Python相当于R的dput（）函数-Python'sequivalentforR'sdput()function

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There are several options for serializing Python objects to files:

将Python对象序列化为文件有几种选择：

• json.dump() stores the data in JSON format. It is very read- and editable, but can only store lists, dicts, strings, numbers, booleans, so no compound objects. You need to import json before to make the json module available.
• json.dump（）以JSON格式存储数据。它非常易读和可编辑，但只能存储列表，字符串，字符串，数字，布尔值，因此不存在复合对象。您需要先导入json才能使json模块可用。
• pickle.dump() can store most objects.
• pickle.dump（）可以存储大多数对象。

Less common:

不常见：

• The shelve module stores multiple Python objects in a DBM database, mostly acting like a persistent dict.
• shelve模块在DBM数据库中存储多个Python对象，其中大部分都像持久性字典一样。
• marshal.dump(): Not sure when you'd ever need that.
• marshal.dump（）：不确定你什么时候需要它。

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IMO, json.dumps() (note the s) is even better since it returns a string, as opposed to json.dump() which requires you to write to a file.

IMO，json.dumps（）（注意s）甚至更好，因为它返回一个字符串，而不是json.dump（），它需要你写一个文件。

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for a pandas.DataFrame, print(df.to_dict()), as shown here

对于pandas.DataFrame，print（df.to_dict（）），如下所示