cleaup

src/scicloj/noj/v1/vis/python.clj

@@ -38,43 +38,3 @@
     (-> path
         slurp
         kind/html)))
-
-
-;; ## Using Python visualizations
-
-;; Noj offers methods to include Python plots in [Kindly](https://scicloj.github.io/kindly-noted/kindly) visualizations: the `vis.python/with-pyplot` macro and the `vis.python/pyplot` function.
-
-;; They are based on the [Parens for Pyplot](http://gigasquidsoftware.com/blog/2020/01/18/parens-for-pyplot/) blog post at Squid's blog.
-
-(require-python '[numpy :as np]
-                '[numpy.random :as np.random]
-                'matplotlib.pyplot
-                '[seaborn :as sns]
-                'json)
-
-(def sine-data
-  (-> {:x (range 0 (* 3 np/pi) 0.1)}
-      tc/dataset
-      (tc/add-column :y #(tcc/sin (:x %)))))
-
-(vis.python/with-pyplot
-  (matplotlib.pyplot/plot
-   (:x sine-data)
-   (:y sine-data)))
-
-(vis.python/pyplot
- #(matplotlib.pyplot/plot
-   (:x sine-data)
-   (:y sine-data)))
-
-;; https://seaborn.pydata.org/tutorial/introduction
-(let [tips (sns/load_dataset "tips")]
-  (sns/set_theme)
-  (vis.python/pyplot
-   #(sns/relplot :data tips
-                 :x "total_bill"
-                 :y "tip"
-                 :col "time"
-                 :hue "smoker"
-                 :style "smoker"
-                 :size "size")))