.str.strip()
时间: 2023-09-02 10:10:05 浏览: 47
在Python中,`.strip()`是字符串的一个方法,用于去除字符串首尾的空格或指定字符。其语法格式为:
```python
string.strip([chars])
```
其中,`chars`是一个可选参数,表示要去除的字符集合。如果不指定该参数,则默认去除字符串首尾的空格字符。
示例:
```python
s = ' hello world '
result1 = s.strip()
print(result1)
result2 = s.strip(' h')
print(result2)
```
输出:
```
'hello world'
'e llo worl'
```
上面的代码中,我们首先创建了一个字符串`s`,并使用`.strip()`方法去除了字符串首尾的空格字符或指定字符。第一个示例中,我们省略了`chars`参数,因此默认去除了字符串首尾的空格字符;第二个示例中,我们指定了`chars`参数为`' h'`,因此去除了字符串首尾的空格字符和字符集合中的`'h'`和`' '`字符。
相关问题
columns.str.strip
As an AI language model, I don't have enough context to understand the meaning of "columns.str.strip". However, assuming that it is related to Python programming language and pandas library, here's a brief explanation:
"columns.str.strip" is a pandas method that applies the strip function to all the string values in a pandas DataFrame or Series. The "columns" in this context refer to the column names in the DataFrame or Series. This method is used to remove leading and trailing whitespaces from the strings in the data.
For example, if you have a pandas DataFrame with column names 'Name', 'Age', and 'Location', and some of the values in the 'Name' column have leading or trailing spaces, you can use the "columns.str.strip" method to remove them as follows:
```
import pandas as pd
data = {'Name': [' John', 'Mary', 'Peter ', ' Jane'],
'Age': [25, 30, 35, 40],
'Location': ['New York', 'London', 'Paris', 'Sydney']}
df = pd.DataFrame(data)
df['Name'] = df['Name'].str.strip() # remove leading/trailing spaces in 'Name' column
```
After applying the "columns.str.strip" method, the 'Name' column in the DataFrame will have values 'John', 'Mary', 'Peter', and 'Jane' with no leading or trailing spaces.
cat_ref.columns.str.strip()
This code does not modify the original dataframe or its columns. It only removes leading and trailing whitespace from the column names. To modify the original dataframe, you would need to assign the cleaned column names back to the dataframe:
```
cat_ref.columns = cat_ref.columns.str.strip()
```