49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
from typing import Any, Dict
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import pandas as pd
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import torch
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class PandasCreateFromTensor:
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"""
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Creates a pandas DataFrame from a PyTorch tensor.
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category: IO
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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 `create` 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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"tens": ("TENSOR", {}),
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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, tens: torch.Tensor) -> tuple:
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"""
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Creates a pandas DataFrame from a PyTorch tensor.
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Args:
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tens (torch.Tensor): A PyTorch tensor.
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Returns:
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tuple: A tuple containing the DataFrame.
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Raises:
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ValueError: If the tensor is not rank 1 or rank 2.
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"""
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if tens.dim() not in [1, 2]:
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raise ValueError("Only rank 1 and rank 2 tensors are supported.")
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return (pd.DataFrame(tens.numpy()),)
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