在Python中，另起一行输入代码可以通过以下几种方法实现：
1. 使用反斜杠（`\`）：
```python
data11 = data21 = data31 = data41 = data51 = data61 = data71 = data81 = data91 = data101 = data111 = data121 = data131 = data141 = data151 = data161 = data171 = data181 = data191 = data201 = data211 = pd.DataFrame（columns=['w', 'ka', 'period']）
2. 使用括号（`（）`）：```pythondata11 = data21 = data31 = data41 = data51 = data61 = data71 = data81 = data91 = data101 = data111 = data121 = data131 = data141 = data151 = data161 = data171 = data181 = data191 = data201 = data211 = pd.DataFrame（columns=['w', 'ka', 'period']）
3. 使用回车键（`Enter`）：
```python
data11 = data21 = data31 = data41 = data51 = data61 = data71 = data81 = data91 = data101 = data111 = data121 = data131 = data141 = data151 = data161 = data171 = data181 = data191 = data201 = data211 = pd.DataFrame（columns=['w', 'ka', 'period']）
4. 使用多行字符串（`"""` 或 `'''`）：```pythondata11 = data21 = data31 = data41 = data51 = data61 = data71 = data81 = data91 = data101 = data111 = data121 = data131 = data141 = data151 = data161 = data171 = data181 = data191 = data201 = data211 = pd.DataFrame（columns=['w', 'ka', 'period']）
5. 使用`print（）`函数，并设置`end`参数为`''`：
```python
print（'data11 = data21 = data31 = data41 = data51 = data61 = data71 = data81 = data91 = data101 = data111 = data121 = data131 = data141 = data151 = data161 = data171 = data181 = data191 = data201 = data211 = pd.DataFrame（columns=[\'w\', \'ka\', \'period\']）', end=''）
6. 使用`write（）`方法，并写入换行符（`\n`）：```pythonwith open（'file.txt', 'w'） as f:
f.write（'data11 = data21 = data31 = data41 = data51 = data61 = data71 = data81 = data91 = data101 = data111 = data121 = data131 = data141 = data151 = data161 = data171 = data181 = data191 = data201 = data211 = pd.DataFrame（columns=[\'w\', \'ka\', \'period\']）\n'）
7. 使用特殊字符序列（`\n`）：
```python
data11 = data21 = data31 = data41 = data51 = data61 = data71 = data81 = data91 = data101 = data111 = data121 = data131 = data141 = data151 = data161 = data171 = data181 = data191 = data201 = data211 = pd.DataFrame（columns=['w', 'ka', 'period']）
请根据您的具体需求选择最适合的方法