Nie możesz wybrać więcej, niż 25 tematów
Tematy muszą się zaczynać od litery lub cyfry, mogą zawierać myślniki ('-') i mogą mieć do 35 znaków.
1195 wiersze
258 KiB
1195 wiersze
258 KiB
{
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"cells": [
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{
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"attachments": {
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"image.png": {
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"image/png": 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"
|
|
}
|
|
},
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 4.1.1 多维数组对象ndarray\n",
|
|
"  NumPy的核心是ndarray对象。ndarray对象是封装了相同数据类型的n维数组，可以表示一维数组、二维数组甚至多维数组。访问ndarray对象的属性值，可以获取数组的维数、形状、元素个数、数据类型等数据，narray对象的常用属性如下表4-1-1所示。\n",
|
|
"\n",
|
|
"### 1. 创建多维数组对象\n",
|
|
"#### （1）一维数组对象的创建 \n",
|
|
"* 调用array()函数创建一维数组\n",
|
|
"\n",
|
|
"  使用NumPy中的array()函数可以基于Python列表创建一维数组，其格式如下所示：\n",
|
|
"<center>numpy.array(object, dtype=None, ndmin=0)</center>\n",
|
|
"  其中，object表示可被转换成数组的其它数据对象，例如列表；dtype表示数组所需的数据类型；ndmin为指定生成数组的维数。\n",
|
|
"\n",
|
|
"  **例4-1-1** 创建一个名为persons的一维数组对象，存储'宋江'、'吴用'、'林冲'和'秦明'这4位水浒传英雄的名字。查看persons对象的属性"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import numpy as np"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"persons=np.array(['宋江','吴用','林冲','秦明'])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array(['宋江', '吴用', '林冲', '秦明'], dtype='<U2')"
|
|
]
|
|
},
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"1"
|
|
]
|
|
},
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons.ndim #查看persons对象的维度数目"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"4"
|
|
]
|
|
},
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons.size #查看persons对象的尺寸"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"dtype('<U2')"
|
|
]
|
|
},
|
|
"execution_count": 6,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons.dtype #查看persons对象的数据类型"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"* 调用arange ()函数创建一维数组\n",
|
|
"\n",
|
|
"  使用NumPy中的arange ()函数可以生成数组，其格式如下所示：\n",
|
|
"<center>numpy.arange([start,] stop[, step,],dtype=None)</center>\n",
|
|
"  与Python中内置函数range()用法类似，numpy.arange()函数的参数start表示开始的数字，stop表示结束的数字，但不包括stop，step表示步长的数字。\n",
|
|
"\n",
|
|
"  **例4-1-2** 示例使用arange()函数生成一维数组对象，查看对象的数据类型，注意与range()函数不同，arange()函数支持float数据类型。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"num1=np.arange(1,10)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"dtype('int32')"
|
|
]
|
|
},
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num1.dtype #查看num1对象的数据类型"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"num2=np.arange(1.0,10.0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"dtype('float64')"
|
|
]
|
|
},
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num2.dtype #查看num2对象的数据类型"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([1, 2, 3, 4, 5, 6, 7, 8, 9])"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([1., 2., 3., 4., 5., 6., 7., 8., 9.])"
|
|
]
|
|
},
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num2"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"* 调用linspace()函数创建一维数组\n",
|
|
"\n",
|
|
"  使用NumPy中的linspace()函数可以创建等间隔一维数组，它的常用格式如下所示：\n",
|
|
"<center>numpy.linspace(start,stop,num=50,…)</center>\n",
|
|
"  其中，start代表起始的值；表示结束的值；num表示在这个区间里生成数字的个数，生成的数组是等间隔生成的。start和stop这两个数字可以是整数或者浮点数。注意区分stop参数在numpy.linspace()与numpy.arange()函数用法上的差异，默认情况下，生成的数组元素包括stop。\n",
|
|
"\n",
|
|
"  **例4-1-3** 示例使用linspace()函数创建三个等间隔的一维数组对象。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 1., 4., 7., 10.])"
