Python 2.7 将列号不一致的txt存储到表中

我有一个txt文件，其中包含存储的数据点：

fbbh-b-an86 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 138 138 138 138 138 138 138 138 138 138 138 138 138 138 71 71 71 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 71 71 71 71 71 71 71 71 71 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 138 138 138 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 1 1 1 1 1 1 1 1 1 1 1 38 38 38 38 38 38 38 38 38 16 16 16 16 32 32 32 32 32 32 32 32 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 84 84 84 84 84 136 136 136 136 136 136 136 123 123 123 123 123 123 123 1 1 1 1 1 1 1 1 50 50 50 50 50 50 50 50 50 50 50 50 50 50 115 115 115 115 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 
fbbh-b-an87 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 42 42 42 42 42 92 92 92 92 92 92 116 116 116 116 116 116 116 47 47 47 47 47 47 47 47 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 110 68 68 68 68 68 68 68 80 80 80 111 111 111 111 114 114 114 114 114 114 114 114 123 123 123 123 123 123 123 123 123 123 123 54 54 54 54 54 54 54 54 54 54 54 54 54 54 54 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 107 107 107 107 107 107 107 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 
fbbh-b-an88 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 66 66 66 108 108 108 108 108 108 108 108 108 52 52 52 52 111 111 111 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 114 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 50 50 50 50 50 50 35 35 35 35 35 35 35 35 35 35 35 35 35 35 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 55 55 55 55 55 55 55 55 55 55 1 1 1 1 1 1 1 1 1 1 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 54 54 54 54 54 54 54 54 54 54 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 127 127 127 127 127 127 127 1 1 1 1 1 1 1 1 138 138 138 138 138 138 138 138 138 138 68 68 68 108 108 108 108 108 108 108 108 108 108 108 108 108 108 108 108 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

开头的名称是与数据点关联的名称，数字是数据点。数据点的数量取决于名称，因此列的数量不同

我需要将这些集合数据点按一定顺序存储在numpy数组中，在这种数组中，我认为将其存储在地图中会使生活更轻松，因为我只需要根据名称进行查找，以找到我需要的数据点集合。但是我如何处理这样一个文件

我试过这样的方法：

导入csv

data = open(data_points,"rb")
dict = csv.DictReader(data,delimiter=" ")

但这导致出现

None

，并且无法根据名称查找每个条目

{'': None, '115': None, '38': None, '16': None, 'fbbh-b-an86': 'fbbh-b-an87', '32': None, '50': None, '1': None, '123': None, '110': '110', '71': None, '138': '107', '84': None, '136': None}
{'': '1', '115': '29', '38': '1', '16': '1', 'fbbh-b-an86': 'fbbh-b-an88', '32': '1', '50': '29', '1': '1', '123': '55', '110': '101', '71': '35', '138': '114', None: ['1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '54', '54', '54', '54', '54', '54', '54', '54', '54', '54', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '127', '127', '127', '127', '127', '127', '127', '1', '1', '1', '1', '1', '1', '1', '1', '138', '138', '138', '138', '138', '138', '138', '138', '138', '138', '68', '68', '68', '108', '108', '108', '108', '108', '108', '108', '108', '108', '108', '108', '108', '108', '108', '108', '108', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '99', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', ''], '84': '42', '136': '42'}
{'': '32', '115': '38', '38': '74', '16': '71', 'fbbh-b-an86': 'fbbh-b-an89', '32': '71', '50': '38', '1': '32', '123': '1', '110': '24', '71': '71', '138': '1', None: ['32', '32', '32', '32', '32', '16', '16', '16', '16', '16', '16', '16', '16', '16', '84', '84', '84', '136', '136', '136', '136', '136', '123', '123', '123', '1', '1', '1', '1', '1', '1', '1', '1', '30', '30', '30', '30', '30', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '71', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '110', '44', '44', '44', '44', '128', '128', '128', '128', '128', '16', '16', '16', '92', '92', '92', '92', '92', '116', '116', '116', '116', '71', '71', '71', '71', '71', '90', '90', '90', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '91', '91', '91', '91', '91', '91', '91', '91', '91', '91', '91', '91', '91', '54', '54', '54', '54', '54', '54', '54', '54', '54', '54', '68', '68', '68', '68', '56', '56', '56', '56', '56', '116', '116', '116', '116', '116', '116', '116', '116', '116', '116', '71', '71', '71', '71', '90', '90', '90', '90', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '28', '91', '91', '91', '91', '91', '91', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', ''], '84': '71', '136': '1'}

---

在这里，DictReader似乎不适合我，因为您的数据不是以每一列都有意义的方式组织的，而是每一行都有一个名称和一些任意数据

您是否正在尝试获取地图['fbbh-b-an86']将为您提供第一行点的位置？如果是这样的话，这应该可以做到：

import csv    
map = {}
with open(data_points, 'rb') as csvfile:
  reader = csv.reader(csvfile, delimiter=' ')
  for row in reader:
    name = row[0]
    map[name] = row[1:]
print map