pandas: powerful Python data analysis toolkit - 0.7.3read_csv(StringIO(lines), index_col=0, parse_dates=True)[::-1] 136 /Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/urllib.pyc in urlopen(url, data, proxies) 84 opener = _urlopener 85 return opener.open(url) 87 else: 88 return opener.open(url, data) /Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/urllib.pyc in open(self, fullurl, data) 205 try: 206 if data is None: getattr(self, name)(url) 208 else: 209 return getattr(self, name)(url, data) /Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/urllib.pyc in open_http(self, url, data) 342 if realhost: h.putheader(’Host’0 码力 | 297 页 | 1.92 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.323 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). 1.3.4 Deprecations Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.223 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). 1.2.4 Deprecations Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.123 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). 1.5.4 Deprecations Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test0 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.0pass Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test 23 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). 6.7. Version0 码力 | 3015 页 | 10.78 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.0pass Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test 23 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). Deprecations0 码力 | 2827 页 | 9.62 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.1pass Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test 23 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). Deprecations0 码力 | 2833 页 | 9.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0pass Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test 23 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). 2682 Chapter0 码力 | 3091 页 | 10.16 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.4pass Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test 23 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). 5.7. Version0 码力 | 3081 页 | 10.24 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.1pass Going forward, we are moving to a more functional style using the pytest framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test 23 version of cython to avoid problems with character encodings (GH14699) • Switched the test framework to use pytest (GH13097) • Reorganization of tests directory layout (GH14854, GH15707). 2822 Chapter0 码力 | 3231 页 | 10.87 MB | 1 年前3
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