------------------------------------------------------------------- Thu Mar 30 15:00:41 UTC 2017 - toddrme2178@gmail.com - update to version 0.19.2: * Enhancements The pd.merge_asof(), added in 0.19.0, gained some improvements: + pd.merge_asof() gained left_index/right_index and left_by/right_by arguments (GH14253) + pd.merge_asof() can take multiple columns in by parameter and has specialized dtypes for better performace (GH13936) * Performance Improvements + Performance regression with PeriodIndex (GH14822) + Performance regression in indexing with getitem (GH14930) + Improved performance of .replace() (GH12745) + Improved performance Series creation with a datetime index and dictionary data (GH14894) * Bug Fixes + Compat with python 3.6 for pickling of some offsets (GH14685) + Compat with python 3.6 for some indexing exception types (GH14684, GH14689) + Compat with python 3.6 for deprecation warnings in the test suite (GH14681) + Compat with python 3.6 for Timestamp pickles (GH14689) + Compat with dateutil==2.6.0; segfault reported in the testing suite (GH14621) + Allow nanoseconds in Timestamp.replace as a kwarg (GH14621) + Bug in pd.read_csv in which aliasing was being done for na_values when passed in as a dictionary (GH14203) + Bug in pd.read_csv in which column indices for a dict-like na_values were not being respected (GH14203) + Bug in pd.read_csv where reading files fails, if the number of headers is equal to the number of lines in the file (GH14515) + Bug in pd.read_csv for the Python engine in which an unhelpful error message was being raised when multi-char delimiters were not being respected with quotes (GH14582) + Fix bugs (GH14734, GH13654) in pd.read_sas and pandas.io.sas.sas7bdat.SAS7BDATReader that caused problems when reading a SAS file incrementally. + Bug in pd.read_csv for the Python engine in which an unhelpful error message was being raised when skipfooter was not being respected by Python’s CSV library (GH13879) + Bug in .fillna() in which timezone aware datetime64 values were incorrectly rounded (GH14872) + Bug in .groupby(..., sort=True) of a non-lexsorted MultiIndex when grouping with multiple levels (GH14776) + Bug in pd.cut with negative values and a single bin (GH14652) + Bug in pd.to_numeric where a 0 was not unsigned on a downcast='unsigned' argument (GH14401) + Bug in plotting regular and irregular timeseries using shared axes (sharex=True or ax.twinx()) (GH13341, GH14322). + Bug in not propogating exceptions in parsing invalid datetimes, noted in python 3.6 (GH14561) + Bug in resampling a DatetimeIndex in local TZ, covering a DST change, which would raise AmbiguousTimeError (GH14682) + Bug in indexing that transformed RecursionError into KeyError or IndexingError (GH14554) + Bug in HDFStore when writing a MultiIndex when using data_columns=True (GH14435) + Bug in HDFStore.append() when writing a Series and passing a min_itemsize argument containing a value for the index (GH11412) + Bug when writing to a HDFStore in table format with a min_itemsize value for the index and without asking to append (GH10381) + Bug in Series.groupby.nunique() raising an IndexError for an empty Series (GH12553) + Bug in DataFrame.nlargest and DataFrame.nsmallest when the index had duplicate values (GH13412) + Bug in clipboard functions on linux with python2 with unicode and separators (GH13747) + Bug in clipboard functions on Windows 10 and python 3 (GH14362, GH12807) + Bug in .to_clipboard() and Excel compat (GH12529) + Bug in DataFrame.combine_first() for integer columns (GH14687). + Bug in pd.read_csv() in which the dtype parameter was not being respected for empty data (GH14712) + Bug in pd.read_csv() in which the nrows parameter was not being respected for large input when using the C engine for parsing (GH7626) + Bug in pd.merge_asof() could not handle timezone-aware DatetimeIndex when a tolerance was specified (GH14844) + Explicit check in to_stata and StataWriter for out-of-range values when writing doubles (GH14618) + Bug in .plot(kind='kde') which did not drop missing values to generate the KDE Plot, instead generating an empty plot. (GH14821) + Bug in unstack() if called with a list of column(s) as an argument, regardless of the dtypes of all columns, they get coerced to object (GH11847) - update to version 0.19.1: * Performance Improvements + Fixed performance regression in factorization of Period data (GH14338) + Fixed performance regression in Series.asof(where) when where is a scalar (GH14461) + Improved performance