我有一个数据框和一个包含290个项目的列表（索引0-289），我想知道如何将这个长列表分成10列29行的数据帧。
答案 0 :(得分：2)
我认为您可以使用numpy.array构造函数创建DataFrame然后numpy.reshape：
#python 3
L = list(range(290))
#python 2
#L = range(290)
print (L)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289]
print (pd.DataFrame(np.array(L).reshape(29,10)))
0 1 2 3 4 5 6 7 8 9
0 0 1 2 3 4 5 6 7 8 9
1 10 11 12 13 14 15 16 17 18 19
2 20 21 22 23 24 25 26 27 28 29
3 30 31 32 33 34 35 36 37 38 39
4 40 41 42 43 44 45 46 47 48 49
5 50 51 52 53 54 55 56 57 58 59
6 60 61 62 63 64 65 66 67 68 69
7 70 71 72 73 74 75 76 77 78 79
8 80 81 82 83 84 85 86 87 88 89
9 90 91 92 93 94 95 96 97 98 99
10 100 101 102 103 104 105 106 107 108 109
11 110 111 112 113 114 115 116 117 118 119
12 120 121 122 123 124 125 126 127 128 129
13 130 131 132 133 134 135 136 137 138 139
14 140 141 142 143 144 145 146 147 148 149
15 150 151 152 153 154 155 156 157 158 159
16 160 161 162 163 164 165 166 167 168 169
17 170 171 172 173 174 175 176 177 178 179
18 180 181 182 183 184 185 186 187 188 189
19 190 191 192 193 194 195 196 197 198 199
20 200 201 202 203 204 205 206 207 208 209
21 210 211 212 213 214 215 216 217 218 219
22 220 221 222 223 224 225 226 227 228 229
23 230 231 232 233 234 235 236 237 238 239
24 240 241 242 243 244 245 246 247 248 249
25 250 251 252 253 254 255 256 257 258 259
26 260 261 262 263 264 265 266 267 268 269
27 270 271 272 273 274 275 276 277 278 279
28 280 281 282 283 284 285 286 287 288 289