. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 Python Module Index 285 Python Module Index 287 Index 289 iii iv pandas: powerful Python data analysis toolkit, Release Pickling and serialization All pandas objects are equipped with save methods which use Python’s cPickle module to save data structures to disk using the pickle format. In [149]: df Out[149]: a b c d 0 -0.4554712 6.11 Console Output Formatting Use the set_eng_float_format function in the pandas.core.common module to alter the floating-point formatting of pandas objects to produce a particular format. For instance:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268 Python Module Index 269 Python Module Index 271 Index 273 iii iv pandas: powerful Python data analysis toolkit, Release Pickling and serialization All pandas objects are equipped with save methods which use Python’s cPickle module to save data structures to disk using the pickle format. In [149]: df Out[149]: a b c d 0 1.159659 6.11 Console Output Formatting Use the set_eng_float_format function in the pandas.core.common module to alter the floating-point formatting of pandas objects to produce a particular format. For instance:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Python Module Index 271 Python Module Index 273 Index 275 iii iv pandas: powerful Python data analysis toolkit, Release Pickling and serialization All pandas objects are equipped with save methods which use Python’s cPickle module to save data structures to disk using the pickle format. In [149]: df Out[149]: a b c d 0 -1.678 6.11 Console Output Formatting Use the set_eng_float_format function in the pandas.core.common module to alter the floating-point formatting of pandas objects to produce a particular format. For instance:

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . 3206 Bibliography 3209 Python Module Index 3211 xi xii pandas: powerful Python data analysis toolkit, Release 1.1.1 Date: Aug 20, the date parsing functionality in date_converters.py and add your own. We would love to turn this module into a community supported set of date/time parsers. To get you started, date_converters.py contains ------------ ParserError Traceback (most recent call last) in <module> ----> 1 pd.read_csv(StringIO(data)) /pandas-release/pandas/pandas/io/parsers.py in read_csv(filepath_or_buffer

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . 3204 Bibliography 3207 Python Module Index 3209 xi xii pandas: powerful Python data analysis toolkit, Release 1.1.0 Date: Jul 28, the date parsing functionality in date_converters.py and add your own. We would love to turn this module into a community supported set of date/time parsers. To get you started, date_converters.py contains ------------ ParserError Traceback (most recent call last) in <module> ----> 1 pd.read_csv(StringIO(data)) /pandas/pandas/io/parsers.py in read_csv(filepath_or_buffer

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . 3068 Bibliography 3071 Python Module Index 3073 xi xii pandas: powerful Python data analysis toolkit, Release 1.0.5 Date: Jun 17, the date parsing functionality in date_converters.py and add your own. We would love to turn this module into a community supported set of date/time parsers. To get you started, date_converters.py contains ------------ ParserError Traceback (most recent call last) in <module> ----> 1 pd.read_csv(StringIO(data)) /pandas-release/pandas/pandas/io/parsers.py in parser_f(filepath_or_buffer

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . 3063 Bibliography 3065 Python Module Index 3067 xi xii pandas: powerful Python data analysis toolkit, Release 1.0.4 Date: May 28, the date parsing functionality in date_converters.py and add your own. We would love to turn this module into a community supported set of date/time parsers. To get you started, date_converters.py contains ------------ ParserError Traceback (most recent call last) in <module> ----> 1 pd.read_csv(StringIO(data)) /pandas/pandas/io/parsers.py in parser_f(filepath_or_buffer

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . 3049 Bibliography 3051 Python Module Index 3053 xi xii pandas: powerful Python data analysis toolkit, Release 1.0.3 Date: Mar 18, the date parsing functionality in date_converters.py and add your own. We would love to turn this module into a community supported set of date/time parsers. To get you started, date_converters.py contains ------------ ParserError Traceback (most recent call last) in <module> ----> 1 pd.read_csv(StringIO(data)) /pandas/pandas/io/parsers.py in parser_f(filepath_or_buffer

(September 25 - October 9, 2011) . . . . . . . . . . . . . . . . 3293 Bibliography 3295 Python Module Index 3297 xii pandas: powerful Python data analysis toolkit, Release 1.2.0 Date: Dec 26, 2020 ------------ ParserError Traceback (most recent call last) in <module> ----> 1 pd.read_csv(StringIO(data)) /pandas/pandas/io/parsers.py in read_csv(filepath_or_buffer delimited (not necessarily comma-separated) files, as pandas uses the csv. Sniffer class of the csv module. For this, you have to specify sep=None. In [189]: print(open("tmp2.sv").read()) :0:1:2:3 0:0.4691122999071863:-0

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1209 Python Module Index 1211 vi pandas: powerful Python data analysis toolkit, Release 0.13.1 PDF Version Zipped 103333 11 -50.125000 48.861228 94.996428 12 -50.332258 42.286879 94.396774 Warning: To use this module, you will need a BigQuery account. See for details Warning: You may have to install an older version of BeautifulSoup4, See the installation docs • Added module for reading and writing Stata files: pandas.io.stata (GH1512) accessable via read_stata top-level