---
- branch: MAIN
  date: Sun May 21 08:54:33 UTC 2017
  files:
  - new: '1.15'
    old: '1.14'
    path: pkgsrc/math/py-pandas/Makefile
    pathrev: pkgsrc/math/py-pandas/Makefile@1.15
    type: modified
  - new: '1.10'
    old: '1.9'
    path: pkgsrc/math/py-pandas/PLIST
    pathrev: pkgsrc/math/py-pandas/PLIST@1.10
    type: modified
  - new: '1.11'
    old: '1.10'
    path: pkgsrc/math/py-pandas/distinfo
    pathrev: pkgsrc/math/py-pandas/distinfo@1.11
    type: modified
  id: 20170521T085433Z.8e452a9ad5af11b73389c68441d1e2d1ccb33a9e
  log: "Changes 0.20.1:\nNew .agg() API for Series/DataFrame similar to the groupby-rolling-resample
    API窶å\x86±, see here\nIntegration with the feather-format, including a new top-level
    pd.read_feather() and DataFrame.to_feather() method, see here.\nThe .ix indexer
    has been deprecated, see here\nPanel has been deprecated, see here\nAddition of
    an IntervalIndex and Interval scalar type, see here\nImproved user API when grouping
    by index levels in .groupby(), see here\nImproved support for UInt64 dtypes, see
    here\nA new orient for JSON serialization, orient='table', that uses the Table
    Schema spec and that gives the possibility for a more interactive repr in the
    Jupyter Notebook, see here\nExperimental support for exporting styled DataFrames
    (DataFrame.style) to Excel, see here\nWindow binary corr/cov operations now return
    a MultiIndexed DataFrame rather than a Panel, as Panel is now deprecated, see
    here\nSupport for S3 handling now uses s3fs, see here\nGoogle BigQuery support
    now uses the pandas-gbq library, see here\n"
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/math/py-pandas'
  unixtime: '1495356873'
  user: adam