pandas: powerful Python data analysis toolkit - 0.15. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741 24.7 Google Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 743 25 utcfromtimestamp(), fromtimestamp(), and combine() on Timestamp class (GH5351). • Added Google Analytics (pandas.io.ga) basic documentation (GH8835). See here. • Timedelta arithmetic returns NotImplemented plot will scatter plot x versus y by passing kind=’scatter’ (GH2215) • Added support for Google Analytics v3 API segment IDs that also supports v2 IDs. (GH5271) 1.7.9 Experimental • The new eval() function0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855 25.7 Google Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 858 26 utcfromtimestamp(), fromtimestamp(), and combine() on Timestamp class (GH5351). • Added Google Analytics (pandas.io.ga) basic documentation (GH8835). See here. • Timedelta arithmetic returns NotImplemented plot will scatter plot x versus y by passing kind=’scatter’ (GH2215) • Added support for Google Analytics v3 API segment IDs that also supports v2 IDs. (GH5271) 1.11.9 Experimental • The new eval() function0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.0. . . 1005 26.2 Google Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1005 26.2.1 Configuring Access to Google Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1005 26.2.2 Using the Google Analytics API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1006 27 Enhancing Performance 1007 27.1 Cython (Writing C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1087 34.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1087 34.7 Other Considerations0 码力 | 1937 页 | 12.03 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.19.1. . . 1007 26.2 Google Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1007 26.2.1 Configuring Access to Google Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1007 26.2.2 Using the Google Analytics API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008 27 Enhancing Performance 1009 27.1 Cython (Writing C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1089 34.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1089 34.7 Other Considerations0 码力 | 1943 页 | 12.06 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1181 33.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1181 33.7 Other Considerations project. See the R interfacing docs for more details. • The pandas.io.ga module with a google-analytics interface is removed (GH11308). Similar func- tionality can be found in the Google2Pandas package (GH11256) • Bug in pd.read_csv() in which the dialect parameter was not being verified before processing (GH14898) • Bug in pd.read_csv() in which missing data was being improperly handled with usecols0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1179 xxiii 33.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1179 33.7 Other Considerations project. See the R interfacing docs for more details. • The pandas.io.ga module with a google-analytics interface is removed (GH11308). Similar func- tionality can be found in the Google2Pandas package (GH11256) • Bug in pd.read_csv() in which the dialect parameter was not being verified before processing (GH14898) • Bug in pd.read_csv() in which missing data was being improperly handled with usecols0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.21.1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1213 33.4 String Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1213 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1219 33.7.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1220 33.8 Other Considerations project. See the R interfacing docs for more details. • The pandas.io.ga module with a google-analytics interface is removed (GH11308). Similar func- tionality can be found in the Google2Pandas package0 码力 | 2207 页 | 8.59 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1plot will scatter plot x versus y by passing kind=’scatter’ (GH2215) • Added support for Google Analytics v3 API segment IDs that also supports v2 IDs. (GH5271) 1.2.9 Experimental • The new eval() function (cannot be mixed with float64 however) • Fixed Google Analytics prefix when specifying request segment (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup arising from a converter function as NA if passed in the na_values argument. It’s better to do post-processing using the replace function instead. • Calling fillna on Series or DataFrame with no arguments0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.1plot will scatter plot x versus y by passing kind=’scatter’ (GH2215) • Added support for Google Analytics v3 API segment IDs that also supports v2 IDs. (GH5271) 1.6.9 Experimental • The new eval() function (cannot be mixed with float64 however) • Fixed Google Analytics prefix when specifying request segment (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup arising from a converter function as NA if passed in the na_values argument. It’s better to do post-processing using the replace function instead. • Calling fillna on Series or DataFrame with no arguments0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0plot will scatter plot x versus y by passing kind=’scatter’ (GH2215) • Added support for Google Analytics v3 API segment IDs that also supports v2 IDs. (GH5271) 1.3.9 Experimental • The new eval() function (cannot be mixed with float64 however) • Fixed Google Analytics prefix when specifying request segment (GH2713). • Function to reset Google Analytics token store so users can recover from improperly setup arising from a converter function as NA if passed in the na_values argument. It’s better to do post-processing using the replace function instead. • Calling fillna on Series or DataFrame with no arguments0 码力 | 1349 页 | 7.67 MB | 1 年前3
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