49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
from typing import Any, Dict
|
|
from io import StringIO
|
|
import pandas as pd
|
|
|
|
class PandasSelectColumns:
|
|
"""
|
|
PandasSelectColumns:
|
|
A class for selecting specific columns from a pandas DataFrame.
|
|
"""
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls) -> Dict[str, Any]:
|
|
"""
|
|
Defines the input types for the `select_columns` function.
|
|
|
|
Returns:
|
|
Dict[str, Any]: A dictionary specifying required input types.
|
|
"""
|
|
return {
|
|
"required": {
|
|
"dataframe_json": ("STRING", {"multiline": True}),
|
|
"column_names": ("STRING", {"default": ""})
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES: tuple = ("STRING",)
|
|
FUNCTION: str = "select_columns"
|
|
CATEGORY: str = "Data Analysis"
|
|
|
|
def select_columns(self, dataframe_json: str, column_names: str) -> tuple:
|
|
"""
|
|
Selects specific columns from a pandas DataFrame.
|
|
|
|
Args:
|
|
dataframe_json (str): A JSON string representation of the DataFrame.
|
|
column_names (str): A comma-separated string of column names to select.
|
|
|
|
Returns:
|
|
tuple: A tuple containing a JSON string of the DataFrame with selected columns.
|
|
"""
|
|
# Deserialize JSON string to DataFrame
|
|
df = pd.read_json(StringIO(dataframe_json))
|
|
|
|
# Process column names
|
|
selected_columns = [col.strip() for col in column_names.split(",")]
|
|
df2 = df[selected_columns]
|
|
|
|
return (df2.to_json(),)
|