Drop pointcloud and heatmapgl from plotly.py API and update plotly.js bundle from master

CHANGELOG.md

@@ -2,6 +2,9 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+### Removed
+- Drop deprecated `pointcloud` and `heatmapgl` traces from the API
+
 ### Updated
 
 - Updated plotly.py to use base64 encoding of arrays in plotly JSON to improve performance. 

doc/apidoc/plotly.graph_objects.rst

@@ -43,7 +43,6 @@ Simple Traces
    Bar
    Pie
    Heatmap
-   Heatmapgl
    Image
    Contour
    Table

doc/python/3d-bubble-charts.md

@@ -114,9 +114,9 @@ fig = go.Figure(data=go.Scatter3d(
 ))
 
 fig.update_layout(width=800, height=800, title = 'Planets!',
-                  scene = dict(xaxis=dict(title='Distance from Sun', titlefont_color='white'),
-                               yaxis=dict(title='Density', titlefont_color='white'),
-                               zaxis=dict(title='Gravity', titlefont_color='white'),
+                  scene = dict(xaxis=dict(title='Distance from Sun', title_font_color='white'),
+                               yaxis=dict(title='Density', title_font_color='white'),
+                               zaxis=dict(title='Gravity', title_font_color='white'),
                                bgcolor = 'rgb(20, 24, 54)'
                            ))
 
@@ -155,9 +155,9 @@ fig = go.Figure(go.Scatter3d(
 ))
 
 fig.update_layout(width=800, height=800, title = 'Planets!',
-                  scene = dict(xaxis=dict(title='Distance from Sun', titlefont_color='white'),
-                               yaxis=dict(title='Density', titlefont_color='white'),
-                               zaxis=dict(title='Gravity', titlefont_color='white'),
+                  scene = dict(xaxis=dict(title='Distance from Sun', title_font_color='white'),
+                               yaxis=dict(title='Density', title_font_color='white'),
+                               zaxis=dict(title='Gravity', title_font_color='white'),
                                bgcolor = 'rgb(20, 24, 54)'
                            ))
 

doc/python/bar-charts.md

@@ -620,7 +620,7 @@ fig.update_layout(
     xaxis_tickfont_size=14,
     yaxis=dict(
         title='USD (millions)',
-        titlefont_size=16,
+        title_font_size=16,
         tickfont_size=14,
     ),
     legend=dict(

doc/python/contour-plots.md

@@ -283,7 +283,7 @@ fig = go.Figure(data=
         colorbar=dict(
             title='Color bar title', # title here
             titleside='right',
-            titlefont=dict(
+            title_font=dict(
                 size=14,
                 family='Arial, sans-serif')
         )))

doc/python/multiple-axes.md

@@ -193,7 +193,7 @@ fig.update_layout(
     ),
     yaxis=dict(
         title="yaxis title",
-        titlefont=dict(
+        title_font=dict(
             color="#1f77b4"
         ),
         tickfont=dict(
@@ -202,7 +202,7 @@ fig.update_layout(
     ),
     yaxis2=dict(
         title="yaxis2 title",
-        titlefont=dict(
+        title_font=dict(
             color="#ff7f0e"
         ),
         tickfont=dict(
@@ -215,7 +215,7 @@ fig.update_layout(
     ),
     yaxis3=dict(
         title="yaxis3 title",
-        titlefont=dict(
+        title_font=dict(
             color="#d62728"
         ),
         tickfont=dict(
@@ -227,7 +227,7 @@ fig.update_layout(
     ),
     yaxis4=dict(
         title="yaxis4 title",
-        titlefont=dict(
+        title_font=dict(
             color="#9467bd"
         ),
         tickfont=dict(

doc/python/network-graphs.md

@@ -129,7 +129,7 @@ node_trace.text = node_text
 fig = go.Figure(data=[edge_trace, node_trace],
              layout=go.Layout(
                 title='<br>Network graph made with Python',
-                titlefont_size=16,
+                title_font_size=16,
                 showlegend=False,
                 hovermode='closest',
                 margin=dict(b=20,l=5,r=5,t=40),

doc/python/range-slider.md

@@ -252,7 +252,7 @@ fig.update_layout(
         tickfont={"color": "#673ab7"},
         tickmode="auto",
         ticks="",
-        titlefont={"color": "#673ab7"},
+        title_font={"color": "#673ab7"},
         type="linear",
         zeroline=False
     ),
@@ -268,7 +268,7 @@ fig.update_layout(
         tickfont={"color": "#E91E63"},
         tickmode="auto",
         ticks="",
-        titlefont={"color": "#E91E63"},
+        title_font={"color": "#E91E63"},
         type="linear",
         zeroline=False
     ),
@@ -285,7 +285,7 @@ fig.update_layout(
         tickmode="auto",
         ticks="",
         title="mg/L",
-        titlefont={"color": "#795548"},
+        title_font={"color": "#795548"},
         type="linear",
         zeroline=False
     ),
@@ -302,7 +302,7 @@ fig.update_layout(
         tickmode="auto",
         ticks="",
         title="mmol/L",
-        titlefont={"color": "#607d8b"},
+        title_font={"color": "#607d8b"},
         type="linear",
         zeroline=False
     ),
@@ -319,7 +319,7 @@ fig.update_layout(
         tickmode="auto",
         ticks="",
         title="mg/Kg",
-        titlefont={"color": "#2196F3"},
+        title_font={"color": "#2196F3"},
         type="linear",
         zeroline=False
     )

doc/python/setting-graph-size.md

@@ -122,7 +122,7 @@ fig.update_layout(
         ticktext=["Very long label", "long label", "3", "label"],
         tickvals=[1, 2, 3, 4],
         tickmode="array",
-        titlefont=dict(size=30),
+        title_font=dict(size=30),
     )
 )
 
