python-3.x - 我的 python 代码中有一个错误 key 错误 ['logo_url' ] 不在索引中

Question

def update_data(n, val):  # inpur parameter(s)
    if n == None:
        return "Hey there! Please enter a legitimate stock code to get details.", "https://melmagazine.com/wp-content/uploads/2019/07/Screen-Shot-2019-07-31-at-5.47.12-PM.png", "Stonks", None, None, None
        # raise PreventUpdate
    else:
        if val == None:
            raise PreventUpdate
        else:
            ticker = yf.Ticker(val)
            inf = ticker.info
            df = pd.DataFrame().from_dict(inf, orient="index").T
            df[["logo_url", "shortName", "longBusinessSummary"]]
            return df['logo_url'].values[0], df['shortName'].values[
                0], df['longBusinessSummary'].values[0], None, None, None

在此代码中我收到错误...

Traceback (most recent call last):
  File "C:\Users\SK\Desktop\stock-dash\app.py", line 122, in update_data
    df[["logo_url", "shortName", "longBusinessSummary"]]
  File "C:\Users\SK\Desktop\stock-dash\Project\lib\site-packages\pandas\core\frame.py", line 3767, in __getitem__
    indexer = self.columns._get_indexer_strict(key, "columns")[1]
  File "C:\Users\SK\Desktop\stock-dash\Project\lib\site-packages\pandas\core\indexes\base.py", line 5876, in _get_indexer_strict
    self._raise_if_missing(keyarr, indexer, axis_name)
  File "C:\Users\SK\Desktop\stock-dash\Project\lib\site-packages\pandas\core\indexes\base.py", line 5938, in _raise_if_missing
    raise KeyError(f"{not_found} not in index")
KeyError: "['logo_url'] not in index"

我想要它的解决方案，请帮助我

Answer 1

行 df[["logo_url", "shortName", "longBusinessSummary"]] 似乎旨在从 DataFrame 中选择特定列，但缺少用于存储的赋值语句选定的列。

要修复该错误，您需要将选定的列重新分配给 df 变量。这是更正后的代码:

def update_data(n, val):

    if n is None:
        return (
            "Hey there! Please enter a legitimate stock code to get details.",
            "https://melmagazine.com/wp-content/uploads/2019/07/Screen-Shot-2019-07-31-at-5.47.12-PM.png",
            "Stonks",
            None,
            None,
            None,
        )
    else:
        if val is None:
            raise PreventUpdate
        else:
            ticker = yf.Ticker(val)
            inf = ticker.info
            df = pd.DataFrame().from_dict(inf, orient="index").T
            df = df[["logo_url", "shortName", "longBusinessSummary"]]  # Assign selected columns back to df
            return (
                df['logo_url'].values[0],
                df['shortName'].values[0],
                df['longBusinessSummary'].values[0],
                None,
                None,
                None,
            )