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# skbio.metadata.NumericMetadataColumn

class skbio.metadata.NumericMetadataColumn(series, missing_scheme='blank')

  A single metadata column containing numeric data.

  See the `Metadata` class docstring for details about `Metadata` and `MetadataColumn` objects, including a description of column types and supported data formats.

  Attributes

  `supported_dtypes` |
  `type` |

  Attributes (inherited)

  `id_count` | Number of metadata IDs.
  `id_header` | Name identifying the IDs associated with the metadata.
  `ids` | IDs associated with the metadata.
  `missing_scheme` | Return the vocabulary used to encode missing values.
  `name` | Metadata column name.

  Methods (inherited)

  `drop_missing_values` | Filter out missing values from the metadata column.
  `filter_ids` | Filter metadata column by IDs.
  `get_ids` | Retrieve IDs matching search criteria.
  `get_missing` | Return a series containing only missing values (with an index).
  `get_value` | Retrieve metadata column value associated with an ID.
  `has_missing_values` | Determine if the metadata column has one or more missing values.
  `read` | Create a new `NumericMetadataColumn` instance from a file.
  `save` | Save a TSV metadata file.
  `to_dataframe` | Create a pandas dataframe from the metadata column.
  `to_series` | Create a pandas series from the metadata column.
  `write` | Write an instance of `NumericMetadataColumn` to a file.

  Special methods (inherited)

  `__eq__` | Determine if this metadata column is equal to another.
  `__ge__` | Return self>=value.
  `__getstate__` | Helper for pickle.
  `__gt__` | Return self>value.
  `__le__` | Return self<=value.
  `__lt__` | Return self<value.
  `__ne__` | Determine if this metadata column is not equal to another.
  `__str__` | Return str(self).

  Details

  supported_dtypes = ('float', 'int', 'int64')
  type = 'numeric'