--- - branch: MAIN date: Sat Feb 16 00:02:19 UTC 2013 files: - new: '1.3' old: '1.2' path: pkgsrc/math/py-pandas/Makefile pathrev: pkgsrc/math/py-pandas/Makefile@1.3 type: modified - new: '1.3' old: '1.2' path: pkgsrc/math/py-pandas/distinfo pathrev: pkgsrc/math/py-pandas/distinfo@1.3 type: modified id: 20130216T000219Z.b01059f098fd75cc7364564d02a79517dbcab3ad log: "Update pandas to 0.10.1.\n\nRelease date: 2013-01-22\n\nNew features:\n\n \ Add data inferface to World Bank WDI pandas.io.wb (GH2592)\n\nAPI Changes:\n\n \ Restored inplace=True behavior returning self (same object) with\n\t deprecation warning until 0.11 (GH1893)\n HDFStore\n refactored HFDStore to deal with non-table stores as objects, will\n\t allow future enhancements\n \ removed keyword compression from put (replaced by keyword complib\n\t \ to be consistent across library)\n warn PerformanceWarning if you are attempting to store types that\n\t will be pickled by PyTables\n\nImprovements to existing features:\n\n HDFStore\n enables storing of multi-index dataframes (closes GH1277)\n support data column indexing and selection, via data_columns\n\t keyword in append\n support write chunking to reduce memory footprint, via chunksize\n\t keyword to append\n support automagic indexing via index keyword to append\n support expectedrows keyword in append to inform PyTables about\n\t the expected tablesize\n support start and stop keywords in select to limit the row\n\t selection space\n \ added get_store context manager to automatically import with pandas\n \ added column filtering via columns keyword in select\n added methods append_to_multiple/select_as_multiple/\n\t select_as_coordinates to do multiple-table append/selection\n added support for datetime64 in columns\n added method unique to select the unique values in an indexable\n\t or data column\n added method copy to copy an existing store (and possibly upgrade)\n show the shape of the data on disk for non-table stores when\n\t printing the store\n added ability to read PyTables flavor tables (allows compatiblity\n\t to other HDF5 systems)\n \ Add logx option to DataFrame/Series.plot (GH2327, GH2565)\n Support reading gzipped data from file-like object\n pivot_table aggfunc can be anything used in GroupBy.aggregate (GH2643)\n Implement DataFrame merges in case where set cardinalities might\n\t overflow 64-bit integer (GH2690)\n \ Raise exception in C file parser if integer dtype specified and have\n\t \ NA values. (GH2631)\n Attempt to parse ISO8601 format dates when parse_dates=True in read_csv\n\t for major performance boost in such cases (GH2698)\n Add methods neg and inv to Series\n Implement kind option in ExcelFile to indicate whether it's an XLS\n\t or XLSX file (GH2613)\n\nBug fixes:\n\n Fix read_csv/read_table multithreading issues (GH2608)\n HDFStore\n correctly handle nan elements in string columns; serialize via the\n\t nan_rep keyword to append\n raise correctly on non-implemented column types (unicode/date)\n \ handle correctly Term passed types (e.g. index<1000, when index is\n\t \ Int64), (closes GH512)\n handle Timestamp correctly in data_columns (closes GH2637)\n contains correctly matches on non-natural names\n \ correctly store float32 dtypes in tables (if not other float types\n\t \ in the same table)\n Fix DataFrame.info bug with UTF8-encoded columns. (GH2576)\n Fix DatetimeIndex handling of FixedOffset tz (GH2604)\n More robust detection of being in IPython session for wide DataFrame\n\t console formatting (GH2585)\n Fix platform issues with file:/// in unit test (GH2564)\n Fix bug and possible segfault when grouping by hierarchical level that\n\t contains NA values (GH2616)\n Ensure that MultiIndex tuples can be constructed with NAs (GH2616)\n Fix int64 overflow issue when unstacking MultiIndex with many levels\n\t (GH2616)\n Exclude non-numeric data from DataFrame.quantile by default (GH2625)\n Fix a Cython C int64 boxing issue causing read_csv to return incorrect\n\t results (GH2599)\n Fix groupby summing performance issue on boolean data (GH2692)\n Don't bork Series containing datetime64 values with to_datetime (GH2699)\n Fix DataFrame.from_records corner case when passed columns, index\n\t column, but empty record list (GH2633)\n Fix C parser-tokenizer bug with trailing fields. (GH2668)\n Don't exclude non-numeric data from GroupBy.max/min (GH2700)\n Don't lose time zone when calling DatetimeIndex.drop (GH2621)\n Fix setitem on a Series with a boolean key and a non-scalar as value\n\t (GH2686)\n Box datetime64 values in Series.apply/map (GH2627, GH2689)\n Upconvert datetime + datetime64 values when concatenating frames\n\t (GH2624)\n Raise a more helpful error message in merge operations when one\n\t DataFrame has duplicate columns (GH2649)\n Fix partial date parsing issue occuring only when code is run at EOM\n\t (GH2618)\n Prevent MemoryError when using counting sort in sortlevel with\n\t high-cardinality MultiIndex objects (GH2684)\n Fix Period resampling bug when all values fall into a single bin\n\t (GH2070)\n Fix buggy interaction with usecols argument in read_csv when there is\n\t an implicit first index column (GH2654)\n" module: pkgsrc subject: 'CVS commit: pkgsrc/math/py-pandas' unixtime: '1360972939' user: bad