49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
from typing import Any, Dict
|
|
from io import StringIO
|
|
import pandas as pd
|
|
|
|
|
|
class PandasLoadCSV:
|
|
"""
|
|
Pandas Load CSV:
|
|
Loads CSV files into a pandas DataFrame.
|
|
|
|
category: IO
|
|
"""
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls) -> Dict[str, Any]:
|
|
"""
|
|
Defines the input types for the `load_csv` function.
|
|
|
|
Returns:
|
|
Dict[str, Any]: A dictionary specifying required input types.
|
|
"""
|
|
return {
|
|
"required": {
|
|
"file_path": ("STRING", {"multiline": False}),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES: tuple = ("DATAFRAME",)
|
|
FUNCTION: str = "load_csv"
|
|
CATEGORY: str = "Data Analysis"
|
|
|
|
@classmethod
|
|
def IS_CHANGED(cls, **kw):
|
|
return float("NaN")
|
|
|
|
def load_csv(self, file_path: str) -> tuple:
|
|
"""
|
|
Loads a CSV file into a pandas DataFrame.
|
|
|
|
Args:
|
|
file_path (str): The path to the CSV file.
|
|
|
|
Returns:
|
|
tuple: A tuple containing a DataFrame.
|
|
"""
|
|
# Read CSV file into DataFrame
|
|
df = pd.read_csv(file_path)
|
|
return (df,)
|