pandas: powerful Python data analysis toolkit - 0.17.0. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 12.7 Unicode Formatting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . broadcasting, deprecated since 0.8.0, see here • Display format with plain text can optionally align with Unicode East Asian Width, see here • Compatibility with Python 3.5 (GH11097) • Compatibility with matplotlib eval() – Changes to Excel with MultiIndex – Google BigQuery Enhancements – Display Alignment with Unicode East Asian Width – Other enhancements • Backwards incompatible API changes – Changes to sorting0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0set_eng_float_format() (GH395) • Remove force_unicode keyword from DataFrame.to_string(), DataFrame.to_latex(), and DataFrame.to_html(); these function encode in unicode by default (GH2224, GH2225) • Remove and dataset label to be set when creating a file. (GH6545) • pandas.io.gbq now handles reading unicode strings properly. (GH5940) • Holidays Calendars are now available and can be used with the CustomBusinessDay error message when passing a frequency of ‘MS’ in Period construction (GH5332) • Bug in Series.__unicode__ when max_rows=None and the Series has more than 1000 rows. (GH6863) • Bug in groupby.get_group0 码力 | 1349 页 | 7.67 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1provides string methods (from StringMixin). (GH4090, GH4092) • New StringMixin that, given a __unicode__ method, gets python 2 and python 3 compatible string methods (__str__, __bytes__, and __repr__) most use cases (in some cases much faster). There are also many new features: • Much-improved Unicode handling via the encoding option. • Column filtering (usecols) • Dtype specification (dtype argument) example: In [34]: get_option("display.max_rows") Out[34]: 15 • to_string() methods now always return unicode strings (GH2224). 1.6.3 New features 1.6.4 Wide DataFrame Printing Instead of printing the summary0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12provides string methods (from StringMixin). (GH4090, GH4092) • New StringMixin that, given a __unicode__ method, gets python 2 and python 3 compatible string methods (__str__, __bytes__, and __repr__) most use cases (in some cases much faster). There are also many new features: • Much-improved Unicode handling via the encoding option. • Column filtering (usecols) • Dtype specification (dtype argument) For example: In [34]: get_option("display.max_rows") 60 • to_string() methods now always return unicode strings (GH2224). 32 Chapter 1. What’s New pandas: powerful Python data analysis toolkit, Release0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.150-division with a float and integer operand dtypes (GH7785) • Bug in Series.astype("unicode") not calling unicode on the values correctly (GH7758) • Bug in DataFrame.as_matrix() with mixed datetime64[ns] set_eng_float_format() (GH395) • Remove force_unicode keyword from DataFrame.to_string(), DataFrame.to_latex(), and DataFrame.to_html(); these function encode in unicode by default (GH2224, GH2225) • Remove and dataset label to be set when creating a file. (GH6545) • pandas.io.gbq now handles reading unicode strings properly. (GH5940) • Holidays Calendars are now available and can be used with the CustomBusinessDay0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.10-division with a float and integer operand dtypes (GH7785) • Bug in Series.astype("unicode") not calling unicode on the values correctly (GH7758) • Bug in DataFrame.as_matrix() with mixed datetime64[ns] set_eng_float_format() (GH395) • Remove force_unicode keyword from DataFrame.to_string(), DataFrame.to_latex(), and DataFrame.to_html(); these function encode in unicode by default (GH2224, GH2225) • Remove and dataset label to be set when creating a file. (GH6545) • pandas.io.gbq now handles reading unicode strings properly. (GH5940) • Holidays Calendars are now available and can be used with the CustomBusinessDay0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . 152 1.10.1.10 Display Alignment with Unicode East Asian Width . . . . . . . . . . . . . . . . . 153 1.10.1.11 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 580 11.7 Unicode Formatting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1005 24.1.7 Dealing with Unicode Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1006 24.1.8 Index columns0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 1.9.1.10 Display Alignment with Unicode East Asian Width . . . . . . . . . . . . . . . . . 151 1.9.1.11 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578 11.7 Unicode Formatting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1001 24.1.7 Dealing with Unicode Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1002 24.1.8 Index columns0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 1.12.1.10 Display Alignment with Unicode East Asian Width . . . . . . . . . . . . . . . . . 182 1.12.1.11 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 608 11.7 Unicode Formatting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1040 24.1.7 Dealing with Unicode Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1041 24.1.8 Index columns0 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 Display Alignment with Unicode East Asian Width . . . . . . . . . . . . . . . . . . . . . . . 106 Other enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 12.7 Unicode Formatting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 910 25.1.7 Dealing with Unicode Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 911 25.1.8 Index columns0 码力 | 1943 页 | 12.06 MB | 1 年前3
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