQcckL59++YPf/hDrrvuunzmM5/Jv/7rv7Zs3xZdunjzX5Gl/2P0P8i28bzxYeM1v6zO/D5aKpXSq1f3Ttk7dER+ltZcR3wPrXjwWpHm5uaUSqVVbve32zQ3Ny+z/Fvf+lbLv4cNG5Y99tgjRx99dH7wgx/kjDPOaFN/5XIpG230kTbt+2FSU1Nd6RaATsB7xYp15udm0h0zM2deQ7vW3H2Hfjn58J3atSZ0dJ35faDSOtJzV/HgVVNTk/r6+mWWNzQ0rHRijQ+e2erbt2/L8qW1lncWbakddtghAwYMyO9+97u2tp2mpubU1y9q8/7ru6qqcmpqqlNf/3YaG5sq3U6ns/T5gw8L7xXL6szvo0t7nzOvIXVzV3z1Slv079ezXetBZ9AZ3wcqbV2+h9bUVK/WmbWKB6+BAwcucy/X4sWL8+KLL+aYY45Z4X5L7+2aNWtWq4BWV1eXUqm0zL1ff2vpmbG18d57fgBWpbGxyfMErJL3ihXz3ADeB9quIz13Fb/ocb/99suTTz6ZN954o2XZww8/nMWLF2f//fdf4X5bbbVVtt122zzwwAOtlv/4xz/Orrvu2mqWxL/1/PPP589//nMGDx689gcAAACwChU/4zV69OjcfvvtGTNmTMaMGZP58+dn4sSJOfLII1udybr44oszY8aMPPfccy3Lzj333Jx//vnZeuuts+++++anP/1pnnjiidx8880t20ydOjUvvfRS9tprr/Tp0yd//OMfc/3112ezzTbLscceu06PFQAA+HCqePCqqanJtGnTMn78+IwdOzbdu3fPqFGjUltb22q7pqamNDY2tlp22GGH5Z133sn111+fqVOnZptttsmVV17Z6sOTBwwYkJ/85Cd54IEH8tZbb2WjjTbK/vvvn/POO2+l94EBAAC0l4oHr+T9cDR16tSVbjNx4sRMnDhxmeVHHXVUjjrqqBXud9BBB+Wggw5a6x4BAADaquL3eAEAAKzvBC8AAICCCV4AAAAFE7wAAAAK1iEm1wDgw62qqri/AzY1Naepqbmw+gCwOgQvACqmd68N0tTUnJqa6sIeo7GxKQsWLBK+AKgowQuAiulZ3TXlcimT7piZOfMa2r1+/017pfaEPVIulwQvACpK8AKg4ubMa0jd3IWVbgMACmNyDQAAgIIJXgAAAAVzqSG0UblcSrlcKqR2kTO8AQCw7gle0Ablcim9e/cQkAAAWC2CF7RBuVxKVVW5sJnYdt+hX04+fKd2rwsAQGUIXrAWipqJrX+/nu1eEwCAynGdFAAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBulS6AQAAYMWqqoo7V9LU1JympubC6vN/BC8AAOiAevfaIE1NzampqS7sMRobm7JgwSLhax0QvAAAoAPqWd015XIpk+6YmTnzGtq9fv9Ne6X2hD1SLpcEr3VA8AIAgA5szryG1M1dWOk2WEsm1wAAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIIJXgAAAAUTvAAAAArWpdINQJHK5VLK5VK7162q8jcLAABWn+DFeqtcLqV37x5CEgAAFSd4sd4ql0upqipn0h0zM2deQ7vW3n2Hfjn58J3atSYAAOsvwYv13px5Dambu7Bda/bv17Nd6wEAsH5zDRYAAEDBBC8AAICCCV4AAAAFE7wAAAAKJngBAAAUTPACAAAomOAFAABQMMELAACgYIIXAABAwbpUugEAYN0rl0spl0uF1K6q8nddgL8leAHAh0y5XErv3j0EJIB1SPACgA+ZcrmUqqpyJt0xM3PmNbR7/d136JeTD9+p3esCdGaCFwB8SM2Z15C6uQvbvW7/fj3bvSZAZ+caAwAAgIIJXgAAAAVzqSEAAHyIFTXRTlNTc5qamgup3RkJXgAA8CHUu9cGaWpqTk1NdSH1GxubsmDBIuHrfwleAADwIdSzumvK5VIhM5z237RXak/YI+VySfD6X4IXAAB8iBU1wymtmVwDAACgYIIXAABAwQQvAACAgrnHC4D1XmeeKrmI3ot6PgD+VpHvN51tunrBC4D1VmeeKrlUKhXaO0CRin7/TTrfdPWCFwDrrc48VXK5XCqs99136JeTD9+pXWsCfFCR779J55yuXvACYL3XmadKLqL3/v16tms9gBXpzO+/7c1F3gAAAAUTvAAAAArmUkMqauk9DEUwaxcAAB2F4EXFlMul9O7dQ0ACAGC9J3hRMeVyKVVV5cJmuzFrFwAAHYXgRcUVNduNWbsAAOgoXOMFAABQMMELAACgYC41XA8UOTNgkjQ1NXeaTwQHWNeKmiCoyPd1ANY9wauTWxczAzY2NmXBgkXCF8AH9O61QZqamlNTU13pVgDoBASvTq7omQH7b9ortSfskXK5JHgBfEDP6q4pl0tmZgVgtQhe64miZgYEYOXMzArA6jC5BgAAQMEELwAAgIIJXgAAAAVzjxerZU1nTVy6/cr2K3ImRgAA6Eg6RPCaPXt2xo8fn5kzZ6a6ujpHHHFEamtr071791Xue9999+WGG27I3Llzs8022+Scc87JYYcd1mqbJUuW5Kqrrsp9992XhoaG7Lrrrrnkkkuyww47FHVI6421nS7ZNMsAANABgld9fX1OOeWUbLHFFrnqqqvy+uuvZ8KECVmwYEEmTZq00n0feuihjBs3Lp/73OfysY99LI888kjOP//89OrVKyNGjGjZbsKECZkxY0bGjRuXLbfcMjfffHNOPfXU3H///dlkk02KPsROrcjpkk2VDADAh0XFg9f06dNTX1+fGTNmpE+fPkmSqqqq1NbW5uyzz87AgQNXuO93v/vdHHroofnSl76UJNlnn30ye/bsXHXVVS3Ba968eZk+fXouueSSHHfccUmSIUOG5OCDD860adNSW1tb8BGuH4qYLtlUyQAAfFhU/Cabn//85xk+fHhL6EqSkSNHplu3bnnsscdWuN9LL72UWbNmZdSoUa2Wjxo1Ks8++2xef/31JMnjjz+exsbGHHHEES3b9OzZMwcddNBK6wMAALSXigevurq6Zc5qdevWLVtvvXXq6upWuN+sWbOSJNtuu22r5QMHDkxzc3PL+rq6uvTt2ze9e/deZrvZs2enqampHY4CAABgxUrNzc3NlWxg5513zhe+8IV87nOfa7X805/+dDbeeONMmTJlufv96Ec/ygUXXJDHH3+81X1a//M//5NPfOITufbaa3PwwQfn0ksvzdNPP52HHnqo1f533313Lr300sycOTM9e675JW/Nzc1paqroU5ckKZWScrmcBQ3v5r3G9g+RG3SrSq8e3QqpX2Ttouvrfd3XLrq+3itTX++Vqa/3ytTXe2Xq670y9YvuvUtV+X8ngWvK8tLM0t+RV7S+PZXLpZRKpVVuV/F7vFakubl5tQ7gb7dZmiM/uHx5ddY2b5ZKpVRVrbq/daV3rw06bX29V6Z+Z61ddH29V6a+3itTX++Vqa/3ytTXe2XqF917ubzyC/hWtX5dqngnNTU1qa+vX2Z5Q0NDampqVrjfhhtumCRZuLD1hA9Lay3dd0X16+vr07Vr1/To0aPNvQMAAKyOigevgQMHLnMv1+LFi/Piiy+udEbDpfd2Lb2Xa6m6urqUSqWW9QMHDsz8+fOzYMGCZbYbMGBAh0rBAADA+qniqWO//fbLk08+mTfeeKNl2cMPP5zFixdn//33X+F+W221Vbbddts88MADrZb/+Mc/zq677toyS+KIESNSLpfz4IMPtmzz1ltv5dFHH11pfQAAgPZS8Xu8Ro8endtvvz1jxozJmDFjMn/+/EycODFHHnlkqzNeF198cWbMmJHnnnuuZdm5556b888/P1tvvXX23Xff/PSnP80TTzyRm2++uWWbTTfdNKNHj86kSZPSpUuXbLHFFrnllluSJKeccsq6O1AAAOBDq+LBq6amJtOmTcv48eMzduzYdO/ePaNGjVrmg42bmprS2NjYatlhhx2Wd955J9dff32mTp2abbbZJldeeWXLhycvNW7cuPTo0SOTJ09OQ0NDhgwZkmnTprWaDREAAKAoFZ9OHgAAYH1X8Xu8AAAA1neCFwAAQMEELwAAgIIJXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4MU688477+Q73/lODjzwwOyyyy456KCDMmXKlEq3xRr67//+7+y4447ZbbfdKt0Kq6mxsTE33XRTTjzxxOyzzz4ZNmxYTjjhhPzqV7+qdGssx+zZs3P66adn6NChGT58eMaPH5933nmn0m2xGh588MGMGTMm+++/f4YOHZojjzwyd955Z5qamirdGm301ltvZb/99sugQYPy29/+ttLtsJruvvvu/P3f/30GDx6c4cOH56yzzqp0S0mSLpVugA+HxsbGnHnmmfnrX/+ac889N1tuuWVefvnl/OUvf6l0a6yB5ubm/NM//VP69OmTRYsWVbodVtM777yTG264IZ/61Kdy+umnp0uXLrnvvvty2mmn5brrrsuBBx5Y6Rb5X/X19TnllFOyxRZb5Kqrrsrrr7+eCRMmZMGCBZk0aVKl22MVvve972WLLbbIhRdemI033ji//vWvc/nll+ell17Kl7/85Uq3Rxtce+21aWxsrHQbrIGrr7463//+93PWWWdlyJAhWbhwYX7xi19Uuq0kghfryD333JPnnnsuDz74YPr27VvpdmijH/7wh3njjTdyzDHH5Lbbbqt0O6ym7t2756c//Wk23HDDlmUjRozIn//859xyyy2CVwcyffr01NfXZ8aMGenTp0+SpKqqKrW1tTn77LMzcODACnfIylx//fUt45Yk++yzTxYtWpQ77rgj559/frp161bB7lhTdXV1ufPOO/PlL385X/va1yrdDquhrq4u1113XW688caMGDGiZfkhhxxSwa7+j0sNWSfuueeeHHbYYUJXJ1ZfX58rrrgiF110Ubp27VrpdlgDVVVVrUJXkpRKpeywww555ZVXKtQVy/Pzn/88w4cPb/XL+8iRI9OtW7c89thjFeyM1fHBcVtqxx13zLvvvpsFCxas+4ZYK5dffnlGjx6dAQMGVLoVVtO9996brbbaqlXo6kgELwq3ePHiPPfcc9lss81ywQUXZMiQIdl9993zpS99KW+88Ual22M1TZ48OTvvvLOzI+uJpqam/OY3v3EGpYOpq6tbZky6deuWrbfeOnV1dRXqirUxc+bM9O7dOxtvvHGlW2ENPPTQQ3nhhRdyzjnnVLoV1sB//dd/Zfvtt88111yT4cOHZ5dddsmJJ56Y559/vtKtJRG8WAcWLFiQ9957LzfddFMaGhpyzTXX5Ctf+Up++ctf5otf/GKl22M1PP/887nnnnty0UUXVboV2sltt92W2bNn57TTTqt0K3xAfX19ampqllleU1OThQsXVqAj1sZvf/vb3HvvvTnllFNSVVVV6XZYTW+//XYmTpyYL37xi+nZs2el22ENvPrqq3n88cdz//335xvf+EauvvrqvP322znttNNSX19f6fbc40XbNDQ0rNYlSltttVWam5uTvP+Lw1VXXdVyjftHPvKRjB07Ns8++2x23XXXQvultTUZv65du+ayyy7LZz7zGWdHOpA1GcO/va/kqaeeyre//e384z/+Y4YNG1ZUi7Sj5ubmlEqlSrfBGnj11Vdz7rnnZvDgwTnjjDMq3Q5r4LrrrsvGG2+co48+utKtsIaam5uzaNGiXH311dluu+2SJDvvvHMOPvjg3HXXXRX/WRS8aJOHH354tc5+zJgxIx/96EeTJLvvvnurXwD32WefJMkf//hHwWsdW5PxmzVrVurq6jJp0qSWvxa9++67Sd7/6/wGG2yQDTbYoNB+WdaajOGOO+7Y8v0LL7yQMWPG5P/9v/+XCy64oMgWaYOamprl/lW2oaHBHz46kYaGhpxxxhnp3r17rrvuOvfFdiJz587NLbfckmuuuSZvvvlmkrTM4rto0aK89dZb+chHPlLJFlmJDTfcMH379m0JXUnSr1+/bLvttvnTn/5Uwc7eJ3jRJkcfffQa/SVoyy23XOG6ctkVr+vamozfI488koULF+aggw5aZt2wYcNyxhlnpLa2tr1bZBXW9GcwSV588cV89rOfzU477ZR//ud/dgalAxo4cOAy93ItXrw4L774Yo455pgKdcWaePfdd3P22Wfntddey1133ZWNNtqo0i2xBubMmZMlS5bkc5/73DLrTj755AwZMiQ/+MEPKtAZq2PgwIF5+eWXl1ne3NzcIX7fFLxYJw444IA88sgjWbx4cctZr1/+8pdJkh122KGSrbEKRx11VPbaa69Wy+6777488MADuemmm7LFFltUqDPWxKuvvpp//Md/TN++fXPttdea1rqD2m+//XLdddfljTfeaPmF/eGHH87ixYuz//77V7g7VuW9997LF77whbzwwgu5/fbbV/pHRzqmHXfcMbfeemurZc8//3wmTJiQb3zjGxk8eHCFOmN1HHDAAbnvvvvyhz/8Idtvv32SZN68eZk1a1aHuHS01Lz0Bhwo0Ny5c/PJT34yu+22W0488cS88sorueKKK7LHHnvkmmuuqXR7rKGrr746t9xyS37zm99UuhVWwzvvvJPjjz8+L774Yr797W8v87EOQ4cOrUxjLKO+vj6jRo3KlltumTFjxmT+/PmZOHFiRowY4QOUO4GvfvWrueuuu3LBBRdkzz33bLXu7/7u70zU0En9+te/zsknn5x77rlH8OrgGhsbc+yxx+att97KF77whXTr1i3XXHNN5s+fn4ceeig9evSoaH/OeLFObLnllvn+97+fiRMnZuzYsamurs7IkSNz4YUXVro1WO+99tpreeGFF5JkuVMj//73v1/XLbECNTU1mTZtWsaPH5+xY8eme/fuGTVqlMt5O4nHH388SfLtb397mXW33npr9t5773XdEnyoVFVV5aabbso3v/nNfPWrX817772XYcOG5Yorrqh46Eqc8QIAAChc5e8yAwAAWM8JXgAAAAUTvAAAAAomeAEAABRM8AIAACiY4AUAAFAwwQsAAKBgghcAAEDBBC8AAICCCV4AAAAFE7wAYDW9++67+dSnPpVDDjkkDQ0NLctfffXVfOxjH8tJJ52UxsbGCnYIQEcleAHAatpggw0yefLkzJ8/PxdffHGSpKmpKbW1tWlubs4VV1yRqqqqCncJQEfUpdINAEBn8tGPfjTjx4/P+eefn2nTpmXhwoV56qmncvPNN6dfv36Vbg+ADkrwAoA1dPjhh+epp57Kt7/97TQ2NubMM8/Mxz72sUq3BUAH5lJDAGiDY445JkuWLElVVVVOPvnkSrcDQAdXam5ubq50EwDQmSxatCjHHHNMmpqaMn/+/AwbNizXXXddpdsCoANzxgsA1tDXvva1/OUvf8mUKVNy+eWX59FHH833v//9SrcFQAcmeAHAGrj77rvzox/9KF/96lez3XbbZeTIkTnxxBMzadKkPPvss5VuD4AOyqWGALCafv/73+e4447LYYcdlokTJ7YsX7x4cUaPHp0FCxZkxowZqampqWCXAHREghcAAEDBXGoIAABQMMELAACgYIIXAABAwQQvAACAggleAAAABRO8AAAACiZ4AQAAFEzwAgAAKJjgBQAAUDDBCwAAoGCCFwAAQMEELwAAgIL9/2gBKecDIKZCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from numpy import random as nprd\n",
    "\n",
    "\n",
    "def sampling(N):\n",
    "    ## 产生一组样本，以0.5的概率为z+3，0.5的概率为z-3，其中z~N(0,1)\n",
    "    d = nprd.rand(N) < 0.5\n",
    "    z = nprd.randn(N)\n",
    "    x = np.array([z[i] + 3 if d[i] else z[i] - 3 for i in range(N)])\n",
    "    return x\n",
    "\n",
    "\n",
    "N = [2, 3, 4, 10, 100, 1000]  # sample size\n",
    "M = 2000\n",
    "MEANS = []\n",
    "for n in N:\n",
    "    mean_x = np.zeros(M)\n",
    "    for i in range(M):\n",
    "        x = sampling(n)\n",
    "        mean_x[i] = np.mean(x) / np.sqrt(10 / n)  ## 标准化，因为var(x)=10\n",
