{"id":45851,"date":"2022-12-04T14:52:51","date_gmt":"2023-11-30T02:48:03","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/45851-2\/"},"modified":"2024-04-29T03:41:32","modified_gmt":"2024-04-28T19:41:32","slug":"45851-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/45851-2\/","title":{"rendered":""},"content":{"rendered":"

\u74b0\u5883\u8a2d\u5b9a<\/h1>\n
pyenv install anaconda3-2.1.0\r\n<\/code><\/pre>\n
eval \"$(pyenv init -)\"\r\n<\/code><\/pre>\n
# python3\u306eanaconda\u5229\u7528\r\npyenv global anaconda3-2.1.0\r\n# \u5143\u306b\u623b\u308b\u5834\u5408\r\npyenv global system\r\n<\/code><\/pre>\n
jupyter(ipython notebook\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9)<\/h1>\n
1\u884c\u5b9f\u884c<\/h2>\n
Ctrl + Enter<\/p>\n
\u65b0\u3057\u3044\u884c\u3092\u4f5c\u3063\u3066\u5b9f\u884c<\/h2>\n
Shift + Enter<\/p>\n
markdown\u3067\u30e1\u30e2\u4f5c\u6210<\/h2>\n
\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8<\/div>\n
Section2<\/h1>\n
Lesson4<\/h2>\n
ipython notebook\u306e\u4f7f\u3044\u65b9<\/h3>\n
\u9069\u5f53\u306a\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3067ipython notebook\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u30d6\u30e9\u30a6\u30b6\u3067ipython\u306e\u753b\u9762\u304c\u7acb\u3061\u4e0a\u304c\u308b\u3002
\n\u4f5c\u696d\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306f\uff1a\/usr\/local\/wk\/udemy_lecture<\/p>\n
Section3<\/h1>\n
Lecture7<\/h2>\n
numpy\u306earray\u3092\u4f7f\u3046\u3002<\/h3>\n
\u4e00\u756a\u7c21\u5358\u306a\u306e\u306f\u3001\u30ea\u30b9\u30c8\u304b\u3089\u4f5c\u308b\u3002<\/p>\n
my_list1 = [1, 2, 3, 4]\r\nmy_array1 = np.array(my_list1)\r\nmy_array1\r\narray([1, 2, 3, 4])\r\n<\/code><\/pre>\n
\u30ea\u30b9\u30c8\u540c\u58eb\u3092\u304f\u3063\u3064\u3051\u3066\u3001\u591a\u6b21\u5143\u914d\u5217\u306b\u3067\u304d\u308b<\/p>\n
my_list2 = [11, 22, 33, 44]\r\nmy_lists = [my_list1, my_list2]\r\nmy_lists\r\n[[1, 2, 3, 4], [11, 22, 33, 44]]\r\nmy_array2 = np.array(my_lists)\r\nmy_array2\r\narray([[ 1,  2,  3,  4],\r\n       [11, 22, 33, 44]])\r\n<\/code><\/pre>\n
\u4ed6\u306b\u3082<\/p>\n
# \u884c\u5217\u6570\u78ba\u8a8d\r\nmy_array2.shape\r\n(2, 4)\r\n\r\n# 0\u884c\u5217\u306e\u4f5c\u6210\r\nmy_zeros = np.zeros(5)\r\n# \u30c7\u30fc\u30bf\u30bf\u30a4\u30d7\u306e\u78ba\u8a8d\uff08np.array\u306f\u5168\u8981\u7d20\u304c\u540c\u3058\u30c7\u30fc\u30bf\u30bf\u30a4\u30d7\u3058\u3083\u306a\u304d\u3083\u3060\u3081\uff09\r\nmy_zeros.dtype\r\ndtype('float64')\r\n# \u5168\u8981\u7d20\u304c1\u306e\u884c\u5217\u4f5c\u6210\r\nnp.ones((5, 5))\r\n\r\narray([[ 1.,  1.,  1.,  1.,  1.],\r\n       [ 1.,  1.,  1.,  1.,  1.],\r\n       [ 1.,  1.,  1.,  1.,  1.],\r\n       [ 1.,  1.,  1.,  1.,  1.],\r\n       [ 1.,  1.,  1.,  1.,  1.]