50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
from typing import Any, Dict
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import pandas as pd
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class PandasHorizontalSplit:
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"""
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Horizontally splits a Pandas DataFrame into two pandas DataFrames.
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category: Transformation
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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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"column_integer_position": ("INT", {"default": 0, "min": -1, "max": 2**31})
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}
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}
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RETURN_TYPES: tuple = ("DATAFRAME", "DATAFRAME")
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RETURN_NAMES: tuple = ("Left DataFrame", "Right 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, column_integer_position: int) -> tuple:
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"""
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Horizontally splits a Pandas DataFrame into two pandas DataFrames.
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Args:
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dataframe (pd.DataFrame): The DataFrame to split.
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column_integer_position (int): The column integer position where the split occurs.
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The left DataFrame contains columns [0, column_integer_position-1],
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and the right DataFrame contains columns [column_integer_position, end].
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Returns:
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tuple: A tuple containing the left and right DataFrames.
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"""
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df_left = dataframe.iloc[:,:column_integer_position]
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df_right = dataframe.iloc[:,column_integer_position:]
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return (df_left, df_right)
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