NotImplementedError: PdfMerger.merge requires an object that PdfReader can parse. Typically, that is a Path or a string representing a Path, a file object, or an object implementing .seek and .read. Passing a PdfReader directly works as well.

这个错误是由于在使用PdfMerger.merge函数时传递了一个无法被PdfReader解析的对象引起的。通常，PdfReader可以解析的对象包括路径（Path）或表示路径的字符串，文件对象，或实现了.seek和.read方法的对象。直接传递PdfReader也是可以的。你可以检查一下传递给merge函数的参数是否符合这些要求。如果你能提供更多的代码和上下文，我可以帮你更具体地解决这个问题。

相关问题

can't merge a non object mapping [industry_g1] with an object mapping

This error message usually occurs when you try to merge a non-object mapping with an object mapping. In Elasticsearch, a mapping defines the fields and their data types in an index.

For example, if you have an index called "company" with a field called "industry_g1" that has a non-object mapping (such as a keyword type), and you try to merge it with another mapping that has an object type (such as a nested or object type), you will get this error message.

To resolve this issue, you need to ensure that the mappings you are trying to merge have compatible data types. If you want to merge an object mapping with a non-object mapping, you may need to change the data type of the non-object mapping to an object type.

Alternatively, you can create a new index with the desired mappings and then reindex your data into the new index. This will allow you to have a fresh start with the correct mappings.

TypeError: Can only merge Series or DataFrame objects, a <class 'numpy.ndarray'> was passed 什么意思

这个错误提示意味着你传递给pandas的merge函数的参数包含了一个不是Series或DataFrame类型的numpy数组（numpy.ndarray）。

在使用pandas的merge函数时，应该传递两个DataFrame或Series类型的对象进行合并。如果其中一个参数是numpy数组，那么就会出现该错误。

你可以检查一下你传递给merge函数的参数是否正确，确保它们都是DataFrame或Series类型的对象。如果确实存在numpy数组类型的对象，你需要将其转换成DataFrame或Series类型的对象，然后再调用merge函数。可以使用pandas中的DataFrame或Series函数进行转换。