{"id":2271,"date":"2023-07-23T00:05:40","date_gmt":"2023-07-23T00:05:40","guid":{"rendered":"https:\/\/statorials.org\/my\/matplotlib-python-%e1%80%86%e1%80%ae%e1%80%99%e1%80%ae%e1%80%b8%e1%80%81%e1%80%af%e1%80%b6%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8\/"},"modified":"2023-07-23T00:05:40","modified_gmt":"2023-07-23T00:05:40","slug":"matplotlib-python-%e1%80%86%e1%80%ae%e1%80%99%e1%80%ae%e1%80%b8%e1%80%81%e1%80%af%e1%80%b6%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/matplotlib-python-%e1%80%86%e1%80%ae%e1%80%99%e1%80%ae%e1%80%b8%e1%80%81%e1%80%af%e1%80%b6%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8\/","title":{"rendered":"Python \u1010\u103d\u1004\u103a matplotlib \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d candlestick chart \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

\u1006\u102e\u1019\u102e\u1038\u1001\u102f\u1036\u1007\u101a\u102c\u1038<\/a> \u101e\u100a\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1014\u103e\u1004\u1037\u103a\u1021\u1019\u103b\u103e \u1004\u103d\u1031\u101b\u1031\u1038\u1000\u103c\u1031\u1038\u101b\u1031\u1038\u104f \u1005\u103b\u1031\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u101c\u103e\u102f\u1015\u103a\u101b\u103e\u102c\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1018\u100f\u1039\u100d\u102c\u101b\u1031\u1038\u1007\u101a\u102c\u1038 \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u101e\u100a\u103a Python \u101b\u103e\u102d Matplotlib<\/a> \u1021\u1019\u103c\u1004\u103a\u1021\u102c\u101b\u102f\u1036\u1015\u102f\u1036\u1016\u1031\u102c\u103a\u1001\u103c\u1004\u103a\u1038\u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1006\u102e\u1019\u102e\u1038\u1001\u102f\u1036\u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c- Python \u1010\u103d\u1004\u103a Candlestick Chart \u1016\u1014\u103a\u1010\u102e\u1038\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n

\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a 8 \u101b\u1000\u103a\u1010\u102c\u1000\u102c\u101c\u1021\u1010\u103d\u1004\u103a\u1038 \u1021\u1001\u103b\u102d\u102f\u1037\u101e\u1031\u102c\u1005\u1010\u1031\u102c\u1037\u101b\u103e\u101a\u103a\u101a\u102c\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u1016\u103d\u1004\u1037\u103a\u104a \u1021\u1015\u102d\u1010\u103a\u104a \u1021\u1019\u103c\u1004\u1037\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1014\u102d\u1019\u1037\u103a\u1005\u103b\u1031\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\nprices = pd. DataFrame<\/span> ({' open<\/span> ': [25, 22, 21, 19, 23, 21, 25, 29],\n                       ' close<\/span> ': [24, 20, 17, 23, 22, 25, 29, 31],\n                       ' high<\/span> ': [28, 27, 29, 25, 24, 26, 31, 37],\n                       ' low<\/span> ': [22, 16, 14, 17, 19, 18, 22, 26]},\n                       index=pd. date_range<\/span> (\" 2021-01-01<\/span> \", periods=8, freq=\" d<\/span> \"))\n\n#display DataFrame\n<\/span>print<\/span> (prices)\n\n            open close high low\n2021-01-01 25 24 28 22\n2021-01-02 22 20 27 16\n2021-01-03 21 17 29 14\n2021-01-04 19 23 25 17\n2021-01-05 23 22 24 19\n2021-01-06 21 25 26 18\n2021-01-07 25 29 31 22\n2021-01-08 29 31 37 26\n<\/span><\/span><\/strong><\/pre>\n
