[DO NOT MERGE] v1.12.6 Bugfix Release Changes

CHANGELOG.md

@@ -1,3 +1,82 @@
+Version 1.12.6
+==============
+
+This is a minor release containing a large number of bug fixes thanks
+to the contributions from @joelostblom, @ahuang11, @chbrandt,
+@randomstuff, @jbednar and @philippjfr. It also contains a number of
+enhancements. This is the last planned release in the 1.12.x series.
+
+Enhancements:
+
+- Ensured that shared_axes option on layout plots is respected across backends
+  ([#3410](https://github.com/pyviz/holoviews/issues/3410))
+- Allow plotting partially irregular (curvilinear) mesh
+  ([#3952](https://github.com/pyviz/holoviews/issues/3952))
+- Add support for dependent functions in dynamic operations
+  ([#3975](https://github.com/pyviz/holoviews/issues/3975),
+   [#3980](https://github.com/pyviz/holoviews/issues/3980))
+- Add support for fast QuadMesh rasterization with datashader >= 0.8
+  ([#4020](https://github.com/pyviz/holoviews/issues/4020))
+- Allow passing Panel widgets as operation parameter
+  ([#4028](https://github.com/pyviz/holoviews/issues/4028))
+
+Bug fixes:
+
+- Fixed issue rounding datetimes in Curve step interpolation
+  ([#3958](https://github.com/pyviz/holoviews/issues/3958))
+- Fix resampling of categorical colorcet colormaps
+  ([#3977](https://github.com/pyviz/holoviews/issues/3977))
+- Ensure that changing the Stream source deletes the old source
+  ([#3978](https://github.com/pyviz/holoviews/issues/3978))
+- Ensure missing hover tool does not break plot
+  ([#3981](https://github.com/pyviz/holoviews/issues/3981))
+- Ensure .apply work correctly on HoloMaps
+  ([#3989](https://github.com/pyviz/holoviews/issues/3989),
+   [#4025](https://github.com/pyviz/holoviews/issues/4025))
+- Ensure Grid axes are always aligned in bokeh
+  ([#3916](https://github.com/pyviz/holoviews/issues/3916))
+- Fix hover tool on Image and Raster plots with inverted axis
+  ([#4010](https://github.com/pyviz/holoviews/issues/4010))
+- Ensure that DynamicMaps are still linked to streams after groupby
+  ([#4012](https://github.com/pyviz/holoviews/issues/4012))
+- Using hv.renderer no longer switches backends
+  ([#4013](https://github.com/pyviz/holoviews/issues/4013))
+- Ensure that Points/Scatter categorizes data correctly when axes are inverted 
+  ([#4014](https://github.com/pyviz/holoviews/issues/4014))
+- Fixed error creating legend for matplotlib Image artists
+  ([#4031](https://github.com/pyviz/holoviews/issues/4031))
+- Ensure that unqualified Options objects are supported
+  ([#4032](https://github.com/pyviz/holoviews/issues/4032))
+- Fix bounds check when constructing Image with ImageInterface
+  ([#4035](https://github.com/pyviz/holoviews/issues/4035))
+- Ensure elements cannot be constructed with wrong number of columns 
+  ([#4040](https://github.com/pyviz/holoviews/issues/4040))
+- Ensure streaming data works on bokeh server
+  ([#4041](https://github.com/pyviz/holoviews/issues/4041)) 
+
+Compatibility:
+
+- Ensure HoloViews is fully compatible with xarray 0.13.0
+  ([#3973](https://github.com/pyviz/holoviews/issues/3973))
+- Ensure that deprecated matplotlib 3.1 rcparams do not warn
+  ([#4042](https://github.com/pyviz/holoviews/issues/4042))
+- Ensure compatibility with new legend options in bokeh 1.4.0
+  ([#4036](https://github.com/pyviz/holoviews/issues/4036))
+
+Version 1.12.5
+==============
+
+This is a very minor bug fix release ensuring compatibility with recent
+releases of dask.
+
+Compatibility:
+
+- Ensure that HoloViews can be imported when dask is installed but
+  dask.dataframe is not.
