Jolan Rensen
Jolan Rensen
Also, the `limit =` argument does not exist on the site
After investigation: it's not incorrect. The documentation just shows how the merged df is created before showing how it can be deconstructed again using Regex. That said, since users can...
That theory might definitely be correct. I've heard about Databricks storing Datasets differently as well (stricter than spark itself in some cases). Since we replace some code inside the Spark...
So I've sent an email to Databricks with this issue. Not sure if they can or want to help, but it can't hurt to try, can it? :)
> > So I've sent an email to Databricks with this issue. Not sure if they can or want to help, but it can't hurt to try, can it? :)...
@koperagen had other ideas for handling multiple types in one column, which I summarized here: https://github.com/Kotlin/dataframe/issues/466.
This is intentional. The function you're looking for is defined like: ```kotlin public fun Convert.toLocalDateTime( pattern: String? = null, locale: Locale? = null, ): DataFrame = to { it.convertToLocalDateTime(pattern, locale)...
@zaleslaw if we all agree :) @koperagen what do you think?
> @Jolanrensen > > > `df.convert { "date"() }.toLocalDateTime("yyyy-MM-dd'T'HH:mm:ss'Z'")` > > Will this also work for ? I'd imagine yes, because of: `public fun Convert.toLocalDateTime(`
For simple, untyped/unchecked conversion from Exposed Queries to DataFrames, something as simple as this already works: ```kotlin // Try to get a proper name instead of something like $Line23432.Albums.artistId //...