Files

42 lines
991 B
Python

from typing import Any, Dict
from io import StringIO
import pandas as pd
from .utils import series_to_jsons
class PandasStd:
"""
Computes the standard deviation of a pandas DataFrame.
category: Summary statistics
"""
@classmethod
def INPUT_TYPES(cls) -> Dict[str, Any]:
"""
Defines the input types for the function.
Returns:
Dict[str, Any]: A dictionary specifying required input types.
"""
return {
"required": {
"dataframe": ("DATAFRAME", {})
}
}
RETURN_TYPES: tuple = ("PDSERIES",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, dataframe: pd.DataFrame) -> tuple:
"""
Returns a Series with standard deviation for each column.
Args:
dataframe (DataFrame): The DataFrame.
Returns:
tuple: A tuple containing the Series.
"""
return (dataframe.std(),)