57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
from typing import Any, Dict
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import pandas as pd
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class PandasRename:
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"""
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Renames an index (row label) or a column label.
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Currently, renaming only works for string labels. Renaming of integer labels is not supported.
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Note below node parameter description is incomplete due to a reference generator's bug:
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* axis takes columns or index.
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category: Transformation
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"""
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# TODO: Fix parameter description in node reference doc.
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@classmethod
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def INPUT_TYPES(cls) -> Dict[str, Any]:
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"""
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Defines the input types for the function.
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Returns:
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Dict[str, Any]: A dictionary specifying required input types.
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"""
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return {
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"required": {
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"dataframe": ("DATAFRAME", {}),
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"axis": (("columns", "index"),),
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"current_label": ("STRING", {"default": ""}),
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"new_label": ("STRING", {"default": ""}),
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}
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}
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RETURN_TYPES: tuple = ("DATAFRAME",)
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FUNCTION: str = "f"
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CATEGORY: str = "Data Analysis"
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def f(self, dataframe: pd.DataFrame, axis: str, current_label: str, new_label: str) -> tuple:
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"""
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Renames an index (row label) or a column label.
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Args:
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dataframe (DataFrame): The DataFrame.
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axis (str): Index (row label) or column label.
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current_label (str): The current label.
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new_label (str): The new label.
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Returns:
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tuple: A tuple containing the DataFrame.
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"""
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if axis=="index":
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df_out = dataframe.rename(index={current_label:new_label})
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elif axis=="columns":
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df_out = dataframe.rename(columns={current_label:new_label})
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else:
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raise ValueError("Invalid axis. Only index or columns are supported.")
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return (df_out,)
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