reindexer | oriented database with a high-level Query builder interface | SQL Database library

I have a pandas df that contains the following data:

Here I'm adding time to data where only date is given. There are 5 minutes between values or 288 values per date.
The code works when the input dataframe is 1 day (288 rows) or less, but gives an error when the input is longer. Any idea what I'm missing? Thanks in advance.

Relevant section of code:

MarkLogic - 9.0.8.2

We have around 5 indexes created which are used to search data (19M records) within MarkLogic

Now we want to add one more index, resource utilization will be depend on value defined in reindexer throttle (Large numbers mean work more harder reindexing)

As reindexing will take few hours/days to finish it up in production environment and should not have impact to performance on production environment, we followed (reindexer enable false during business hours) best practices suggested by MarkLogic.

MarkLogic Best Practices for Reindexing

Now my question is, with Reindexing disabled, will adding new data will be indexed for existing indexes which were created initially?

The function below works fine when I run it in a single data set but it doesn't work in multiple data sets. I am not sure if I am doing anything wrong with the iteration.

ValueError: cannot reindex from a duplicate axis

Any help will be appreciated.

I'm trying to use std::map with a custom class and in the course of the process the program has to call std::map::find in order to resolve a key to a pair. The custom class doesn't seem to fit well in terms of comparisons.

This is probably better explained in code; I have a class that I want to use as a key:

I have a pandas dataframe with one column of model variables and their corresponding statistics in another column. I've done some string manipulation to get a derived summary table to join the summary table from the model.
lost_cost_final_table.loc[lost_cost_final_table['variable'].str.contains('class_cc', case = False), 'variable'] = lost_cost_final_table['variable'].str[:8]

Full traceback.

I have last column and i am trying to get the max and min for 15minutes. By executing this code. But i am unable to include Type for this code. Because i have many types inside the Type column. I get this Error.

I have a Magento 2 website and require some direction with setting up sub-category urls to be SEO friendly. The Navigation menu work just fine i.e

Grooming Kit

www.mywebsite.com/product-grooming-kit.html the issue i'm having is with sub-categories in the left sidebar filters which when a specific category is clicked on it displays as following url with a number id

www.mywebsite.com/product-grooming-kit.html?grooming-kit=32

I want it to look like

www.mywebsite.com/product-grooming-kit/grooming-kit-mens/

I have added this to custom urls manually, cleared cache and still no changes?

In Magento 1.9 i would do a reindexer using ssh and would update urls. Not sure how to do this in Magento 2 without installing a third party extension.

Any help would be much appreciated.

Many Thanks Vinnie

I'm trying to infill the dates on a dataframe with a DateTimeIndex. Here's the setup to get the initial dataframe: