RenameColumnsOp¶
- class RenameColumnsOp(parameters)[source]
Rename columns in a tabular file.
- Required remodeling parameters:
column_mapping (dict): The names of the columns to be removed.
ignore_missing (bool): If true, the names in column_mapping that are not columns and should be ignored.
Methods
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Constructor for rename columns operation. |
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Verify that the parameters meet the operation specification. |
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Rename columns as specified in column_mapping dictionary. |
Attributes
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- RenameColumnsOp.__init__(parameters)[source]¶
Constructor for rename 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.
- RenameColumnsOp.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.
- RenameColumnsOp.do_op(dispatcher, df, name, sidecar=None)[source]¶
Rename columns as specified in column_mapping dictionary.
- 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 –
When ignore_missing is false and column_mapping has columns not in the data.
- RenameColumnsOp.PARAMS = {'operation': 'rename_columns', 'optional_parameters': {}, 'required_parameters': {'column_mapping': <class 'dict'>, 'ignore_missing': <class 'bool'>}}¶