{"id":2188,"date":"2023-07-23T08:12:29","date_gmt":"2023-07-23T08:12:29","guid":{"rendered":"https:\/\/statorials.org\/my\/csv-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-numpy-table\/"},"modified":"2023-07-23T08:12:29","modified_gmt":"2023-07-23T08:12:29","slug":"csv-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-numpy-table","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/csv-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-numpy-table\/","title":{"rendered":"Numpy array \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f csv \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)"},"content":{"rendered":"

<\/p>\n

\n

NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\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> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3],[4,5,6],[7,8,9]])\n\n#export array to CSV file\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \")\n<\/strong><\/span><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f\u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f\u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 1- NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u1031\u102c\u103a\u1019\u1010\u103a\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u101e\u102d\u102f\u1037 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1010\u1004\u103a\u1015\u102d\u102f\u1037\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12], [13, 14, 15]])\n\n#export array to CSV file\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \")<\/strong><\/span><\/pre>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u104f\u101c\u1000\u103a\u1015\u103a\u1010\u1031\u102c\u1037\u1010\u103d\u1004\u103a CSV \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f \u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u1037\u103a\u1014\u1031\u101b\u102c\u101e\u102d\u102f\u1037 \u101e\u103d\u102c\u1038\u1015\u102b\u1000\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1000\u103c\u100a\u1037\u103a\u101b\u103e\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n
\"\"<\/p>\n
 \u1025\u1015\u1019\u102c 2- NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u101e\u102d\u102f\u1037 \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1016\u1031\u102c\u103a\u1019\u1010\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1011\u102f\u1010\u103a\u101a\u1030\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a \u1019\u1030\u101b\u1004\u103a\u1038\u1016\u1031\u102c\u103a\u1019\u1010\u103a\u1019\u103e\u102c \u201c%.18e\u201d \u2013 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u101e\u102f\u100a 18 \u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a\u104b \u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a fmt<\/strong> \u1021\u1004\u103c\u1004\u103a\u1038\u1021\u1001\u102f\u1036\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u1031\u102c\u103a\u1019\u1010\u103a\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1015\u103c\u102e\u1038 \u1012\u103f\u1019\u1014\u1031\u101b\u102c\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12], [13, 14, 15]])\n\n#export array to CSV file (using 2 decimal places)\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \", fmt=\" %.2f<\/span> \")<\/strong><\/span><\/pre>\n
 CSV \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f \u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u1037\u103a\u1014\u1031\u101b\u102c\u101e\u102d\u102f\u1037 \u101e\u103d\u102c\u1038\u101c\u102c\u1015\u102b\u1000 \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1000\u103c\u100a\u1037\u103a\u101b\u103e\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n
\"\"<\/p>\n
 \u1025\u1015\u1019\u102c 3- \u1001\u1031\u102b\u1004\u103a\u1038\u1005\u102e\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1001\u1031\u102b\u1004\u103a\u1038\u1005\u102e\u1038\u1019\u103b\u102c\u1038\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u101e\u102d\u102f\u1037 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1010\u1004\u103a\u1015\u102d\u102f\u1037\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12], [13, 14, 15]])\n\n#export array to CSV file (using 2 decimal places)\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \", fmt=\" %.2f<\/span> \",\n           header=\" A, B, C<\/span> \", comments=\"\")<\/strong><\/span><\/pre>\n
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> – \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> \u1021\u1004\u103c\u1004\u103a\u1038\u1021\u1001\u102f\u1036\u101e\u100a\u103a \u1001\u1031\u102b\u1004\u103a\u1038\u1005\u102e\u1038\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a “ #”  \u101e\u1004\u103a\u1039\u1000\u1031\u1010\u1000\u102d\u102f \u1015\u103c\u101e\u1001\u103c\u1004\u103a\u1038\u1019\u103e \u1010\u102c\u1038\u1006\u102e\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 CSV \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f \u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u1037\u103a\u1014\u1031\u101b\u102c\u101e\u102d\u102f\u1037 \u101e\u103d\u102c\u1038\u101c\u102c\u1015\u102b\u1000 \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1000\u103c\u100a\u1037\u103a\u101b\u103e\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n
\"\"<\/p>\n
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> – numpy.savetxt()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1021\u1010\u103d\u1000\u103a \u1005\u102c\u101b\u103d\u1000\u103a\u1005\u102c\u1010\u1019\u103a\u1038\u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u1024\u1014\u1031\u101b\u102c\u1010\u103d\u1004\u103a<\/a> \u101b\u103e\u102c\u1016\u103d\u1031\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/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\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 \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u1021\u101e\u102f\u1036\u1038\u1019\u103b\u102c\u1038\u101e\u1031\u102c \u1016\u1010\u103a\u101b\u103e\u102f\u1001\u103c\u1004\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u101b\u1031\u1038\u1001\u103c\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\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 \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 NumPy \u1016\u103c\u1004\u1037\u103a CSV \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1016\u1010\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas \u1014\u1032\u1037 CSV \u1016\u102d\u102f\u1004\u103a\u1010\u103d\u1031\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1016\u1010\u103a\u1019\u101c\u1032\u104b<\/a>
 Pandas DataFrame \u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b import numpy as np #define NumPy array data = np. array ([[1,2,3],[4,5,6],[7,8,9]]) #export array to CSV file n.p. savetxt (”  my_data.csv “ , data, delimiter=”  , “ ) \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f\u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f\u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u1031\u102c\u103a\u1019\u1010\u103a\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1015\u102b\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u101e\u102d\u102f\u1037 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1010\u1004\u103a\u1015\u102d\u102f\u1037\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- import numpy as np […]<\/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":"\nNumPy Array \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030) - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a NumPy \u1021\u1001\u1004\u103a\u1038\u1021\u1000\u103b\u1004\u103a\u1038\u1000\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u101e\u102d\u102f\u1037 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