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HowToSD-ComfyUI-Data-Analysis/modules/pandas_wrapper/pandas_join.py
T

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1.9 KiB
Python

from typing import Any, Dict
from io import StringIO
import pandas as pd
class PandasJoin:
"""
PandasJoin:
A class for merging two pandas DataFrames based on a common column.
"""
@classmethod
def INPUT_TYPES(cls) -> Dict[str, Any]:
"""
Defines the input types for the `join` function.
Returns:
Dict[str, Any]: A dictionary specifying required input types.
"""
return {
"required": {
"left_dataframe_json": ("STRING", {"multiline": True}),
"right_dataframe_json": ("STRING", {"multiline": True}),
"on_column_name": ("STRING", {"default": ""}),
"join_method":(("inner", "left", "right", "outer"),)
}
}
RETURN_TYPES: tuple = ("STRING",)
FUNCTION: str = "join_dataframes"
CATEGORY: str = "Data Analysis"
def join_dataframes(self, left_dataframe_json: str, right_dataframe_json: str, on_column_name: str, join_method: str) -> tuple:
"""
Merges two pandas DataFrames based on a common column using the specified join method.
Args:
left_dataframe_json (str): A JSON string representation of the left DataFrame.
right_dataframe_json (str): A JSON string representation of the right DataFrame.
on_column_name (str): The name of the column to join on.
join_method (str): The type of join to perform ("inner", "left", "right", "outer").
Returns:
tuple: A tuple containing a JSON string of the merged DataFrame.
"""
# Deserialize JSON string to DataFrame
df_left = pd.read_json(StringIO(left_dataframe_json))
df_right = pd.read_json(StringIO(right_dataframe_json))
df_out = pd.merge(df_left, df_right, on=on_column_name, how=join_method)
return (df_out.to_json(),)