48 lines
1.1 KiB
Python
48 lines
1.1 KiB
Python
from typing import Any, Dict
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import numpy as np
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import ast
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class NumpyFloatCreate:
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"""
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Creates a NumPy ndarray with 32-bit floating point precision
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using values entered in the text field.
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category: Numpy
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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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"data": ("STRING", {"multiline": True}),
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}
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}
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RETURN_TYPES: tuple = ("NDARRAY",)
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FUNCTION: str = "f"
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CATEGORY: str = "Data Analysis"
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def f(self, data: str) -> tuple:
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"""
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Creates a Numpy ndarray using values entered in the text field.
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Args:
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data (str): String value in the text field.
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Returns:
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tuple: A tuple containing a the DataFrame.
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"""
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# Convert string to Python list
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list_data = ast.literal_eval(data)
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# Convert list to NumPy array
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array = np.array(list_data, dtype=np.float32)
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return (array,)
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