    "    MEANS.append(mean_x)\n",
    "\n",
    "## 导入matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.mlab as mlab\n",
    "# 设定图像大小\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0)\n",
    "\n",
    "x = sampling(1000)\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('Density')\n",
    "plt.title('Histogram of Mixed Normal')\n",
    "plt.hist(x, bins=30, density=True)  ## histgram\n",
    "plt.show()  ## 画图\n",
    "\n",
    "## 样本均值\n",
    "ax1 = plt.subplot(2, 3, 1)\n",
    "ax2 = plt.subplot(2, 3, 2)\n",
    "ax3 = plt.subplot(2, 3, 3)\n",
    "ax4 = plt.subplot(2, 3, 4)\n",
    "ax5 = plt.subplot(2, 3, 5)\n",
    "ax6 = plt.subplot(2, 3, 6)\n",
    "\n",
    "## normal density\n",
    "x = np.linspace(-3, 3, 100)\n",
    "d = [1.0 / np.sqrt(2 * np.pi) * np.exp(-i**2 / 2) for i in x]\n",
    "\n",
    "\n",
    "def plot_density(ax, data, N):\n",
    "    ax.hist(data, bins=30, density=True)  ## histgram\n",
    "    ax.plot(x, d)\n",
    "    ax.set_title(r'Histogram of $\\bar{x}$:N=%d' % N)\n",
    "\n",
    "\n",
    "plot_density(ax1, MEANS[0], N[0])\n",
    "plot_density(ax2, MEANS[1], N[1])\n",
    "plot_density(ax3, MEANS[2], N[2])\n",
    "plot_density(ax4, MEANS[3], N[3])\n",
    "plot_density(ax5, MEANS[4], N[4])\n",
    "plot_density(ax6, MEANS[5], N[5])\n",
    "\n",
    "plt.show()  ## 画图\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 实例5：极大似然估计，使用SciPy的优化工具箱\n",
    "\n",
    "接下来我们使用极大似然估计方法对Beta分布的参数进行估计，并进行模拟。\n",
    "\n",
    "由于Beta分布的对数似然函数为$$\\ln \\left( \\alpha, \\beta | x \\right)=\\sum_{i=1}^N \\left[ -\\ln (Beta(\\alpha,\\beta))+(\\alpha-1) \\ln (x_i) + (\\beta-1)\\ln (1-x_i) \\right]$$\n",
    "最大化似然函数，或者最小化负的似然函数，即可得到极大似然估计。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_266964/3742322882.py:22: OptimizeWarning: Unknown solver options: xtol\n",
      "  res = minimize(log_likelihood,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bias =  [0.02492407 0.00568567]\n",
      "s.e. =  [0.31976409 0.09470622]\n",
      "RMSE =  [0.32073398 0.09487674]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from numpy import random as nprd\n",
