pandas: powerful Python data analysis toolkit - 0.7.1addresses over a dozen bugs in 0.7.0. 1.1.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (#774) • Add itertuples method to DataFrame for iterating / union Index objects, respectively (GH261) • Added pivot_table convenience function to pandas namespace (GH234) • Implemented Panel.rename_axis function (GH243) • DataFrame will show index level names alignment apply across all of the objects. To get started, import numpy and load pandas into your namespace: In [225]: import numpy as np # will use a lot in examples In [226]: randn = np.random.randn0 码力 | 281 页 | 1.45 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.2data analysis toolkit, Release 0.7.2 1.2.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating / union Index objects, respectively (GH261) • Added pivot_table convenience function to pandas namespace (GH234) • Implemented Panel.rename_axis function (GH243) • DataFrame will show index level names alignment apply across all of the objects. To get started, import numpy and load pandas into your namespace: In [225]: import numpy as np # will use a lot in examples In [226]: randn = np.random.randn0 码力 | 283 页 | 1.45 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.3addresses over a dozen bugs in 0.7.0. 1.3.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating / union Index objects, respectively (GH261) • Added pivot_table convenience function to pandas namespace (GH234) • Implemented Panel.rename_axis function (GH243) • DataFrame will show index level names alignment apply across all of the objects. To get started, import numpy and load pandas into your namespace: In [225]: import numpy as np # will use a lot in examples In [226]: randn = np.random.randn0 码力 | 297 页 | 1.92 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12(GH2411) • implement value_vars in melt to limit values to certain columns and add melt to pandas namespace (GH2412) Bug Fixes • added Term method of specifying where conditions (GH1996). • del store[’df’] addresses over a dozen bugs in 0.7.0. 1.11.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating / union Index objects, respectively (GH261) • Added pivot_table convenience function to pandas namespace (GH234) • Implemented Panel.rename_axis function (GH243) • DataFrame will show index level names0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1xcelWriter from pandas.io.parsers (GH3717) These are available as functions in the main pandas namespace (e.g. pd.read_clipboard) • default for tupleize_cols is now False for both to_csv and read_csv (GH2411) • implement value_vars in melt to limit values to certain columns and add melt to pandas namespace (GH2412) Bug Fixes • added Term method of specifying where conditions (GH1996). • del store[’df’] addresses over a dozen bugs in 0.7.0. 1.13.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0xcelWriter from pandas.io.parsers (GH3717) These are available as functions in the main pandas namespace (e.g. pd.read_clipboard) • default for tupleize_cols is now False for both to_csv and read_csv (GH2411) • implement value_vars in melt to limit values to certain columns and add melt to pandas namespace (GH2412) Bug Fixes • added Term method of specifying where conditions (GH1996). • del store[’df’] addresses over a dozen bugs in 0.7.0. 1.14.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating0 码力 | 1349 页 | 7.67 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.3structure and layout of the codebase. This can affect imports that are not from the top-level pandas.* namespace, please see the changes here. Check the API Changes and deprecations before updating. Note: This subpackages are created with public functionality that is not directly exposed in the top-level namespace: pandas.errors, pandas.plotting and pandas.testing (more details below). Together with pandas. api plotting functionality that was previously in either pandas.tools.plotting or in the top-level namespace. See the deprecations sections for more details. 1.3.3.5 Other Development Changes • Building0 码力 | 2045 页 | 9.18 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.20.2structure and layout of the codebase. This can affect imports that are not from the top-level pandas.* namespace, please see the changes here. Check the API Changes and deprecations before updating. Note: This subpackages are created with public functionality that is not directly exposed in the top-level namespace: pandas.errors, pandas.plotting and pandas.testing (more details below). Together with pandas. api plotting functionality that was previously in either pandas.tools.plotting or in the top-level namespace. See the deprecations sections for more details. 1.2.3.5 Other Development Changes • Building0 码力 | 1907 页 | 7.83 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0xcelWriter from pandas.io.parsers (GH3717) These are available as functions in the main pandas namespace (e.g. pd.read_clipboard) • default for tupleize_cols is now False for both to_csv and read_csv (GH2411) • implement value_vars in melt to limit values to certain columns and add melt to pandas namespace (GH2412) Bug Fixes • added Term method of specifying where conditions (GH1996). • del store[’df’] addresses over a dozen bugs in 0.7.0. 1.22.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15xcelWriter from pandas.io.parsers (GH3717) These are available as functions in the main pandas namespace (e.g. pd.read_clipboard) • default for tupleize_cols is now False for both to_csv and read_csv (GH2411) • implement value_vars in melt to limit values to certain columns and add melt to pandas namespace (GH2412) Bug Fixes • added Term method of specifying where conditions (GH1996). • del store[’df’] addresses over a dozen bugs in 0.7.0. 1.18.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating0 码力 | 1579 页 | 9.15 MB | 1 年前3
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