```
import importlib
import logging
import os
import numpy as np
import pandas as pd

if df['moderate_activity'] == 1:
    print("Participates in Moderate Activity")

```

The log lists this after running my code:

```
self = 0      False
1      False
2       True
3      False
4      False
       ...  
578     True
579     True
580    False
581     True
582     True
Name: moderate_activity, Length: 583, dtype: bool

    def __nonzero__(self):
        raise ValueError(
>           f"The truth value of a {type(self).__name__} is ambiguous. "
            "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
        )
E       ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

```

The error references the first line, moderate\_activity is binary. This is the first time I'm running into this error - I looked up a couple of solutions when trying to implement it in an if statement, such as changing `if df['moderate_activity'] == 1:` to `if df[df['moderate_activity'] == 1]:` but that didn't work. What could I do to fix this?