Find the version of Pandas and its dependencies

Pandas is one of the most important libraries for data analysis in Python. It is actively maintained and regularly updated which can lead to version compatibility issues especially when working with other libraries that depend on Pandas. To avoid such issues, it's important to know which version of Pandas you're using and we have multiple methods to do that.

Method 1: Check Pandas Version in Python using pip

We can check Pandas version in Python using "pip show" command as given below. This method works directly from the command line or terminal.

pip show pandas

Output:

Here we can see pandas version is 1.4.4

Method 2: Find the Pandas Version Using Code

We can use "pd.__version__" to check its version in a python script or Jupyter Notebook. This method is useful when you want to verify the version or include it as part of script logs or reporting process.

import pandas as pd

print(pd.__version__)

Output:

0.23.4

Method 3: Finding the Version of Pandas Dependencies

We can check not only check the version of Pandas but also the versions of its key dependencies like NumPy using the utility function "pd.show_versions()". This method is helpful when debugging compatibility issues or preparing environment reports.

import pandas as pd

pd.show_versions()

Output:

Here we can see pandas version to be 0.23.4. These methods make it easy to check the Pandas version and ensure compatibility in your Python environment.