Esempio n. 1
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    def run(self, table):
        """
        :returns:
            :class:`int`
        """
        percentiles = Percentiles(self._column_name).run(table)

        new_column = []

        for row in table.rows:
            new_column.append(percentiles.locate(row[self._column_name]))

        return new_column
    def run(self, table):
        """
        :returns:
            :class:`int`
        """
        percentiles = Percentiles(self._column_name).run(table)

        new_column = []

        for row in table.rows:
            new_column.append(percentiles.locate(row[self._column_name]))

        return new_column
Esempio n. 3
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File: median.py Progetto: 01-/agate
class Median(Aggregation):
    """
    Calculate the median of a column.

    Median is equivalent to the 50th percentile. See :class:`Percentiles`
    for implementation details.

    :param column_name:
        The name of a column containing :class:`.Number` data.
    """
    def __init__(self, column_name):
        self._column_name = column_name
        self._percentiles = Percentiles(column_name)

    def get_aggregate_data_type(self, table):
        return Number()

    def validate(self, table):
        column = table.columns[self._column_name]

        if not isinstance(column.data_type, Number):
            raise DataTypeError('Median can only be applied to columns containing Number data.')

        has_nulls = HasNulls(self._column_name).run(table)

        if has_nulls:
            warn_null_calculation(self, column)

    def run(self, table):
        percentiles = self._percentiles.run(table)

        return percentiles[50]
class Median(Aggregation):
    """
    Calculate the median of a column.

    Median is equivalent to the 50th percentile. See :class:`Percentiles`
    for implementation details.

    :param column_name:
        The name of a column containing :class:`.Number` data.
    """
    def __init__(self, column_name):
        self._column_name = column_name
        self._percentiles = Percentiles(column_name)

    def get_aggregate_data_type(self, table):
        return Number()

    def validate(self, table):
        column = table.columns[self._column_name]

        if not isinstance(column.data_type, Number):
            raise DataTypeError(
                'Median can only be applied to columns containing Number data.'
            )

        has_nulls = HasNulls(self._column_name).run(table)

        if has_nulls:
            warn_null_calculation(self, column)

    def run(self, table):
        percentiles = self._percentiles.run(table)

        return percentiles[50]
Esempio n. 5
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File: iqr.py Progetto: livlab/agate
class IQR(Aggregation):
    """
    Calculate the interquartile range of a column containing
    :class:`.Number` data.
    """
    def __init__(self, column_name):
        self._column_name = column_name
        self._percentiles = Percentiles(column_name)

    def get_aggregate_data_type(self, table):
        return Number()

    def validate(self, table):
        column = table.columns[self._column_name]

        if not isinstance(column.data_type, Number):
            raise DataTypeError('IQR can only be applied to columns containing Number data.')

        has_nulls = HasNulls(self._column_name).run(table)

        if has_nulls:
            warn_null_calculation(self, column)

    def run(self, table):
        percentiles = self._percentiles.run(table)

        return percentiles[75] - percentiles[25]
Esempio n. 6
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class IQR(Aggregation):
    """
    Calculate the interquartile range of a column.

    :param column_name:
        The name of a column containing :class:`.Number` data.
    """
    def __init__(self, column_name):
        self._column_name = column_name
        self._percentiles = Percentiles(column_name)

    def get_aggregate_data_type(self, table):
        return Number()

    def validate(self, table):
        column = table.columns[self._column_name]

        if not isinstance(column.data_type, Number):
            raise DataTypeError('IQR can only be applied to columns containing Number data.')

        has_nulls = HasNulls(self._column_name).run(table)

        if has_nulls:
            warn_null_calculation(self, column)

    def run(self, table):
        percentiles = self._percentiles.run(table)

        return percentiles[75] - percentiles[25]
Esempio n. 7
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    def run(self, table):
        """
        :returns:
            An instance of :class:`Quantiles`.
        """
        percentiles = Percentiles(self._column_name).run(table)

        return Quantiles([percentiles[i] for i in range(0, 101, 25)])
Esempio n. 8
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File: median.py Progetto: 01-/agate
 def __init__(self, column_name):
     self._column_name = column_name
     self._percentiles = Percentiles(column_name)
 def __init__(self, column_name):
     self._column_name = column_name
     self._percentiles = Percentiles(column_name)