Comments (4)
0.8-rc
still has a lot of problems with documentation. For example it is not clear how generic is used here:
from dataframe.
@altavir I've added KDocs for major interfaces, please, check if it's clearer now.
from dataframe.
A little bit. But not fully. For example, it is not clear what variance of T
is allowed in the schema. Should it be variant T or all descendants of T (for example if T is Number).
The same goes for methods. Some methods are self-explanatory, but some are not. Several examples (just in this class, not going anywhere else):
-
What does it do? -
what is the iteration order?
from dataframe.
Thank you for quick reply. I'm currently writing KDocs and comments for the library. Probably I'll not be able cover the whole codebase, so your requests for clarification of particular parts of code are appreciated.
from dataframe.
Related Issues (20)
- Update korro to 0.1.6
- Annotate non-user facing documentation interfaces with `@ExcludeFromSources` HOT 1
- Incorrect parsing of CSV file. Locale is ignored for some columns HOT 2
- Support additional Number types (like Percentage)
- Incorrect permission setting for the pre-commit file HOT 11
- `prev()?.newValue()` unavailable for add-multiple DSL
- Failing to properly read an excel file
- Preprocessor Gradle plugin behavior HOT 1
- [Feature Request] Read from database and automatically cast to camel case HOT 2
- Enable use of other ArrowReader implementations HOT 2
- `Iterable<Double?>.toDataFrame()` and `Iterable<Float?>.toDataFrame()` results in empty dataframe
- Add binary compatibility validator to dataframe-core
- Update extension properties API docs HOT 2
- Add Apache Pinot® as supported database HOT 5
- Incorrect documentation and example for reading SQL database with dataframe in Notebook
- Jupyter integration conflicts with variable type converters from other integrations. HOT 1
- Add ability to reference environment variable in ImportDataSchema HOT 1
- Make headers in KDoc smaller
- Support Kotlin Multiplatform Plugin for JVM only HOT 3
- K2 HOT 4
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from dataframe.