Team 20 4.6 License 20 5 Intro to Data Structures 23 5.1 Series 23 5.2 DataFrame 27 5.3 Panel 40 6 Essential basic functionality 43 6.1 Head and Tail 43 6.2 Attributes and the raw ndarray(s) statistics / moments ..... 97 8.3 Exponentially weighted moment functions ..... 101 8.4 Linear and panel regression ..... 102 9 Working with missing data ..... 109 9.1 Missing data basics ..... 109 199 21.1 General functions ..... 199 21.2 Series ..... 214 21.3 DataFrame ..... 236 21.4 Panel ..... 268 Python Module Index ..... 269 Python Module Index ..... 271 Index ..... 273

. . . . . . . . . . . . . . . 152 8.3 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 8.4 Panel4D (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . 746 28.5 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 892 28.6 Panel4D . . . . . . . . . . . . . . . . . . datetimes. • Will intelligently limit display precision for datetime/timedelta formats. • Enhanced Panel apply() method. • Suggested tutorials in new Tutorials section. • Our pandas ecosystem is growing

Team 24 4.6 License 24 5 Intro to Data Structures 27 5.1 Series 27 5.2 DataFrame 31 5.3 Panel 44 6 Essential basic functionality 49 6.1 Head and Tail 49 6.2 Attributes and the raw ndarray(s) statistics / moments ..... 104 8.3 Exponentially weighted moment functions ..... 107 8.4 Linear and panel regression ..... 108 9 Working with missing data ..... 117 9.1 Missing data basics ..... 117 21 API Reference 211 21.1 General functions 211 21.2 Series 226 21.3 DataFrame 248 21.4 Panel 284 Python Module Index 285 Python Module Index 287 Index 289 PDF Version Date: November

Team 20 4.6 License 20 5 Intro to Data Structures 23 5.1 Series 23 5.2 DataFrame 27 5.3 Panel 40 6 Essential basic functionality 43 6.1 Head and Tail 43 6.2 Attributes and the raw ndarray(s) statistics / moments ..... 98 8.3 Exponentially weighted moment functions ..... 101 8.4 Linear and panel regression ..... 102 9 Working with missing data ..... 109 9.1 Missing data basics ..... 109 21 API Reference 199 21.1 General functions 199 21.2 Series 214 21.3 DataFrame 236 21.4 Panel 269 Python Module Index 271 Python Module Index 273 Index 275 PDF Version Date: November

. . . . . . . . . . . . . . 311 9.3 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326 ii 9.4 Panel4D (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . 1180 34.5 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1373 34.6 Panel4D . . . . . . . . . . . . . . . . . . deprecated (note that this has been alias since 0.8.0), (GH10878) • WidePanel deprecated in favor of Panel, LongPanel in favor of DataFrame (note these have been aliases since < 0.11.0), (GH10892) • DataFrame

contracts that have been written. Acquisition Reform and Agile: Section 809 Panel- VADM Joseph W. Dyer ## What is the Section 809 Panel? Congressionally mandated (FY16 NDAA), independent, non-FACA commission acquisition process The Section 809 Panel learned that modernization requirements for defense business systems (DBS) are subject to nine approval layers. Accordingly, the panel recommends giving approval authority DoD's ability to access the best suited information technology solutions when they are needed, the panel recommends eliminating the imposition of Earned Value Management (EVM) when developing software using

. . . . . . . . . . . . . . . 180 8.3 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192 8.4 Panel4D (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . 827 28.5 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 981 28.6 Panel4D . . . . . . . . . . . . . . . . . . Series(1,np.arange(5.))[3.0] Out[6]: 1 • Numpy 1.9 compat w.r.t. deprecation warnings (GH6960) • Panel.shift() now has a function signature that matches DataFrame.shift(). The old posi- tional argument

. . . . . . . . . . . . . . . 250 8.3 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262 8.4 Panel4D (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . 1017 32.5 Panel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1181 32.6 Panel4D . . . . . . . . . . . . . . . . . . [21]: s.any(level=0) Out[21]: 0 True 1 False dtype: bool • Panel now supports the all and any aggregation functions. (GH8302): In [22]: p = pd.Panel(np.random.rand(2, 5, 4) > 0.1) In [23]: p.all() Out[23]:

Intro to Data Structures ..... 237 8.1 Series ..... 237 8.2 DataFrame ..... 242 8.3 Panel ..... 254 8.4 Panel4D (Experimental) ..... 258 8.5 PanelND (Experimental) ..... 260 9 Essential Basic Input/Output 785 32.2 General functions 811 32.3 Series 852 32.4 DataFrame 999 32.5 Panel 1162 32.6 Panel4D 1240 32.7 Index 1286 32.8 DatetimeIndex 1315 32.9 TimedeltaIndex ..... 1344 32.10 operator raising if the first argument was a numpy array scalar (e.g. np.int64) (GH8658) • Bug in Panel indexing with a list-like (GH8710) • Compat issue is DataFrame.dtypes when options.mode.use_inf_as_null

completion ..... 434 9.3 Panel ..... 435 9.3.1 From 3D ndarray with optional axis labels ..... 435 9.3.2 From dict of DataFrame objects ..... 435 9.3.3 From DataFrame using to_panel method ..... 437 / Selection ..... 438 9.3.7 Squeezing ..... 438 9.3.8 Conversion to DataFrame ..... 439 9.4 Panel4D and PanelND (Deprecated) ..... 439 Essential Basic Functionality ..... 441 10.1 Head and Application ..... 461 10.6.3 Applying elementwise Python functions ..... 463 10.6.4 Applying with a Panel ..... 464 10.7 Reindexing and altering labels ..... 467 10.7.1 Reindexing to align with another