{"id":4009,"date":"2023-07-14T05:03:41","date_gmt":"2023-07-14T05:03:41","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%a1%e1%80%8f%e1%80%b9%e1%80%8f%e1%80%9d%e1%80%ab-%e1%80%9c%e1%80%b1%e1%80%ac%e1%80%b7%e1%80%82%e1%80%9b%e1%80%85%e1%80%ba%e1%80%9e%e1%80%99%e1%80%ba%e1%80%85%e1%80%80%e1%80%b1%e1%80%b8\/"},"modified":"2023-07-14T05:03:41","modified_gmt":"2023-07-14T05:03:41","slug":"%e1%80%a1%e1%80%8f%e1%80%b9%e1%80%8f%e1%80%9d%e1%80%ab-%e1%80%9c%e1%80%b1%e1%80%ac%e1%80%b7%e1%80%82%e1%80%9b%e1%80%85%e1%80%ba%e1%80%9e%e1%80%99%e1%80%ba%e1%80%85%e1%80%80%e1%80%b1%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%a1%e1%80%8f%e1%80%b9%e1%80%8f%e1%80%9d%e1%80%ab-%e1%80%9c%e1%80%b1%e1%80%ac%e1%80%b7%e1%80%82%e1%80%9b%e1%80%85%e1%80%ba%e1%80%9e%e1%80%99%e1%80%ba%e1%80%85%e1%80%80%e1%80%b1%e1%80%b8\/","title":{"rendered":"Seaborn \u1019\u103c\u1031\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u1021\u100f\u1039\u100f\u101d\u102b\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a x-axis \u1014\u103e\u1004\u1037\u103a y-axis \u1021\u1010\u103d\u1000\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a <b>plt.xscale()<\/b> \u1014\u103e\u1004\u1037\u103a <strong>plt.yscale()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on both axes\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">xscale<\/span> ('log')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> ('log')<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c- Seaborn \u1000\u103d\u1000\u103a\u1010\u103d\u1004\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x<\/span> ': [2, 5, 6, 7, 9, 13, 14, 16, 18],\n                   ' <span style=\"color: #ff0000;\">y<\/span> ': [200, 1700, 2300, 2500, 2800, 2900, 3400, 3900, 11000]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    xy\n0 2 200\n1 5 1700\n2 6 2300\n3 7 2500\n4 9 2800\n5 13 2900\n6 14 3400\n7 16 3900\n8 18 11000<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a x-axis \u1014\u103e\u1004\u1037\u103a y-axis \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1010\u103d\u1004\u103a linear scale \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u1037\u103a scatterplot \u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a seaborn \u101b\u103e\u102d <strong>scatterplot()<\/strong> function \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with default axis scales\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32053 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux1.jpg\" alt=\"\" width=\"554\" height=\"404\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">y-\u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u1010\u103d\u1000\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on y-axis\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> ('log')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-32054\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux2.jpg\" alt=\"\u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\" width=\"546\" height=\"414\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u101a\u1001\u102f Y \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u101e\u100a\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u1031\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101c\u102d\u102f\u1001\u103b\u1004\u103a\u101c\u103b\u103e\u1004\u103a x-axis \u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a logarithmic scale \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on both axes\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> (' <span style=\"color: #ff0000;\">log<\/span> ')\nplt. <span style=\"color: #3366ff;\">xscale<\/span> (' <span style=\"color: #ff0000;\">log<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32055 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux3.jpg\" alt=\"\" width=\"545\" height=\"418\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u101a\u1001\u102f axes \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u101e\u100a\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u101e\u1000\u103a\u1006\u102d\u102f\u1004\u103a\u101b\u102c-<\/strong> <a href=\"https:\/\/statorials.org\/my\/\u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f-\u1018\u101a\u103a\u1021\u1001\u103b\u102d\u1014\u103a\u1019\u103e\u102c-\u101e\u102f\u1036\u1038\u1019\u101c\u1032\u104b\/\" target=\"_blank\" rel=\"noopener\">\u1007\u101a\u102c\u1038\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u103b\u102d\u1014\u103a\u1010\u103d\u1004\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1004\u1037\u103a\u101e\u1014\u100a\u103a\u1038\u104b<\/a><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Seaborn \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u1021\u101c\u102f\u1015\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/my\/\u1021\u100f\u1039\u100f\u101d\u102b\u1001\u1031\u102b\u1004\u103a\u1038\u1005\u1009\u103a\/\" target=\"_blank\" rel=\"noopener\">Seaborn Plots \u1010\u103d\u1004\u103a \u1001\u1031\u102b\u1004\u103a\u1038\u1005\u1009\u103a\u1010\u1005\u103a\u1001\u102f\u1011\u100a\u1037\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/seaborn-rotation-axis-\u1010\u1036\u1006\u102d\u1015\u103a\u1019\u103b\u102c\u1038\/\" target=\"_blank\" rel=\"noopener\">Seaborn \u1019\u103c\u1031\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1010\u1036\u1006\u102d\u1015\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u103e\u100a\u1037\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1021\u100f\u1039\u100f\u101d\u102b\u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1010\u1036\u1006\u102d\u1015\u103a\u1019\u103b\u102c\u1038\/\" target=\"_blank\" rel=\"noopener\">Seaborn \u1000\u103d\u1000\u103a\u1010\u103d\u1004\u103a \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1021\u100f\u1039\u100f\u101d\u102b\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a x-axis \u1014\u103e\u1004\u1037\u103a y-axis \u1021\u1010\u103d\u1000\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a plt.xscale() \u1014\u103e\u1004\u1037\u103a plt.yscale() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a- import matplotlib. pyplot as plt import seaborn as sns #create scatterplot with log scale on both axes sns. scatterplot (data=df, x=&#8217; x &#8216;, y=&#8217; y &#8216;) plt. xscale (&#8216;log&#8217;) plt. yscale (&#8216;log&#8217;) \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c- Seaborn \u1000\u103d\u1000\u103a\u1010\u103d\u1004\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Seaborn \u1019\u103c\u1031\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038 - Statology<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a Python \u101b\u103e\u102d 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