How to take subset or matching one row of first dataframe with respect to second dataframe columns in pandas?

@premsheth wrote:

Hi friends,

I am trying to take subset or matching one row of first dataframe with respect to second dataframe columns
Example:

First Dataframe
s = pd.DataFrame({'User_competencies':['Adapting to change','Coping with change','Managing pressures and setbacks','Achieving goals and objectives','Entrepreneurial skills']})

Second Dataframe
comp[1].head()
0 Adapting to change
1 Coping with change
2 Managing pressures and setbacks
3 Achieving goals and objectives
4 Entrepreneurial skills

Now If I want to extract specific row contains using following code:
s["Adapting to change" == comp[1]]

I got Right answer
But I get following warning:

   ` UserWarning: Boolean Series key will be reindexed to match DataFrame index.`
      `"""Entry point for launching an IPython kernel.`

What is this warning means and how can I resolve it?

Because my next step is need to extract more than one row from Dataframe columns.
Can anyone pleas help me?
Thanks in Advance

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