Example Change, Travis Change, Doc Change

.travis.yml

@@ -1,5 +1,10 @@
 language: python
 
+os:
+    - linux
+
+stage: Initial tests
+
 # Setting sudo to false opts in to Travis-CI container-based builds.
 sudo: false
 
@@ -25,6 +30,7 @@ python:
     - 3.6
 
 # Configure the build environment. Global varibles are defined for all configurations.
+
 env:
     global:
         - COLUMNS=240
@@ -35,46 +41,71 @@ env:
         - SETUP_CMD='test'
         - CONDA_CHANNELS='astropy astropy-ci-extras'
         - CONDA_DEPENDENCIES='openjpeg Cython jinja2 scipy matplotlib mock requests beautifulsoup4 sqlalchemy scikit-image pytest-mock pyyaml pandas nomkl'
-        - PIP_DEPENDENCIES='hypothesis suds-jurko sphinx-gallery pytest-sugar pytest-rerunfailures sunpy-sphinx-theme glymur'
+        - PIP_DEPENDENCIES='hypothesis suds-jurko sphinx-gallery pytest-sugar pytest-rerunfailures sunpy-sphinx-theme glymur pytest-astropy'
         - EVENT_TYPE='pull_request push'
 
+
     matrix:
         - SETUP_CMD='egg_info'
 
+stages:
+   # Do the install jobs, don't proceed if it fails
+   - name: Initial tests
+   # Do the rest of the tests
+   - name: Comprehensive tests
+   - name: Cron tests
+     if: type = cron
+
 matrix:
+
+    # Don't wait for allowed failures
+    fast_finish: true
+
     include:
          # We order the jobs, so the longest running tests are in the top
          # four positions of the matrix
          - os: osx
+           stage: Cron tests
            language: generic
            env: PYTHON_VERSION=3.6
 
          - python: 3.6
+           stage: Comprehensive tests
            env: SETUP_CMD='test --online --coverage -V'
                 EVENT_TYPE='push pull_request cron'
 
          - python: 3.6
+           stage: Cron tests
            env: NUMPY_VERSION='dev' ASTROPY_VERSION='dev'
                 EVENT_TYPE='push pull_request cron'
 
+         - python: 3.6
+           stage: Initial tests
+           env: SETUP_CMD='test'
+
          - python: 2.7
+           stage: Comprehensive tests
            env: SETUP_CMD='test'
 
          # Previous numpy is tested on an older python version
          - python: 3.5
+           stage: Cron tests
            env: NUMPY_VERSION=$PREVIOUS_NUMPY
 
          - python: 3.6
+           stage: Comprehensive tests
            env: SETUP_CMD='build_docs -w'
                 EVENT_TYPE='push pull_request cron'
                 SPHINX_VERSION='<1.6'
 
          # Figure test runs use an env stored in the repo so don't have conda
          # requirements
          - python: 2.7
+           stage: Comprehensive tests
            env: SETUP_CMD='test --figure' CONDA_DEPENDENCIES=''
 
          - python: 3.5
+           stage: Comprehensive tests
            env: SETUP_CMD='test --figure' CONDA_DEPENDENCIES=''
 
 install:

CHANGELOG.rst

@@ -9,6 +9,13 @@ Bug Fixes
 - Fix docstring formatting for net.vso.attrs [#2309]]
 - Fix coloring of ticks under matplotlib 2.0 default style [#2320]
 - Always index arrays with tuples in `ImageAnimator` [#2320]
+- Misc Doc fixes [#2317] [#2289]
+- Misc Readme Changes [#2281] [#2283]
+- Fix matplotlib / pandas 0.21 bug in examples [#2336]
+- Fixes the off limb enhancement example [#2329]
+- Changes to masking hot pixels and picking bright pixels [#2325] [#2319]
+- Merged masking and finding brightest pixel examples [#2338]
+- Changed TRAVIS cronjobs [#2338]
 
 0.8.2
 =====

docs/guide/acquiring_data/fido.rst

@@ -22,8 +22,8 @@ Searching for Data Using Fido
 -----------------------------
 
 To search for data with Fido, you need to specify attributes to search against.
-The full list of allowed attributes can be found in the
-`vso.attrs <sunpy.net.vso.attrs>` module.
+The (partial) range of allowed attributes are found in the `vso.attrs <sunpy.net.vso.attrs>`
+and `jsoc.attrs <sunpy.net.jsoc.attrs>`.
 Examples of these attributes are `a.Time <sunpy.net.vso.attrs.Time>`,
 `a.Instrument <sunpy.net.vso.attrs.Instrument>`,
 `a.Wavelength <sunpy.net.vso.attrs.Wavelength>`, some of these attributes are

