{"id":4086,"date":"2023-07-13T16:48:18","date_gmt":"2023-07-13T16:48:18","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%82%d8%b1%d8%a7%d8%a1%d8%a9-excel-dtype\/"},"modified":"2023-07-13T16:48:18","modified_gmt":"2023-07-13T16:48:18","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%82%d8%b1%d8%a7%d8%a1%d8%a9-excel-dtype","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%82%d8%b1%d8%a7%d8%a1%d8%a9-excel-dtype\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0646\u0648\u0627\u0639 \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 excel"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u062d\u062f\u064a\u062f \u0646\u0648\u0639 \u0643\u0644 \u0639\u0645\u0648\u062f \u0641\u064a DataFrame \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 Excel \u0625\u0644\u0649 \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = pd. <span style=\"color: #3366ff;\">read_excel<\/span> (' <span style=\"color: #ff0000;\">my_data.xlsx<\/span> ',\n                 dtype = {' <span style=\"color: #ff0000;\">col1<\/span> ': <span style=\"color: #008000;\">str<\/span> , ' <span style=\"color: #ff0000;\">col2<\/span> ': <span style=\"color: #008000;\">float<\/span> , ' <span style=\"color: #ff0000;\">col3<\/span> ': <span style=\"color: #008000;\">int<\/span> })\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u062d\u062f\u062f \u0627\u0644\u0648\u0633\u064a\u0637\u0629 <b>dtype<\/b> \u0646\u0648\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0630\u064a \u064a\u062c\u0628 \u0623\u0646 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u064a\u0647 \u0643\u0644 \u0639\u0645\u0648\u062f \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 Excel \u0625\u0644\u0649 Pandas DataFrame.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644: \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0646\u0648\u0627\u0639 \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 Excel \u0625\u0644\u0649 Pandas<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0645\u0644\u0641 Excel \u0627\u0644\u062a\u0627\u0644\u064a \u0627\u0644\u0645\u0633\u0645\u0649 <strong>player_data.xlsx<\/strong> :<\/span> <\/p>\n<p style=\";text-align:right;direction:rtl\"><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32506 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sauter-excel1.png\" alt=\"\" width=\"510\" height=\"470\" srcset=\"\" sizes=\"\"><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0625\u0630\u0627 \u0642\u0645\u0646\u0627 \u0628\u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 Excel \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>read_excel()<\/strong> \u060c \u0641\u0633\u062a\u062d\u0627\u0648\u0644 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u062a\u062d\u062f\u064a\u062f \u0646\u0648\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u062a\u0644\u0642\u0627\u0626\u064a\u064b\u0627 \u0644\u0643\u0644 \u0639\u0645\u0648\u062f:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import Excel file\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_excel<\/span> (' <span style=\"color: #ff0000;\">player_data.xlsx<\/span> ')\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points rebound assists\n0 to 24 8 5\n1 B 20 12 3\n2 C 15 4 7\n3 D 19 4 8\n4 E 32 6 8\n5 F 13 7 9\n\n<span style=\"color: #008080;\">#view data type of each column\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.dtypes<\/span> )\n\nteam object\nint64 dots\nrebounds int64\nassists int64\ndtype:object\n<\/strong><\/span><\/b><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0645\u0646 \u0627\u0644\u0646\u062a\u064a\u062c\u0629\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0623\u0639\u0645\u062f\u0629 DataFrame \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0641\u0631\u064a\u0642<\/strong> : \u0643\u0627\u0626\u0646<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0646\u0642\u0627\u0637<\/strong> : int64<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0627\u0631\u062a\u062f\u0627\u062f\u0627\u062a<\/strong> : int64<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0645\u0633\u0627\u0639\u062f\u0629<\/strong> : int64<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0633\u064a\u0637\u0629 <b>dtype<\/b> \u0641\u064a \u0627\u0644\u062f\u0627\u0644\u0629 <strong>read_excel()<\/strong> \u0644\u062a\u062d\u062f\u064a\u062f \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u062c\u0628 \u0623\u0646 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u064a\u0647\u0627 \u0643\u0644 \u0639\u0645\u0648\u062f:<\/span><b> <\/b><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"><b><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#import Excel file and specify dtypes of columns\n<\/span>df = pd. <span style=\"color: #3366ff;\">read_excel<\/span> (' <span style=\"color: #ff0000;\">player_data.xlsx<\/span> ',\n                   dtype = {' <span style=\"color: #ff0000;\">team<\/span> ': <span style=\"color: #008000;\">str<\/span> , ' <span style=\"color: #ff0000;\">points<\/span> ': <span style=\"color: #008000;\">float<\/span> , ' <span style=\"color: #ff0000;\">rebounds<\/span> ': <span style=\"color: #008000;\">int<\/span> ,\n                            ' <span style=\"color: #ff0000;\">assists<\/span> ': <span style=\"color: #008000;\">float<\/span> })\n\n<span style=\"color: #008080;\">#view resulting DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points rebound assists\n0 A 24.0 8 5.0\n1 B 20.0 12 3.0\n2 C 15.0 4 7.0\n3 D 19.0 4 8.0\n4 E 32.0 6 8.0\n5 F 13.0 7 9.0\n\n<span style=\"color: #008080;\">#view data type of each column\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.dtypes<\/span> )\n\nteam object\nfloat64 points\nrebounds int32\nassist float64\ndtype:object<\/strong><\/span><\/b><\/pre>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u0645\u0646 \u0627\u0644\u0646\u062a\u064a\u062c\u0629\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0623\u0639\u0645\u062f\u0629 DataFrame \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0641\u0631\u064a\u0642<\/strong> : \u0643\u0627\u0626\u0646<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0646\u0642\u0627\u0637<\/strong> : float64<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u0627\u0631\u062a\u062f\u0627\u062f\u0627\u062a<\/strong> : int32<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u062a\u0645\u0631\u064a\u0631\u0627\u062a \u0627\u0644\u062d\u0627\u0633\u0645\u0629<\/strong> : float64<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u062a\u0648\u0627\u0641\u0642 \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0647\u0630\u0647 \u0645\u0639 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062d\u062f\u062f\u0646\u0627\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0633\u064a\u0637\u0629 <strong>dtype<\/strong> .<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0646\u0627 \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u0642\u0645\u0646\u0627 \u0628\u062a\u062d\u062f\u064a\u062f \u0646\u0648\u0639 \u0643\u0644 \u0639\u0645\u0648\u062f \u0641\u064a DataFrame.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u062e\u062a\u064a\u0627\u0631 \u062a\u062d\u062f\u064a\u062f \u0646\u0648\u0639 \u0623\u0639\u0645\u062f\u0629 \u0645\u0639\u064a\u0646\u0629 \u0641\u0642\u0637 \u0648\u0627\u0644\u0633\u0645\u0627\u062d \u0644\u062d\u064a\u0648\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0628\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0646\u0648\u0639 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u062a\u0628\u0642\u064a\u0629.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0643\u0627\u0645\u0644\u0629 \u0644\u0648\u0638\u064a\u0641\u0629 Pandas <strong>read_excel()<\/strong> <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.read_excel.html\" target=\"_blank\" rel=\"noopener\">\u0647\u0646\u0627<\/a> .<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0642\u0631\u0627\u0621\u0629-\u062e\u0637\u0648\u0637-\u062a\u062e\u0637\u064a-\u0627\u0644\u062a\u0641\u0648\u0642\/\" target=\"_blank\" rel=\"noopener\">\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u062e\u0637\u064a \u0627\u0644\u0623\u0633\u0637\u0631 \u0639\u0646\u062f \u0642\u0631\u0627\u0621\u0629 \u0645\u0644\u0641 Excel<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u062c\u0645\u0639-\u0628\u064a\u0646-\u0627\u0654\u0648\u0631\u0627\u0642-\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629-\u0641\u064a-excel\/\" target=\"_blank\" rel=\"noopener\">\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062c\u0645\u0639 \u0628\u064a\u0646 \u0623\u0648\u0631\u0627\u0642 \u0625\u0643\u0633\u0644 \u0645\u062a\u0639\u062f\u062f\u0629<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0643\u062a\u0627\u0628\u0629-\u0639\u062f\u0629-\u0627\u0654\u0648\u0631\u0627\u0642-\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u062a\u0641\u0648\u0642\/\" target=\"_blank\" rel=\"noopener\">\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0643\u062a\u0627\u0628\u0629 DataFrames \u0639\u0628\u0631 \u0623\u0648\u0631\u0627\u0642 Excel \u0645\u062a\u0639\u062f\u062f\u0629<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u062d\u062f\u064a\u062f \u0646\u0648\u0639 \u0643\u0644 \u0639\u0645\u0648\u062f \u0641\u064a DataFrame \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0631\u0627\u062f \u0645\u0644\u0641 Excel \u0625\u0644\u0649 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: df = pd. read_excel (&#8216; my_data.xlsx &#8216;, dtype = {&#8216; col1 &#8216;: str , &#8216; col2 &#8216;: float , &#8216; col3 &#8216;: int }) \u062a\u062d\u062f\u062f \u0627\u0644\u0648\u0633\u064a\u0637\u0629 dtype \u0646\u0648\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0630\u064a \u064a\u062c\u0628 \u0623\u0646 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u064a\u0647 \u0643\u0644 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