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How to use read_csv to use Quick look-up Table in Pandas

2025-04-05 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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In this issue, the editor will bring you a quick look-up table about how to use read_csv in Pandas. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

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Hello, this is zhenguo.

In the first technical article in 2021, I used xmind to build a quick look-up table, and then I will sort out a series of quick-check tables in this format one after another, hoping to provide convenience for you.

Read_csv has a total of about 40 parameters, but only a dozen are commonly used, so organize the commonly used parameters into the following quick look-up table. Each parameter has meaning, values, and examples, as shown below:

The above is how to use the quick look-up table in Pandas shared by the editor. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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