44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
from typing import Any, Dict
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import pandas as pd
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class PandasEqScalarFloat:
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"""
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Determines whether each element in the pandas DataFrame is equal to the float.
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category: Logical operations
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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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"dataframe": ("DATAFRAME", {}),
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"number": ("FLOAT", {"default": 0, "min": -2**63, "max": 2**63, "step": 0.00000001})
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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, number: float) -> tuple:
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"""
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Determines whether each element in the pandas DataFrame is equal to the float.
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Args:
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dataframe (DataFrame): The DataFrame.
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number (float): The number.
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Returns:
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tuple: A tuple containing the DataFrame containing the result of operation.
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"""
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df_out = dataframe.eq(number)
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return (df_out,)
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