Introduction to Python Data Analysis (3): Introduction to Pandas

Why learn pandas?

So here comes the question :

Numpy has been able to help us process data, and can combine with matplotlib to solve our data analysis problems, so what is the purpose of pandas learning?

numpy can help us process numerical data, but this is not enough. In many cases, in addition to numerical values, our data also has strings, as well as time series, etc.

For example: we obtained the data stored in the database through the crawler

So, pandas appeared.

What is Pandas?

The name of Pandas comes from panel data

Pandas is a powerful tool set for analyzing structured data . It is built on NumPy and provides advanced data structure and data manipulation tools . It is one of the important factors that make Python a powerful and efficient data analysis environment.

  • A powerful set of tools needed to analyze and manipulate large structured data sets
  • The foundation is NumPy, which provides high-performance matrix operations
  • Provides a large number of functions and methods that can process data quickly and conveniently
  • Applied to data mining, data analysis
  • Provide data cleaning function

Python crawler, data analysis, website development and other case tutorial videos are free to watch online

https://space.bilibili.com/523606542 

Python learning exchange group: 1039645993

Official website:

http://pandas.pydata.org/

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Origin blog.csdn.net/m0_48405781/article/details/114983540