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 thepandaslibrary. The following is a simple sample code:

import pandas as pd print("Pandas版本信息：", pd.__version__)

Code explanation:

First, we useimport pandas as pdto import the pandas library and name itpd, this is the conventional naming method.

Then, we usepd.__version__to access the__version__attribute of the pandas library, which stores the version information of pandas.

Finally, we use theprint()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 thepip show pandascommand 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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