+  ([#3900](https://github.com/pyviz/holoviews/issues/3900))
+- Fix for rendering Scatter3D with matplotlib 3.1
+  ([#3898](https://github.com/pyviz/holoviews/issues/3898))
+
 Version 1.12.4
 ==============
 

doc/releases.rst

@@ -15,6 +15,88 @@ Version 1.12
 ~~~~~~~~~~~~
 
 
+
+Version 1.12.6
+**************
+
+This is a minor release containing a large number of bug fixes thanks
+to the contributions from @joelostblom, @ahuang11, @chbrandt,
+@randomstuff, @jbednar and @philippjfr. It also contains a number of
+enhancements. This is the last planned release in the 1.12.x series.
+
+Enhancements:
+
+* Ensured that shared_axes option on layout plots is respected across backends
+  (`#3410 <https://github.com/pyviz/holoviews/issues/3410>`_)
+* Allow plotting partially irregular (curvilinear) mesh
+  (`#3952 <https://github.com/pyviz/holoviews/issues/3952>`_)
+* Add support for dependent functions in dynamic operations
+  (`#3975 <https://github.com/pyviz/holoviews/issues/3975>`_,
+  `#3980 <https://github.com/pyviz/holoviews/issues/3980>`_)
+* Add support for fast QuadMesh rasterization with datashader >= 0.8
+  (`#4020 <https://github.com/pyviz/holoviews/issues/4020>`_)
+* Allow passing Panel widgets as operation parameter
+  (`#4028 <https://github.com/pyviz/holoviews/issues/4028>`_)
+
+Bug fixes:
+
+* Fixed issue rounding datetimes in Curve step interpolation
+  (`#3958 <https://github.com/pyviz/holoviews/issues/3958>`_)
+* Fix resampling of categorical colorcet colormaps
+  (`#3977 <https://github.com/pyviz/holoviews/issues/3977>`_)
+* Ensure that changing the Stream source deletes the old source
+  (`#3978 <https://github.com/pyviz/holoviews/issues/3978>`_)
+* Ensure missing hover tool does not break plot
+  (`#3981 <https://github.com/pyviz/holoviews/issues/3981>`_)
+* Ensure .apply work correctly on HoloMaps
+  (`#3989 <https://github.com/pyviz/holoviews/issues/3989>`_,
+  `#4025 <https://github.com/pyviz/holoviews/issues/4025>`_)
+* Ensure Grid axes are always aligned in bokeh
+  (`#3916 <https://github.com/pyviz/holoviews/issues/3916>`_)
+* Fix hover tool on Image and Raster plots with inverted axis
+  (`#4010 <https://github.com/pyviz/holoviews/issues/4010>`_)
+* Ensure that DynamicMaps are still linked to streams after groupby
+  (`#4012 <https://github.com/pyviz/holoviews/issues/4012>`_)
+* Using hv.renderer no longer switches backends
+  (`#4013 <https://github.com/pyviz/holoviews/issues/4013>`_)
+* Ensure that Points/Scatter categorizes data correctly when axes are inverted
+  (`#4014 <https://github.com/pyviz/holoviews/issues/4014>`_)
+* Fixed error creating legend for matplotlib Image artists
+  (`#4031 <https://github.com/pyviz/holoviews/issues/4031>`_)
+* Ensure that unqualified Options objects are supported
+  (`#4032 <https://github.com/pyviz/holoviews/issues/4032>`_)
+* Fix bounds check when constructing Image with ImageInterface
+  (`#4035 <https://github.com/pyviz/holoviews/issues/4035>`_)
+* Ensure elements cannot be constructed with wrong number of columns
+  (`#4040 <https://github.com/pyviz/holoviews/issues/#4040>`_)
+* Ensure streaming data works on bokeh server
+  (`#4041 <https://github.com/pyviz/holoviews/issues/4041>`_) 
+
+Compatibility:
+
+* Ensure HoloViews is fully compatible with xarray 0.13.0
+  (`#3973 <https://github.com/pyviz/holoviews/issues/3973>`_)
+* Ensure that deprecated matplotlib 3.1 rcparams do not warn
+  (`#4042 <https://github.com/pyviz/holoviews/issues/4042>`_)
+* Ensure compatibility with new legend options in bokeh 1.4.0
+  (`#4036 <https://github.com/pyviz/holoviews/issues/4036>`_)
+
+
+Version 1.12.5
+**************
+
+
+This is a very minor bug fix release ensuring compatibility with recent
+releases of dask.
