pandas - pandas read csv 不分隔列，列太多？

Question

我尝试了很多方法，但仍然不起作用下面是第一行的数据，我怎样才能将它们分开？是不是因为列数超过了限制？

1, Car, 48.85, 9.770344, 37.977391, 23.737688, 4.9178, 0.0518, -0.0299, 0.000000, 37.977391, 23.737688, 4.9207, -0.0124, -0.0354, 0.040000, 37.977391, 23.737688, 4.9160, -0.0519, -0.0413, 0.080000, 37.977390 , 23.737688, 4.9057, -0.0914, -0.0478, 0.120000, 37.977390, 23.737689, 4.8871, -0.1679, -0.0550, 0.160000, 37.977389, 23.737689, 4.8547, -0.2815, -0.0628, 0.200000, 37.977389, 23.737689, 4.8033, -0.4320, -0.0713, 0.240000, 37.977388, 23.737690, 4.7318, -0.5617, -0.0804, 0.280000, 37.977388, 23.737690, 4.6442, -0.6543, -0.0905, 0.320000, 37.977388, 23.737690, 4.5437, -0.7413, -0.1017, 0.360000, 37.977387, 23.737690 , 4.4311, -0.8227, -0.1143, 0.400000, 37.977387, 23.737691, 4.3046, -0.9354, -0.1285, 0.440000, 37.977386, 23.737691, 4.1600, -1.0729, -0.1439, 0.480000, 37.977386, 23.737691, 4.4411, -0.5617, -0.0949 , 0.520000, 37.977385, 23.737692, 4。3561, -0.6183, -0.1044, 0.560000, 37.977385, 23.737692, 4.2639, -0.6621, -0.1133, 0.600000, 37.977384, 23.737692, 4.1654, -0.7059, -0.1219, 0.640000, 37.977384, 23.737692, 4.0595, -0.7660, -0.1298, 0.680000, 37.977384, 23.737693, 3.9439, -0.8388, -0.1369, 0.720000, 37.977383, 23.737693, 3.8183, -0.9065, -0.1430, 0.760000, 37.977383, 23.737693, 3.6842, -0.9561, -0.1484, 0.800000, 37.977383, 23.737693, 3.5447, -0.9812, -0.1530, 0.840000, 37.977382, 23.737694, 3.4018, -1.0035, -0.1567, 0.880000, 37.977382, 23.737694, 3.2559, -1.0228, -0.1593, 0.920000, 37.977382, 23.737694, 3.1076, -1.0370, -0.1610, 0.960000, 37.977381, 23.737694, 2.9576, -1.0458, -0.1618, 1.000000, 37.977381, 23.737695, 2.8081, -1.0303, -0.1618, 1.040000, 37.977381, 23.737695, 2.6611, -1.0118, -0.1604, 1.080000, 37.977381, 23.737695, 2.5170, -0.9904 , -0.1573, 1.120000, 37.977381, 23。737695, 2.3763, -0.9638, -0.1525, 1.160000, 37.977380, 23.737695, 2.2398, -0.9320, -0.1460, 1.200000, 37.977380, 23.737695, 2.1096, -0.8757, -0.1377, 1.240000, 37.977380, 23.737695, 1.9883, -0.8090, - 0.1276, 1.280000, 37.977380, 23.737696, 1.8768, -0.7394, -0.1154, 1.320000, 37.977380, 23.737696, 1.7751, -0.6739, -0.1014, 1.360000, 37.977380, 23.737696, 1.6823, -0.6145, -0.0855, 1.400000, 37.977380, 23.737696, 1.5988, -0.5450, -0.0675, 1.440000, 37.977380, 23.737696, 1.5264, -0.4611, -0.0477, 1.480000, 37.977380, 23.737696, 1.4666, -0.3696, -0.0283, 1.520000, 37.977380, 23.737696, 1.4197, -0.2816, -0.0099, 1.560000, 37.977379, 23.737696, 1.3844, -0.2080, 0.0065, 1.600000, 37.977379, 23.737696, 1.3586, -0.1507, 0.0209, 1.640000, 37.977379, 23.737696, 1.3406, -0.0995, 0.0337, 1.680000, 37.977379, 23.737696, 1.3298, -0.0502, 0.0457、1.720000、37。