{"id":2370,"date":"2023-07-22T13:44:14","date_gmt":"2023-07-22T13:44:14","guid":{"rendered":"https:\/\/statorials.org\/ru\/matplotlib-%d0%b4%d0%b2%d0%b5-%d0%be%d1%81%d0%b8-y\/"},"modified":"2023-07-22T13:44:14","modified_gmt":"2023-07-22T13:44:14","slug":"matplotlib-%d0%b4%d0%b2%d0%b5-%d0%be%d1%81%d0%b8-y","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/matplotlib-%d0%b4%d0%b2%d0%b5-%d0%be%d1%81%d0%b8-y\/","title":{"rendered":"\u041a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a matplotlib \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 y"},"content":{"rendered":"

<\/p>\n

\n

\u0421\u0430\u043c\u044b\u0439 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a Matplotlib \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 Y \u2014 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e Twinx()<\/a> .<\/span><\/p>\n

\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n

\u041f\u0440\u0438\u043c\u0435\u0440. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u0433\u0440\u0430\u0444\u0438\u043a Matplotlib \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 Y.<\/strong><\/span><\/h3>\n

\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0434\u0432\u0430 \u043a\u0430\u0434\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 panda:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrames\ndf1 = pd. DataFrame<\/span> ({' year<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                    ' sales<\/span> ': [14, 16, 19, 22, 24, 25, 24, 24, 27, 30]})\n\ndf2 = pd. DataFrame<\/span> ({' year<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                    ' leads<\/span> ': [4, 4, 4, 5, 4, 5, 7, 8, 5, 3]})<\/span><\/span><\/strong><\/pre>\n
 \u041e\u0431\u0430 DataFrame \u0438\u043c\u0435\u044e\u0442 \u043e\u0431\u0449\u0443\u044e \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0443\u044e \u00ab\u0433\u043e\u0434\u00bb, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d\u0435 \u043e\u0442 1 \u0434\u043e 10, \u043d\u043e \u043f\u0435\u0440\u0432\u044b\u0439 DataFrame \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442 \u043e\u0431\u0449\u0438\u0439 \u043e\u0431\u044a\u0435\u043c \u043f\u0440\u043e\u0434\u0430\u0436 \u043a\u0430\u0436\u0434\u044b\u0439 \u0433\u043e\u0434, \u0430 \u0432\u0442\u043e\u0440\u043e\u0439 DataFrame \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442 \u043e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u043a\u0430\u0436\u0434\u044b\u0439 \u0433\u043e\u0434.<\/span><\/p>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0433\u0440\u0430\u0444\u0438\u043a\u0430 Matplotlib, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442 \u043f\u0440\u043e\u0434\u0430\u0436\u0438 \u0438 \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u043d\u0430 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0435 \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 Y:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define colors to use\n<\/span>col1 = ' steelblue<\/span> '\ncol2 = ' red<\/span> '\n\n#define subplots\n<\/span>fig,ax = plt. subplots<\/span> ()\n\n#add first line to plot\n<\/span>ax. plot<\/span> (df1. year<\/span> , df1. sales<\/span> , color=col1)\n\n#add x-axis label\n<\/span>ax. set_xlabel<\/span> (' Year<\/span> ', fontsize= 14<\/span> )\n\n#add y-axis label\n<\/span>ax. set_ylabel<\/span> (' Sales<\/span> ', color=col1, fontsize= 16<\/span> )\n\n#define second y-axis that shares x-axis with current plot\n<\/span>ax2 = ax. twinx<\/span> ()\n\n#add second line to plot\n<\/span>ax2. plot<\/span> (df2. year<\/span> , df2. leads<\/span> , color=col2)\n\n#add second y-axis label\n<\/span>ax2. set_ylabel<\/span> (' Leads<\/span> ', color=col2, fontsize= 16<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
\"Matplotlib<\/p>\n
 \u041e\u0441\u044c Y \u0432 \u043b\u0435\u0432\u043e\u0439 \u0447\u0430\u0441\u0442\u0438 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043e\u0431\u0449\u0438\u0439 \u043e\u0431\u044a\u0435\u043c \u043f\u0440\u043e\u0434\u0430\u0436 \u0437\u0430 \u0433\u043e\u0434, \u0430 \u043e\u0441\u044c Y \u0432 \u043f\u0440\u0430\u0432\u043e\u0439 \u0447\u0430\u0441\u0442\u0438 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u0437\u0430 \u0433\u043e\u0434.<\/span><\/p>\n
