pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2681 5 Release notes 2683 5.1 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2683 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from. . . Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2760 5 Release notes 2761 5.1 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2761 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from... Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2760 5 Release notes 2761 5.1 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2761 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from... Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

3.10 Other . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 v0.20.1 (May 5, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (GH16014) 1.2.3.10 Other • Bug in DataFrame.drop() with an empty-list with non-unique indices (GH16270) 1.3 v0.20.1 (May 5, 2017) This is a major release from 0.19.2 and includes a number of API changes, deprecations see here. • The .ix indexer has been deprecated, see here • Panel has been deprecated, see here 1.3. v0.20.1 (May 5, 2017) 7 pandas: powerful Python data analysis toolkit, Release 0.20.3 • Addition

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4.0 (January 22, 2022) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2858 5.2 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2893 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from... Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4.0 (January 22, 2022) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2864 5.2 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2899 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from... Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4.0 (January 22, 2022) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3067 5.3 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3102 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from... Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

(February 3, 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 1.3 v0.13.0 (January 3, 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . notes or issue tracker on GitHub for a complete list of all API changes, Enhancements and Bug Fixes. 1.3 v0.13.0 (January 3, 2014) This is a major release from 0.12.0 and includes a number of API changes translations from R to pandas. • Enhancing Performance, ways to enhance pandas performance with eval/query. 1.3. v0.13.0 (January 3, 2014) 37 pandas: powerful Python data analysis toolkit, Release 0.14.0 Warning:

(November 9, 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.3 v0.15.0 (October 18, 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . invalid (GH8494) • Bug in get_quote_yahoo that wouldn’t allow non-float return values (GH5229). 1.3 v0.15.0 (October 18, 2014) This is a major release from 0.14.1 and includes a small number of API ’e’]}) In [2]: df["grade"] = df["raw_grade"].astype("category") In [3]: df["grade"] Out[3]: 0 a 1.3. v0.15.0 (October 18, 2014) 15 pandas: powerful Python data analysis toolkit, Release 0.15.2 1 b

Fixes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 1.3 v0.18.0 (March 13, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . random.seed(1234) In [2]: df = pd.DataFrame({'A' : range(10), 'B' : np.random.randn(10)}) In [3]: df 1.3. v0.18.0 (March 13, 2016) 61 pandas: powerful Python data analysis toolkit, Release 0.19.0 Out[3]: randn(5)) In [10]: s.rename('newname') Out[10]: 0 1.150036 1 0.991946 2 0.953324 3 -2.021255 1.3. v0.18.0 (March 13, 2016) 63 pandas: powerful Python data analysis toolkit, Release 0.19.0 4 -0.334077