I want to generate a dataframe that contains lists of a person's potential favorite crayon colors, based on their favorite color. I have two dataframes that contain the necessary information: 

```
df1 = pd.DataFrame({'person':['Jeff','Marie','Jenna','Mike'], 'color':['blue', 'purple', 'brown', 'green']}, columns=['person','color'])

df2 = pd.DataFrame({'possible_crayons':['christmas red','infra red','scarlet','sunset orange', 'neon carrot','lemon','forest green','pine','navy','aqua','periwinkle','royal purple'],'color':['red','red','red','orange','orange','yellow','green','green','blue','blue','purple','purple']}, columns=['possible_crayons','color'])

```

I want to reference one database against the other by matching the df1 color entry to the df2 color entry, and returning the corresponding possible\_crayons values as a list in a new column in df1. Any terms that did not find a match would be labeled N/A. So the desired output would be:

```
person favorite_color possible_crayons_list  
Jeff   blue           [navy, aqua]  
Marie  purple         [periwinkle, royal purple]  
Jenna  brown          NaN  
Mike   green          [forest green, pink]

```

I've tried:

```
mergedDF = pd.merge(df1, df2, how='left')

```

However, this results in the following: 

```
  person   color possible_crayons  
0   Jeff    blue             navy  
1   Jeff    blue             aqua  
2  Marie  purple       periwinkle  
3  Marie  purple     royal purple  
4  Jenna   brown              NaN  
5   Mike   green     forest green  
6   Mike   green             pine  

```

Is there any way to achieve my desired output of lists?