. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.3.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.3.2.1 Possible incompatibility for . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.3.2.6 Partial String Indexing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.3.2.7 Concat of different float dtypes Index is more Accurate . . . . . . . . . . . . . . . . . . . . . . 27 1.3.2.10 DataFrame.sort_index changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 1.3.2.11 Groupby Describe Formatting

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.2.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 1.2.2.1 Possible incompatibility for . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.2.6 Partial String Indexing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 1.2.2.7 Concat of different float dtypes is more Accurate . . . . . . . . . . . . . . . . . . . . . . 26 i 1.2.2.10 DataFrame.sort_index changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.2.2.11 Groupby Describe Formatting

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.2 Backwards incompatible API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.2.2.1 Dependencies have increased with a list with missing labels is Deprecated . . . . . . . . . . . . . . . . 16 1.2.2.4 NA naming Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.2.2.5 Iteration of Series/Index Automatic Matplotlib Converters . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.2.14 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.2.3 Deprecations . . .

enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.1.2 API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Series . . . . . . . . . . . . . . . . 21 .to_datetime() changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Merging changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 .describe() changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Period changes . . . . . . . . . . . . . . . . . . . . . . . . . . .

enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.2.2 API changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Series . . . . . . . . . . . . . . . . 23 .to_datetime() changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Merging changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 .describe() changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Period changes . . . . . . . . . . . . . . . . . . . . . . . . . . .

Release 1.0.0 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 1.0.0 (JANUARY 29, 2020) These are the changes in pandas 1.0.0. See release for a full changelog including other versions of pandas. Note: The Deprecations will be enforced in major releases (e.g. 1.0.0, 2.0.0, 3.0.0, ...) • API-breaking changes will be made only in major releases (except for experimental features) See Version Policy for more 2020) pandas: powerful Python data analysis toolkit, Release 1.0.0 1.5 Backwards incompatible API changes 1.5.1 Avoid using names from MultiIndex.levels As part of a larger refactor to MultiIndex the level

guaranteed backwards compatible back to pan- das version 0.20.3 (GH27082) {{ header }} These are the changes in pandas 0.25.0. See release for a full changelog including other versions of pandas. 1.1 Enhancements 2019) pandas: powerful Python data analysis toolkit, Release 0.25.1 1.2 Backwards incompatible API changes 1.2.1 Indexing with date strings with UTC offsets Indexing a DataFrame or Series with a DatetimeIndex : codes=[[0, -1, 1, 2, 3, 4]]) ....: (continues on next page) 1.2. Backwards incompatible API changes 9 pandas: powerful Python data analysis toolkit, Release 0.25.1 (continued from previous page)

guaranteed backwards compatible back to pan- das version 0.20.3 (GH27082) {{ header }} These are the changes in pandas 0.25.0. See release for a full changelog including other versions of pandas. 1.1 Enhancements 2019) pandas: powerful Python data analysis toolkit, Release 0.25.0 1.2 Backwards incompatible API changes 1.2.1 Indexing with date strings with UTC offsets Indexing a DataFrame or Series with a DatetimeIndex : codes=[[0, -1, 1, 2, 3, 4]]) ....: (continues on next page) 1.2. Backwards incompatible API changes 9 pandas: powerful Python data analysis toolkit, Release 0.25.0 (continued from previous page)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2693 4.1.4 Contributing your changes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2694 4.1.5 Tips for a successful pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.4 Previewing changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2720 4.4 Contributing in place operations Most pandas operations return copies of the Series/DataFrame. To make the changes “stick”, you’ll need to either assign to a new variable: sorted_df = df.sort_values("col1") or

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2693 4.1.4 Contributing your changes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2694 4.1.5 Tips for a successful pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.4 Previewing changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2720 4.4 Contributing in place operations Most pandas operations return copies of the Series/DataFrame. To make the changes “stick”, you’ll need to either assign to a new variable: sorted_df = df.sort_values("col1") or