unsupported operand type(s) for -: 'numpy.str_' and 'int'
时间: 2023-08-01 19:11:20 浏览: 346
这个错误通常出现在你尝试对一个字符串和一个整数执行减法操作时。Python不支持这种操作,因为它们是不兼容的数据类型。你需要确保你的操作是针对相同的数据类型。如果你想将字符串转换为整数来执行减法操作,可以使用int()函数将字符串转换为整数。例如,如果你有一个名为s的字符串,你可以使用int(s)将它转换为整数。
相关问题
unsupported operand type(s) for -: 'numpy.str_' and 'numpy.str_'
This error occurs when you try to perform a subtraction operation (-) between two numpy string objects. Numpy string objects are not numerical, and therefore cannot be subtracted from each other.
To fix this error, you need to make sure that the objects you are trying to subtract are numerical. You can convert numpy string objects to numerical data types using functions like int() or float().
For example, if you have two numpy string objects '10' and '5', you can convert them to integers and subtract them as follows:
```
a = '10'
b = '5'
result = int(a) - int(b)
print(result)
```
This will output: 5
Alternatively, you can also use the numpy function np.subtract() to perform element-wise subtraction between two numpy arrays.
```
import numpy as np
a = np.array(['10', '20', '30'])
b = np.array(['5', '10', '15'])
result = np.subtract(a.astype(int), b.astype(int))
print(result)
```
This will output: [ 5 10 15]
File "/usr/local/lib/python3.10/site-packages/pandas/core/nanops.py", line 1637, in func return np.corrcoef(a, b)[0, 1] File "<__array_function__ internals>", line 180, in corrcoef File "/usr/local/lib/python3.10/site-packages/numpy/lib/function_base.py", line 2845, in corrcoef c = cov(x, y, rowvar, dtype=dtype) File "<__array_function__ internals>", line 180, in cov File "/usr/local/lib/python3.10/site-packages/numpy/lib/function_base.py", line 2680, in cov avg, w_sum = average(X, axis=1, weights=w, returned=True) File "<__array_function__ internals>", line 180, in average File "/usr/local/lib/python3.10/site-packages/numpy/lib/function_base.py", line 518, in average avg = a.mean(axis, **keepdims_kw) File "/usr/local/lib/python3.10/site-packages/numpy/core/_methods.py", line 182, in _mean ret = um.true_divide( TypeError: unsupported operand type(s) for /: 'str' and 'int'
这个错误信息提示出现了类型错误,即在计算相关系数时出现了字符串和整数相除的情况。这很可能是因为相关系数计算的两列数据中存在字符串类型的数据,而相关系数只支持数值类型的数据计算。解决这个问题的方法是,在读取 Excel 文件时,需要将相关列的数据类型转换为数值类型,例如使用 `df.astype(float)` 将 DataFrame 中的所有列都转换为浮点数类型。另外,还需要检查数据中是否有缺失值,如果有,可以选择删除或者填充缺失值。最后,重新运行代码即可。
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