大约有 1,400 项符合查询结果（耗时：0.0361秒） [XML]
C#对象序列化与反序列化 - 更多技术 - 清泛网移动版 - 专注C++内核技术
...用XmlText
(5) 使用XmlType和XmlAttribute(重命名节点名称)
(6) 列表和数组的序列化
(7) 列表和数组的做为数据成员的序列化
(8) 类型继承与反序列化
(9) 排除不需要序列化的成员
(10) 强制指定成员的序列化顺序
(11) 自定义序列化行为...
C#对象序列化与反序列化 - 更多技术 - 清泛网移动版 - 专注C++内核技术
...用XmlText
(5) 使用XmlType和XmlAttribute(重命名节点名称)
(6) 列表和数组的序列化
(7) 列表和数组的做为数据成员的序列化
(8) 类型继承与反序列化
(9) 排除不需要序列化的成员
(10) 强制指定成员的序列化顺序
(11) 自定义序列化行为...
C#对象序列化与反序列化 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...用XmlText
(5) 使用XmlType和XmlAttribute(重命名节点名称)
(6) 列表和数组的序列化
(7) 列表和数组的做为数据成员的序列化
(8) 类型继承与反序列化
(9) 排除不需要序列化的成员
(10) 强制指定成员的序列化顺序
(11) 自定义序列化行为...
C#对象序列化与反序列化 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...用XmlText
(5) 使用XmlType和XmlAttribute(重命名节点名称)
(6) 列表和数组的序列化
(7) 列表和数组的做为数据成员的序列化
(8) 类型继承与反序列化
(9) 排除不需要序列化的成员
(10) 强制指定成员的序列化顺序
(11) 自定义序列化行为...
Import and Export Excel - What is the best library? [closed]
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I'm going to throw my hand in for flat csv files, if only because you've got the greatest control over the code. Just make sure that you read in the rows and process them one at a time (reading the document to the end and splitting will eat up all of your memory -...
C#对象序列化与反序列化 - 更多技术 - 清泛网移动版 - 专注C/C++及内核技术
...用XmlText
(5) 使用XmlType和XmlAttribute(重命名节点名称)
(6) 列表和数组的序列化
(7) 列表和数组的做为数据成员的序列化
(8) 类型继承与反序列化
(9) 排除不需要序列化的成员
(10) 强制指定成员的序列化顺序
(11) 自定义序列化行为...
How to use the CSV MIME-type?
In a web application I am working on, the user can click on a link to a CSV file. There is no header set for the mime-type, so the browser just renders it as text. I would like for this file to be sent as a .csv file, so the user can directly open it with calc, excel, gnumeric, etc.
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Read a zipped file as a pandas DataFrame
I'm trying to unzip a csv file and pass it into pandas so I can work on the file.
The code I have tried so far is:
5 Ans...
How to estimate how much memory a Pandas' DataFrame will need?
I have been wondering... If I am reading, say, a 400MB csv file into a pandas dataframe (using read_csv or read_table), is there any way to guesstimate how much memory this will need? Just trying to get a better feel of data frames and memory...
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Can iterators be reset in Python?
...y available.
As several answers rightly remarked, in the specific case of csv you can also .seek(0) the underlying file object (a rather special case). I'm not sure that's documented and guaranteed, though it does currently work; it would probably be worth considering only for truly huge csv file...