977379, 23.737697, 1.3266, 0.0054, 0.0567, 1.760000, 37.977379, 23.737697, 1.3316, 0.0637, 0.0666, 1.800000, 37.977379, 23.737697, 1.3438, 0.1067, 0.0751, 1.840000, 37.977379, 23.737697, 1.3615, 0.1384, 0.0826, 1.880000, 37.977379, 23.737697, 1.3829, 0.1588, 0.0891, 1.920000, 37.977379, 23.737697, 1.4077, 0.1854, 0.0946, 1.960000, 37.977379, 23.737697, 1.4367, 0.2183, 0.0989, 2.000000, 37.977378, 23.737697, 1.4694, 0.2359, 0.1020, 2.040000, 37.977378, 23.737697, 1.5038, 0.2422, 0.1042, 2.080000, 37.977378, 23.737697, 1.5384, 0.2371, 0.1055, 2.120000, 37.977378, 23.737698, 1.5726, 0.2383, 0.1053, 2.160000, 37.977378, 23.737698, 1.6074, 0.2457, 0.1033, 2.200000, 37.977378, 23.737698, 1.6422, 0.2379，0.0995，2.240000，37.977378，23.737698，1.6752，0.2193，0.0940，2.280000，37.9777377，23.7376981.7296, 0.1574, 0.0773, 2.360000, 37.977377, 23.737698, 1.7503, 0.1307, 0.0657, 2.400000, 37.977377, 23.737698, 1.7669, 0.0993, 0.0521, 2.440000, 37.977377, 23.737698, 1.7787, 0.0652, 0.0367, 2.480000, 37.977377, 23.737699, 1.7857, 0.0317, 0.0203, 2.520000, 37.977376, 23.737699, 1.7876, -0.0060, 0.0035, 2.560000, 37.977376, 23.737699, 1.7842, -0.0411, -0.0115, 2.600000, 37.977376, 23.737699, 1.7765, -0.0660, -0.0241, 2.640000, 37.977376, 23.737699 , 1.7656, -0.0855, -0.0344, 2.680000, 37.977376, 23.737699, 1.7524, -0.0975, -0.0423, 2.720000, 37.977376, 23.737699, 1.7377, -0.1062, -0.0481, 2.760000, 37.977375, 23.737699, 1.7217, -0.1158, -0.0525 , 2.800000, 37.977375, 23.737699, 1.7049, -0.1182, -0.0557, 2.840000, 37.977375, 23.737700, 1.6876, -0.1215, -0.0576, 2.880000, 37.977375, 23.737700, 1.6698, -0.1257, -0.0582, 2.920000, 37.977375, 23.737700,1.6517, -0.1266, -0.0577, 2.960000, 37.977375, 23.737700, 1.6336, -0.1243, -0.0561, 3.000000, 37.977375, 23.737700, 1.6164, -0.1147, -0.0534, 3.040000, 37.977374, 23.737700, 1.6005, -0.1061, -0.0498, 3.080000, 37.977374, 23.737700, 1.5858, -0.0983, -0.0453, 3.120000, 37.977374, 23.737700, 1.5724, -0.0873, -0.0402, 3.160000, 37.977374, 23.737700, 1.5609, -0.0730, -0.0342, 3.200000, 37.977374, 23.737700, 1.5519, -0.0515, -0.0275, 3.240000, 37.977374, 23.737701, 1.5460, -0.0307, -0.0199, 3.280000, 37.977374, 23.737701, 1.5430, -0.0108, -0.0118, 3.320000, 37.977374, 23.737701, 1.5430, 0.0115, -0.0031, 3.360000, 37.977373 , 23.737701, 1.5465, 0.0368, 0.0062, 3.400000, 37.977373, 23.737701, 1.5542, 0.0698, 0.0164, 3.440000, 37.977373, 23.737701, 1.5670, 0.1081, 0.0272, 3.480000, 37.977373, 23.737701, 1.5853, 0.1467, 0.0382, 3.520000, 37.977373, 23 .737701, 1.6091, 0.1830, 0.0491, 3.560000, 37.977373, 23.737701, 1.6377, 0.2140, 0.0593, 3.600000, 37.977373, 23.737701, 1.6704, 0.2403, 0.0685, 3.640000, 37.977373, 23.737702, 1.7071, 0.2695, 0.0768, 3.680000, 37.977373, 23.737702, 1.7480, 0.2993, 0.0843, 3.720000, 37.977372, 23.737702, 1.7930, 0.3255, 0.0908, 3.760000, 37.977372, 23.737702, 1.8414, 0.3460, 0.0960, 3.800000, 37.977372, 23.737702, 1.8918, 