- \n
- Matplotlib.pyplot.semilogx()<\/a> \u2013 x-axis \u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a logarithmic scaling \u1016\u103c\u1004\u1037\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/span><\/li>\n
- Matplotlib.pyplot.semlogy()<\/a> \u2013 y-\u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a logarithmic scaling \u1016\u103c\u1004\u1037\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/span><\/li>\n
- Matplotlib.pyplot.loglog()<\/a> \u2013 axes \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1010\u103d\u1004\u103a logarithmic scaling \u1016\u103c\u1004\u1037\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/span><\/li>\n<\/ul>\n
\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
\u1025\u1015\u1019\u102c 1- X \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<\/strong><\/span><\/h3>\n
\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1000\u103a \u1019\u103b\u1009\u103a\u1038\u1007\u101a\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span> <\/p>\n
import<\/span> matplotlib.pyplot as<\/span> plt\n\n#create data\nx = [1, 8, 190, 1400, 6500]<\/span><\/span>\ny = [1, 2, 3, 4, 5]<\/span>\n\n#create line chart of data<\/span>\nplt. plot<\/span> (x,y)\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echelle-log3.png\")
<\/p>\n\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a x-axis \u1000\u102d\u102f \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1014\u103a .semilogx()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\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
plt. semilogx<\/span> ()<\/strong> <\/pre>\n![\"Matplotlib](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echelle-log4.png\")
<\/p>\ny-axis \u101e\u100a\u103a \u1021\u1010\u102d\u1021\u1000\u103b\u1010\u1030\u100a\u102e\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104a \u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a x-axis \u101e\u100a\u103a \u101a\u1001\u102f logarithmic \u1005\u1000\u1031\u1038\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u101b\u103e\u102d\u1014\u1031\u101e\u100a\u103a\u104b<\/span><\/p>\n
\u1025\u1015\u1019\u102c 2- 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<\/strong><\/span><\/h3>\n
\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1000\u103a \u1019\u103b\u1009\u103a\u1038\u1007\u101a\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span> <\/p>\n
import<\/span> matplotlib.pyplot as<\/span> plt\n\n#create data<\/span>\nx = [1, 2, 3, 4, 5]\ny = [1, 8, 190, 1400, 6500]\n\n#create line chart of data<\/span>\nplt. plot<\/span> (x,y)\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echelle-log1.png\")
<\/p>\ny \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1000\u102d\u102f \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1021\u1016\u103c\u1005\u103a \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1014\u103a .semlogy()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span> <\/p>\n
plt. semilogy<\/span> ()<\/strong> <\/pre>\n![\"y](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echelle-log2.png\")
<\/p>\nx-axis \u101e\u100a\u103a \u1021\u1010\u102d\u1021\u1000\u103b\u1010\u1030\u100a\u102e\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u104a \u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a y-axis \u101e\u100a\u103a \u101a\u1001\u102f logarithmic \u1005\u1000\u1031\u1038\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u101b\u103e\u102d\u1014\u1031\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
\u1025\u1015\u1019\u102c 3- \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1021\u1010\u103d\u1000\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038<\/strong><\/span><\/h3>\n
\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1000\u103a \u1019\u103b\u1009\u103a\u1038\u1007\u101a\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span> <\/p>\n
import<\/span> matplotlib.pyplot as<\/span> plt\n\n#createdata<\/span>\nx = [10, 200, 3000, 40000, 500000]\ny = [30, 400, 5000, 60000, 750000]\n\n#create line chart of data<\/span>\nplt. plot<\/span> (x,y)\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echelle-log5.png\")
<\/p>\ny \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1000\u102d\u102f \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1021\u1016\u103c\u1005\u103a \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a .loglog()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span> <\/p>\n
plt. loglog<\/span> (x,y)<\/strong> <\/pre>\n![\"Matplotlib](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echelle-log6.png\")
<\/p>\naxes \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u101a\u1001\u102f logarithmic \u1005\u1000\u1031\u1038\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u101b\u103e\u102d\u1014\u1031\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
\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><\/h3>\n
Matplotlib \u1000\u103d\u1000\u103a\u1010\u103d\u1004\u103a \u1016\u1031\u102c\u1004\u1037\u103a\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a>
Matplotlib \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1019\u103e tick \u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f \u101e\u1004\u103a\u101e\u100a\u103a axes \u1010\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1015\u102f\u1006\u102d\u1014\u103a\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a \u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1019\u103b\u102c\u1038 \u1016\u103c\u1004\u1037\u103a Matplotlib \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a Matplotlib \u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1015\u1031\u1038\u101e\u100a\u103a- Matplotlib.pyplot.semilogx() \u2013 x-axis \u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a logarithmic scaling \u1016\u103c\u1004\u1037\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b Matplotlib.pyplot.semlogy() \u2013 y-\u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a logarithmic scaling \u1016\u103c\u1004\u1037\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b Matplotlib.pyplot.loglog() \u2013 axes \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1010\u103d\u1004\u103a logarithmic scaling \u1016\u103c\u1004\u1037\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- X \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 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1000\u103a \u1019\u103b\u1009\u103a\u1038\u1007\u101a\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b […]<\/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":"\n
\u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a Matplotlib \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038 - Statorials<\/title>\n<meta name=\"description\" content=\"\u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a Matplotlib \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038 \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/\u1019\u103e\u1010\u103a\u1010\u1019\u103a\u1038\u1000\u103d\u1000\u103a-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a Matplotlib \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u101c\u1031\u102c\u1037\u1002\u101b\u1005\u103a\u101e\u1019\u103a\u1005\u1000\u1031\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a Matplotlib \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038 \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/\u1019\u103e\u1010\u103a\u1010\u1019\u103a\u1038\u1000\u103d\u1000\u103a-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T01:41:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/echelle-log3.png\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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\u1015\u102d\u102f\u101e\u102d\u1010\u101a\u103a\u104b","sameAs":["https:\/\/statorials.org\/my"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/993"}],"collection":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/comments?post=993"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/993\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/media?parent=993"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/categories?post=993"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/tags?post=993"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} - Matplotlib.pyplot.semlogy()<\/a> \u2013 y-\u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a logarithmic scaling \u1016\u103c\u1004\u1037\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/span><\/li>\n