Python add_s()

Python中的`add_s()`不是一个内置函数，它看起来像是你自己定义的一个函数名。在Python中，如果你想定义一个名为`add_s`的函数，用于添加字符串，你可以这样做：

def add_s(string1, string2):
    return string1 + ' ' + string2

# 示例用法
result = add_s('Hello', 'World')
print(result)  # 输出: Hello World

这个函数接受两个字符串参数，然后将它们连接在一起，中间加上空格。如果你是在某个特定上下文中遇到`add_s`，请提供更多的信息以便我能给出更准确的帮助。

相关问题

python add

To perform addition in Python, you can use the `+` operator. Here's an example:

a = 2
b = 3
c = a + b
print(c)

This will output `5`, which is the result of adding `a` and `b`.

python dataframe add

To add a new column to a Python dataframe, you can use the following syntax:

df['new_column_name'] = new_column_values

where `df` is the name of the dataframe, `new_column_name` is the name of the new column you want to add, and `new_column_values` is a list or array of the same length as the number of rows in the dataframe.

For example, let's say you have a dataframe `df` with columns `A` and `B`, and you want to add a new column `C` containing the sum of `A` and `B`:

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

df['C'] = df['A'] + df['B']

print(df)

This will output:

   A  B  C
0  1  4  5
1  2  5  7
2  3  6  9

You can also add a new column with a single value for all rows:

df['D'] = 'new_value'

This will add a new column `D` with the value `'new_value'` for all rows in the dataframe.