in DataFrame.asof(where) when where is a scalar (GH14461) + Improved performance in .to_json() when lines=True (GH14408) + Improved performance in certain types of loc indexing with a MultiIndex (GH14551). * Bug Fixes + Source installs from PyPI will now again work without cython installed, as in previous versions (GH14204) + Compat with Cython 0.25 for building (GH14496) + Fixed regression where user-provided file handles were closed in read_csv (c engine) (GH14418). + Fixed regression in DataFrame.quantile when missing values where present in some columns (GH14357). + Fixed regression in Index.difference where the freq of a DatetimeIndex was incorrectly set (GH14323) + Added back pandas.core.common.array_equivalent with a deprecation warning (GH14555). + Bug in pd.read_csv for the C engine in which quotation marks were improperly parsed in skipped rows (GH14459) + Bug in pd.read_csv for Python 2.x in which Unicode quote characters were no longer being respected (GH14477) + Fixed regression in Index.append when categorical indices were appended (GH14545). + Fixed regression in pd.DataFrame where constructor fails when given dict with None value (GH14381) + Fixed regression in DatetimeIndex._maybe_cast_slice_bound when index is empty (GH14354). + Bug in localizing an ambiguous timezone when a boolean is passed (GH14402) + Bug in TimedeltaIndex addition with a Datetime-like object where addition overflow in the negative direction was not being caught (GH14068, GH14453) + Bug in string indexing against data with object Index may raise AttributeError (GH14424) + Corrrecly raise ValueError on empty input to pd.eval() and df.query() (GH13139) + Bug in RangeIndex.intersection when result is a empty set (GH14364). + Bug in groupby-transform broadcasting that could cause incorrect dtype coercion (GH14457) + Bug in Series.__setitem__ which allowed mutating read-only arrays (GH14359). + Bug in DataFrame.insert where multiple calls with duplicate columns can fail (GH14291) + pd.merge() will raise ValueError with non-boolean parameters in passed boolean type arguments (GH14434) + Bug in Timestamp where dates very near the minimum (1677-09) could underflow on creation (GH14415) + Bug in pd.concat where names of the keys were not propagated to the resulting MultiIndex (GH14252) + Bug in pd.concat where axis cannot take string parameters 'rows' or 'columns' (GH14369) + Bug in pd.concat with dataframes heterogeneous in length and tuple keys (GH14438) + Bug in MultiIndex.set_levels where illegal level values were still set after raising an error (GH13754) + Bug in DataFrame.to_json where lines=True and a value contained a } character (GH14391) + Bug in df.groupby causing an AttributeError when grouping a single index frame by a column and the index level (:issue`14327`) + Bug in df.groupby where TypeError raised when pd.Grouper(key=...) is passed in a list (GH14334) + Bug in pd.pivot_table may raise TypeError or ValueError when index or columns is not scalar and values is not specified (GH14380) ------------------------------------------------------------------- Mon Mar 27 19:12:32 UTC 2017 - toddrme2178@gmail.com - Fix documentation building ------------------------------------------------------------------- Sun Oct 23 01:32:23 UTC 2016 - toddrme2178@gmail.com - update to version 0.19.0: (long changelog, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-19-0-october-2-2016) * Highlights include: + merge_asof() for asof-style time-series joining + .rolling() is now time-series aware + read_csv() now supports parsing Categorical data + A function union_categorical() has been added for combining categoricals + PeriodIndex now has its own period dtype, and changed to be more consistent with other Index classes + Sparse data structures gained enhanced support of int and bool dtypes + Comparison operations with Series no longer ignores the index, see here for an overview of the API changes. + Introduction of a pandas development API for utility functions + Deprecation of Panel4D and PanelND. We recommend to represent these types of n-dimensional data with the xarray package. + Removal of the previously deprecated modules pandas.io.data, pandas.io.wb, pandas.tools.rplot. - specfile: * require python3-Cython * Split documentation into own subpackage to speed up build. * Remove buildrequires for optional dependencies to speed up build. - Remove unneeded patches: * 0001_disable_experimental_msgpack_big_endian.patch ^ * 0001_respect_byteorder_in_statareader.patch