\r\n       ])\r\n# \u5358\u4f4d\u884c\u5217\u4f5c\u6210\r\nnp.eye(5)\r\narray([[ 1.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  1.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  1.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  1.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  1.]])\r\n# \u9023\u756a\u306e\u884c\u5217\u4f5c\u6210\r\nnp.arange(5)\r\narray([0, 1, 2, 3, 4])\r\n# \u305d\u306e\u4ed6\r\narray([0, 1, 2, 3, 4])\r\narray([ 5,  7,  9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37,\r\n       39, 41, 43, 45, 47, 49])\r\n<\/code><\/pre>\n
Lecture8<\/h2>\n
array\u306e\u4f7f\u3044\u65b9\uff08\u57fa\u672c\uff09<\/h3>\n
arr1= np.array([[1, 2, 3, 4],[8, 9, 10, 11]])\r\narr1 * arr1\r\narray([[  1,   4,   9,  16],\r\n       [ 64,  81, 100, 121]])\r\narr1 - arr1\r\narray([[0, 0, 0, 0],\r\n       [0, 0, 0, 0]])\r\n1 \/ arr1\r\narray([[ 1.        ,  0.5       ,  0.33333333,  0.25      ],\r\n       [ 0.125     ,  0.11111111,  0.1       ,  0.09090909]])\r\n# 3\u4e57\r\narr1 ** 3\r\narray([[   1,    8,   27,   64],\r\n       [ 512,  729, 1000, 1331]])\r\n<\/code><\/pre>\n
Lecture9<\/h2>\n
\u6dfb\u3048\u5b57<\/h3>\n
import numpy as np\r\nimport numpy as np\r\narr\r\narray([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])\r\narr[8]\r\n8\r\n# \u30b9\u30e9\u30a4\u30b9\r\narr[1:5]\r\narray([1, 2, 3, 4])\r\narr[0:5] = 100\r\narray([100, 100, 100, 100, 100,   5,   6,   7,   8,   9,  10])\r\narr = np.arange(0,11)\r\n# \u30b9\u30e9\u30a4\u30b9\u8868\u73fe\u3092\u4f7f\u3063\u3066\u3001\u30b3\u30d4\u30fc\u3057\u305f\u30a2\u30ec\u30a4\u3092\u5909\u66f4\u3059\u308b\u3068\u304d\u306f\u6ce8\u610f\uff01\r\nslice_arr = arr[0:6]\r\nslice_arr\r\narray([0, 1, 2, 3, 4, 5])\r\nslice_arr[:] = 99\r\nslice_arr\r\narray([99, 99, 99, 99, 99, 99])\r\narr\r\narray([99, 99, 99, 99, 99, 99,  6,  7,  8,  9, 10])\r\n# \u3084\u308b\u306a\u3089\u3001\u30b3\u30d4\u30fc\u3057\u3066\u884c\u5217\u3092\u65b0\u305f\u306b\u4f5c\u308b\u3002\r\narr_copy = arr.copy()\r\narr_copy\r\narray([99, 99, 99, 99, 99, 99,  6,  7,  8,  9, 10])\r\narr_copy[:] = 50\r\narr\r\narray([99, 99, 99, 99, 99, 99,  6,  7,  8,  9, 10])\r\n\r\narr_2d = np.array([[5, 10, 15],[20, 25,30],[35,40,45]])\r\narr_2d\r\narray([[ 5, 10, 15],\r\n       [20, 25, 30],\r\n       [35, 40, 45]])\r\narr_2d[1]\r\narray([20, 25, 30])\r\narr_2d[1][0]\r\n20\r\narr_2d[1, 0]\r\n20\r\n\r\narr_2d[0,1:2]\r\narray([[10, 15],\r\n       [25, 30]])\r\n<\/code><\/pre>\n
