54 lines
1.5 KiB
Python
54 lines
1.5 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 PandasLoadCSVWithEncoding:
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"""
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Pandas Load CSV With Encoding:
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Loads CSV files into a pandas DataFrame.
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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 `load_csv` 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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"file_path": ("STRING", {"multiline": False}),
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"encoding": ("STRING", {"multiline": False})
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}
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}
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RETURN_TYPES: tuple = ("DATAFRAME",)
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FUNCTION: str = "load_csv"
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CATEGORY: str = "Data Analysis"
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@classmethod
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def IS_CHANGED(cls, **kw):
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return float("NaN")
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def load_csv(self, file_path: str, encoding: str) -> tuple:
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"""
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Loads a CSV file into a pandas DataFrame. Allows specifying the file encoding to support formats other than UTF-8.
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Refer to the below documents for the list of encodings:
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https://docs.python.org/3/library/codecs.html#standard-encodings
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Args:
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file_path (str): The path to the CSV file.
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encoding (str): Encoding of the file.
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Returns:
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tuple: A tuple containing a DataFrame.
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"""
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# Read CSV file into DataFrame
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df = pd.read_csv(file_path, encoding=encoding)
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return (df,)
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