{"id":2871,"date":"2023-07-20T07:55:51","date_gmt":"2023-07-20T07:55:51","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%9e%e1%80%84%e1%80%ba%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%a1%e1%80%9b%e1%80%ac%e1%80%9d%e1%80%90%e1%80%b9%e1%80%91%e1%80%af%e1%80%94%e1%80%be%e1%80%84%e1%80%b7%e1%80%ba-int64-%e1%80%80%e1%80%b1\/"},"modified":"2023-07-20T07:55:51","modified_gmt":"2023-07-20T07:55:51","slug":"%e1%80%9e%e1%80%84%e1%80%ba%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%a1%e1%80%9b%e1%80%ac%e1%80%9d%e1%80%90%e1%80%b9%e1%80%91%e1%80%af%e1%80%94%e1%80%be%e1%80%84%e1%80%b7%e1%80%ba-int64-%e1%80%80%e1%80%b1","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%9e%e1%80%84%e1%80%ba%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%a1%e1%80%9b%e1%80%ac%e1%80%9d%e1%80%90%e1%80%b9%e1%80%91%e1%80%af%e1%80%94%e1%80%be%e1%80%84%e1%80%b7%e1%80%ba-int64-%e1%80%80%e1%80%b1\/","title":{"rendered":"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1014\u103e\u1004\u1037\u103a int64 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1014\u1031\u1015\u102b\u101e\u100a\u103a\u104b"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u102c\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u1000\u103c\u102f\u1036\u1010\u103d\u1031\u1037\u101b\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u1037\u103a \u1021\u1019\u103e\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e\u102c-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\">ValueError<\/span> : You are trying to merge on int64 and object columns.\n            If you wish to proceed you should use pd.concat\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Pandas DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u101e\u1004\u103a\u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u101e\u100a\u103a \u101e\u1004\u103a\u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u1014\u1031\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u101e\u100a\u103a DataFrame \u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1021\u1001\u103c\u102c\u1038 DataFrame \u101b\u103e\u102d \u1000\u102d\u1014\u103a\u1038\u1015\u103c\u100a\u1037\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u102f\u1015\u103c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1014\u103a\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1015\u1014\u103a\u1012\u102b\u101d\u1000\u103a\u101d\u1036 DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1010\u101a\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>\ndf1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">year<\/span> ': [2015, 2016, 2017, 2018, 2019, 2020, 2021],\n                    ' <span style=\"color: #ff0000;\">sales<\/span> ': [500, 534, 564, 671, 700, 840, 810]})\n\ndf2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">year<\/span> ': ['2015', '2016', '2017', '2018', '2019', '2020', '2021'],\n                    ' <span style=\"color: #ff0000;\">refunds<\/span> ': [31, 36, 40, 40, 43, 70, 62]})\n\n<span style=\"color: #008080;\">#view DataFrames\n<\/span><span style=\"color: #008000;\">print<\/span> (df1)\n\n   year sales\n0 2015 500\n1 2016 534\n2 2017 564\n3 2018 671\n4 2019 700\n5,2020 840\n6 2021 810\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n   year refunds\n0 2015 31\n1 2016 36\n2 2017 40\n3 2018 40\n4 2019 43\n5 2020 70\n6 2021 62<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u101a\u1001\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\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: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#attempt to merge two DataFrames\n<\/span>big_df = df1. <span style=\"color: #3366ff;\">merge<\/span> (df2, on=' <span style=\"color: #ff0000;\">year<\/span> ', how=' <span style=\"color: #ff0000;\">left<\/span> ')\n\n<span style=\"color: #ff0000;\">ValueError<\/span> : You are trying to merge on int64 and object columns.\n            If you wish to proceed you should use pd.concat\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1015\u1011\u1019 DataFrame \u1010\u103d\u1004\u103a\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c <strong>\u1014\u103e\u1005\u103a\u101e\u100a\u103a<\/strong> <strong>\u1000\u102d\u1014\u103a\u1038<\/strong> \u1015\u103c\u100a\u1037\u103a\u1016\u103c\u1005\u103a\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038\u104a \u1012\u102f\u1010\u102d\u101a DataFrame \u101b\u103e\u102d <strong>\u1014\u103e\u1005\u103a<\/strong> \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u1014\u103e\u1005\u103a\u101e\u100a\u103a \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1016\u103c\u1005\u103a\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f\u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1004\u103a\u1019\u101c\u1032\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1004\u103a\u101b\u1014\u103a \u1021\u101c\u103d\u101a\u103a\u1006\u102f\u1036\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103e\u102c \u1012\u102f\u1010\u102d\u101a DataFrame \u104f <strong>\u1014\u103e\u1005\u103a<\/strong> variable \u1000\u102d\u102f \u1000\u102d\u1014\u103a\u1038\u1015\u103c\u100a\u1037\u103a\u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u103c\u102e\u1038\u1014\u1031\u102c\u1000\u103a \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u1001\u103c\u1004\u103a\u1038 \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u101e\u100a\u103a \u104e\u1004\u103a\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#convert year variable in df2 to integer\n<\/span>df2[' <span style=\"color: #ff0000;\">year<\/span> ']=df2[' <span style=\"color: #ff0000;\">year<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (int)\n\n<span style=\"color: #008080;\">#merge two DataFrames\n<\/span>big_df = df1. <span style=\"color: #3366ff;\">merge<\/span> (df2, on=' <span style=\"color: #ff0000;\">year<\/span> ', how=' <span style=\"color: #ff0000;\">left<\/span> ')\n\n<span style=\"color: #008080;\">#view