+
+Compatibility:
+
+* Ensure that HoloViews can be imported when dask is installed but
+  dask.dataframe is not.
+  (`#3900 <https://github.com/pyviz/holoviews/issues/3900>`_)
+* Fix for rendering Scatter3D with matplotlib 3.1
+  (`#3898 <https://github.com/pyviz/holoviews/issues/3898>`_)
+
 Version 1.12.4
 **************
 

examples/gallery/apps/bokeh/crossfilter.py

@@ -1,28 +1,20 @@
 """
-An example demonstrating how to put together a crossfilter app based
-on the Auto MPG dataset. Demonstrates how to dynamically generate
-bokeh plots using the HoloViews API and replacing the bokeh plot
-based on the current widget selections.
+An example demonstrating how to put together a cross-selector app based
+on the Auto MPG dataset.
 """
 import holoviews as hv
+import panel as pn
+import panel.widgets as pnw
 
-from bokeh.layouts import row, widgetbox
-from bokeh.models import Select
-from bokeh.plotting import curdoc
 from bokeh.sampledata.autompg import autompg
 
 df = autompg.copy()
 
-SIZES = list(range(6, 22, 3))
 ORIGINS = ['North America', 'Europe', 'Asia']
 
 # data cleanup
-df.cyl = [str(x) for x in df.cyl]
 df.origin = [ORIGINS[x-1] for x in df.origin]
 
-df['year'] = [str(x) for x in df.yr]
-del df['yr']
-
 df['mfr'] = [x.split()[0] for x in df.name]
 df.loc[df.mfr=='chevy', 'mfr'] = 'chevrolet'
 df.loc[df.mfr=='chevroelt', 'mfr'] = 'chevrolet'
@@ -38,40 +30,20 @@
 continuous = [x for x in columns if x not in discrete]
 quantileable = [x for x in continuous if len(df[x].unique()) > 20]
 
-renderer = hv.renderer('bokeh')
-options = hv.Store.options(backend='bokeh')
-options.Points = hv.Options('plot', width=800, height=600, size_index=None,)
-options.Points = hv.Options('style', cmap='rainbow', line_color='black')
-
-def create_figure():
-    label = "%s vs %s" % (x.value.title(), y.value.title())
-    kdims = [x.value, y.value]
-
-    opts, style = {}, {}
-    opts['color_index'] = color.value if color.value != 'None' else None
-    if size.value != 'None':
-        opts['size_index'] = size.value
-        opts['scaling_factor'] = (1./df[size.value].max())*200
-    points = hv.Points(df, kdims=kdims, label=label).opts(plot=opts, style=style)
-    return renderer.get_plot(points).state
-
-def update(attr, old, new):
-    layout.children[1] = create_figure()
-
-x = Select(title='X-Axis', value='mpg', options=quantileable)
-x.on_change('value', update)
-
-y = Select(title='Y-Axis', value='hp', options=quantileable)
-y.on_change('value', update)
-
-size = Select(title='Size', value='None', options=['None'] + quantileable)
-size.on_change('value', update)
+x = pnw.Select(name='X-Axis', value='mpg', options=quantileable)
+y = pnw.Select(name='Y-Axis', value='hp', options=quantileable)
+size = pnw.Select(name='Size', value='None', options=['None'] + quantileable)
+color = pnw.Select(name='Color', value='None', options=['None'] + quantileable)
 
-color = Select(title='Color', value='None', options=['None'] + quantileable)
-color.on_change('value', update)
+@pn.depends(x.param.value, y.param.value, color.param.value, size.param.value) 
+def create_figure(x, y, color, size):
+    opts = dict(cmap='rainbow', width=800, height=600, padding=0.1, line_color='black')
+    if color != 'None':
+        opts['color'] = color 
+    if size != 'None':
+        opts['size'] = hv.dim(size).norm()*20
+    return hv.Points(df, [x, y], label="%s vs %s" % (x.title(), y.title())).opts(**opts)
 
-controls = widgetbox([x, y, color, size], width=200)
-layout = row(controls, create_figure())
+widgets = pn.WidgetBox(x, y, color, size, width=200)
 
-curdoc().add_root(layout)
-curdoc().title = "Crossfilter"
+pn.Row(widgets, create_figure).servable('Cross-selector')