{{ header }}
.. ipython:: python
:suppress:
from pandas import * # noqa F401, F403
This is a minor bug-fix release in the 0.19.x series and includes some small regression fixes, bug fixes and performance improvements. We recommend that all users upgrade to this version.
Highlights include:
- Compatibility with Python 3.6
- Added a Pandas Cheat Sheet. (:issue:`13202`).
What's new in v0.19.2
The pd.merge_asof()
, added in 0.19.0, gained some improvements:
pd.merge_asof()
gainedleft_index
/right_index
andleft_by
/right_by
arguments (:issue:`14253`)pd.merge_asof()
can take multiple columns inby
parameter and has specialized dtypes for better performance (:issue:`13936`)
- Performance regression with
PeriodIndex
(:issue:`14822`) - Performance regression in indexing with getitem (:issue:`14930`)
- Improved performance of
.replace()
(:issue:`12745`) - Improved performance
Series
creation with a datetime index and dictionary data (:issue:`14894`)
- Compat with python 3.6 for pickling of some offsets (:issue:`14685`)
- Compat with python 3.6 for some indexing exception types (:issue:`14684`, :issue:`14689`)
- Compat with python 3.6 for deprecation warnings in the test suite (:issue:`14681`)
- Compat with python 3.6 for Timestamp pickles (:issue:`14689`)
- Compat with
dateutil==2.6.0
; segfault reported in the testing suite (:issue:`14621`) - Allow
nanoseconds
inTimestamp.replace
as a kwarg (:issue:`14621`) - Bug in
pd.read_csv
in which aliasing was being done forna_values
when passed in as a dictionary (:issue:`14203`) - Bug in
pd.read_csv
in which column indices for a dict-likena_values
were not being respected (:issue:`14203`) - Bug in
pd.read_csv
where reading files fails, if the number of headers is equal to the number of lines in the file (:issue:`14515`) - 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 (:issue:`14582`) - Fix bugs (:issue:`14734`, :issue:`13654`) in
pd.read_sas
andpandas.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 whenskipfooter
was not being respected by Python's CSV library (:issue:`13879`) - Bug in
.fillna()
in which timezone aware datetime64 values were incorrectly rounded (:issue:`14872`) - Bug in
.groupby(..., sort=True)
of a non-lexsorted MultiIndex when grouping with multiple levels (:issue:`14776`) - Bug in
pd.cut
with negative values and a single bin (:issue:`14652`) - Bug in
pd.to_numeric
where a 0 was not unsigned on adowncast='unsigned'
argument (:issue:`14401`) - Bug in plotting regular and irregular timeseries using shared axes
(
sharex=True
orax.twinx()
) (:issue:`13341`, :issue:`14322`). - Bug in not propagating exceptions in parsing invalid datetimes, noted in python 3.6 (:issue:`14561`)
- Bug in resampling a
DatetimeIndex
in local TZ, covering a DST change, which would raiseAmbiguousTimeError
(:issue:`14682`) - Bug in indexing that transformed
RecursionError
intoKeyError
orIndexingError
(:issue:`14554`) - Bug in
HDFStore
when writing aMultiIndex
when usingdata_columns=True
(:issue:`14435`) - Bug in
HDFStore.append()
when writing aSeries
and passing amin_itemsize
argument containing a value for theindex
(:issue:`11412`) - Bug when writing to a
HDFStore
intable
format with amin_itemsize
value for theindex
and without asking to append (:issue:`10381`) - Bug in
Series.groupby.nunique()
raising anIndexError
for an emptySeries
(:issue:`12553`) - Bug in
DataFrame.nlargest
andDataFrame.nsmallest
when the index had duplicate values (:issue:`13412`) - Bug in clipboard functions on linux with python2 with unicode and separators (:issue:`13747`)
- Bug in clipboard functions on Windows 10 and python 3 (:issue:`14362`, :issue:`12807`)
- Bug in
.to_clipboard()
and Excel compat (:issue:`12529`) - Bug in
DataFrame.combine_first()
for integer columns (:issue:`14687`). - Bug in
pd.read_csv()
in which thedtype
parameter was not being respected for empty data (:issue:`14712`) - Bug in
pd.read_csv()
in which thenrows
parameter was not being respected for large input when using the C engine for parsing (:issue:`7626`) - Bug in
pd.merge_asof()
could not handle timezone-aware DatetimeIndex when a tolerance was specified (:issue:`14844`) - Explicit check in
to_stata
andStataWriter
for out-of-range values when writing doubles (:issue:`14618`) - Bug in
.plot(kind='kde')
which did not drop missing values to generate the KDE Plot, instead generating an empty plot. (:issue:`14821`) - Bug in
unstack()
if called with a list of column(s) as an argument, regardless of the dtypes of all columns, they get coerced toobject
(:issue:`11847`)
.. contributors:: v0.19.1..v0.19.2