Shulou(Shulou.com)06/01 Report--

This article mainly introduces the grammar of Pandas, which has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, let the editor take you to understand it.

The reason why Python is good in the field of data analysis is largely because the library Pandas is too easy to use and is widely used in data processing, data analysis and other fields.

Recalling that I had just graduated, I had to do a lot of processing, always reading files, filtering, associated files, aggregation statistics, charting and so on were all implemented in Python native syntax, which was extremely inefficient and error-prone. When I came into contact with Pandas later, I almost loved to cry.

Pandas is currently a favorite in Python's library, teasing out its capabilities:

1. Read data from super-multiple data sources directly in format, such as text, json, html, mysql, etc.

2. Data cleaning, filtering, filtering and format conversion

3. Convenient data association, merging and grouping statistics

4. Powerful time and date processing function

5. Seamless docking matplot drawing, can also be quickly converted to my favorite pyecharts drawing

6. Quickly export data to mysql, excel, txt, etc.

7. Convenient docking with sklearn, tensorflow and other machine learning deep learning libraries.

A shorthand picture of Pandas grammar was found on the Internet, from the official document, at github:

Https://github.com/pandas-dev/pandas/tree/master/doc

I also turned it into a big picture and shared it with you:

Thank you for reading this article carefully. I hope the article "what is the Grammar of Pandas" shared by the editor will be helpful to you. At the same time, I also hope that you will support us and pay attention to the industry information channel. More related knowledge is waiting for you to learn!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.