{"id":1596,"date":"2023-07-25T17:15:30","date_gmt":"2023-07-25T17:15:30","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e6%ad%a3%e8%a6%8f%e5%88%86%e5%b8%83%e3%82%92%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%99%e3%82%8bpython\/"},"modified":"2023-07-25T17:15:30","modified_gmt":"2023-07-25T17:15:30","slug":"%e6%ad%a3%e8%a6%8f%e5%88%86%e5%b8%83%e3%82%92%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%99%e3%82%8bpython","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e6%ad%a3%e8%a6%8f%e5%88%86%e5%b8%83%e3%82%92%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88%e3%81%99%e3%82%8bpython\/","title":{"rendered":"Python \u3067\u6b63\u898f\u5206\u5e03\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d"},"content":{"rendered":"

<\/p>\n

\n

Python \u3067\u6b63\u898f\u5206\u5e03<\/a>\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

 #x-axis ranges from -3 and 3 with .001 steps\n<\/span>x = np. arange<\/span> (-3, 3, 0.001)\n\n#plot normal distribution with mean 0 and standard deviation 1\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1))\n<\/strong><\/pre>\n
 x<\/strong>\u914d\u5217\u306f x \u8ef8\u306e\u7bc4\u56f2\u3092\u5b9a\u7fa9\u3057\u3001 plt.plot() \u306f<\/strong>\u6307\u5b9a\u3055\u308c\u305f\u5e73\u5747\u3068\u6a19\u6e96\u504f\u5dee\u3092\u6301\u3064\u6b63\u898f\u5206\u5e03\u306e\u66f2\u7dda\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u6b21\u306e\u4f8b\u306f\u3001\u3053\u308c\u3089\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 1: \u5358\u4e00\u306e\u6b63\u898f\u5206\u5e03\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5e73\u5747 0\u3001\u6a19\u6e96\u504f\u5dee 1 \u306e\u5358\u4e00\u306e\u6b63\u898f\u5206\u5e03\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> norm\n\n#x-axis ranges from -3 and 3 with .001 steps\n<\/span>x = np. arange<\/span> (-3, 3, 0.001)\n\n#plot normal distribution with mean 0 and standard deviation 1\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1))<\/strong> <\/pre>\n
\"Python<\/p>\n
\u30b0\u30e9\u30d5\u306e\u7dda\u306e\u8272\u3068\u5e45\u3092\u5909\u66f4\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n
 plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1), color=' red<\/span> ', linewidth= 3<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
\u4f8b 2: \u8907\u6570\u306e\u6b63\u898f\u5206\u5e03\u306e\u30d7\u30ed\u30c3\u30c8<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u7570\u306a\u308b\u5e73\u5747\u3068\u6a19\u6e96\u504f\u5dee\u3092\u4f7f\u7528\u3057\u3066\u8907\u6570\u306e\u6b63\u898f\u5206\u5e03\u66f2\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> norm\n\n#x-axis ranges from -5 and 5 with .001 steps\n<\/span>x = np. arange<\/span> (-5, 5, 0.001)\n\n#define multiple normal distributions\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1), label=' \u03bc: 0, \u03c3: 1<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1.5), label=' \u03bc:0, \u03c3: 1.5<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 2), label=' \u03bc:0, \u03c3: 2<\/span> ')\n\n#add legend to plot\n<\/span>plt. legend<\/span> ()<\/strong> <\/pre>\n
\"\"<\/p>\n
\u81ea\u7531\u306b\u7dda\u306e\u8272\u3092\u5909\u66f4\u3057\u3001\u30bf\u30a4\u30c8\u30eb\u3068\u8ef8\u306e\u30e9\u30d9\u30eb\u3092\u8ffd\u52a0\u3057\u3066\u30b0\u30e9\u30d5\u3092\u5b8c\u6210\u3055\u305b\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> norm\n\n#x-axis ranges from -5 and 5 with .001 steps\n<\/span>x = np. arange<\/span> (-5, 5, 0.001)\n\n#define multiple normal distributions\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1), label=' \u03bc: 0, \u03c3: 1<\/span> ', color=' gold<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1.5), label=' \u03bc:0, \u03c3: 1.5<\/span> ', color=' red<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 2), label=' \u03bc:0, \u03c3: 2<\/span> ', color=' pink<\/span> ')\n\n#add legend to plot\n<\/span>plt. legend<\/span> (title=' Parameters<\/span> ')\n\n#add axes labels and a title\n<\/span>plt. ylabel<\/span> (' Density<\/span> ')\nplt. xlabel<\/span> (' x<\/span> ')\nplt. title<\/span> (' Normal Distributions<\/span> ', fontsize= 14<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
Python \u3067\u6b63\u898f\u5206\u5e03\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002 #x-axis ranges from -3 and 3 with .001 steps x = np. arange (-3, 3, 0.001)  […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-1596","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPython \u3067\u6b63\u898f\u5206\u5e03\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5: \u4f8b\u4ed8\u304d<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u6b63\u898f\u5206\u5e03\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" 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