Customize plot appearance and export scripts

.travis.yml

@@ -21,7 +21,7 @@ env:
     - QT_PKG=pyqt5
     - SETUP_XVFB=True
     - CONDA_DEPENDENCIES="pip dill ipython matplotlib scipy cython h5py pygments pyzmq scikit-image pandas sphinx xlrd pillow pytest mock coverage pyyaml sphinx_rtd_theme qtpy traitlets ipykernel qtconsole spectral-cube pytest-cov mpl-scatter-density"
-    - PIP_DEPENDENCIES="coveralls pyavm astrodendro awscli plotly objgraph"
+    - PIP_DEPENDENCIES="coveralls pyavm astrodendro plotly objgraph"
     - PIP_FALLBACK=false
     - REMOVE_INSTALL_REQUIRES=0
     - secure: NvQVc3XmmjXNVKrmaD31IgltsOImlnt3frAl4wU0pM223iejr7V57hz/V5Isx6sTANWEiRBMG27v2T8e5IiB7DQTxFUleZk3DWXQV1grw/GarEGUawXAgwDWpF0AE/7BRVJYqo2Elgaqf28+Jkun8ewvfPCiEROD2jWEpnZj+IQ=
@@ -116,7 +116,7 @@ matrix:
 
       - os: linux
         env: PYTHON_VERSION=2.7 NUMPY_VERSION=dev
-             PIP_DEPENDENCIES="pytest-cov coveralls pyavm astrodendro awscli plotly"
+             PIP_DEPENDENCIES="pytest-cov coveralls pyavm astrodendro plotly"
 
       - os: linux
         env: PYTHON_VERSION=2.7 QT_PKG=pyside

doc/installation/dependencies.rst

@@ -7,7 +7,7 @@ Glue has the following required dependencies:
 
 * Python 2.7, or 3.3 and higher
 * `Numpy <http://www.numpy.org>`_ 1.9 or later
-* `Matplotlib <http://matplotlib.org/>`_ 1.4 or later
+* `Matplotlib <http://matplotlib.org/>`_ 2.0 or later
 * `Pandas <http://pandas.pydata.org/>`_ 0.14 or later
 * `Astropy <http://www.astropy.org>`_ 1.0 or higher
 * `setuptools <http://setuptools.readthedocs.io/en/latest/>`_ 1.0 or later

glue/config.py

@@ -379,6 +379,18 @@ def add(self, label, cmap):
         """
         self.members.append([label, cmap])
 
+    def __getitem__(self, cmap_name):
+        for name, cmap in self.members:
+            if name == cmap_name:
+                return cmap
+        raise KeyError(cmap_name)
+
+    def name_from_cmap(self, cmap_desired):
+        for name, cmap in self.members:
+            if cmap is cmap_desired:
+                return name
+        raise ValueError("Could not find name for colormap")
+
 
 class DataFactoryRegistry(Registry):
 

glue/core/data_collection.py

@@ -315,6 +315,9 @@ def __iter__(self):
     def __len__(self):
         return len(self._data)
 
+    def index(self, item):
+        return self._data.index(item)
+
     def __str__(self):
         if len(self) == 1:
             result = "DataCollection (1 data set)\n\t"

glue/core/state.py

@@ -111,6 +111,18 @@ def load(rec, context)
     PATH_PATCHES[before.strip()] = after.strip()
 
 
+def save(filename, obj):
+    s = GlueSerializer(obj)
+    with open(filename, 'w') as f:
+        s.dump(f)
+
+
+def load(filename):
+    with open(filename, 'r') as f:
+        s = GlueUnSerializer.load(f)
+    return s.object('__main__')
+
+
 def lookup_class_with_patches(name):
     """
     A wrapper to lookup_class that also patches paths to ensure

glue/core/state_objects.py

@@ -254,6 +254,10 @@ class StateAttributeLimitsHelper(StateAttributeCacheHelper):
     percentile_subset : int
         How many points to use at most for the percentile calculation (using all
         values is highly inefficient and not needed)
+    margin : float
+        Whether to add a margin to the range of values determined. This should be
+        given as a floating point value that will be multiplied by the range of
+        values to give the margin to add to the limits.
     lower, upper : str
         The fields for the lower/upper levels
     percentile : ``QComboBox`` instance, optional
@@ -279,10 +283,11 @@ class StateAttributeLimitsHelper(StateAttributeCacheHelper):
     values_names = ('lower', 'upper')
     modifiers_names = ('log', 'percentile')
 
-    def __init__(self, state, attribute, percentile_subset=10000, cache=None, **kwargs):
+    def __init__(self, state, attribute, percentile_subset=10000, margin=0, cache=None, **kwargs):
 
         super(StateAttributeLimitsHelper, self).__init__(state, attribute, cache=cache, **kwargs)
 
+        self.margin = margin
         self.percentile_subset = percentile_subset
 
         if self.attribute is not None:
@@ -352,6 +357,15 @@ def update_values(self, force=False, use_default_modifiers=False, **properties):
                 lower = np.floor(lower - 0.5) + 0.5
                 upper = np.ceil(upper + 0.5) - 0.5
 
+            if log:
+                value_range = np.log10(upper / lower)
+                lower /= 10.**(value_range * self.margin)
+                upper *= 10.**(value_range * self.margin)
+            else:
+                value_range = upper - lower
+                lower -= value_range * self.margin
+                upper += value_range * self.margin
+
             self.set(lower=lower, upper=upper, percentile=percentile, log=log)
 
     def flip_limits(self):