{"id":1658,"date":"2023-07-25T11:56:30","date_gmt":"2023-07-25T11:56:30","guid":{"rendered":"https:\/\/statorials.org\/my\/matplotlib-%e1%80%a1%e1%80%81%e1%80%bb%e1%80%ad%e1%80%94%e1%80%ba%e1%80%85%e1%80%ae%e1%80%b8%e1%80%9b%e1%80%ae%e1%80%b8\/"},"modified":"2023-07-25T11:56:30","modified_gmt":"2023-07-25T11:56:30","slug":"matplotlib-%e1%80%a1%e1%80%81%e1%80%bb%e1%80%ad%e1%80%94%e1%80%ba%e1%80%85%e1%80%ae%e1%80%b8%e1%80%9b%e1%80%ae%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/matplotlib-%e1%80%a1%e1%80%81%e1%80%bb%e1%80%ad%e1%80%94%e1%80%ba%e1%80%85%e1%80%ae%e1%80%b8%e1%80%9b%e1%80%ae%e1%80%b8\/","title":{"rendered":"Matplotlib \u1010\u103d\u1004\u103a time series \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1006\u103d\u1032\u1019\u101c\u1032 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)"},"content":{"rendered":"

<\/p>\n

\n

Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1006\u103d\u1032\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\nplt. plot<\/span> (df. x<\/span> , df. y<\/span> )\n<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a variable x \u101e\u100a\u103a datetime.datetime()<\/strong> class \u1019\u103e \u1016\u103c\u1005\u103a\u101e\u100a\u103a\u101f\u102f \u101a\u1030\u1006\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Python \u1010\u103d\u1004\u103a time series data \u1000\u102d\u102f\u1006\u103d\u1032\u101b\u1014\u103a \u1024 syntax \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f\u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 1- Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1005\u102e\u1005\u1009\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1005\u102e\u1038\u1015\u103d\u102c\u1038\u101b\u1031\u1038\u101c\u102f\u1015\u103a\u1004\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e 12 \u101b\u1000\u103a\u1006\u1000\u103a\u1010\u102d\u102f\u1000\u103a\u101b\u1031\u102c\u1004\u103a\u1038\u1001\u103b\u1019\u103e\u102f\u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1006\u103d\u1032\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> datetime\nimport<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#define data\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\nfor<\/span> i in<\/span> range(12)]),\n                   ' sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\n#plot time series\n<\/span>plt. plot<\/span> (df. date<\/span> , df. sales<\/span> , linewidth= 3<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 X-axis \u101e\u100a\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u102d\u102f\u1015\u103c\u101e\u1015\u103c\u102e\u1038 Y-axis \u101e\u100a\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u101b\u1031\u102c\u1004\u103a\u1038\u1001\u103b\u1019\u103e\u102f\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- \u1001\u1031\u102b\u1004\u103a\u1038\u1005\u1009\u103a\u1014\u103e\u1004\u1037\u103a \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1007\u102c\u1010\u103a\u1000\u103d\u1000\u103a\u101e\u102d\u102f\u1037 \u1001\u1031\u102b\u1004\u103a\u1038\u1005\u1009\u103a\u1014\u103e\u1004\u1037\u103a \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1011\u100a\u1037\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> datetime\nimport<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#define data\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\nfor<\/span> i in<\/span> range(12)]),\n                   ' sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\n#plot time series\n<\/span>plt. plot<\/span> (df. date<\/span> , df. sales<\/span> , linewidth= 3<\/span> )\n\n#add title and axis labels\n<\/span>plt. title<\/span> (' Sales by Date<\/span> ')\nplt. xlabel<\/span> (' Date<\/span> ')\nplt. ylabel<\/span> (' Sales<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \u1025\u1015\u1019\u102c 3- Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1015\u102f\u1036\u1016\u1031\u102c\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a Matplotlib \u101b\u103e\u102d \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1006\u103d\u1032\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nimport<\/span> datetime\nimport<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#define data\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\n                                     for<\/span> i in<\/span> range(12)]),\n                   ' sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\ndf2 = pd. DataFrame<\/span> ({' date<\/span> ': np. array<\/span> ([datetime. datetime<\/span> (2020, 1, i+1)\n                                      for<\/span> i in<\/span> range(12)]),\n                   ' returns<\/span> ': [1, 1, 2, 3, 3, 3, 4, 3, 2, 3, 4, 7]})\n\n#plot both time series\n<\/span>plt. plot<\/span> ( df.date<\/span> , df.sales<\/span> , label=' sales<\/span> ', linewidth= 3<\/span> )\nplt. plot<\/span> ( df2.date<\/span> , df2.returns<\/span> , color=' red<\/span> ', label=' returns<\/span> ', linewidth= 3<\/span> )\n\n#add title and axis labels\n<\/span>plt. title<\/span> (' Sales by Date<\/span> ')\nplt. xlabel<\/span> (' Date<\/span> ')\nplt. ylabel<\/span> (' Sales<\/span> ')\n\n#add legend<\/span>\nplt. legend<\/span> ()\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/strong><\/span> <\/pre>\n
\"Matplotlib<\/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- \u1021\u102f\u1015\u103a\u1005\u102f\u101c\u102d\u102f\u1000\u103a \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038 \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 Matplotlib- Stacked Bar Charts \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1006\u103d\u1032\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b import matplotlib. pyplot as plt plt. plot (df. x , df. y ) \u104e\u1004\u103a\u1038\u101e\u100a\u103a variable x \u101e\u100a\u103a datetime.datetime() class \u1019\u103e \u1016\u103c\u1005\u103a\u101e\u100a\u103a\u101f\u102f \u101a\u1030\u1006\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Python \u1010\u103d\u1004\u103a time series data \u1000\u102d\u102f\u1006\u103d\u1032\u101b\u1014\u103a \u1024 syntax \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f\u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1005\u102e\u1005\u1009\u103a\u1015\u102b\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1005\u102e\u1038\u1015\u103d\u102c\u1038\u101b\u1031\u1038\u101c\u102f\u1015\u103a\u1004\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e 12 \u101b\u1000\u103a\u1006\u1000\u103a\u1010\u102d\u102f\u1000\u103a\u101b\u1031\u102c\u1004\u103a\u1038\u1001\u103b\u1019\u103e\u102f\u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1006\u103d\u1032\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- import matplotlib. pyplot as plt […]<\/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":"\nMatplotlib \u1010\u103d\u1004\u103a Time Series \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1006\u103d\u1032\u1019\u101c\u1032 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a Matplotlib \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1006\u103d\u1032\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\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\/matplotlib-\u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matplotlib \u1010\u103d\u1004\u103a Time Series \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1006\u103d\u1032\u1019\u101c\u1032 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)\" \/>\n<meta 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