48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
from typing import Any, Dict
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import pandas as pd
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class PandasIlocRowsSliceDataFrame:
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"""
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Selects rows from a pandas DataFrame using a slice defined by a start and end integer position. The start position is inclusive, while the end position is exclusive. Returns the selected rows as a DataFrame.
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category: Data subset selection
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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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"start_row": ("INT", {"default": 0, "min": -1, "max": 2**31}),
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"end_row": ("INT", {"default": 0, "min": -1, "max": 2**31})
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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,
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start_row: int,
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end_row:int) -> tuple:
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"""
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Selects rows from a pandas DataFrame using a slice defined by a start and end integer position. The start position is inclusive, while the end position is exclusive. Returns the selected rows as a DataFrame.
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Args:
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dataframe (DataFrame): The DataFrame.
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start_row (int): The integer position of the start row (inclusive).
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end_row (int): The integer position of the end row (exclusive).
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Returns:
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tuple: A tuple containing the DataFrame.
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"""
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df2 = dataframe.iloc[start_row:end_row]
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return (df2,)
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