如何解决以下错误 - TypeError: unsupported operand type(s) for -: 'int' and 'str'

Question

我的代码中出现以下错误。 confirmed_India、recovered_India、deaths_India 是表的列表，其中包含预定义的电晕病例数据集。代码：

confirmed_India_ts = confirmed_df[confirmed_df['Country/Region'] == "India"]

confirmed_India_ts = confirmed_India_ts.drop(
['Lat','Long','Country/Region','Province/State'],axis=1).reset_index(drop=True).sum()

deaths_India_ts = deaths_df[deaths_df['Country/Region'] == "India"]

confirmed_India_ts = deaths_India_ts.drop(
['Lat','Long','Country/Region','Province/State'],axis=1).reset_index(drop=True).sum()

recovered_India_ts = recovered_df[recovered_df['Country/Region'] == "India"]

recovered_India_ts = deaths_India_ts.drop(
['Lat','Long','Country/Region','Province/State'],axis=1).reset_index(drop=True).sum()

active_India_ts = pd.Series(
    data = np.array(
            
[(x1 - x2 - x3) for (x1, x2, x3) in zip(
                confirmed_India_ts.values, deaths_India_ts.values, 

recovered_India_ts.values)
               
 ]
                
        ),
        index = confirmed_India_ts.index
)





error:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-54-68268b5b4ce7> in <module>
 14         data = np.array(
 15                 [(x1 - x2 - x3) for (x1, x2, x3) in zip(
---> 16                     confirmed_India_ts.values, deaths_India_ts.values,      recovered_India_ts.values)
 17                     ]
 18 

 <ipython-input-54-68268b5b4ce7> in <listcomp>(.0)
 13 active_India_ts = pd.Series(
 14         data = np.array(
---> 15                 [(x1 - x2 - x3) for (x1, x2, x3) in zip(
 16                     confirmed_India_ts.values, deaths_India_ts.values, recovered_India_ts.values)
 17                     ]

TypeError: 不支持的操作数类型 -: 'int' 和 'str'

Answer 1

此错误提示您正在尝试减去 Integer 类型和 String 类型。 因此，我建议您在执行 (x1 - x2 - x3) 操作之前检查每个 x1、2、3 RIGHT 的数据类型。 也许您在预处理过程中弄乱了其中一种类型。 例如。 x1 是 Int 类型，而 x2 是字符串。

请提供更多信息，以便我可以帮助你。