How to check pandas version

How to view pandas version information requires specific code examples

Pandas is a very popular data processing library in Python and is widely used in data analysis, data cleaning and Data conversion and other fields. Before using pandas, we usually need to know the currently installed pandas version to ensure that we are using the latest or compatible version. This article will introduce how to view pandas version information and provide specific code examples.

To view pandas version information, we can use the __version__ attribute provided in the pandas library. The following is a simple sample code:

import pandas as pd

print("Pandas版本信息：", pd.__version__)

Code explanation:

First, we use import pandas as pd to import the pandas library and name it pd, this is the conventional naming method.

Then, we use pd.__version__ to access the __version__ attribute of the pandas library, which stores the version information of pandas.

Finally, we use the print() function to print out the version information for easy viewing.

By running the above code, we will get output similar to the following:

Pandas版本信息： 1.3.3

This shows that the pandas version we are currently using is 1.3.3.

In addition to the above methods, we can also use the command line interface to view the version information of pandas. Directly executing the pip show pandas command on the command line will display detailed information about the pandas library, including the version number.

To sum up, checking pandas version information is very simple and only requires one line of code to complete. By understanding the currently installed pandas version, we can keep abreast of the latest features and fixed bugs, and make corresponding adjustments and decisions.

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