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Python generic.ABCCategoricalIndex方法代码示例

本文整理汇总了Python中pandas.core.dtypes.generic.ABCCategoricalIndex方法的典型用法代码示例。如果您正苦于以下问题：Python generic.ABCCategoricalIndex方法的具体用法？Python generic.ABCCategoricalIndex怎么用？Python generic.ABCCategoricalIndex使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.core.dtypes.generic的用法示例。


在下文中一共展示了generic.ABCCategoricalIndex方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: test_abc_types

# 需要导入模块: from pandas.core.dtypes import generic [as 别名]
# 或者: from pandas.core.dtypes.generic import ABCCategoricalIndex [as 别名]
def test_abc_types(self):
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
        assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
        assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
        assert isinstance(self.multi_index, gt.ABCMultiIndex)
        assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
        assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
        assert isinstance(self.period_index, gt.ABCPeriodIndex)
        assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
        assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
        assert isinstance(self.df, gt.ABCDataFrame)
        with catch_warnings(record=True):
            simplefilter('ignore', FutureWarning)
            assert isinstance(self.df.to_panel(), gt.ABCPanel)
        assert isinstance(self.sparse_series, gt.ABCSparseSeries)
        assert isinstance(self.sparse_array, gt.ABCSparseArray)
        assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
        assert isinstance(self.categorical, gt.ABCCategorical)
        assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)

        assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
        assert isinstance(pd.Period('2012', freq='A-DEC').freq,
                          gt.ABCDateOffset)
        assert not isinstance(pd.Period('2012', freq='A-DEC'),
                              gt.ABCDateOffset)
        assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
        assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval)

        assert isinstance(self.datetime_array, gt.ABCDatetimeArray)
        assert not isinstance(self.datetime_index, gt.ABCDatetimeArray)

        assert isinstance(self.timedelta_array, gt.ABCTimedeltaArray)
        assert not isinstance(self.timedelta_index, gt.ABCTimedeltaArray)
开发者ID:Frank-qlu，项目名称:recruit，代码行数:38，代码来源:test_generic.py

示例2: validate_categories

# 需要导入模块: from pandas.core.dtypes import generic [as 别名]
# 或者: from pandas.core.dtypes.generic import ABCCategoricalIndex [as 别名]
def validate_categories(categories, fastpath=False):
        """
        Validates that we have good categories

        Parameters
        ----------
        categories : array-like
        fastpath : bool
            Whether to skip nan and uniqueness checks

        Returns
        -------
        categories : Index
        """
        from pandas import Index

        if not fastpath and not is_list_like(categories):
            msg = "Parameter 'categories' must be list-like, was {!r}"
            raise TypeError(msg.format(categories))
        elif not isinstance(categories, ABCIndexClass):
            categories = Index(categories, tupleize_cols=False)

        if not fastpath:

            if categories.hasnans:
                raise ValueError('Categorial categories cannot be null')

            if not categories.is_unique:
                raise ValueError('Categorical categories must be unique')

        if isinstance(categories, ABCCategoricalIndex):
            categories = categories.categories

        return categories
开发者ID:Frank-qlu，项目名称:recruit，代码行数:36，代码来源:dtypes.py

示例3: test_abc_types

# 需要导入模块: from pandas.core.dtypes import generic [as 别名]
# 或者: from pandas.core.dtypes.generic import ABCCategoricalIndex [as 别名]
def test_abc_types(self):
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
        assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
        assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
        assert isinstance(self.multi_index, gt.ABCMultiIndex)
        assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
        assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
        assert isinstance(self.period_index, gt.ABCPeriodIndex)
        assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
        assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
        assert isinstance(self.df, gt.ABCDataFrame)
        with catch_warnings(record=True):
            assert isinstance(self.df.to_panel(), gt.ABCPanel)
        assert isinstance(self.sparse_series, gt.ABCSparseSeries)
        assert isinstance(self.sparse_array, gt.ABCSparseArray)
        assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
        assert isinstance(self.categorical, gt.ABCCategorical)
        assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)

        assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
        assert isinstance(pd.Period('2012', freq='A-DEC').freq,
                          gt.ABCDateOffset)
        assert not isinstance(pd.Period('2012', freq='A-DEC'),
                              gt.ABCDateOffset)
        assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
        assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval)
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:31，代码来源:test_generic.py

示例4: validate_categories

# 需要导入模块: from pandas.core.dtypes import generic [as 别名]
# 或者: from pandas.core.dtypes.generic import ABCCategoricalIndex [as 别名]
def validate_categories(categories, fastpath=False):
        """
        Validates that we have good categories

        Parameters
        ----------
        categories : array-like
        fastpath : bool
            Whether to skip nan and uniqueness checks

        Returns
        -------
        categories : Index
        """
        from pandas import Index

        if not isinstance(categories, ABCIndexClass):
            categories = Index(categories, tupleize_cols=False)

        if not fastpath:

            if categories.hasnans:
                raise ValueError('Categorial categories cannot be null')

            if not categories.is_unique:
                raise ValueError('Categorical categories must be unique')

        if isinstance(categories, ABCCategoricalIndex):
            categories = categories.categories

        return categories
开发者ID:birforce，项目名称:vnpy_crypto，代码行数:33，代码来源:dtypes.py

示例5: _validate_categories

# 需要导入模块: from pandas.core.dtypes import generic [as 别名]
# 或者: from pandas.core.dtypes.generic import ABCCategoricalIndex [as 别名]
def _validate_categories(categories, fastpath=False):
        """
        Validates that we have good categories

        Parameters
        ----------
        categories : array-like
        fastpath : bool
            Whether to skip nan and uniqueness checks

        Returns
        -------
        categories : Index
        """
        from pandas import Index

        if not isinstance(categories, ABCIndexClass):
            categories = Index(categories, tupleize_cols=False)

        if not fastpath:

            if categories.hasnans:
                raise ValueError('Categorial categories cannot be null')

            if not categories.is_unique:
                raise ValueError('Categorical categories must be unique')

        if isinstance(categories, ABCCategoricalIndex):
            categories = categories.categories

        return categories
开发者ID:nccgroup，项目名称:Splunking-Crime，代码行数:33，代码来源:dtypes.py

示例6: test_abc_types

# 需要导入模块: from pandas.core.dtypes import generic [as 别名]
# 或者: from pandas.core.dtypes.generic import ABCCategoricalIndex [as 别名]
def test_abc_types(self):
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
        assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
        assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
        assert isinstance(self.multi_index, gt.ABCMultiIndex)
        assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
        assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
        assert isinstance(self.period_index, gt.ABCPeriodIndex)
        assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
        assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
        assert isinstance(self.df, gt.ABCDataFrame)
        with catch_warnings(record=True):
            assert isinstance(self.df.to_panel(), gt.ABCPanel)
        assert isinstance(self.sparse_series, gt.ABCSparseSeries)
        assert isinstance(self.sparse_array, gt.ABCSparseArray)
        assert isinstance(self.categorical, gt.ABCCategorical)
        assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)

        assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
        assert isinstance(pd.Period('2012', freq='A-DEC').freq,
                          gt.ABCDateOffset)
        assert not isinstance(pd.Period('2012', freq='A-DEC'),
                              gt.ABCDateOffset)
开发者ID:securityclippy，项目名称:elasticintel，代码行数:28，代码来源:test_generic.py


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