bump webpack-clip to 5 and improve heatmaps by normalizing them

Author: jdfekete

ipyprogressivis/js/package.json

@@ -3,6 +3,7 @@
   "version": "0.1.0",
   "description": "A Custom Jupyter Widget Library for Progressivis",
   "author": "Jean-Daniel Fekete",
+  "license": "BSD-2-Clause",
   "main": "lib/index.js",
   "repository": {
     "type": "git",
@@ -52,7 +53,7 @@
     "style-loader": "^3.3.3",
     "svg-inline-loader": "^0.8.2",
     "webpack": "^5",
-    "webpack-cli": "^3.3.11",
+    "webpack-cli": "^5.1.4",
     "webpack-dev-server": "^3.10.3"
   },
   "dependencies": {

ipyprogressivis/nbwidgets/stage_widgets/desc_stats.py

@@ -267,7 +267,11 @@ def refresh_info_hist_1d(
     min_ = res["min"]
     max_ = res["max"]
     bins_ = np.linspace(min_, max_, len(hist))
-    source = pd.DataFrame({"xvals": bins_, "nbins": range(len(hist)), "level": hist})
+    source = pd.DataFrame({
+        "xvals": bins_,
+        "nbins": range(len(hist)),
+        "level": hist
+    })
     hout.children[1].update("data", remove="true", insert=source)
     h1d_mod.updated_once = True  # type: ignore
 
@@ -283,7 +287,12 @@ def refresh_info_h2d(
     last = h2d_mod.result.last()
     assert last
     res = last.to_dict()
-    hist = np.cbrt(res["array"])
+    arr = res["array"]
+    maxa = arr.max()
+    if maxa != 0:
+        hist = np.cbrt(arr/maxa)
+    else:
+        hist = maxa
     hout.update("data", insert=hist, remove="true")
     h2d_mod.updated_once = True  # type: ignore