RemoveColumnsOp¶
- class RemoveColumnsOp(parameters)[source]
Remove columns from a tabular file.
- Required remodeling parameters:
column_names (list): The names of the columns to be removed.
ignore_missing (boolean): If true, names in column_names that are not columns in df should be ignored.
Methods
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Constructor for remove columns operation. |
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Verify that the parameters meet the operation specification. |
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Remove indicated columns from a dataframe. |
Attributes
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- RemoveColumnsOp.__init__(parameters)[source]¶
Constructor for remove columns operation.
- Parameters:
parameters (dict) – Dictionary with the parameter values for required and optional parameters
- Raises:
KeyError –
If a required parameter is missing.
If an unexpected parameter is provided.
TypeError –
If a parameter has the wrong type.
- RemoveColumnsOp.check_parameters(parameters)¶
Verify that the parameters meet the operation specification.
- Parameters:
parameters (dict) – Dictionary of parameters for this operation.
- Raises:
KeyError –
If a required parameter is missing.
If an unexpected parameter is provided.
TypeError –
If a parameter has the wrong type.
- RemoveColumnsOp.do_op(dispatcher, df, name, sidecar=None)[source]¶
Remove indicated columns from a dataframe.
- Parameters:
dispatcher (Dispatcher) – Manages the operation I/O.
df (DataFrame) – The DataFrame to be remodeled.
name (str) – Unique identifier for the dataframe – often the original file path.
sidecar (Sidecar or file-like) – Not needed for this operation.
- Returns:
A new dataframe after processing.
- Return type:
Dataframe
- Raises:
KeyError –
If ignore_missing is False and a column not in the data is to be removed.
- RemoveColumnsOp.PARAMS = {'operation': 'remove_columns', 'optional_parameters': {}, 'required_parameters': {'column_names': <class 'list'>, 'ignore_missing': <class 'bool'>}}¶