arr_2d = np.zeros((10,10))\r\narr_2d\r\narray([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]])\r\n\r\narr_length = arr_2d.shape[1]\r\narr_length\r\n10\r\n\r\nfor i in range(arr_length):\r\n    arr_2d[i] = i\r\n\r\narr_2d\r\narray([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\r\n       [ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.],\r\n       [ 2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.],\r\n       [ 3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.,  3.],\r\n       [ 4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.],\r\n       [ 5.,  5.,  5.,  5.,  5.,  5.,  5.,  5.,  5.,  5.],\r\n       [ 6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.],\r\n       [ 7.,  7.,  7.,  7.,  7.,  7.,  7.,  7.,  7.,  7.],\r\n       [ 8.,  8.,  8.,  8.,  8.,  8.,  8.,  8.,  8.,  8.],\r\n       [ 9.,  9.,  9.,  9.,  9.,  9.,  9.,  9.,  9.,  9.]])\r\n\r\narr_2d[[2,4,6,8]]\r\narray([[ 2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.],\r\n       [ 4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.],\r\n       [ 6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.],\r\n       [ 8.,  8.,  8.,  8.,  8.,  8.,  8.,  8.,  8.,  8.]])\r\n\r\narr_2d[[6,4,2,7]]\r\narray([[ 6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.,  6.],\r\n       [ 4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.,  4.],\r\n       [ 2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.,  2.],\r\n       [ 7.,  7.,  7.,  7.,  7.,  7.,  7.,  7.,  7.,  7.]])\r\n<\/code><\/pre>\n
lecture10<\/h2>\n
\u884c\u5217\u306e\u5165\u308c\u66ff\u3048<\/h3>\n
import numpy as np\r\n# 0~8\u30923\u884c3\u5217\u306e\u884c\u5217\u3067\u4f5c\u6210\r\narr = np.arange(9).reshape((3,3))\r\narr\r\narray([[0, 1, 2],\r\n       [3, 4, 5],\r\n       [6, 7, 8]])\r\n# \u8ee2\u7f6e\r\narr.T\r\narray([[0, 3, 6],\r\n       [1, 4, 7],\r\n       [2, 5, 8]])\r\n\r\narr.transpose()\r\narray([[0, 3, 6],\r\n       [1, 4, 7],\r\n       [2, 5, 8]])\r\n\r\n# \u5185\u7a4d\u8a08\u7b97\r\nnp.dot(arr.T,arr)\r\narray([[45, 54, 63],\r\n       [54, 66, 78],\r\n       [63, 78, 93]])\r\n\r\narr3d = np.arange(12).reshape(3,2,2)\r\narr3d\r\narray([[[ 0,  1],\r\n        [ 2,  3]],\r\n\r\n       [[ 4,  5],\r\n        [ 6,  7]],\r\n\r\n       [[ 8,  9],\r\n        [10, 11]]])\r\n<\/code><\/pre>\n
lecture11<\/h2>\n
array\u306e\u8a08\u7b97\u7528\u95a2\u6570<\/h3>\n
import numpy as np\r\narr = np.arange(11)\r\narr\r\narray([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])\r\n# \u30eb\u30fc\u30c8\r\nnp.sqrt(arr)\r\narray([ 0.        ,  1.        ,  1.41421356,  1.73205081,  2.        ,\r\n        2.23606798,  2.44948974,  2.64575131,  2.82842712,  3.        ,\r\n        3.16227766])\r\n# exp\r\nnp.exp(arr)\r\narray([  1.00000000e+00,   2.71828183e+00,   7.38905610e+00,\r\n         2.00855369e+01,   5.45981500e+01,   1.48413159e+02,\r\n         4.03428793e+02,   1.09663316e+03,   2.98095799e+03,\r\n         8.10308393e+03,   2.20264658e+04])\r\n# \u6a19\u6e96\u6b63\u898f\u5206\u5e03\u306b\u5f93\u3046\u4e71\u6570\u767a\u751f\r\nA = np.random.randn(10)\r\nA\r\narray([-0.23874366, -0.29824394, -1.53125686, -1.294902  ,  1.05791343,\r\n        0.27597892,  1.04747699, -0.00482985,  1.04880337, -0.11188837])\r\n\r\nB = np.random.randn(10)\r\nB\r\narray([-0.41609336, -1.58252599, -0.83023645,  0.83826666, -0.1137154 ,\r\n        1.22981003,  0.45385263, -1.1296005 ,  0.80177283,  1.35417939])\r\n\r\nnp.add(A, B)\r\narray([-0.65483702, -1.88076993, -2.36149331, -0.45663534,  0.94419803,\r\n        1.50578895,  1.50132962, -1.13443035,  1.8505762 ,  1.24229102])\r\n\r\n# \u5927\u304d\u3044\u65b9\u3092\u53d6\u5f97\r\nnp.maximum(A, B)\r\narray([-0.23874366, -0.29824394, -0.83023645,  0.83826666,  1.05791343,\r\n        1.22981003,  1.04747699, -0.00482985,  1.04880337,  1.35417939])\r\n\r\n<\/code><\/pre>\n
lecture13<\/h2>\n
\u4ee5\u4e0b\u53c2\u7167\u3002\u3002<\/h3>\n
\/usr\/local\/wk\/udemy_lecture\/lec12_\u30a2\u30ec\u30a4\u3092\u4f7f\u3063\u305f\u30c6\u3099\u30fc\u30bf\u51e6\u7406.ipynb<\/p>\n
lecture39(\u30d3\u30cb\u30f3\u30b0)<\/h2>\n
\u7c21\u5358\u306agroup by \u307f\u305f\u3044\u306a\u3053\u3068\u304c\u3067\u304d\u308b\u3002<\/p>\n
import<\/span> pandas<\/span> as<\/span> pd<\/span>\r\n# \u96c6\u8a08\u5bfe\u8c61\u306e\u30ea\u30b9\u30c8\r\n<\/span>years<\/span> =<\/span> [<\/span>1990<\/span>,<\/span> 1991<\/span>,<\/span> 1992<\/span>,<\/span> 2008<\/span>,<\/span> 2012<\/span>,<\/span> 2015<\/span>,<\/span> 1987<\/span>,<\/span> 1969<\/span>,<\/span> 2013<\/span>,<\/span> 2008<\/span>,<\/span> 1999<\/span>]<\/span>\r\n# \u96c6\u8a08\u5358\u4f4d\u306e\u30ea\u30b9\u30c8\r\n<\/span>decade_bins<\/span> =<\/span> [<\/span>1960<\/span>,<\/span> 1970<\/span>,<\/span> 1980<\/span>,<\/span> 1990<\/span>,<\/span> 2000<\/span>,<\/span> 2010<\/span>,<\/span> 2020<\/span>]<\/span>\r\n# \u96c6\u8a08\u5bfe\u8c61\u3092\u3001\u96c6\u8a08\u5358\u4f4d\u3067\u30ab\u30c3\u30c8\u3002\r\n<\/span>decade_cat<\/span> =<\/span> pd<\/span>.<\/span>cut<\/span>(<\/span>years<\/span>,<\/span>decade_bins<\/span>)<\/span>\r\npd<\/span>.<\/span>value_counts<\/span>(<\/span>decade_cat<\/span>)<\/span>\r\n><\/span>(<\/span>2010<\/span>,<\/span> 2020<\/span>]<\/span>    3<\/span>\r\n><\/span>(<\/span>1990<\/span>,<\/span> 2000<\/span>]<\/span>    3<\/span>\r\n><\/span>(<\/span>1980<\/span>,<\/span> 1990<\/span>]<\/span>    2<\/span>\r\n><\/span>(<\/span>2000<\/span>,<\/span> 2010<\/span>]<\/span>    2<\/span>\r\n><\/span>(<\/span>1960<\/span>,<\/span> 1970<\/span>]<\/span>    1<\/span>\r\n><\/span>dtype<\/span>:<\/span> int64<\/span>\r\n<\/code><\/pre>\n
lecture42(\u30c7\u30fc\u30bf\u3092\u307e\u3068\u3081\u308bGroupBy)<\/h2>\n
pandas\u306eDataFrame\u3067GroupBy\u3092\u5b9f\u884c<\/p>\n
