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How to understand the third-party library pandas of python

2025-02-24 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >

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This article introduces the relevant knowledge of "how to understand python's third-party library pandas". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Pandas module

Pandas is a powerful toolset for analyzing structured data; it is based on Numpy (providing high-performance matrix operations); it is used for data mining and data analysis, as well as data cleaning.

As the final chapter of the pandas series, this paper leads to a problem of data "replication".

Examples are as follows:

As you can see from the image above: we delete a row on data_pd, but this does not change the value of the variable data_pd in memory, but places the deleted data in a newly opened memory area. It can be understood that this mechanism operates on a copy of the original data, so as to protect the original data from change and ensure the security of the original data.

If you need to change the value of the original data directly, you can set the parameter value on the above method:

The phenomenon discussed above exists widely in the python field. As an introduction, the author will discuss the problem of "assignment and deep replication" in the whole python field in another blog post.

This is the end of "how to understand python's third-party library pandas". Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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