    "from scipy.optimize import minimize\n",
    "import scipy as sc\n",
    "\n",
    "\n",
    "def sampling(a, b, N):\n",
    "    x = nprd.beta(a, b, N)\n",
    "    return x\n",
    "\n",
    "\n",
    "def estimate(x):\n",
    "\n",
    "    def log_likelihood(theta):\n",
    "        likeli = np.array([\n",
    "            -1 * np.log(sc.special.beta(theta[0], theta[1])) +\n",
    "            (theta[0] - 1) * np.log(xi) + (theta[1] - 1) * np.log(1 - xi)\n",
    "            for xi in x\n",
    "        ])\n",
    "        return -1 * np.mean(likeli)\n",
    "\n",
    "    res = minimize(log_likelihood,\n",
    "                   np.array([1, 1]),\n",
    "                   method='nelder-mead',\n",
    "                   options={\n",
    "                       'xtol': 1e-4,\n",
    "                       'disp': False\n",
    "                   })\n",
    "    return res\n",
    "\n",
    "\n",
    "M = 500  ## simulation times\n",
    "N = 200  ## sample size\n",
    "a = 3\n",
    "b = 1  ## true value\n",
    "RESULT = np.zeros((M, 2), np.float64)\n",
    "for m in range(M):\n",
    "    x = sampling(a, b, N)\n",
    "    res = estimate(x)\n",
    "    RESULT[m] = res.x\n",
    "\n",
    "MEAN_RESULT = np.average(RESULT, 0)\n",
    "BIAS = MEAN_RESULT - np.array([a, b])\n",
    "STD = np.std(RESULT, 0)\n",
    "MSE2 = np.array([i**2 for i in STD]) + np.array([i**2 for i in BIAS])\n",
    "MSE = np.array([np.sqrt(i) for i in MSE2])\n",
    "print(\"Bias = \", BIAS)\n",
    "print(\"s.e. = \", STD)\n",
    "print(\"RMSE = \", MSE)\n",
    "\n",
    "## 画图\n",
    "import matplotlib.pyplot as plt\n",
    "# 设定图像大小\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0)\n",
    "## 样本均值\n",
    "ax1 = plt.subplot(1, 2, 1)\n",
    "ax2 = plt.subplot(1, 2, 2)\n",
    "ax1.hist(RESULT[:, 0], bins=30, density=1)\n",
    "ax2.hist(RESULT[:, 1], bins=30, density=1)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Anaconda",
   "language": "python",
   "name": "anaconda"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}