. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3556 5.21.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3556 5.21.2 Version 0.9.0 (October All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.3.4 (continued 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ␣ ˓→female 58.0 0 0 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ␣ ˓→male 39.0 1 5 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3462 5.21.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3462 5.21.2 Version 0.9.0 (October contributors. Redistribution and use in source and binary forms, with or without (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.3.2 (continued Timothy J ˓→... 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ˓→... 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ˓→... 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary D Kingcome)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3554 5.21.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3554 5.21.2 Version 0.9.0 (October All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.3.3 (continued 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ␣ ˓→female ... 0 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ␣ ˓→male ... 5 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3264 5.20.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3264 5.20.2 Version 0.9.0 (October textual data. In spreadsheet software, the table representation of our data would look very similar: 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.2.0 Each column 0 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ˓→female ... 0 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ˓→ male ... 5 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3276 5.20.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3276 5.20.2 Version 0.9.0 (October textual data. In spreadsheet software, the table representation of our data would look very similar: 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.2.3 Each column Timothy J ˓→... 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ˓→... 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ˓→... 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary D Kingcome)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3691 5.22.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3691 5.22.2 Version 0.9.0 (October All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.4.2 (continued 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ␣ ˓→female ... 0 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ␣ ˓→male ... 5 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3696 5.22.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3696 5.22.2 Version 0.9.0 (October All rights reserved. Copyright (c) 2011-2021, Open source contributors. (continues on next page) 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.4.4 (continued 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ␣ ˓→female ... 0 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ␣ ˓→male ... 5 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3899 5.23.1 Version 0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3899 5.23.2 Version 0.9.0 (October Tracker. If you have a general question, pandas community experts can answer through Stack Overflow. 14 Chapter 1. Getting started pandas: powerful Python data analysis toolkit, Release 1.5.0rc0 Community 17463 51.8625 E46 S 11 12 1 1 Bonnell, Miss. Elizabeth ␣ ˓→female ... 0 113783 26.5500 C103 S 13 14 0 3 Andersson, Mr. Anders Johan ␣ ˓→male ... 5 347082 31.2750 NaN S 15 16 1 2 Hewlett, Mrs. (Mary

float64 Creating a DataFrame by passing a NumPy array, with a datetime index and labeled columns: 14 Chapter 3. Getting started pandas: powerful Python data analysis toolkit, Release 0.25.3 In [5]: 509859 -2.769586 1.000521 -0.865748 2013-01-05 0.139488 -0.259328 1.082034 -0.902452 In [14]: df.tail(3) Out[14]: A B C D 2013-01-04 0.509859 -2.769586 1.000521 -0.865748 2013-01-05 0.139488 -0.259328 been converted to UTC and the time- zone discarded Timezones may be preserved with dtype=object In [14]: ser = pd.Series(pd.date_range('2000', periods=2, tz="CET")) In [15]: ser.to_numpy(dtype=object)

13 1.2.1.9 Table Schema Output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.2.1.10 SciPy sparse matrix from/to SparseDataFrame . . . . . . . . . . . . . . . . . . . . 15 1 (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 1.24 v0.9.1 (November 14, 2012) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 1.24.1 New Indexing potentially changes underlying Series dtype . . . . . . . . . . . . . . . . . . . . . 664 xiii 14 Computational tools 667 14.1 Statistical Functions . . . . . . . . . . . . . . . . . . . . . . .