pandas: powerful Python data analysis toolkit - 0.7.1pandas namespace. They all take the following arguments to specify either a static (full sample) or dynamic (moving window) regression: • window_type: ’full sample’ (default), ’expanding’, or rolling • window: nan, 0.606 , 1.3342]) 16.2 SparseList SparseList is a list-like data structure for managing a dynamic collection of SparseArrays. To create one, simply call the SparseList constructor with a fill_value0 码力 | 281 页 | 1.45 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.2pandas namespace. They all take the following arguments to specify either a static (full sample) or dynamic (moving window) regression: • window_type: ’full sample’ (default), ’expanding’, or rolling • window: nan, 0.606 , 1.3342]) 16.2 SparseList SparseList is a list-like data structure for managing a dynamic collection of SparseArrays. To create one, simply call the SparseList constructor with a fill_value0 码力 | 283 页 | 1.45 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.3pandas namespace. They all take the following arguments to specify either a static (full sample) or dynamic (moving window) regression: • window_type: ’full sample’ (default), ’expanding’, or rolling • window: nan, 0.606 , 1.3342]) 16.2 SparseList SparseList is a list-like data structure for managing a dynamic collection of SparseArrays. To create one, simply call the SparseList constructor with a fill_value0 码力 | 297 页 | 1.92 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.17.0argument accepts a string or list of mixed two or three character ISO country codes, as well as dynamic World Bank exceptions to the ISO standards. For a list of the the hard-coded country codes (used 3 Problematic Country Codes & Indicators Note: The World Bank’s country list and indicators are dynamic. As of 0.15.1, wb.download() is more flexible. To achieve this, the warning and exception logic changed checked. 26.2 Using numba A recent alternative to statically compiling cython code, is to use a dynamic jit-compiler, numba. Numba gives you the power to speed up your applications with high performance0 码力 | 1787 页 | 10.76 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15argument accepts a string or list of mixed two or three character ISO country codes, as well as dynamic World Bank exceptions to the ISO standards. For a list of the the hard-coded country codes (used 3 Problematic Country Codes & Indicators Note: The World Bank’s country list and indicators are dynamic. As of 0.15.1, wb.download() is more flexible. To achieve this, the warning and exception logic changed nan, 0.606 , 1.3342]) 26.2 SparseList SparseList is a list-like data structure for managing a dynamic collection of SparseArrays. To create one, simply call the SparseList constructor with a fill_value0 码力 | 1579 页 | 9.15 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.15.1argument accepts a string or list of mixed two or three character ISO country codes, as well as dynamic World Bank exceptions to the ISO standards. For a list of the the hard-coded country codes (used 3 Problematic Country Codes & Indicators Note: The World Bank’s country list and indicators are dynamic. As of 0.15.1, wb.download() is more flexible. To achieve this, the warning and exception logic changed nan, 0.606 , 1.3342]) 26.2 SparseList SparseList is a list-like data structure for managing a dynamic collection of SparseArrays. To create one, simply call the SparseList constructor with a fill_value0 码力 | 1557 页 | 9.10 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.5.0rc0directives. Numba (JIT compilation) An alternative to statically compiling Cython code is to use a dynamic just-in-time (JIT) compiler with Numba. Numba allows you to write a pure Python function which can styling function that highlights the final level of a MultiIndex. The number of levels in the Index is dynamic so we need the Styler context to define the level. >>> def highlight_last_level(styler): ... return (styler, level): ... def dynamic_highlight(s): ... return np.where( ... styler.data.isna().any(), "background-color: red;", "" ... ) ... return styler.apply_index(dynamic_highlight, axis=1, level=level)0 码力 | 3943 页 | 15.73 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.12nan, 0.606 , 1.3342]) 20.2 SparseList SparseList is a list-like data structure for managing a dynamic collection of SparseArrays. To create one, simply call the SparseList constructor with a fill_value0 码力 | 657 页 | 3.58 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.13.1nan, 0.606 , 1.3342]) 22.2 SparseList SparseList is a list-like data structure for managing a dynamic collection of SparseArrays. To create one, simply call the SparseList constructor with a fill_value0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.01.0.0 3.18.2 Using Numba A recent alternative to statically compiling Cython code, is to use a dynamic jit-compiler, Numba. Numba gives you the power to speed up your applications with high performance code samples, using either colon or period. Rewrote some sentences for greater clarity, added more dynamic references to functions, methods and classes. (GH18941, GH18948, GH18973, GH19017) • Added a reference0 码力 | 3015 页 | 10.78 MB | 1 年前3
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