Merge pull request #359 from Kotlin/upd_viz_examples_to_kandy

Migrate visualization in examples from lets-plot to kandy

Author: Jolanrensen

core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/jupyter/SampleNotebooksTests.kt

@@ -109,7 +109,7 @@ class SampleNotebooksTests : DataFrameJupyterTest() {
         cleanup: () -> Unit = {},
     ) {
         val fileName = if (notebookName == null) "$dir.ipynb" else "$notebookName.ipynb"
-        doTest("$jupyterExamplesPath/$dir/$fileName", replacer, cellClause, cleanup)
+        doTest("$notebookExamplesPath/$dir/$fileName", replacer, cellClause, cleanup)
     }
 
     data class CodeCellData(
@@ -119,8 +119,8 @@ class SampleNotebooksTests : DataFrameJupyterTest() {
 
     companion object {
         const val ideaExamplesPath = "../examples/idea-examples"
-        const val jupyterExamplesPath = "../examples/jupyter-notebooks"
+        const val notebookExamplesPath = "../examples/notebooks"
 
-        fun testFile(folder: String, fileName: String) = fileName to "$jupyterExamplesPath/$folder/$fileName"
+        fun testFile(folder: String, fileName: String) = fileName to "$notebookExamplesPath/$folder/$fileName"
     }
 }

examples/README.md

@@ -11,27 +11,27 @@
 * people [Datalore](https://datalore.jetbrains.com/view/notebook/aOTioEClQQrsZZBKeUPAQj)
 Small artificial dataset used in [DataFrame API examples](https://kotlin.github.io/dataframe/operations.html) 
 
-* puzzles ([Jupyter](jupyter-notebooks/puzzles/40%20puzzles.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/CVp3br3CDXjUGaxxqfJjFF)) –
+* puzzles ([notebook](notebooks/puzzles/40%20puzzles.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/CVp3br3CDXjUGaxxqfJjFF)) –
 Inspired [by 100 pandas puzzles](https://github.com/ajcr/100-pandas-puzzles). You will go from the simplest tasks to 
 complex problems where need to think. This notebook will show you how to solve these tasks with the Kotlin 
 Dataframe in a laconic, beautiful style.
 ___
-* movies ([Jupyter](jupyter-notebooks/movies/movies.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/89IMYb1zbHZxHfwAta6eKP)) –
+* movies ([notebook](notebooks/movies/movies.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/89IMYb1zbHZxHfwAta6eKP)) –
 In this notebook you can see the basic operations of the Kotlin Dataframe on data from [movielens](https://movielens.org/).
 You can take the data from the [link](https://grouplens.org/datasets/movielens/latest/).
 ___
-* netflix ([Jupyter](jupyter-notebooks/netflix/netflix.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/wB6Vq1oKU3GniCi1i05l2X)) –
+* netflix ([notebook](notebooks/netflix/netflix.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/xSJ4rx49hcH71pPnFgZBCq)) –
 Explore TV shows and movies from Netflix with the powerful Kotlin Dataframe API and beautiful
 visualizations from [lets-plot](https://github.com/JetBrains/lets-plot-kotlin).
 ___
-* github ([Jupyter](jupyter-notebooks/github/github.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/wGlYql3ObFCloN0YpWR1Xw)) –
+* github ([notebook](notebooks/github/github.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/P9n6jYL4mmY1gx3phz5TsX)) –
 This notebook shows the hierarchical dataframes look like and how to work with them.
 ___
-* titanic ([Jupyter](jupyter-notebooks/titanic/Titanic.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/B5YeMMONSAR78FgKQ9yJyW)) –
+* titanic ([notebook](notebooks/titanic/Titanic.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/B5YeMMONSAR78FgKQ9yJyW)) –
 Let's see how the new library will show itself on the famous Titanic dataset.
 ___
-* wine ([Jupyter](jupyter-notebooks/wine/WineNetWIthKotlinDL.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/aK9vYHH8pCA8H1KbKB5WsI)) –
+* wine ([notebook](notebooks/wine/WineNetWIthKotlinDL.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/aK9vYHH8pCA8H1KbKB5WsI)) –
   Wine. Kotlin Dataframe. KotlinDL. What came out of this can be seen in this notebook.
 ___
-* youtube ([Jupyter](jupyter-notebooks/youtube/Youtube.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/uXH0VfIM6qrrmwPJnLBi0j)) –
+* youtube ([notebook](notebooks/youtube/Youtube.ipynb)/[Datalore](https://datalore.jetbrains.com/view/notebook/uXH0VfIM6qrrmwPJnLBi0j)) –
 Explore YouTube videos with YouTube REST API and Kotlin Dataframe