pygtc - Version 0.5.0

• Drop support for matplotlib < 2.2 and numpy < 1.7.1
• Take advantage of "new" built in axis-label alignment (thanks @samueldmcdermott)
• Dropped holdRC keyword argument now that minimum matplotlib version is greater than 2.0

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter over 2 years ago

pygtc - Version 0.4.1

• Add packaging package to explicit list of deps to fix import bug.
• Fix bug where plot legend did not respect truthLineStyles
• 1-D plot scaling is now always 5% above the maximum datapoint (previously it was "auto-scaled")
• Removed legacy test baseline images from the codebase and regenerated new test images that incorporate the 1-D plot scaling fix
• Fixed bug in Python 2.7 support that was introduced in 0.4.0

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter almost 4 years ago

pygtc - Version 0.4.0

• Update deprecated normed keyword for matplotlib and numpy histograms to density
• Add version number to package itself
• Add tests to the distribution
• Verified matplotlib 3.0 support
• Migrated testing from nose to pytest
• Note: Version 0.5 and up will drop support for matplotlib < 2.1 and numpy < 1.7.1. Version 0.4 will still recieve minor version bumps to address bugs.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter almost 6 years ago

pygtc - New release with better colors and fewer bugs!

Version 0.3.1 * Trivial change to readme file to fix an image not loading in PyPI

Version 0.3.0 * Fixed bug due to changes in the OSX backend for matplotlib 2.0. * Addressed deprecation warnings due to changes in matplotlib 2.0 in a backwards compatible way with matplotlib 1.5. * Updated color scheme to align with new matplotlib 2.0 defaults. * Fixed bug that can mess up axis limits when one column doesn't have data * Changed some calls to axis plot methods to explicitly call the axis method instead of relying on pyplot to get it right. * Add a hack to fix the scaling of the lower-right 1D panel for matplotlib versions < 2.0.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter over 8 years ago

pygtc - Update for Python3 compatibility

Version 0.2.4 * Fixed bug that was causing a crash in Python 3.5

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter almost 9 years ago

pygtc - Feature update: now can omit parameters

Version 0.2.3: - It is now possible to omit a parameter from a chain by using None as a placeholder. Demo notebook and documentation updated appropriately. - Added changelog to manifest.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter about 9 years ago

pygtc - Small update to fix unit testing

Version 0.2.2: - No longer fails if you ask for priors and scipy is missing. Instead, it issues a warning and ignores the request. - Test suite now skips tests that required pandas or scipy if pandas or scipy is missing.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter over 9 years ago

pygtc - Update to version 0.2.1

Version 0.2.1: - Refactored code to make contour choice options more clear. - Updated documentation with discussion about contour level choices. - Added tests for most Keyword Argument options. Tests require nose. - Updated documentation to include notes about testing. - Added a requirements.txt file to the package specifying version numbers and removed those specifications from setup.py.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter over 9 years ago

pygtc - Big update to 0.2.0

Version 0.2.0 updates: - Option to turn off tick label rotation - Long tick labels are now lined up correctly with their ticks - Option to fine tune position of label relative to tick - Can choose to use 1d or 2d Gaussian sigma contours - scipy is now an optional dependency - Can choose to fill contours and 1d histograms independently - Can plot the actual data-point density underneath the contours - Full control over fonts for labels, ticks, and legend - Use built-in matplotlib LaTex renderer for equations in labels so no LaTex installation is required locally. - Added a new example to the documentation

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by FaustinCarter over 9 years ago