Function cal_guidance

finagent/processor/processor.py:46–49

(df)

    return df

def cal_guidance(df):
    df["title"] = df["title"].fillna("").str.replace("\n", " ").replace("\r", " ").replace("\t", " ")
    df["text"] = df["text"].fillna("").str.replace("\n", " ").replace("\r", " ").replace("\t", " ")
    return df

def cal_sentiment(df, columns):
    for col in columns: