43 lines
985 B
Python
43 lines
985 B
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 series_to_jsons
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class PandasCount:
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"""
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Computes the count of a pandas DataFrame.
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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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}
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}
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RETURN_TYPES: tuple = ("PDSERIES",)
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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) -> tuple:
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"""
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Returns a Series with count for each column.
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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 Series.
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"""
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df = dataframe
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return (df.count(),)
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