0.3548, 0.1000, 3.840000, 37.977372, 23.737702, 1.9435, 0.3634, 0.1029, 3.880000, 37.977372, 23.737702, 1.9964, 0.3717, 0.1045, 3.920000, 37.977372, 23.737702, 2.0503, 0.3764, 0.1050, 3.960000, 37.977371, 23.737702, 2.1046, 0.3775, 0.1043, 4.000000, 37.977371, 23.737703, 2.1582, 0.3670, 0.1026, 4.040000, 37.977371, 23.737703, 2.2102, 0.3562, 0.0999, 4.080000, 37.977371, 23.737703, 2.2607, 0.3451, 0.0960, 4.120000, 37.977371, 23.737703, 2.3094, 0.3304, 0.0911, 4.160000, 37.977370, 23.737703, 2.3556, 0.3122, 0.0853, 4.200000, 37.977370, 23.737703, 2.3984, 0.2823, 0.0788, 4.240000, 37.977370, 23.737703, 2.4369, 0.2516, 0.0714, 4.280000, 37.977370, 23.737704, 2.4709, 0.2206, 0.0630, 4.320000, 37.977369, 23.737704, 2.5002, 0.1866, 0.0537, 4.360000, 37.977369, 23.737704, 2.5244, 0.1498, 0.0434, 4.400000, 37.977369, 23.737704, 2.5426, 0.1025, 0.0323, 4.440000, 37.977369, 23.737704, 2.5534, 0.0477, 0.0204, 4.480000, 37.977368, 23.737704, 2.5563, -0.0077, 0.0082, 4.520000, 37.977368, 23.737704, 2.5513, -0.0607, -0.0041, 4.560000, 37.977368, 23.737705, 2.5393, -0.1061, -0.0160, 4.600000, 37.977368, 23.737705, 2.5213, - 0.1438，-0.0275，4.640000，37.977367，23.737705，2.4977，2.4977，-0.1844，-0.0385，4.680000，37.9777367，37.9777367，23.737705，2.4683，2.4683，2.4683， -0.07.7.7.7.7.7.7.7.，，-0.7.7.7.7.7.，0.0.7.7.7.7.，0.0.7.7.7.y. in-0.0579, 4.760000, 37.977367, 23.737705, 2.3937, -0.2895, -0.0663, 4.800000, 37.977366, 23.737705, 2.3511, -0.3025, -0.0740, 4.840000, 37.977366, 23.737705, 2.3066, -0.3149, -0.0807, 4.880000, 37.977366, 23.737706 , 2.2605, -0.3264, -0.0864, 4.920000, 37.977366, 23.737706, 2.2129, -0.3335, -0.0911, 4.960000, 37.977365, 23.737706, 2.1647, -0.3360, -0.0949, 5.000000, 37.977365, 23.737706, 2.1173, -0.3228, -0.0978 , 5.040000, 37.977365, 23.737706, 2.0718, -0.3087, -0.0998, 5.080000, 37.977365, 23.737706, 2.0285, -0.2939, -0.1008, 5.120000, 37.977365, 23.737706, 1.9875, -0.2746, -0.1008, 5.160000, 37.977365, 23.737706, 1.9497 , -0.2507, -0.0999, 5.200000, 37.977364, 23.737707, 1.9165, -0.2110, -0.0981, 5.240000, 37.977364, 23.737707, 1.8890, -0.1702, -0.0953, 5.280000, 37.977364, 23.737707, 1.8675, -0.1287, -0.0916, 5.320000 , 37.977364, 23.737707, 1。8523, -0.0826, -0.0870, 5.360000, 37.977364, 23.737707, 1.8440, -0.0325, -0.0815, 5.400000, 37.977364, 23.737707, 1.8440, 0.0321, -0.0750, 5.440000, 37.977364, 23.737707, 1.8540, 0.1068, -0.0675, 5.480000, 37.977364, 23.737707, 1.8747, 0.1818, -0.0593, 5.520000, 37.977363, 23.737707, 1.9061, 0.2537, 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标签： pandasinput

Answer 1

您的输入文件在每个逗号后包含一个空格。要在阅读时优雅地省略它们，请将 skipinitialspace=True传递 给read_csv。

另一个提示：如果您在帖子中提供的行确实是文件的第一行（它只包含数据，不包含列名），那么您的文件没有包含列名的行。

要通知read_csv，请传递header=None 或带有正确列名列表的名称。

最后一个细节：可能你的源代码的第一列应该是index。如果是这种情况，请传递index_col=[0]。