Guides 847 pandas: powerful Python data analysis toolkit, Release 1.5.0rc0 Timestamp and Period can serve as an index. Lists of Timestamp and Period are automatically coerced to DatetimeIndex and PeriodIndex have a cron job on our docs server to pull from https://github.com/tomaugspurger/asv-collection, to serve them from /speed. Ask Tom or Joris for access to the webserver. Debugging The benchmarks are scheduled developers of pandas itself. 4.6.1 Indexing In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of

specifics of how things are implemented. In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of

specifics of how things are implemented. In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of

specifics of how things are implemented. In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of

User Guide pandas: powerful Python data analysis toolkit, Release 1.3.3 Timestamp and Period can serve as an index. Lists of Timestamp and Period are automatically coerced to DatetimeIndex and PeriodIndex developers of pandas itself. 4.7.1 Indexing In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of Added test to assert roundtripping to parquet with DataFrame.to_parquet() or read_parquet() will pre- serve Categorical dtypes for string types (GH27955) • Changed the error message in Categorical.remove_categories()

functionality 837 pandas: powerful Python data analysis toolkit, Release 1.3.4 Timestamp and Period can serve as an index. Lists of Timestamp and Period are automatically coerced to DatetimeIndex and PeriodIndex developers of pandas itself. 4.7.1 Indexing In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of Added test to assert roundtripping to parquet with DataFrame.to_parquet() or read_parquet() will pre- serve Categorical dtypes for string types (GH27955) • Changed the error message in Categorical.remove_categories()

[32]: pd.Period('2012-05', freq='D') Out[32]: Period('2012-05-01', 'D') Timestamp and Period can serve as an index. Lists of Timestamp and Period are automatically coerced to DatetimeIndex and PeriodIndex preserve key order. • right: use only keys from right frame, similar to a SQL right outer join; pre- serve key order. • outer: use union of keys from both frames, similar to a SQL full outer join; sort keys developers of pandas itself. 5.4.1 Indexing In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of

freq='D') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\Out[32]: Period('2012-05-01', 'D') Timestamp and Period can serve as an index. Lists of Timestamp and Period are automatically coerced to DatetimeIndex and PeriodIndex lexicographically. • inner: use intersection of keys from both frames, similar to a SQL inner join; pre- serve the order of the left keys. on [label or list] Column or index level names to join on. These must developers of pandas itself. 7.2.1 Indexing In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of

freq='D') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\Out[32]: Period('2012-05-01', 'D') Timestamp and Period can serve as an index. Lists of Timestamp and Period are automatically coerced to DatetimeIndex and PeriodIndex lexicographically. • inner: use intersection of keys from both frames, similar to a SQL inner join; pre- serve the order of the left keys. on [label or list] Column or index level names to join on. These must developers of pandas itself. 7.2.1 Indexing In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of

User Guide pandas: powerful Python data analysis toolkit, Release 1.4.2 Timestamp and Period can serve as an index. Lists of Timestamp and Period are automatically coerced to DatetimeIndex and PeriodIndex developers of pandas itself. 4.7.1 Indexing In pandas there are a few objects implemented which can serve as valid containers for the axis labels: • Index: the generic “ordered set” object, an ndarray of Added test to assert roundtripping to parquet with DataFrame.to_parquet() or read_parquet() will pre- serve Categorical dtypes for string types (GH27955) • Changed the error message in Categorical.remove_categories()