@@ -291,8 +291,11 @@ class BalancingLearner(BaseLearner):

         dm = hv.DynamicMap(plot_function, kdims=list(d.keys()))

         dm = dm.redim.values(**d)

+        dm.cache_size = 1

         if dynamic:

+            # XXX: change when https://github.com/pyviz/holoviews/issues/3637

+            # is fixed.

             return dm.map(lambda obj: obj.opts(framewise=True), hv.Element)

         else:

             # XXX: change when https://github.com/ioam/holoviews/issues/3085

@@ -590,12 +590,11 @@ class Learner1D(BaseLearner):

             Plot of the evaluated data.

         """

         hv = ensure_holoviews()

-        if not self.data:

-            p = hv.Scatter([]) * hv.Path([])

-        elif not self.vdim > 1:

-            p = hv.Scatter(self.data) * hv.Path([])

+

+        xs, ys = zip(*sorted(self.data.items())) if self.data else ([], [])

+        if self.vdim == 1:

+            p = hv.Path([]) * hv.Scatter((xs, ys))

         else:

-            xs, ys = zip(*sorted(self.data.items()))

             p = hv.Path((xs, ys)) * hv.Scatter([])

         # Plot with 5% empty margins such that the boundary points are visible

@@ -96,7 +96,7 @@ def live_plot(runner, *, plotter=None, update_interval=2, name=None, normalize=T

     Parameters

     ----------

-    runner : `Runner`

+    runner : `~adaptive.Runner`

     plotter : function

         A function that takes the learner as a argument and returns a

         holoviews object. By default ``learner.plot()`` will be called.

@@ -136,6 +136,7 @@ def live_plot(runner, *, plotter=None, update_interval=2, name=None, normalize=T

     streams = [hv.streams.Stream.define("Next")()]

     dm = hv.DynamicMap(plot_generator(), streams=streams)

+    dm.cache_size = 1

     if normalize:

         # XXX: change when https://github.com/pyviz/holoviews/issues/3637

@@ -558,12 +558,12 @@ class AsyncRunner(BaseRunner):

         """

         self.task.cancel()

-    def live_plot(self, *, plotter=None, update_interval=2, name=None):

+    def live_plot(self, *, plotter=None, update_interval=2, name=None, normalize=True):

         """Live plotting of the learner's data.

         Parameters

         ----------

-        runner : `Runner`

+        runner : `~adaptive.Runner`

         plotter : function

             A function that takes the learner as a argument and returns a

             holoviews object. By default ``learner.plot()`` will be called.

@@ -573,6 +573,8 @@ class AsyncRunner(BaseRunner):

             Name for the `live_plot` task in `adaptive.active_plotting_tasks`.

             By default the name is None and if another task with the same name

             already exists that other `live_plot` is canceled.

+        normalize : bool

+            Normalize (scale to fit) the frame upon each update.

         Returns

         -------

@@ -7,6 +7,8 @@ import pickle

 from contextlib import contextmanager

 from itertools import product

+from atomicwrites import AtomicWriter

+

 def named_product(**items):

     names = items.keys()

@@ -44,9 +46,13 @@ def save(fname, data, compress=True):

     dirname = os.path.dirname(fname)

     if dirname:

         os.makedirs(dirname, exist_ok=True)

-    _open = gzip.open if compress else open

-    with _open(fname, "wb") as f:

-        pickle.dump(data, f, protocol=pickle.HIGHEST_PROTOCOL)

+

+    blob = pickle.dumps(data, protocol=pickle.HIGHEST_PROTOCOL)

+    if compress:

+        blob = gzip.compress(blob)

+

+    with AtomicWriter(fname, "wb", overwrite=True).open() as f:

+        f.write(blob)

 def load(fname, compress=True):

@@ -13,6 +13,7 @@ dependencies:

   - plotly=3.9.0

   - ipywidgets=7.4.2

   # - jupyter_sphinx=0.2.1

+  - atomicwrites=1.3.0

   - pip:

     - git+https://github.com/jbweston/jupyter-sphinx.git@feature/disable-stderr  # XXX: removed when merged in

     - sphinx_fontawesome==0.0.6

@@ -16,3 +16,4 @@ dependencies:

   - ipywidgets

   - scikit-optimize

   - plotly

+  - atomicwrites

@@ -24,7 +24,12 @@ def get_version_and_cmdclass(package_name):

 version, cmdclass = get_version_and_cmdclass("adaptive")

-install_requires = ["scipy", "sortedcollections >= 1.1", "sortedcontainers >= 2.0"]

+install_requires = [

+    "scipy",

+    "sortedcollections >= 1.1",

+    "sortedcontainers >= 2.0",

+    "atomicwrites",

+]

 extras_require = {

     "notebook": [