Spotfire Service for Python Installation and Administration

Included Packages

Your installation of Spotfire includes version of Python and several packages it needs to run under Spotfire.

Important: The packages listed in this table are required for Spotfire Service for Python and the Python interpreter to work together. Removing any of these packages can cause your Spotfire Service for Python data functions to fail.

If you create and distribute an SPK containing a different Python interpreter, and the interpreter specifies different packages or package versions than those listed here, your data functions could fail to work as expected. Python package authors strive for backward compatibility, but if you encounter such an issue, Spotfire Support can help you.

To help protect against this sort of issue, your distribution of Spotfire Service for Python includes the PIP constraints file interpreter-contraints.txt. If you create an SPK for distribution that contains a different version of the Python interpreter, specify the --constraints option. Any dependency on an included package is "constrained" and the included version is used instead.

See Creating a Spotfire Package for an Alternative Python Interpreter (for Windows) for an example of using the constraints file.

Package name Version Description More information
numpy 1.25.2 Provides the following.
  • An N-dimensional array object.
  • Broadcasting functions.
  • Tools for integrating C/C++ and Fortran code.
  • Linear algebra, Fourier transform, and random number capabilities.
Note: numpy version 1.19.4 has known incompatibilities when it is run on certain more recent versions of Windows 10. These compatibilities can cause Python to fail when it is used with Spotfire. If you build custom packages SPK on Windows, ensure the SPK does not include numpy version 1.19.4.
https://pypi.org/project/numpy/1.25.2/
pandas 2.1.0 Provides data structures and data analysis tools for dealing with tabular data, ordered and unordered time series data, matrix data, and other types of data sets. https://pypi.org/project/pandas/2.1.0
pip 23.2.1 Provides support for installing packages. https://pypi.org/project/pip/23.2.1
python-dateutil 2.8.2 Provides extensions to the datetime module in Python. https://pypi.org/project/python-dateutil/2.8.2
pytz 2022.6 Provides a platform for cross-platform time zone calculations. https://pypi.org/project/pytz/2022.6/
setuptools 68.1.2 Provides tools for building, installing, upgrading, and uninstalling Python packages. https://pypi.org/project/setuptools/68.1.2/
spotfire 2.1.1 Provides functions for integrating Python with Spotfire. https://pypi.org/project/spotfire/2.1.0
six 1.16.0 Provides utility functions for smoothing over the differences between the Python versions 2 and 3. https://pypi.org/project/six/1.16.0/
wheel 0.41.2 The reference implementation of the Python wheel packaging standard, as defined in PEP 427. https://pypi.org/project/wheel/0.41.2/
Note: * Exporting an SBDF that contains empty String columns causes an error with Pandas and numpy. See for more information.