@@ -157,7 +157,7 @@ fig.update_layout(
         ticktext=["Very long label", "long label", "3", "label"],
         tickvals=[1, 2, 3, 4],
         tickmode="array",
-        titlefont=dict(size=30),
+        title_font=dict(size=30),
     )
 )
 
@@ -194,7 +194,7 @@ fig.update_layout(
         ticktext=["Label", "Very long label", "Other label", "Very very long label"],
         tickvals=[1, 2, 3, 4],
         tickmode="array",
-        titlefont=dict(size=30),
+        title_font=dict(size=30),
     )
 )
 

doc/python/static-image-export.md

@@ -146,7 +146,7 @@ and **EPS** (requires the poppler library)
 fig.write_image("images/fig1.eps")
 ~~~
 
-**Note:** It is important to note that any figures containing WebGL traces (i.e. of type `scattergl`, `heatmapgl`, `contourgl`, `scatter3d`, `surface`, `mesh3d`, `scatterpolargl`, `cone`, `streamtube`, `splom`, or `parcoords`) that are exported in a vector format will include encapsulated rasters, instead of vectors, for some parts of the image.
+**Note:** It is important to note that any figures containing WebGL traces (i.e. of type `scattergl`, `contourgl`, `scatter3d`, `surface`, `mesh3d`, `scatterpolargl`, `cone`, `streamtube`, `splom`, or `parcoords`) that are exported in a vector format will include encapsulated rasters, instead of vectors, for some parts of the image.
 
 
 ### Image Export in Dash

doc/python/ternary-plots.md

@@ -83,7 +83,7 @@ rawData = [
 def makeAxis(title, tickangle):
     return {
       'title': title,
-      'titlefont': { 'size': 20 },
+      'title_font': { 'size': 20 },
       'tickangle': tickangle,
       'tickfont': { 'size': 15 },
       'tickcolor': 'rgba(0,0,0,0)',

doc/python/webgl-vs-svg.md

@@ -38,7 +38,7 @@ jupyter:
 
 `plotly` figures are rendered by web browsers, which broadly speaking have two families of capabilities for rendering graphics: the SVG API which supports vector rendering, and the Canvas API which supports raster rendering, and can exploit GPU hardware acceleration via a browser technology known as WebGL. Each `plotly` trace type is primarily rendered with either SVG or WebGL, although WebGL-powered traces also use some SVG. The following trace types use WebGL for part or all of the rendering:
 
-* Accelerated versions of SVG trace types: `scattergl`, `scatterpolargl`, `heatmapgl`
+* Accelerated versions of SVG trace types: `scattergl`, `scatterpolargl`,
 * High-performance multidimensional trace types: `splom`, or `parcoords`
 * 3-d trace types `scatter3d`, `surface`, `mesh3d`, `cone`, `streamtube`
 * Mapbox Gl JS-powered trace types: `scattermapbox`, `choroplethmapbox`, `densitymapbox`
@@ -52,7 +52,7 @@ WebGL is a powerful technology for accelerating computation but comes with some
 3. Context limits: browsers impose a strict limit on the number of WebGL "contexts" that any given web document can access. WebGL-powered traces in `plotly` can use multiple contexts in some cases but as a general rule, **it may not be possible to render more than 8 WebGL-involving figures on the same page at the same time.**
 4. Size limits: browsers impose hardware-dependent limits on the height and width of figures using WebGL which users may encounter with extremely large plots (e.g. tens of thousands of pixels of height)
 
-In addition to the above limitations, the WebGL-powered version of certain SVG-powered trace types (`scattergl`, `scatterpolargl`, `heatmapgl`) are not complete drop-in replacements for their SVG counterparts yet
+In addition to the above limitations, the WebGL-powered version of certain SVG-powered trace types (`scattergl`, `scatterpolargl`) are not complete drop-in replacements for their SVG counterparts yet
 * Available symbols will differ
 * Area fills are not yet supported in WebGL
 * Range breaks on time-series axes are not yet supported

doc/unconverted/python/cars-exploration.md

@@ -109,19 +109,19 @@ fig.layout.title = 'Torque and Fuel Efficience'
 Check default font size
 
 ```python
-fig.layout.titlefont.size
+fig.layout.title_font.size
 ```
 
 Increase the title font size
 
 ```python
-fig.layout.titlefont.size = 22
+fig.layout.title_font.size = 22
 ```
 
-Set `fig.layout.titlefont.family` to `'Rockwell'`
+Set `fig.layout.title_font.family` to `'Rockwell'`
 
 ```python
-fig.layout.titlefont.family = 'Rockwell'
+fig.layout.title_font.family = 'Rockwell'
 ```
 
 ### Create New View for Figure