Phildb Versions Save

Bugfix release:

• Pandas 1.0 compatibility
• Drop support for EOL Pythons 2.7, 3.4, & 3.5
• Update Appveyor configuration

Feature/bugfix release:

• Close #10: Implement ability to prepend to series
• Travis CI changes to fix Python 3.4 builds (switched to using a conda env instead of root conda env)

Bug fix release:

• Added Windows support
• Officially support Python 3.6

Bug fix release:

• Fix #16: Ensure that IRR data doesn't lose datetime precision.
• Disable use of backup file when appending to an IRR file. This fixes a problem when in append mode where the data we wanted to append to was moved to a backup file and then deleted.
• Update meta.yaml to use new noarch syntax.

Bug fix release:

• Fix #15: Can now instantiate two PhilDB classes at once
• Close #14: Rename commandline tool to phildb from phil

Bug fix release:

• Fix #13: Reading a series that hasn't had data written no longer fails with an IOError
• Closes #6: All examples are now Jupyter notebooks
• Reference the PhilDB paper in the README
• Various code and package tidy up

Bug fix release:

• Fix #12: Passing an empty series no longer results in an index error.

Performance/Bug fix release:

• Performance fix when writing irregular data to handle common case of updating end of series.
• Fixes excess logging of unchanged values

Bug fix release:

• Fix when frequency string doesn't have numeric prefix. Pandas doesn't include a numeric prefix for frequency type 'T' so this fix sets the multiplier to (the implied) one if the entire string consists of 'T'. Thus ensuring that minute data can be stored and accessed.

This release also includes changes to allow building as a conda package. Conda packages now uploaded to Anaconda Cloud: https://anaconda.org/amacd31/phildb

Bug fix release:

• Issue #6: Convert examples to jupyter notebooks
• Fix #9: Changes to avoid numpy FutureWarning
• Bug fix: NaN values were not being updated
• Fix pandas FutureWarning about the use of take_last
• Store 64-bit dates in log files
• Ensure that only new or changed values are written when writing irregular data
• Performance fixes