42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
from typing import Any, Dict
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import pandas as pd
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class PandasCorr:
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"""
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Computes the correlation of the DataFrame. You can select from the Pearson, Kendall or Spearman methods.
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category: Summary statistics
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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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"method": (("pearson", "kendall", "spearman"),)
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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, method: str) -> tuple:
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"""
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Computes the correlation of the DataFrame.
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Args:
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dataframe (DataFrame): The DataFrame.
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Returns:
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tuple: A tuple containing the result.
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"""
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return (dataframe.corr(method),)
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