【问题标题】:Python reading csv file with semicolon delimiter: too many values to unpackPython读取带有分号分隔符的csv文件:解包的值太多
【发布时间】:2013-02-14 14:45:59
【问题描述】:

我正在尝试读取从 Microsoft Excel 导出的 csv 文件,如下所示:

114.9;280.9;501.5;0;W10;Firewall south;A;1;2;;
119.0;280.9;501.5;0;W10;Southern escape route;B;2;3;asdasdf;
120.5;280.0;501.5;0;W10;Southern escape route;C;3;4;;

分隔符是分号,某些列可能为空。例如,第 10 列可以填充 asdasdf 作为示例。我的代码如下所示:

reader = csv.reader(open(inFile), delimiter=";")

nodesTable = window.getNodesTable()
pathsTable = window.getPathsTable()
clearTable(nodesTable)
clearTable(pathsTable)

for x, y, z, safe, mod, descr_node, name, start, end, descr_path in reader:
    nodesTable.SetStringItem(counter, nodesTable_ID_x, x)
    nodesTable.SetStringItem(counter, nodesTable_ID_y, y)
    nodesTable.SetStringItem(counter, nodesTable_ID_z, z)
    nodesTable.SetStringItem(counter, nodesTable_ID_SafeArea, safe)
    nodesTable.SetStringItem(counter, nodesTable_ID_Module, mod)
    nodesTable.SetStringItem(counter, nodesTable_ID_Description, descr_node)

    pathsTable.SetStringItem(counter, pathsTable_ID_Name, name)
    pathsTable.SetStringItem(counter, pathsTable_ID_StartNode, start)
    pathsTable.SetStringItem(counter, pathsTable_ID_EndNode, end)
    pathsTable.SetStringItem(counter, pathsTable_ID_Description, descr_path)

我收到错误 ValueError: too many values to unpack。我在这里做错了什么?

【问题讨论】:

  • 听起来至少有一行不包含所有值。

标签: python csv


【解决方案1】:

CSV 文件的每一行都有 10 个分号,这意味着该行将被拆分为 11 个元素。在您的 for 循环中,仅使用了 10 个变量。将行改为:

for x, y, z, safe, mod, descr_node, name, start, end, descr_path, _ in reader:

并忽略_ 变量,这将获取行中最后一个; 和行尾之间的空字符。

或将整个循环更改为:

cols = (nodesTable_ID_x, nodesTable_ID_y, nodesTable_ID_z,
        nodesTable_ID_SafeArea, nodesTable_ID_Module,
        nodesTable_ID_Description, pathsTable_ID_Name,
        pathsTable_ID_StartNode, pathsTable_ID_EndNode,
        pathsTable_ID_Description)

for rec in reader:
    for col, val in zip(cols, rec):
        nodesTable.SetStringItem(counter, col, val)

【讨论】:

    猜你喜欢
    • 2020-01-25
    • 1970-01-01
    • 2020-08-14
    • 1970-01-01
    • 2014-06-03
    • 1970-01-01
    • 1970-01-01
    • 1970-01-01
    • 2018-04-01
    相关资源
    最近更新 更多