'str' object has no attribute 'sum'
时间: 2023-09-24 18:14:31 浏览: 81
这个错误通常发生在尝试对一个字符串类型的变量使用sum()函数时。sum()函数是用于求和的,但是字符串类型的变量并不支持求和操作。
如果你想要对一个字符串中的字符进行求和,你可以先将这个字符串转换为一个列表,然后再对列表进行求和,例如:
```
my_string = "12345"
my_list = [int(i) for i in my_string]
my_sum = sum(my_list)
print(my_sum)
```
输出结果为:
```
15
```
这里首先将字符串`my_string`转换为一个包含每个字符的整数列表`my_list`,然后使用`sum()`函数对`my_list`进行求和。
相关问题
AttributeError: 'str' object has no attribute 'sum'
这个错误通常是因为您在尝试对字符串对象调用名为"sum"的方法,而字符串对象并没有这个方法。"sum"方法是针对可迭代对象的,比如列表或元组。如果您想计算字符串中字符的总和,可以使用内置的"sum"函数,如下所示:
```
my_string = "hello"
char_sum = sum(ord(c) for c in my_string)
print(char_sum) # 输出:532
```
这将把每个字符的ASCII码值相加,得到字符串中所有字符的总和。
pandas 'str' object has no attribute 'groupby'
This error occurs when you try to use the `groupby` function on a `str` object in pandas. The `groupby` function is used to group rows of a DataFrame together based on the values in one or more columns.
To resolve this error, you need to make sure that you are applying the `groupby` function on a DataFrame object, not a `str` object. You can convert the `str` object to a DataFrame by using the `pd.DataFrame()` function.
For example, if you have a `str` object that contains some data, you can convert it to a DataFrame like this:
```
import pandas as pd
data = "a,b,c\n1,2,3\n4,5,6\n7,8,9"
df = pd.DataFrame(data=data.split("\n")[1:], columns=data.split("\n")[0].split(","))
```
This creates a DataFrame with three columns 'a', 'b', and 'c' and three rows of data.
Now you can use the `groupby` function on this DataFrame object as follows:
```
grouped = df.groupby('a')
```
This will group the rows of the DataFrame by the values in the 'a' column. You can then apply various aggregation functions on the grouped data, such as `sum()`, `mean()`, etc.