Easy way to check pandas version

Easy way to check the pandas version, specific code examples are required

When using the pandas library in Python for data processing and analysis, it is often necessary to check the currently installed pandas Version. Accurately knowing the version information can help us understand whether the version has the required functions or fixes some bugs. Here are a few easy ways to check the version of pandas.

Method 1: Use the __version__ attribute

The pandas library provides a special attribute __version__. By accessing this attribute, we can directly obtain the currently installed pandas version information. The following is a sample code:

import pandas as pd

version = pd.__version__
print("当前安装的pandas版本为：" + version)

Run the above code to output the currently installed pandas version information on the console.

Method 2: Use the pd.show_versions() function

The pandas library also provides a convenient function show_versions(), which can display the version information of pandas and its dependent libraries. The following is a sample code:

import pandas as pd

pd.show_versions()

Run the above code to output detailed version information on the console, including the Python version, pandas version and other dependent library versions.

Method 3: Use the pip command to view the installed version

If you installed the pandas library through the pip package management tool, you can directly view the installed version through the pip command. Open a terminal or command line window and enter the following command:

pip show pandas

After executing the command, the details of the pandas library, including the version number, will be listed.

Method 4: Use the conda command to view the installed version

If you installed the pandas library through the Anaconda environment, you can use the conda command to view the installed version. Open a terminal or command line window and enter the following command:

conda list pandas

After executing the command, the installed pandas library and its version number will be listed.

Through the above methods, we can easily check the currently installed pandas version. When using pandas for data processing and analysis, ensuring that you are using the required version can better ensure the compatibility and stability of the code.

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