As of my knowledge, SPSS and Minitab did not have direct integrations with pandas, a Python library. However, both SPSS and Minitab provide various interfaces and methods to interact with Python.
IBM's SPSS software has a Python plug-in that allows you to execute Python scripts directly within the SPSS interface. This means you can write a script that uses pandas to manipulate your data, then use the SPSS Python integration to execute that script within SPSS.
Minitab, on the other hand, does not have as direct a connection to Python as SPSS. However, you could certainly write a Python script that uses pandas to prepare your data, then import the result into Minitab for further analysis.
Both SPSS and Minitab are primarily used for statistical analysis rather than machine learning, although they do have some machine learning capabilities. Python libraries like scikit-learn and TensorFlow are more commonly used for machine learning, and pandas is often used to prepare the data for these libraries.
This status might have changed recently, so I recommend checking the latest documentations or official websites of these software tools for the most recent updates.