UserWarning: Invalid number of return arguments after parsing column name: 'Date'

[laurentvv]

`import yfinance as yf from stockstats import StockDataFrame

ticker = "O" start = "2022-01-01" end = "2023-11-02"

df = yf.download(ticker, start, end) stock_df = StockDataFrame.retype(df)

stock_df = stock_df[ [ "open", "high", "low", "close", "adj close", "volume", "rsi", "macd", "stochrsi", "vwma", "close_200_ema", "close_100_ema", "close_30_ema", "close_10_ema", "vr", "wr", "supertrend", "dma", "pdi", "ndi", "chop", "mfi", ] ]

stock_df = stock_df.dropna(axis=0) stock_df["mean_year_close"] = stock_df.groupby(stock_df.index.year)["close"].transform("mean")

print(stock_df.tail())`

Works with pandas-2.1.1

Not working with pandas 2.1.2 : stock_df["mean_year_close"] = stock_df.groupby(stock_df.index.year)["close"].transform("mean") UserWarning: Invalid number of return arguments after parsing column name: 'Date'

[laurentvv]

It's working with pandas-2.1.3....

[jealous]

Seems like a pandas regression in 2.1.2. I am closing this for now.