{"id":968,"date":"2023-07-28T03:48:36","date_gmt":"2023-07-28T03:48:36","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-%e1%80%80%e1%80%ad%e1%80%94%e1%80%ba%e1%80%b8%e1%80%82%e1%80%8f%e1%80%94%e1%80%ba%e1%80%b8-%e1%80%9b%e1%80%bd%e1%80%b1%e1%80%b7%e1%80%9c%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%95%e1%80%bb%e1%80%99\/"},"modified":"2023-07-28T03:48:36","modified_gmt":"2023-07-28T03:48:36","slug":"pandas-%e1%80%80%e1%80%ad%e1%80%94%e1%80%ba%e1%80%b8%e1%80%82%e1%80%8f%e1%80%94%e1%80%ba%e1%80%b8-%e1%80%9b%e1%80%bd%e1%80%b1%e1%80%b7%e1%80%9c%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%95%e1%80%bb%e1%80%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-%e1%80%80%e1%80%ad%e1%80%94%e1%80%ba%e1%80%b8%e1%80%82%e1%80%8f%e1%80%94%e1%80%ba%e1%80%b8-%e1%80%9b%e1%80%bd%e1%80%b1%e1%80%b7%e1%80%9c%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%95%e1%80%bb%e1%80%99\/","title":{"rendered":"Pandas \u101b\u103e\u102d exponential moving average \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1019\u103e\u102f\u1010\u103d\u1004\u103a\u104a <strong>\u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e<\/strong> \u101e\u100a\u103a \u101a\u1001\u1004\u103a\u1000\u102c\u101c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1019\u103e\u102f\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e<\/strong> \u101e\u100a\u103a \u1019\u1000\u103c\u102c\u101e\u1031\u1038\u1019\u102e\u1000 \u101c\u1031\u1037\u101c\u102c\u1010\u103d\u1031\u1037\u101b\u103e\u102d\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1021\u1015\u1031\u102b\u103a \u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a\u1015\u102d\u102f\u1005\u1031\u101e\u100a\u1037\u103a \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038\u104a \u1006\u102d\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u101c\u1010\u103a\u1010\u101c\u1031\u102c\u1001\u1031\u1010\u103a\u101b\u1031\u1005\u102e\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u102d\u102f\u1019\u102d\u102f\u101c\u103b\u1004\u103a\u1019\u103c\u1014\u103a\u1005\u103d\u102c\u1016\u1019\u103a\u1038\u101a\u1030\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a pandas DataFrame \u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1021\u1010\u103d\u1000\u103a \u1011\u1015\u103a\u1000\u102d\u1014\u103a\u1038\u101b\u103d\u103e\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <strong>\u1025\u1015\u1019\u102c- \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1019\u103e\u102f\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e<\/strong><\/h3>\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: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd.DataFrame({'period': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   'sales': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19]})\n\n<span style=\"color: #008080;\">#view DataFrame<\/span> \ndf\n\n        period sales\n0 1 25\n1 2 20\n2 3 14\n3 4 16\n4 5 27\n5 6 20\n6 7 12\n7 8 15\n8 9 14\n9 10 19\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u101a\u1001\u1004\u103a\u1000\u102c\u101c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1021\u1010\u103d\u1000\u103a \u1011\u1015\u103a\u1000\u102d\u1014\u103a\u1038\u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a\u101b\u103e\u102d\u101e\u1031\u102c \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.ewm.html\" target=\"_blank\" rel=\"noopener noreferrer\">pandas.DataFrame.ewm()<\/a> \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<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1024\u101e\u100a\u103a\u1019\u103e\u102c \u101a\u1001\u1004\u103a\u1000\u102c\u101c\u101c\u1031\u1038\u1001\u102f\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1021\u1006\u1015\u103d\u102c\u1038\u1019\u103b\u102c\u1038\u1014\u1031\u101e\u1031\u102c \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new column to hold 4-day exponentially weighted moving average<\/span>\ndf['4dayEWM'] = df['sales']. <span style=\"color: #3366ff;\">ewm<\/span> (span= <span style=\"color: #008000;\">4<\/span> , adjust= <span style=\"color: #008000;\">False<\/span> ). <span style=\"color: #3366ff;\">mean<\/span> ()\n\n<span style=\"color: #008080;\">#view DataFrame<\/span> \ndf\n\n        period sales 4dayEWM\n0 1 25 25.000000\n1 2 20 23.000000\n2 3 