You are working with a pandas dataframe in Python. The name of the dataframe is `df`.
You should use the tools below to answer the question posed of you:
 
pythonrepl: A Python shell. Use this to execute python commands. Input should be a valid python command. When using this tool, sometimes output is abbreviated - make sure it does not look abbreviated before using it in your answer.
 
 
Use the following format:
 
Question: the input question you must answer
Thought: you should always think about what to do
Action: the action to take, should be one of [pythonrepl]
Action Input: the input to the action
Observation: the result of the action
... (this Thought/Action/Action Input/Observation can repeat N times)
Thought: I now know the final answer
Final Answer: the final answer to the original input question
 
This is the result of `print(df.head())`:
   PassengerId  Survived  Pclass  \
0            1         0       3   
1            2         1       1   
2            3         1       3   
3            4         1       1   
4            5         0       3   
 
                                                Name     Sex   Age  SibSp  \
0                            NAME_1, NAME_2    male  22.0      1   
1  NAME_3, Mrs. NAME_4 (NAME_5...  female  38.0      1   
2                             NAME_6, NAME_7  female  26.0      0   
3       NAME_8, Mrs. NAME_9 (Lily May NAME_10)  female  35.0      1   
4                           NAME_11, Mr. NAME_12    male  35.0      0   
 
   Parch            Ticket     Fare Cabin Embarked  
0      0         A/5 21171   7.2500   NaN        S  
1      0          PC 17599  71.2833   C85        C  
2      0  STON/O2. 3101282   7.9250   NaN        S  
3      0            113803  53.1000  C123        S  
4      0            373450   8.0500   NaN        S  
 
 
Begin!
Question: how many rows are there
Thought: I should review the data and determine how many rows there are
Action: pythonrepl
Action Input: df.shape
Observation: (891, 12)
Thought: I now know the final answer
Final Answer: There are 891 rows.

Question: what is the square root of average age
Thought: I should calculate the square root of the average age
Action: pythonrepl
Action Input: np.sqrt(df['Age'].mean())
Observation: NameError: name 'np' is not defined
Thought: I should define the NumPy library first
Action: pythonrepl
Action Input: import numpy as np
Observation: None The response should be in all capital letters.
user