 \u1024 8 \u101b\u1000\u103a\u1010\u102c\u1000\u102c\u101c\u1021\u1010\u103d\u1004\u103a\u1038 \u1024\u1005\u1010\u1031\u102c\u1037\u104f\u1005\u103b\u1031\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u101c\u103e\u102f\u1015\u103a\u101b\u103e\u102c\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1019\u103c\u1004\u103a\u101a\u1031\u102c\u1004\u103a\u101b\u1014\u103a candlestick \u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\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\u1015\u102b\u101e\u100a\u103a\u104b<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create figure\n<\/span>plt. figure<\/span> ()\n\n#define width of candlestick elements\n<\/span>width = .4\nwidth2 = .05\n\n#define up and down prices\n<\/span>up = prices[prices. close<\/span> >=prices. open<\/span> ]\ndown = prices[prices. close<\/span> <prices. open<\/span> ]\n\n#define colors to use\n<\/span>col1 = ' green<\/span> '\ncol2 = ' red<\/span> '\n\n#plot up prices\n<\/span>plt. bar<\/span> (up. index<\/span> , up. close<\/span> -up. open<\/span> , width, bottom=up. open<\/span> , color=col1)\nplt. bar<\/span> (up. index<\/span> ,up. high<\/span> -up. close<\/span> ,width2,bottom=up. close<\/span> ,color=col1)\nplt. bar<\/span> (up. index<\/span> , up. low<\/span> -up. open<\/span> , width2, bottom=up. open<\/span> , color=col1)\n\n#plot down prices\n<\/span>plt. bar<\/span> (down. index<\/span> , down. close<\/span> -down. open<\/span> , width, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> , down. high<\/span> -down. open<\/span> , width2, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> ,down. low<\/span> -down. close<\/span> ,width2,bottom=down. close<\/span> ,color=col2)\n\n#rotate x-axis tick labels\n<\/span>plt. xticks<\/span> (rotation= 45<\/span> , ha=' right<\/span> ')\n\n#display candlestick chart\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"Python<\/p>\n
 \u1006\u102e\u1019\u102e\u1038\u1001\u102f\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101e\u100a\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c\u1014\u1031\u1037\u1010\u103d\u1004\u103a \u101c\u102f\u1036\u1001\u103c\u102f\u1036\u101b\u1031\u1038\u104f\u1005\u103b\u1031\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1019\u103e\u102f\u1000\u102d\u102f \u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\u101e\u100a\u103a\u104b \u1006\u102e\u1019\u102e\u1038\u1001\u102f\u1036\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u101e\u100a\u103a \u101a\u1001\u1004\u103a\u1014\u1031\u1037\u1014\u103e\u1004\u1037\u103a\u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 \u1005\u103b\u1031\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u1015\u102d\u102f\u1019\u103c\u1004\u1037\u103a\u1001\u103c\u1004\u103a\u1038 (\u1005\u102d\u1019\u103a\u1038) \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1031\u102c\u1000\u103a (\u1021\u1014\u102e\u101b\u1031\u102c\u1004\u103a) \u101b\u103e\u102d\u1019\u101b\u103e\u102d\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1019\u102e\u1038\u1001\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u104f \u1021\u1000\u103b\u101a\u103a\u1014\u103e\u1004\u1037\u103a \u1007\u101a\u102c\u1038\u1000\u103d\u1000\u103a\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101c\u102d\u102f\u101b\u103e\u102d\u101e\u100a\u1037\u103a\u1021\u1010\u102d\u102f\u1004\u103a\u1038 \u1015\u1031\u102b\u103a\u101c\u102c\u1005\u1031\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u1037\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u103d\u1010\u103a\u101c\u1015\u103a\u1005\u103d\u102c \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1016\u101a\u1031\u102c\u1004\u103a\u1038\u1010\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u102d\u102f\u1019\u102d\u102f\u1015\u102b\u1038\u101c\u103d\u103e\u102c\u1005\u1031\u1015\u103c\u102e\u1038 “ \u1019\u103c\u1004\u1037\u103a”  \u1014\u103e\u1004\u1037\u103a “ \u1014\u102d\u1019\u1037\u103a”  \u1014\u1031\u1037\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1021\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\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
