If you wish to proceed you should use pd.concat
时间: 2023-12-14 09:37:07 浏览: 26
Thank you for the suggestion. I assume you are referring to concatenating pandas DataFrames. Yes, `pd.concat` is a useful function to concatenate multiple DataFrames along a particular axis. It can be used to combine DataFrames vertically or horizontally.
For example, to concatenate two DataFrames vertically, you can use the following code:
```
import pandas as pd
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]})
result = pd.concat([df1, df2], axis=0)
```
And to concatenate two DataFrames horizontally, you can use the following code:
```
import pandas as pd
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'C': [7, 8, 9], 'D': [10, 11, 12]})
result = pd.concat([df1, df2], axis=1)
```
I hope that helps! Let me know if you have any other questions.