14 19.400000\n3 4 16 18.040000\n4 5 27 21.624000\n5 6 20 20.974400\n6 7 12 17.384640\n7 8 15 16.430784\n8 9 14 15.458470\n9 10 19 16.875082<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a 4-\u101b\u1000\u103a\u1000\u103c\u102c \u1021\u1010\u102d\u102f\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1014\u1031\u101e\u1031\u102c \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e \u1021\u101b\u1031\u102c\u1004\u103a\u1038\u1021\u102c\u1038 \u1019\u103c\u1004\u103a\u101e\u102c\u1005\u1031\u101b\u1014\u103a matplotlib \u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \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: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#plot sales and 4-day exponentially weighted moving average<\/span>\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['sales'], label='Sales')\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df['4dayEWM'], label='4-day EWM')\n\n<span style=\"color: #008080;\">#add legend to plot<\/span>\nplt. <span style=\"color: #3366ff;\">legend<\/span> (loc=2)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-10144 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ewmpandas1.png\" alt=\"\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1014\u1031\u101e\u1031\u102c \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1021\u1010\u102d\u102f\u1038\u1014\u103e\u102f\u1014\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a\" width=\"464\" height=\"318\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <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><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/my\/\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e-python-\u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python \u1010\u103d\u1004\u103a Moving Averages \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1015\u1014\u103a\u1012\u102b\u1000\u1031\u102c\u103a\u101c\u1036\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pandas \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/autocorrelation-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python \u1010\u103d\u1004\u103a Autocorrelation \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1021\u1001\u103b\u102d\u1014\u103a\u1005\u102e\u1038\u101b\u102e\u1038\u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1019\u103e\u102f\u1010\u103d\u1004\u103a\u104a \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e \u101e\u100a\u103a \u101a\u1001\u1004\u103a\u1000\u102c\u101c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1019\u103e\u102f\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e \u101e\u100a\u103a \u1019\u1000\u103c\u102c\u101e\u1031\u1038\u1019\u102e\u1000 \u101c\u1031\u1037\u101c\u102c\u1010\u103d\u1031\u1037\u101b\u103e\u102d\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1021\u1015\u1031\u102b\u103a \u1021\u101c\u1031\u1038\u1001\u103b\u102d\u1014\u103a\u1015\u102d\u102f\u1005\u1031\u101e\u100a\u1037\u103a \u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038\u104a \u1006\u102d\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u101c\u1010\u103a\u1010\u101c\u1031\u102c\u1001\u1031\u1010\u103a\u101b\u1031\u1005\u102e\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u102d\u102f\u1019\u102d\u102f\u101c\u103b\u1004\u103a\u1019\u103c\u1014\u103a\u1005\u103d\u102c\u1016\u1019\u103a\u1038\u101a\u1030\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a pandas DataFrame \u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1021\u1010\u103d\u1000\u103a \u1011\u1015\u103a\u1000\u102d\u1014\u103a\u1038\u101b\u103d\u103e\u1031\u1037\u101c\u103b\u102c\u1038\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\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- \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u101b\u103d\u1031\u1037\u101c\u103b\u102c\u1038\u1019\u103e\u102f\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e \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 import pandas as pd #createDataFrame df = pd.DataFrame({&#8216;period&#8217;: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], &#8216;sales&#8217;: [25, 20, 14, 16, [&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>Pandas \u101b\u103e\u102d Exponential Moving 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