Question

我正在学习Python，现在我正在尝试检查数据库中股票价值的变化百分比。但是，我要检查的变量之一是来自Series类型的数据库。每当我尝试转换为浮点数以将其用于乘法和除法时，都会收到错误消息“ TypeError：无法将序列转换为”。我看到过声明使用.astype（float）的解决方案，但对我而言不起作用。任何帮助将不胜感激。

<class 'pandas.core.series.Series'>
2997    1131.130005
Name: Adj Close, dtype: float64
<class 'pandas.core.series.Series'>
2947    1129.439941
Name: Adj Close, dtype: float64
<class 'pandas.core.series.Series'>
2778    1198.680054
Name: Adj Close, dtype: float64
<class 'pandas.core.series.Series'>
Series([], Name: Adj Close, dtype: float64)
Traceback (most recent call last):
  File "C:\Users\andre\AppData\Local\Programs\Python\Python37\SciKit-learn Tutorial\Tutorial 6 - Playing with the Data (pct_change).py", line 103, in <module>
    Key_Stats()
  File "C:\Users\andre\AppData\Local\Programs\Python\Python37\SciKit-learn Tutorial\Tutorial 6 - Playing with the Data (pct_change).py", line 83, in Key_Stats
    sp500_pct_change = ((float(sp500_value) - starting_sp500_value) / starting_sp500_value) * 100
  File "C:\Users\andre\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\core\series.py", line 93, in wrapper
    "{0}".format(str(converter)))
TypeError: cannot convert the series to <class 'float'>

错误：

{{1}}

Answer 1

我想我们正在同一个项目上，也在同一个路径上工作。这里是。我希望你能理解将这段代码插入哪里

                try:
                    sp500_date = datetime.fromtimestamp(unix_time).strftime('%Y-%m-%d')
                    row = sp500_df[sp500_df["Date"] == sp500_date]
                    sp500_value = row["Adj Close"]
                    sp500_value1 = sp500_value.values[0]
                    print(sp500_value1)

                except:
                    sp500_date = datetime.fromtimestamp(unix_time-259200).strftime('%Y-%m-%d')
                    row = sp500_df[sp500_df["Date"] == sp500_date]
                    sp500_value = row["Adj Close"]
                    sp500_value1 = sp500_value.values[0]
                    print(sp500_value1)

如何将Series转换为float

1 个答案: