. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222 2 User Guide 225 2.1 IO tools (text, CSV, HDF5, ...) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . start with 10min. Further information on any specific method can be obtained in the API reference. 2.1 IO tools (text, CSV, HDF5, . . . ) The pandas I/O API is a set of top level reader functions accessed Values to consider as False. skipinitialspace [boolean, default False] Skip spaces after delimiter. 2.1. IO tools (text, CSV, HDF5, . . . ) 227 pandas: powerful Python data analysis toolkit, Release 1.0

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222 2 User Guide 225 2.1 IO tools (text, CSV, HDF5, ...) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . start with 10min. Further information on any specific method can be obtained in the API reference. 2.1 IO tools (text, CSV, HDF5, . . . ) The pandas I/O API is a set of top level reader functions accessed Values to consider as False. skipinitialspace [boolean, default False] Skip spaces after delimiter. 2.1. IO tools (text, CSV, HDF5, . . . ) 227 pandas: powerful Python data analysis toolkit, Release 1.0

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 2 User Guide 149 2.1 10 minutes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . functionality. Further information on any specific method can be obtained in the API reference. 2.1 10 minutes to pandas This is a short introduction to pandas, geared mainly for new users. You can to_numpy() gives a NumPy representation of the underlying data. Note that this can be an expensive 2.1. 10 minutes to pandas 151 pandas: powerful Python data analysis toolkit, Release 1.3.3 operation

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 2 User Guide 149 2.1 10 minutes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . functionality. Further information on any specific method can be obtained in the API reference. 2.1 10 minutes to pandas This is a short introduction to pandas, geared mainly for new users. You can to_numpy() gives a NumPy representation of the underlying data. Note that this can be an expensive 2.1. 10 minutes to pandas 151 pandas: powerful Python data analysis toolkit, Release 1.3.4 operation

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 95 2 Installation 97 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . int64 In float indexes, slicing using floats are allowed In [37]: s[2.1:4.6] Out[37]: 3.0 2 4.5 3 dtype: int64 In [38]: s.loc[2.1:4.6] Out[38]: 3.0 2 4.5 3 dtype: int64 • Indexing on other index df = DataFrame({’A’: [1, 2.1, np.nan, 4.7, 5.6, 6.8], .....: ’B’: [.25, np.nan, np.nan, 4, 12.2, 14.4]}) .....: In [101]: df.interpolate() Out[101]: A B 0 1.0 0.25 1 2.1 1.50 2 3.4 2.75 3 4.7 4

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 2 Installation 371 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . computation back-end for pandas because of some buggy behavior. This does not affect other versions (>= 2.1 and >= 2.4.6). (GH12489) Highlights include: • Moving and expanding window functions are now methods Refactoring – dropping support for PyTables less than version 3.0.0, and numexpr less than version 2.1 (GH7990) – Split indexing documentation into Indexing and Selecting Data and MultiIndex / Advanced

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367 2 Installation 369 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . computation back-end for pandas because of some buggy behavior. This does not affect other versions (>= 2.1 and >= 2.4.6). (GH12489) Highlights include: • Moving and expanding window functions are now methods Refactoring – dropping support for PyTables less than version 3.0.0, and numexpr less than version 2.1 (GH7990) – Split indexing documentation into Indexing and Selecting Data and MultiIndex / Advanced

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 2 User Guide 145 2.1 10 minutes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . functionality. Further information on any specific method can be obtained in the API reference. 2.1 10 minutes to pandas This is a short introduction to pandas, geared mainly for new users. You can the DataFrame. This may end up being object, which requires casting every value to a Python object. 2.1. 10 minutes to pandas 147 pandas: powerful Python data analysis toolkit, Release 1.3.2 For df, our

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 2 Installation 399 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . computation back-end for pandas because of some buggy behavior. This does not affect other versions (>= 2.1 and >= 2.4.6). (GH12489) Highlights include: • Moving and expanding window functions are now methods Refactoring – dropping support for PyTables less than version 3.0.0, and numexpr less than version 2.1 (GH7990) – Split indexing documentation into Indexing and Selecting Data and MultiIndex / Advanced

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 166 2 Installation 169 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Refactoring – dropping support for PyTables less than version 3.0.0, and numexpr less than version 2.1 (GH7990) – Split indexing documentation into Indexing and Selecting Data and MultiIndex / Advanced allowed In [37]: s[2.1:4.6] Out[37]: 3.0 2 4.5 3 1.7. v0.13.0 (January 3, 2014) 87 pandas: powerful Python data analysis toolkit, Release 0.15.2 dtype: int64 In [38]: s.loc[2.1:4.6] Out[38]: 3.0 2