import<\/span> numpy<\/span> as<\/span> np<\/span>\r\nimport<\/span> pandas<\/span> as<\/span> pd<\/span>\r\nfrom<\/span> pandas<\/span> import<\/span> DataFrame<\/span>\r\n# \u30c6\u30b9\u30c8\u7528\u30c7\u30fc\u30bf\u4f5c\u6210\r\n<\/span>dframe<\/span> =<\/span> DataFrame<\/span>({<\/span>'k1'<\/span> :<\/span> [<\/span>'X'<\/span>,<\/span> 'X'<\/span>,<\/span> 'Y'<\/span>,<\/span> 'Y'<\/span>,<\/span> 'Z'<\/span>],<\/span>\r\n                    'k2'<\/span> :<\/span> [<\/span>'alpha'<\/span>,<\/span> 'beta'<\/span>,<\/span> 'alpha'<\/span>,<\/span> 'beta'<\/span>,<\/span> 'alpha'<\/span>],<\/span>\r\n                    'dataset1'<\/span> :<\/span> np<\/span>.<\/span>random<\/span>.<\/span>randn<\/span>(<\/span>5<\/span>),<\/span>\r\n                    'dataset2'<\/span> :<\/span> np<\/span>.<\/span>random<\/span>.<\/span>randn<\/span>(<\/span>5<\/span>)})<\/span>\r\n\r\ndframe<\/span>\r\n><\/span>dataset1<\/span>   dataset2<\/span>    k1<\/span>  k2<\/span>\r\n><\/span>0<\/span>  1.481754<\/span>    0.618496<\/span>    X<\/span>   alpha<\/span>\r\n><\/span>1<\/span>  1.155727<\/span>    0.194219<\/span>    X<\/span>   beta<\/span>\r\n><\/span>2<\/span>  0.926681<\/span>    1.075756<\/span>    Y<\/span>   alpha<\/span>\r\n><\/span>3<\/span>  1.152604<\/span>    0.856419<\/span>    Y<\/span>   beta<\/span>\r\n><\/span>4<\/span>  0.289140<\/span>    0.617901<\/span>    Z<\/span>   alpha<\/span>\r\n\r\n# dataset1\u306b\u5bfe\u3057\u3001k1\u3092\u30ad\u30fc\u306bgroupby\u5b9f\u884c\r\n<\/span>group1<\/span> =<\/span> dframe<\/span>[<\/span>'dataset1'<\/span>].<\/span>groupby<\/span>(<\/span>dframe<\/span>[<\/span>'k1'<\/span>])<\/span>\r\n# \u5e73\u5747\u3092\u53d6\u5f97\r\n<\/span>group1<\/span>.<\/span>mean<\/span>()<\/span>\r\n><\/span>k1<\/span>\r\n><\/span>X<\/span>     1.318740<\/span>\r\n><\/span>Y<\/span>     1.039643<\/span>\r\n><\/span>Z<\/span>     0.289140<\/span>\r\n><\/span>Name<\/span>:<\/span> dataset1<\/span>,<\/span> dtype<\/span>:<\/span> float64<\/span>\r\n\r\n# \u30b7\u30f3\u30d7\u30eb\u306bk1\u3067\u5e73\u5747\u3092\u53d6\u5f97\r\n<\/span>dframe<\/span>.<\/span>groupby<\/span>(<\/span>'k1'<\/span>).<\/span>mean<\/span>()<\/span>\r\n><\/span>   dataset1<\/span>    dataset2<\/span>\r\n><\/span>k1<\/span>     \r\n><\/span>X<\/span>  1.318740<\/span>    0.406357<\/span>\r\n><\/span>Y<\/span>  1.039643<\/span>    0.966087<\/span>\r\n><\/span>Z<\/span>  0.289140<\/span>    0.617901<\/span>\r\n\r\n# \u5c5e\u3059\u308b\u30c7\u30fc\u30bf\u306e\u500b\u6570\u3092\u8abf\u3079\u308b\r\n<\/span>dframe<\/span>.<\/span>groupby<\/span>([<\/span>'k1'<\/span>]).