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  • pdf文档 pandas: powerful Python data analysis toolkit - 0.25

    a development environment if you wish to create a pandas development environment. 2.3 Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base >= 3.58, then run: >>> pd.test() running: pytest --skip-slow --skip-network C:\Users\TP\Anaconda3\envs\py36\lib\site- �→packages\pandas ============================= test session starts ============================= ==================== 12130 passed, 12 skipped in 368.339 seconds ===================== 2.3. Running the test suite 7 pandas: powerful Python data analysis toolkit, Release 0.25.3 2.4 Dependencies Package
    0 码力 | 698 页 | 4.91 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.3

    . . . . . . . . . . . . 2728 4.4.6 Test-driven development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2728 ix 4.4.7 Running the test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2732 4.4.8 Running the performance test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2733 4.4.9 Documenting your code . . . . . . Subclassing pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2741 4.8 Test organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
    0 码力 | 3603 页 | 14.65 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.4

    . . . . . . . . . . . . 2728 4.4.6 Test-driven development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2728 ix 4.4.7 Running the test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2732 4.4.8 Running the performance test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2733 4.4.9 Documenting your code . . . . . . Subclassing pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2741 4.8 Test organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
    0 码力 | 3605 页 | 14.68 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.2

    . . . . . . . . . . . . 2648 4.4.6 Test-driven development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2649 ix 4.4.7 Running the test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2653 4.4.8 Running the performance test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2654 4.4.9 Documenting your code . . . . . . Subclassing pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2662 4.8 Test organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
    0 码力 | 3509 页 | 14.01 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.2.3

    Subclassing pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2519 4.5 Test organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . creating a development environment if you wish to create a pandas development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base >= 3.58, then run: >>> pd.test() running: pytest --skip-slow --skip-network C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts =============================
    0 码力 | 3323 页 | 12.74 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.2.0

    Subclassing pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2513 4.5 Test organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . creating a development environment if you wish to create a pandas development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base >= 3.58, then run: >>> pd.test() running: pytest --skip-slow --skip-network C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts =============================
    0 码力 | 3313 页 | 10.91 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.4.2

    . . . . . . . . . . . . 2820 4.4.6 Test-driven development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2821 ix 4.4.7 Running the test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2825 4.4.8 Running the performance test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2826 4.4.9 Documenting your code . . . . . . Subclassing pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2834 4.8 Test organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
    0 码力 | 3739 页 | 15.24 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.4.4

    . . . . . . . . . . . . 2822 4.4.6 Test-driven development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2823 ix 4.4.7 Running the test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2827 4.4.8 Running the performance test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2828 4.4.9 Documenting your code . . . . . . Subclassing pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2836 4.8 Test organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
    0 码力 | 3743 页 | 15.26 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.0.0

    pandas: powerful Python data analysis toolkit, Release 1.0.0 1.9 Bug fixes 1.9.1 Categorical • Added test to assert the fillna() raises the correct ValueError message when the value isn’t a value from categories searchsorted() and CategoricalIndex.searchsorted() now work on un- ordered categoricals also (GH21667) • Added test to assert roundtripping to parquet with DataFrame.to_parquet() or read_parquet() will preserve Categorical development environment if you wish to create a pandas development environment. 2.1.3 Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base
    0 码力 | 3015 页 | 10.78 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.5.0rc0

    function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2954 3.16.4 Test suite runner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2954 . . . . . . . . . . . . . 2990 4.4.7 Test-driven development . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2991 4.4.8 Running the test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2997 4.4.9 Running the performance test suite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2998 4.4.10 Documenting your code . . . . . .
    0 码力 | 3943 页 | 15.73 MB | 1 年前
    3
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