ddf.stainer.DatetimeFormatStainer

class ddf.stainer.DatetimeFormatStainer(name='Datetime Formats', col_idx=[], num_format=2, formats=None)

Stainer to alter the format of datetimes for given datetime columns.

__init__(name='Datetime Formats', col_idx=[], num_format=2, formats=None)

The constructor for DatetimeFormatStainer class.

Parameters
  • name (str, optional) – Name of stainer. Default is “Datetime Formats”.

  • col_idx (int list, optional) – Column indices that the stainer will operate on. Default is empty list.

  • num_format (int, optional) – Number of datetime formats present within each column. If num_format > number of available formats, or num_format == -1, use all formats. Default is 2.

  • formats (str list or None, optional) – List of datetime string format options that the DatetimeFormatStainer chooses from. Use datetime module string formats (e.g. ‘%d%b%Y’). If None, a default list of 41 non-ambiguous (month is named) datetime formats are provided. Default is None.

get_col_type()

Returns the column type that the stainer operates on.

Returns

Column type that the stainer operates on.

Return type

string

get_history()

Compiles history information for this stainer and returns it.

Returns

  • name (str) – Name of stainer.

  • msg (str) – Message for user.

  • time (float) – Time taken to execute the self.transform() method.

get_indices()

Returns the row indices and column indices.

Returns

  • row_idx (int list) – Row indices that the stainer operates on.

  • col_idx (int list) – Column indices that the stainer operates on.

transform(df, rng, row_idx=None, col_idx=None)

Applies staining on the given indices in the provided dataframe.

Parameters
  • df (pd.DataFrame) – Dataframe to be transformed.

  • rng (np.random.BitGenerator) – PCG64 pseudo-random number generator.

  • row_idx (int list, optional) – Unused parameter as this stainer does not use row indices.

  • col_idx (int list, optional) – Column indices that the stainer will operate on. Will take priority over the class attribute col_idx.

Returns

  • new_df (pd.DataFrame) – Modified dataframe.

  • row_map (empty dictionary) – This stainer does not produce any row mappings.

  • col_map (empty dictionary) – This stainer does not produce any column mappings.

update_history(message='', time=0)

Used by transform method to set attributes required to display history information

Parameters
  • message (str) – Mesasge to be shown to user about the transformation

  • time (float) – Time taken to perform the transform

Methods

__init__([name, col_idx, num_format, formats])

The constructor for DatetimeFormatStainer class.

get_col_type()

Returns the column type that the stainer operates on.

get_history()

Compiles history information for this stainer and returns it.

get_indices()

Returns the row indices and column indices.

transform(df, rng[, row_idx, col_idx])

Applies staining on the given indices in the provided dataframe.

update_history([message, time])

Used by transform method to set attributes required to display history information