<\/span>size<\/span>()<\/span>\r\n><\/span>k1<\/span>\r\n><\/span>X<\/span>     2<\/span>\r\n><\/span>Y<\/span>     2<\/span>\r\n><\/span>Z<\/span>     1<\/span>\r\n><\/span>dtype<\/span>:<\/span> int64<\/span>\r\n\r\n# groupbty\u3057\u305f\u7d50\u679c\u3092\u305d\u306e\u307e\u307e\u307f\u308b\r\n<\/span>for<\/span> name<\/span>,<\/span> group<\/span> in<\/span> dframe<\/span>.<\/span>groupby<\/span>(<\/span>'k1'<\/span>):<\/span>\r\n    print<\/span>(<\/span>'This is the {} group'<\/span>.<\/span>format<\/span>(<\/span>name<\/span>))<\/span>\r\n    print<\/span>(<\/span>group<\/span>)<\/span>\r\n    print<\/span>(<\/span>'<\/span>\\n<\/span>'<\/span>)<\/span>\r\n\r\n><\/span>This<\/span> is<\/span> the<\/span> X<\/span> group<\/span>\r\n><\/span>   dataset1<\/span>  dataset2<\/span> k1<\/span>     k2<\/span>\r\n><\/span>0<\/span>  1.481754<\/span>  0.618496<\/span>  X<\/span>  alpha<\/span>\r\n><\/span>1<\/span>  1.155727<\/span>  0.194219<\/span>  X<\/span>   beta<\/span>\r\n\r\n><\/span>This<\/span> is<\/span> the<\/span> Y<\/span> group<\/span>\r\n><\/span>   dataset1<\/span>  dataset2<\/span> k1<\/span>     k2<\/span>\r\n><\/span>2<\/span>  0.926681<\/span>  1.075756<\/span>  Y<\/span>  alpha<\/span>\r\n><\/span>3<\/span>  1.152604<\/span>  0.856419<\/span>  Y<\/span>   beta<\/span>\r\n\r\n><\/span>This<\/span> is<\/span> the<\/span> Z<\/span> group<\/span>\r\n><\/span>   dataset1<\/span>  dataset2<\/span> k1<\/span>     k2<\/span>\r\n><\/span>4<\/span>   0.28914<\/span>  0.617901<\/span>  Z<\/span>  alpha<\/span>\r\n<\/code><\/pre>\n
lecture46(\u30af\u30ed\u30b9\u96c6\u8a08\u8868)<\/h2>\n
\u30af\u30ed\u30b9\u96c6\u8a08\u8868\u4f5c\u308b\u3002<\/p>\n
import<\/span> pandas<\/span> as<\/span> pd<\/span>\r\nfrom<\/span> io<\/span> import<\/span> StringIO<\/span>\r\n\r\ndata<\/span> =<\/span> '''Sample  Animal  Intelligence\r\n1 Dog Dumb\r\n2 Dog Dumb\r\n3 Cat Smart\r\n4 Cat Smart\r\n5 Dog Smart\r\n6 Cat Smart'''<\/span>\r\n\r\ndframe<\/span> =<\/span> pd<\/span>.<\/span>read_table<\/span>(<\/span>StringIO<\/span>(<\/span>data<\/span>),<\/span> sep<\/span>=<\/span>'\\s+'<\/span>)<\/span> \r\n# \u30af\u30ed\u30b9\u96c6\u8a08\u5b9f\u884c(animal\u3068Intelligence\u3067\u30af\u30ed\u30b9\u96c6\u8a08)\r\n<\/span>pd<\/span>.<\/span>crosstab<\/span>(<\/span>dframe<\/span>.<\/span>Animal<\/span>,<\/span> dframe<\/span>.<\/span>Intelligence<\/span>,<\/span> margins<\/span> =<\/span> True<\/span>)<\/span>\r\n\r\n><\/span>Intelligence<\/span>   Dumb<\/span>    Smart<\/span>   All<\/span>\r\n><\/span>Animal<\/span>         \r\n><\/span>Cat<\/span>    0<\/span>   3<\/span>   3<\/span>\r\n><\/span>Dog<\/span>    2<\/span>   1<\/span>   3<\/span>\r\n><\/span>All<\/span>    2<\/span>   4<\/span>   6<\/span>\r\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
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