python - 如何从定界列表创建关联数组？

Question

我正在处理从存储设备读出的这种格式的数据:

id:name:UPS_serial_number:WWNN:status:IO_group_id:IO_group_name:config_node:UPS_unique_id:hardware:iscsi_name:iscsi_alias:panel_name:enclosure_id:canister_id:enclosure_serial_number:site_id:site_name
10:node_A::00A550:online:0:io_grp0:yes::SV1:iqn.1986-03.com:2145.test.nodeA::A:::::
15:node_B::00A548:online:0:io_grp0:no::SV1:iqn.1986-03.com.:2145.test.nodeB::B:::::

如何将数据读取为二维数组，如 datarray['15']['status']？

我这样试过:

# Create array
datarray = []
try:
    # Loop trough list
    for i, x in enumerate(lis):
        # Split on the delimter
        linesplit = x.split(":")
        row = []
        for lsi,lsx in enumerate(linesplit):
            row.append([lsi,lsx])
        datarray.append(row)

但这似乎对数据进行了错误的切片:

[[[0, u'id'], [1, u'name'], [2, u'UPS_serial_number'], [3, u'WWNN'], [4, u'status'], [5, u'IO_group_id'], [6, u'IO_group_name'], [7, u'config_node'], [8, u'UPS_unique_id'], [9, u'hardware'], [10, u'iscsi_name'], [11, u'iscsi_alias'], [12, u'panel_name'], [13, u'enclosure_id'],

Answer 1

使用 csv.DictReader将各个行作为字典读取，然后使用字典理解创建“外部”字典，将 ID 属性映射到具有该 ID 的内部字典。

raw = """id:name:UPS_serial_number:WWNN:status:IO_group_id:IO_group_name:config_node:UPS_unique_id:hardware:iscsi_name:iscsi_alias:panel_name:enclosure_id:canister_id:enclosure_serial_number:site_id:site_name
10:node_A::00A550:online:0:io_grp0:yes::SV1:iqn.1986-03.com:2145.test.nodeA::A:::::
15:node_B::00A548:online:0:io_grp0:no::SV1:iqn.1986-03.com.:2145.test.nodeB::B:::::"""

reader = csv.DictReader(raw.splitlines(), delimiter=":")
result = {line["id"]: line for line in reader}
print(result["15"]["status"])  # 'online'

请注意，这不是二维数组，而是字典字典(字典是关联数组)。作为一个简单的二维数组，result["15"]["status"] 这样的查询将不起作用。