Question: I have a dataset which contains the pageviews to all the pages (URLs) for a website for every single day for a few years. 

For example, there might be 25 entries with the same date, each corresponding to a different URL and the associated pageviews to that URL.

I have added new columns in the pandas dataframe to include "Year" and "Month".

Now I would like to create a barplot to show the top 10 pages visited for each year using Seaborn.

I am able to make the plot for the entire dataset (i.e. every single page), but I can't figure out how to do so for just the top 10 most visited pages.

This is what I currently have, where `'Page path level 1'` is the URL and `content` is the dataframe.

```
sns.countplot(x = 'Page path level 1', data = content, hue = 'Year')

```

Here's a snippet of the dataframe:

[![enter image description here](https://i.stack.imgur.com/9VLO8.png)](https://i.stack.imgur.com/9VLO8.png)

Answer: 
When you get an error about creating a network like the one you're experiencing, "container ingress-sbox is already present in sandbox ingress\_sbox", it's worth checking your Linux kernel.

Things to look out for on the kernel side include:

* Mismatch between installed modules package and the running kernel (if the running kernel can't load a required module, then you'll get stuck).
* The running kernel has certain required features disabled.

In the case of a mismatch, a reboot will usually get you running your newly installed kernel package, which means you'll actually be able to load the necessary modules.

In the case that the kernel you are running simply has the feature disabled entirely, you may need to switch to a different kernel altogether.
There is no way in docker to catch exceptions, but to log exceptions in a file and then you navigate inside container to check , till its alive .You can use 

> 
> docker exec -it container id bash
> 
> 
> 

to go inside it or use 

> 
> docker diff container id
> 
> 
> 

to check for added files or modified file which will be your log files, as every time logs will be appended to your log file.This is the way , we track our exceptions or if you come across , any better way please share .