com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive See V0.13.1 Bug Fixes for an extensive list of bugs that have been fixed in 0.13.1. See the full release notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug pandas.compat. pandas.compat now includes many functions allowing 2/3 compatibility. It contains both list and itera- tor versions of range, filter, map and zip, plus other necessary elements for Python 3

com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive axis (e.g. an empty DataFrame being returned) In [1]: dfl = DataFrame(np.random.randn(5,2),columns=list(’AB’)) In [2]: dfl Out[2]: A B 0 1.474071 -0.064034 1 -1.282782 0.781836 2 -1.071357 0.441153 pairwise covariances and correlations in the docs. In [16]: df = DataFrame(np.random.randn(10,4),columns=list(’ABCD’)) In [17]: covs = rolling_cov(df[[’A’,’B’,’C’]], df[[’B’,’C’,’D’]], 5, pairwise=True) In

Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 11.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive and the parsed data is a different data type (GH8833) • Bug in slicing a multi-index with an empty list and at least one boolean indexer (GH8781) • io.data.Options now raises RemoteDataError when no expiry

Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 11.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive expiry is saved as calls and puts. New features: – The expiry parameter can now be a single date or a list-like object containing dates. – A new property expiry_dates was added, which returns all available

of all-NaN or empty Series/DataFrames is now consistently NaN . . . . 15 1.2.2.3 Indexing with a list with missing labels is Deprecated . . . . . . . . . . . . . . . . 16 1.2.2.4 NA naming Changes . or record array . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495 8.2.4 From a list of dicts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 496 8.2.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 628 12.9 Indexing with list with missing labels is Deprecated . . . . . . . . . . . . . . . . . . . . . . . . . . 629 12.9.1

Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 12.5 List of Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive header=False) TypeError: Passing a bool to header is invalid. Use header=None for no header or header=int or list-like of ints to specify the row(s) making up the column names 1.1. v0.17.0 (October 9, 2015) 21

or record array . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467 8.2.4 From a list of dicts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 468 8.2.5 . . . . . . . . . . . . . . . . . . . . . . . . . 617 12.15.5 Special use of the == operator with list objects . . . . . . . . . . . . . . . . . . . . . . . 619 12.15.6 Boolean Operators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1153 31.4.2 melt.list . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1153 31.4.3 melt

HTML Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures API changes 17 pandas: powerful Python data analysis toolkit, Release 1.0.0 • Added to the list of default NA values for read_csv() (GH30821) 1.5.15 Documentation Improvements • Added new section DataFrameGroupBy object, passing individual keys (or a tuple of keys) inside single brackets is deprecated, a list of items should be used instead. (GH23566) For example: df = pd.DataFrame({ "A": ["foo", "bar",

deprecated . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362 2.5.9 Indexing with list with missing labels is deprecated . . . . . . . . . . . . . . . . . . . . . . 363 2.5.10 Selecting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 494 2.8.11 Exploding a list-like column . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497 2.9 Working with HTML Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures

HTML Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures 1.2 Groupby Aggregation with multiple lambdas You can now provide multiple lambda functions to a list-like aggregation in pandas.core.groupby.GroupBy. agg (GH26430). In [6]: animals.groupby('kind').height Series.explode to split list-like values to rows Series and DataFrame have gained the DataFrame.explode() methods to transform list-likes to individual rows. See section on Exploding list-like column in docs