Finance, Investing, Time Series Analysis, Time Series Forecasting, Technical Analysis.
“ds” and the value to be represented as “y”. Let’s make that adjustment now. df["date"] = df.index df_prophet = df[["date", "adjusted_close"]].rename(columns={"date": "ds", "adjusted_close": "y"}) print(df_prophet) Screenshot by Author Initialise and Fit the Model We have our data ready in the