 \u0421\u0438\u043d\u044f\u044f \u043b\u0438\u043d\u0438\u044f \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u043e\u0431\u0449\u0438\u0439 \u043e\u0431\u044a\u0435\u043c \u043f\u0440\u043e\u0434\u0430\u0436 \u0437\u0430 \u0433\u043e\u0434, \u0430 \u043a\u0440\u0430\u0441\u043d\u0430\u044f \u043b\u0438\u043d\u0438\u044f \u2014 \u043e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u0437\u0430 \u0433\u043e\u0434.<\/span><\/p>\n
 \u041d\u0435 \u0441\u0442\u0435\u0441\u043d\u044f\u0439\u0442\u0435\u0441\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u044b \u043c\u0430\u0440\u043a\u0435\u0440\u0430<\/strong> \u0438 \u0448\u0438\u0440\u0438\u043d\u044b \u043b\u0438\u043d\u0438\u0438<\/strong> , \u0447\u0442\u043e\u0431\u044b \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0432\u043d\u0435\u0448\u043d\u0438\u0439 \u0432\u0438\u0434 \u043b\u0438\u043d\u0438\u0439 \u043d\u0430 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0435:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define colors to use\n<\/span>col1 = ' steelblue<\/span> '\ncol2 = ' red<\/span> '\n\n#define subplots\n<\/span>fig,ax = plt. subplots<\/span> ()\n\n#add first line to plot\n<\/span>ax. plot<\/span> (df1. year<\/span> , df1. sales<\/span> , color=col1, marker=' o<\/span> ', linewidth= 3<\/span> )\n\n#add x-axis label\n<\/span>ax. set_xlabel<\/span> (' Year<\/span> ', fontsize= 14<\/span> )\n\n#add y-axis label\n<\/span>ax. set_ylabel<\/span> (' Sales<\/span> ', color=col1, fontsize= 16<\/span> )\n\n#define second y-axis that shares x-axis with current plot\n<\/span>ax2 = ax. twinx<\/span> ()\n\n#add second line to plot\n<\/span>ax2. plot<\/span> (df2. year<\/span> , df2. leads<\/span> , color=col2, marker=' o<\/span> ', linewidth= 3<\/span> )\n\n#add second y-axis label\n<\/span>ax2. set_ylabel<\/span> (' Leads<\/span> ', color=col2, fontsize= 16<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043e\u0431\u0435 \u043b\u0438\u043d\u0438\u0438 \u0442\u0435\u043f\u0435\u0440\u044c \u0448\u0438\u0440\u0435 \u0438 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442 \u043c\u0430\u0440\u043a\u0435\u0440\u044b \u00abo\u00bb \u0434\u043b\u044f \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0445 \u0442\u043e\u0447\u0435\u043a \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n
 \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0432 Matplotlib:<\/span><\/p>\n
 \u041a\u0430\u043a \u043d\u0430\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0438 \u0432 Matplotlib<\/a>
 \u041a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d\u044b \u043e\u0441\u0435\u0439 \u0432 Matplotlib<\/a>
 \u041a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043e\u0441\u0438 X \u0432 Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0421\u0430\u043c\u044b\u0439 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a Matplotlib \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 Y \u2014 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e Twinx() . \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435. \u041f\u0440\u0438\u043c\u0435\u0440. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u0433\u0440\u0430\u0444\u0438\u043a Matplotlib \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 Y. \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0434\u0432\u0430 \u043a\u0430\u0434\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 panda: import pandas as pd #createDataFrames df1 = pd. DataFrame ({‘ year ‘: [1, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2370","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a Matplotlib \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 Y \u2014 Statorials<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0433\u0440\u0430\u0444\u0438\u043a \u0432 Matplotlib \u043d\u0430 Python \u0441 \u0434\u0432\u0443\u043c\u044f \u043e\u0441\u044f\u043c\u0438 Y, \u0441 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