|
|
]
|
|
},
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"np.linspace(1,10,4)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 1. , 2.8, 4.6, 6.4, 8.2, 10. ])"
|
|
]
|
|
},
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"np.linspace(1,10,6)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 2.5 , 4.35714286, 6.21428571, 8.07142857, 9.92857143,\n",
|
|
" 11.78571429, 13.64285714, 15.5 ])"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"np.linspace(2.5,15.5,8)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### （2）二维数组对象的创建\n",
|
|
"* 调用array()函数创建二维数组\n",
|
|
"\n",
|
|
"  NumPy中的array()函数也可以基于Python的嵌套列表创建二维数组。\n",
|
|
"\n",
|
|
"  **例4-1-4** 创建一个记录三位同学语、数、英三门课程的二维NumPy数组对象，查看数组对象的属性。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"scores=np.array([[96,73,78],[90,89,92],[60,70,83]])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[96, 73, 78],\n",
|
|
" [90, 89, 92],\n",
|
|
" [60, 70, 83]])"
|
|
]
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"2"
|
|
]
|
|
},
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores.ndim #查看scores对象的维度数目"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"9"
|
|
]
|
|
},
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores.size #查看scores对象的尺寸"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"(3, 3)"
|
|
]
|
|
},
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores.shape #查看scores对象的数组形状"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"dtype('int32')"
|
|
]
|
|
},
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores.dtype #查看scores对象的数据类型"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### （3）创建多维数组的常用方法\n",
|
|
"  Numpy库还提供了一些数组创建函数，以满足不同维度，不同需求。\n",
|
|
"\n",
|
|
"* 调用reshape()函数创建多维数组\n",
|
|
"\n",
|
|
"  ndarray对象的reshape()函数用于将一维数组转换为指定的多维数组，其格式如下所示：\n",
|
|
"\n",
|
|
"  ndarray.reshape(newshape,...)\n",
|
|
"\n",
|
|
"  其中newshape表示新数组的形状，newshape的类型为整数或者整数元组。\n",
|
|
"\n",
|
|
"  reshape()函数经常与arange()函数结合使用，生成任意n维数组。\n",
|
|
"\n",
|
|
"  **例4-1-5** 创建一个形状为2×3×4的三维数组对象num_reshape。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"num=np.arange(0,24,1) #创建0到23的步长为1的一维数组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 25,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"num_reshape=num.reshape((2,3,4))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[[ 0, 1, 2, 3],\n",
|
|
" [ 4, 5, 6, 7],\n",
|
|
" [ 8, 9, 10, 11]],\n",
|
|
"\n",
|
|
" [[12, 13, 14, 15],\n",
|
|
" [16, 17, 18, 19],\n",
|
|
" [20, 21, 22, 23]]])"
|
|
]
|
|
},
|
|
"execution_count": 26,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num_reshape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"* 调用zeros()函数创建多维数组\n",
|
|
"\n",
|
|
"  NumPy中的zeros()函数用于生成指定形状的全0数组，其格式如下所示：\n",
|
|
"\n",
|
|
"  numpy.zeros(shape,…)\n",
|
|
"\n",
|
|
"  其中，shape表示新的数组形状，shape的类型为整数或者整数元组。\n",
|
|
"\n",
|
|
"  **例4-1-6** 创建一个3×2，元素都为0的二维数组对象num。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"num=np.zeros((3,2))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[0., 0.],\n",
|
|
" [0., 0.],\n",
|
|
" [0., 0.]])"