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create figure\nplt. figure<\/span> ()\n\n#define width of candlestick elements\n<\/span>width = .2\nwidth2 = .02\n\n#define up and down prices\n<\/span>up = prices[prices. close<\/span> >=prices. open<\/span> ]\ndown = prices[prices. close<\/span> <prices. open<\/span> ]\n\n#define colors to use\n<\/span>col1 = ' black<\/span> '\ncol2 = ' steelblue<\/span> '\n\n#plot up prices\n<\/span>plt. bar<\/span> (up. index<\/span> , up. close<\/span> -up. open<\/span> , width, bottom=up. open<\/span> , color=col1)\nplt. bar<\/span> (up. index<\/span> ,up. high<\/span> -up. close<\/span> ,width2,bottom=up. close<\/span> ,color=col1)\nplt. bar<\/span> (up. index<\/span> , up. low<\/span> -up. open<\/span> , width2, bottom=up. open<\/span> , color=col1)\n\n#plot down prices\n<\/span>plt. bar<\/span> (down. index<\/span> , down. close<\/span> -down. open<\/span> , width, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> , down. high<\/span> -down. open<\/span> , width2, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> ,down. low<\/span> -down. close<\/span> ,width2,bottom=down. close<\/span> ,color=col2)\n\n#rotate x-axis tick labels\n<\/span>plt. xticks<\/span> (rotation= 45<\/span> , ha=' right<\/span> ')\n\n#display candlestick chart\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/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
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Python \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u1007\u101a\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 \u1015\u102f\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1010\u103d\u1004\u103a Matplotlib \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 Python \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1005\u102c\u101b\u1004\u103a\u1038\u1019\u103e \u101f\u102e\u1005\u1010\u102d\u102f\u1002\u101b\u1019\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1006\u103d\u1032\u1019\u101c\u1032\u104b<\/a>
 Python \u1010\u103d\u1004\u103a Group \u1021\u101c\u102d\u102f\u1000\u103a Box Plots \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1006\u102e\u1019\u102e\u1038\u1001\u102f\u1036\u1007\u101a\u102c\u1038 \u101e\u100a\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1014\u103e\u1004\u1037\u103a\u1021\u1019\u103b\u103e \u1004\u103d\u1031\u101b\u1031\u1038\u1000\u103c\u1031\u1038\u101b\u1031\u1038\u104f \u1005\u103b\u1031\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u101c\u103e\u102f\u1015\u103a\u101b\u103e\u102c\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1018\u100f\u1039\u100d\u102c\u101b\u1031\u1038\u1007\u101a\u102c\u1038 \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u101e\u100a\u103a Python \u101b\u103e\u102d Matplotlib \u1021\u1019\u103c\u1004\u103a\u1021\u102c\u101b\u102f\u1036\u1015\u102f\u1036\u1016\u1031\u102c\u103a\u1001\u103c\u1004\u103a\u1038\u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1006\u102e\u1019\u102e\u1038\u1001\u102f\u1036\u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c- Python \u1010\u103d\u1004\u103a Candlestick Chart \u1016\u1014\u103a\u1010\u102e\u1038\u1001\u103c\u1004\u103a\u1038\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a 8 \u101b\u1000\u103a\u1010\u102c\u1000\u102c\u101c\u1021\u1010\u103d\u1004\u103a\u1038 \u1021\u1001\u103b\u102d\u102f\u1037\u101e\u1031\u102c\u1005\u1010\u1031\u102c\u1037\u101b\u103e\u101a\u103a\u101a\u102c\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u1016\u103d\u1004\u1037\u103a\u104a \u1021\u1015\u102d\u1010\u103a\u104a \u1021\u1019\u103c\u1004\u1037\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1014\u102d\u1019\u1037\u103a\u1005\u103b\u1031\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd #createDataFrame prices = pd. 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