The data_profiler module extends the standard CPython profiler by recording the functions’ signatures. For NumPy array types this includes the dtype attribute and the array’s shape.
It also adds functionality to visualise the augmented profile table in snakeviz.
This module is a direct port of Accelerate.profiler available in Anaconda Accelerate.
Documentation is located here
The easiest way to install data_profiler and get updates is by using the Anaconda Distribution
#> conda install data_profiler
To compile, test and run from source, it is recommended to create a conda environment containing the following:
- numba >=0.26.0
Once a suitable environment is activated, installation achieved simply by running:
#> python setup.py install
and the installation can be tested with:
Documentation is located here.
It is also possible to build a local copy of the documentation from source. This requires GNU Make and sphinx (available via conda).
Documentation is stored in the doc folder, and should be built with:
#> make SPHINXOPTS=-Wn clean html
This ensures that the documentation renders without errors. If errors occur, they can all be seen at once by building with:
#> make SPHINXOPTS=-n clean html
However, these errors should all be fixed so that building with -Wn is possible prior to merging any documentation changes or updates.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size data_profiler-1.0.1.tar.gz (45.7 kB)||File type Source||Python version None||Upload date||Hashes View hashes|