|
|
]
|
|
},
|
|
"execution_count": 30,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"* 调用ones()函数创建多维数组\n",
|
|
"\n",
|
|
"  NumPy中的ones()函数用于生成指定形状的全1数组，其格式如下所示：\n",
|
|
"\n",
|
|
"  numpy.ones(shape,…)\n",
|
|
"\n",
|
|
"  其中，shape表示新的数组形状，shape的类型为整数或者整数元组。\n",
|
|
"\n",
|
|
"  **例4-1-7** 创建一个3×2，元素都为1的二维数组对象num。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"num=np.ones((3,2))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[1., 1.],\n",
|
|
" [1., 1.],\n",
|
|
" [1., 1.]])"
|
|
]
|
|
},
|
|
"execution_count": 32,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"* 调用eye()函数创建多维数组\n",
|
|
"\n",
|
|
"  NumPy中的eye()函数用于生成指定维数的单位矩阵。所谓单位矩阵是指对角线元素都为1，其他元素都为0的方阵。由于在数学中单位矩阵一般用“I”表示，因此NumPy中采用了同音的eye单词作为函数名称。eye()函数格式如下所示：\n",
|
|
"\n",
|
|
"  numpy.eye(N, M,…)\n",
|
|
"\n",
|
|
"  其中，N表示输出数组的行数，M表示输出数组的列数。\n",
|
|
"\n",
|
|
"  **例4-1-8** 创建一个3*3的单位矩阵数组对象num。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 39,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"num=np.eye(3,3)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 40,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[1., 0., 0.],\n",
|
|
" [0., 1., 0.],\n",
|
|
" [0., 0., 1.]])"
|
|
]
|
|
},
|
|
"execution_count": 40,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"num"
|
|
]
|
|
},
|
|
{
|
|
"attachments": {
|
|
"image.png": {
|
|
"image/png": 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"
|
|
}
|
|
},
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"* 调用随机函数创建多维数组\n",
|
|
"\n",
|
|
"  表4-1-2提供了NumPy中常用随机函数。其中，size可以是一个整数，定义一维数组的长度，也可以是一个元组，定义一个二维数组的形状。\n",
|
|
"\n",
|
|
"\n",
|
|
"  **例4-1-9** 使用随机函数创建数组示例。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#创建一个2行、2列的[0,1)之间的随机数组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 55,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"arr1=np.random.rand(2,2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 46,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[0.77130271, 0.01202472],\n",
|
|
" [0.37569254, 0.53583913]])"
|
|
]
|
|
},
|
|
"execution_count": 46,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"arr1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#创建一个2行、3列的[0,10)之间的随机数组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 50,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"arr2=np.random.randint(0,10,(2,3))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[2, 3, 3],\n",
|
|
" [8, 7, 5]])"
|
|
]
|
|
},
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"arr2"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#创建一个3行、4列的[1,2)之间的服从均匀分布的随机数组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 52,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"arr3=np.random.uniform(1,2,(3,4))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 53,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[1.32648459, 1.15192884, 1.68493261, 1.77076984],\n",
|
|
" [1.66507784, 1.04769422, 1.65859836, 1.82622374],\n",
|
|
" [1.81416712, 1.450869 , 1.52496581, 1.70409322]])"
|
|
]
|
|
},
|
|
"execution_count": 53,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"arr3"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#创建一个2行、3列的服从标准正态分布的随机数组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"arr4=np.random.normal(0,1,(2,3))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 38,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[ 0.32936634, 0.19723827, 2.01196735],\n",
|
|
" [-0.53106596, -0.48528362, 0.14563632]])"
|
|
]
|
|
},
|
|
"execution_count": 38,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"arr4"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 2. 数组元素的访问\n",
|
|
"#### （1）通过索引方式进行查询\n",
|
|
"\n",
|
|
"  每一个数组元素都是由一个整数值或整数元组标识，称为索引或下标。通过索引可以获取对应的数组元素。可以一次访问一个数组元素，也可以通过行、列索引值列表访问多个数组元素。\n",
|
|
"\n",
|
|
"  **例4-1-10** 访问一维数组对象persons和persons中的数组元素。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 39,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array(['宋江', '吴用', '林冲', '秦明'], dtype='<U2')"
|
|
]
|
|
},
|
|
"execution_count": 39,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons #显示persons对象"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 40,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'林冲'"
|
|
]
|
