lucy | Chatbot based on Key-Value Memory Networks | Chat library

You are almost there. Casting df.index to pd.Series is unnecessary and leads to an error as indices get misaligned form the original df. Try:

You can use df.groupby() which is a functionality within Pandas

For your particular case, you may use

You can try to use dense_rank window function.

But I think, the problem is with Mod rewrite disabled.

If mod_rewrite was disabled (and .htaccess overrides are enabled) then you'd get a 500 Internal Server Error, not a redirect loop.

You'll get a redirect loop if another service is managing the SSL connection with the client (eg. front-end proxy, load balancer, CDN, etc.) and your application server is connecting via insecure HTTP to this other service. (Not uncommon.)

Check the HTTP request headers reaching your application server, do you see an X-Forwarded-Proto header? This would indicate the application server is behind a front-end proxy that manages the SSL connection. In which case, you could do something like the following instead:

Assuming the template already has valid html structure, sounds like you just want to write a file

The problem is that, CriteriaBuilder is using Cross Join by default (what you have mentioned about BTW). That's the reason why it will not get the data where A or B is null. You can get those records by setting Join type to LEFT:

root.join(Entity.childEntity, JoinType.LEFT)

In your case, try to modify your code as below:

Use boolean indexing and fillna:

You need to loop over the array to write the values:

Use left join in merge and set Y/N by numpy.where first: