43 lines
1.2 KiB
Python
43 lines
1.2 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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from .utils import index_to_jsons
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class PandasIsNA:
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"""
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PandasColumns:
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A class for checking a pandas DataFrame for missing values.
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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_json": ("STRING", {"multiline": True})
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}
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}
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RETURN_TYPES: tuple = ("STRING",)
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FUNCTION: str = "isna"
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CATEGORY: str = "Data Analysis"
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def isna(self, dataframe_json: str) -> tuple:
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"""
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Returns a DataFrame with boolean values with True indicating a missing value.
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Args:
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dataframe_json (str): A JSON string representation of the DataFrame.
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Returns:
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tuple: A tuple containing a JSON string for the DataFrame.
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"""
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# Deserialize JSON string to DataFrame
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df = pd.read_json(StringIO(dataframe_json))
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return (df.isna().to_json(),)
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