|
},
|
|
"execution_count": 40,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons[2] #取索引号为2的元素，得到字符串对象"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array(['宋江', '林冲'], dtype='<U2')"
|
|
]
|
|
},
|
|
"execution_count": 41,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons[[0,2]] #取索引号为0和2的元素，得到数组对象"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"  **例4-1-11** 访问二维数组scores和和scores中的数组元素。 "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 42,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[96, 73, 78],\n",
|
|
" [90, 89, 92],\n",
|
|
" [60, 70, 83]])"
|
|
]
|
|
},
|
|
"execution_count": 42,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores #显示scores对象"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"90"
|
|
]
|
|
},
|
|
"execution_count": 43,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores[1,0] #取索引号为（1，0）的数组元素"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 44,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([96, 78])"
|
|
]
|
|
},
|
|
"execution_count": 44,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores[[0],[0,2]] #取索引号为（0，0），（0，2）的数组元素，返回数组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 45,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([96, 92])"
|
|
]
|
|
},
|
|
"execution_count": 45,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores[[0,1],[0,2]] #取索引号为（0，0），（1，2）的数组元素，返回数组"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### （2）通过切片方式进行查询\n",
|
|
"  **例4-1-12** 切片访问persons中的数组元素"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 46,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array(['林冲', '秦明'], dtype='<U2')"
|
|
]
|
|
},
|
|
"execution_count": 46,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons[2:] #取索引号大于等于2的元素"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 47,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array(['吴用', '林冲'], dtype='<U2')"
|
|
]
|
|
},
|
|
"execution_count": 47,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"persons[1:3] #取索引号从1到2的元素"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"  **例4-1-13** 切片访问scores对象中的数组元素。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 48,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[89, 92],\n",
|
|
" [70, 83]])"
|
|
]
|
|
},
|
|
"execution_count": 48,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores[1:,1:] #取行索引号和列索引号都为大于等于1的元素"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 49,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[73, 78],\n",
|
|
" [89, 92],\n",
|
|
" [70, 83]])"
|
|
]
|
|
},
|
|
"execution_count": 49,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores[:,1:3] #取列索引号从1到2的所有行的元素"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"  **例4-1-14** 同时使用索引值和切片方式访问scores对象。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 50,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[96, 78],\n",
|
|
" [90, 92],\n",
|
|
" [60, 83]])"
|
|
]
|
|
},
|
|
"execution_count": 50,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores[:,[0,2]] #取列索引号为0和2的元素"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### （3）通过布尔运算方式进行查询\n",
|
|
"  ndarry对象可以通过布尔运算方式获取满足布尔表达式的元素。布尔表达式可以由关系运算构造，多个条件使用&（与）、|（或）、~（非）连接。\n",
|
|
"\n",
|
|
"  **例4-1-15** 使用布尔运算式查询scores对象中高于90或者低于80的成绩。\n",
|
|
"\n",
|
|
"  mask是用于筛选的布尔数组，具有与访问数组相同的行数和列数，布尔表达式计算结果为True或False，使用布尔数组就能筛选出符合条件的数组元素。也可以不产生mask数组，在scores数组的方括号中直接使用布尔表达式。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[96, 73, 78],\n",
|
|
" [90, 89, 92],\n",
|
|
" [60, 70, 83]])"
|
|
]
|
|
},
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 52,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"mask=(scores>90)|(scores<80)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 53,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[ True, True, True],\n",
|
|
" [False, False, True],\n",
|
|
" [ True, True, False]])"
|
|
]
|
|
},
|
|
"execution_count": 53,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"mask"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([96, 73, 78, 92, 60, 70])"
|
|
]
|
|
},
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"scores[mask]"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.8"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|