perspective-python 0.4.6

Python bindings and JupyterLab integration for Perspective

perspective-python

Python APIs for perspective front end

Install

perspective-python can be installed from pypi with pip:

pip install -v perspective-python

Because perspective-python is a C++ library at its core, the installation process is a little more complex than pure-Python projects. When submitting issues on GitHub related to installation/dependencies, please make sure to include the verbose logs from pip install -v.

Wheels are currently distributed for:

• MacOS (Python 3.7, Python 2.7)

For Linux and Windows, source distributions are available from PyPi. For proper installation of the source distribution (as it requires your machine to build the C++ extension), make sure the following dependencies are installed:

• CMake
• A C++ compiler (platform-dependent)
  • On Windows, use Microsoft Visual Studio 2017 (MSVC 14.1).

Dependencies

pyarrow==0.15.1 is a build dependency and must be installed before installing Perspective:

pip install pyarrow==0.15.1

All other dependencies (Python and C++) will be installed as part of the pip install process.

Jupyterlab Extension

To use perspective-python in JupyterLab, make sure perspective-python has already been installed successfully from pip.

Afterwards, install the extension from Jupyter's extension registry:

jupyter labextension install @finos/perspective-jupyterlab

Documentation

Python User Guide Python API Examples

Developing

To develop perspective-python, additional C++ dependencies are required (on top of CMake and a C++ compiler):

• boost
• PyBind11
• tbb

On MacOS, you should be able to install Boost, PyBind11, and tbb from brew:

brew install boost pybind11 tbb

Then run yarn build, and if a .perspectiverc config file has not been created yet, you'll be taken through the yarn setup script. On the Focus section, type p for python, and continue through the script. Run yarn build again, and the python build should begin.

If you already have a .perspectiverc and want to reset your build configuration, simply run yarn setup.

Once the build successfully completes, run yarn test_python from the project root in order to verify operation.

Windows

By default, perspective-python attempts to build utilizing Microsoft Visual Studio 2017 (MSVC 14.1). You may change this to an older version by editing setup.py.