Before you begin

Before using the Python Executor step, be aware of the following conditions.

You must install the following Python libraries before using the Python Executor step:

• Pandas (1.5.3 or later) is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. The pandas DataFrame along with the Series are the two parts of the pandas data structure, a flexible container for lower dimensional data. For example, DataFrame is a container for Series, and Series is a container for scalars. Ultimately, you want to be able to insert and remove objects from these containers in a dictionary-like fashion.

• NumPy (1.24.2 or later) is a library for the Python programming language which adds both robust support for multi-dimensional arrays and matrices, and a large collection of high-level mathematical functions to operate on these arrays. A NumPy array is a table of values, all of the same type, which is indexed by a tuple of positive integers. NumPy arrays can be fast, easy to work with, providing users opportunities to perform calculations across entire arrays.

• Py4J (0.10.9.7 or later) is a bridge between Python and Java, permitting Python programs running with a Python interpreter to dynamically access Java objects in a JVM. It also allows Java programs to access Python objects.

• Matplotlib(3.7.1 or later) is a plotting library for Python and NumPy.

Note: If you install Python using the Anaconda distribution, all the required libraries will be installed.