48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
from typing import Any, Dict
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from io import StringIO
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import pandas as pd
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class PandasPow:
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"""
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Exponentiates two pandas DataFrames.
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category: Arithmetic method
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"""
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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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# "a_dataframe": ("DATAFRAME", {}),
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# "b_dataframe": ("DATAFRAME", {})
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"a_dataframe": ("DATAFRAME", {}),
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"b_dataframe": ("DATAFRAME", {})
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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, a_dataframe: pd.DataFrame, b_dataframe: pd.DataFrame) -> tuple:
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def f(self, a_dataframe: pd.DataFrame, b_dataframe: pd.DataFrame) -> tuple:
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"""
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Raise one pandas DataFrame to the power of another.
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Args:
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a_dataframe (DataFrame): The base DataFrame.
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b_dataframe (DataFrame): The exponent DataFrame.
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Returns:
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tuple: A tuple containing the DataFrame containing the result of exponentiation.
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"""
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df_out = a_dataframe.pow(b_dataframe)
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return (df_out,)
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