merged DataFrame\n<\/span>big_df\n\n\tyear sales refunds\n0 2015 500 31\n1 2016 534 36\n2 2017 564 40\n3 2018 671 40\n4 2019 700 43\n5 2020 840 70\n6 2021 810 62<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>ValueError<\/strong> \u1010\u1005\u103a\u1005\u102f\u1036\u1010\u1005\u103a\u101b\u102c\u1019\u101b\u101b\u103e\u102d\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1019\u103e\u1010\u103a\u101e\u102c\u1038\u1011\u102c\u1038\u1015\u103c\u102e\u1038 DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1021\u1016\u103c\u1005\u103a \u1021\u1031\u102c\u1004\u103a\u1019\u103c\u1004\u103a\u1005\u103d\u102c \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u1005\u1031\u101b\u1014\u103a \u1005\u102e\u1019\u1036\u1011\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/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> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Python \u101b\u103e\u102d \u1021\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u1018\u102f\u1036\u1021\u1019\u103e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1004\u103a\u1006\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/my\/\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038-\u1011\u1015\u103a\u1014\u1031\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038-\u1014\u1031\u102c\u1000\u103a\u1006\u1000\u103a\u1010\u103d\u1032\u1000\u102d\u102f-\u1019\u1016\u1031\u102c\u103a\u1015\u103c\u1011\u102c\u1038\u1015\u102b\u104b\/\" target=\"_blank\" rel=\"noopener\">\u1015\u103c\u102f\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038 \u1011\u1015\u103a\u1014\u1031\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 \u1014\u1031\u102c\u1000\u103a\u1006\u1000\u103a\u1010\u103d\u1032\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1019\u1011\u102c\u1038\u1015\u102b\u104b<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/numpy-ndarray-\u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1010\u103d\u1004\u103a-\u101b\u100a\u103a\u100a\u103d\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1014\u1031\u102c\u1000\u103a\u1006\u1000\u103a\u1010\u103d\u1032-\u1019\u101b\u103e\u102d\u1015\u102b\u104b\/\" target=\"_blank\" rel=\"noopener\">\u1015\u103c\u102f\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- Object &#8216;numpy.ndarray&#8217; \u1010\u103d\u1004\u103a &#8216;append&#8217; attribute \u1019\u101b\u103e\u102d\u1015\u102b\u104b<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f-\u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1000-\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener\">\u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1014\u100a\u103a\u1038- scalar \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1000\u104a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1000\u103b\u1031\u102c\u103a\u101e\u103d\u102c\u1038\u101b\u1014\u103a\u101c\u102d\u102f\u1021\u1015\u103a\u101e\u100a\u103a\u104b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u102c\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u1000\u103c\u102f\u1036\u1010\u103d\u1031\u1037\u101b\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u1037\u103a \u1021\u1019\u103e\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e\u102c- ValueError : You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat Pandas DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u101e\u1004\u103a\u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u101e\u100a\u103a \u101e\u1004\u103a\u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u1014\u1031\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u101e\u100a\u103a DataFrame \u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1021\u1001\u103c\u102c\u1038 DataFrame \u101b\u103e\u102d \u1000\u102d\u1014\u103a\u1038\u1015\u103c\u100a\u1037\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u102f\u1015\u103c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1014\u103a\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1015\u1014\u103a\u1012\u102b\u101d\u1000\u103a\u101d\u1036 DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1010\u101a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as [&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>\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1014\u103e\u1004\u1037\u103a int64 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1014\u1031\u101e\u100a\u103a - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a pandas \u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f\u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- &quot;\u101e\u1004\u103a\u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1014\u103e\u1004\u1037\u103a int64 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1014\u1031\u101e\u100a\u103a&quot;\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\/\u101e\u1004\u103a\u101e\u100a\u103a-\u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1014\u103e\u1004\u1037\u103a-int64-\u1000\u1031\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038- \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1014\u103e\u1004\u1037\u103a int64 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1014\u1031\u101e\u100a\u103a - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a pandas \u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b error \u1000\u102d\u102f\u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- &quot;\u101e\u1004\u103a\u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1014\u103e\u1004\u1037\u103a int64 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1014\u1031\u101e\u100a\u103a&quot;\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/\u101e\u1004\u103a\u101e\u100a\u103a-\u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1014\u103e\u1004\u1037\u103a-int64-\u1000\u1031\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T07:55:51+00:00\" \/>\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 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