examples/finding_masking_bright_pixels.py

@@ -0,0 +1,61 @@
+"""
+=================================
+Finding and masking bright pixels
+=================================
+
+How to find and overplot the location of the brightest
+pixel and then mask any pixels out the area around this region.
+"""
+from __future__ import print_function, division
+
+import numpy as np
+import numpy.ma as ma
+import matplotlib.pyplot as plt
+
+import astropy.units as u
+
+import sunpy.map
+from sunpy.data.sample import AIA_171_IMAGE
+
+###############################################################################
+# We first create the Map using the sample data and import the coordinate
+# functionality.
+aia = sunpy.map.Map(AIA_171_IMAGE)
+
+###############################################################################
+# Now to find the single brightest pixel, we will maximium of the AIA image.
+# Note that we transform from pixel space to the world corodiate system.
+pixel_pos = np.argwhere(aia.data == aia.data.max())*u.pixel
+hpc_max = aia.pixel_to_world(pixel_pos[:, 1], pixel_pos[:, 0])
+
+###############################################################################
+# Let's now plot the results. We will overlay the SunPy lon/lat grid.
+fig = plt.figure()
+ax = plt.subplot(projection=aia)
+aia.plot()
+ax.plot_coord(hpc_max, 'bx', color='white', marker='x', markersize=15)
+plt.show()
+
+###############################################################################
+# Now we create a new custom AIAMap with a mask around the brightest pixel.
+# We have to build two arrays which include all of the x and y pixel indices.
+# These indices are for the entire image.
+# We must not forget to add the correct units because we will next pass
+# into a SunPy function which all require them.
+x, y = np.meshgrid(*[np.arange(v.value) for v in aia.dimensions]) * u.pixel
+
+###############################################################################
+# Now we can convert this to helioprojective coordinates and create a new
+# array which contains the normalized radial position for each pixel adjusted
+# for the position of the brightest pixel (using `hpc_max`).
+hpc_mask = aia.pixel_to_world(x, y)
+r_mask = np.sqrt((hpc_mask.Tx-hpc_max.Tx) ** 2 + (hpc_mask.Ty-hpc_max.Ty) ** 2) / aia.rsun_obs
+mask = ma.masked_less_equal(r_mask, 0.1)
+scaled_map = sunpy.map.Map(aia.data, aia.meta, mask=mask.mask)
+
+###############################################################################
+# Let's now plot the new Map!
+fig = plt.figure()
+ax = plt.subplot(projection=scaled_map)
+scaled_map.plot()
+plt.show()

sunpy/timeseries/tests/test_timeseries_factory.py

@@ -29,18 +29,15 @@
 # ==============================================================================
 
 filepath = sunpy.data.test.rootdir
-
 eve_filepath = os.path.join(filepath, 'EVE_L0CS_DIODES_1m_truncated.txt')
 fermi_gbm_filepath = os.path.join(filepath, 'gbm.fits')
 norh_filepath = os.path.join(filepath, 'tca110810_truncated')
-goes_filepath = os.path.join(filepath, 'goes.fits')
 lyra_filepath = os.path.join(filepath, 'lyra_20150101-000000_lev3_std_truncated.fits.gz')
 rhessi_filepath = os.path.join(filepath, 'hsi_obssumm_20120601_018_truncated.fits.gz')
 noaa_ind_filepath = os.path.join(filepath, 'RecentIndices_truncated.txt')
 noaa_pre_filepath = os.path.join(filepath, 'predicted-sunspot-radio-flux_truncated.txt')
-
-goes_filepath = os.path.join(filepath, 'go1520120601.fits.gz')
-
+goes_filepath_com = os.path.join(filepath, 'go1520120601.fits.gz')
+goes_filepath = os.path.join(filepath, 'go1520110607.fits')
 a_list_of_many = glob.glob(os.path.join(filepath, "eve", "*"))
 
 # ==============================================================================
@@ -102,6 +99,11 @@ def test_implicit_goes(self):
         ts_goes = sunpy.timeseries.TimeSeries(goes_filepath)
         assert isinstance(ts_goes, sunpy.timeseries.sources.goes.XRSTimeSeries)
 
+    def test_implicit_goes_com(self):
+        # Test a GOES TimeSeries
+        ts_goes = sunpy.timeseries.TimeSeries(goes_filepath_com)
+        assert isinstance(ts_goes, sunpy.timeseries.sources.goes.XRSTimeSeries)
+
     def test_implicit_lyra(self):
         # Test a LYRA TimeSeries
         ts_lyra = sunpy.timeseries.TimeSeries(lyra_filepath)
@@ -136,6 +138,11 @@ def test_goes(self):
         ts_goes = sunpy.timeseries.TimeSeries(goes_filepath, source='XRS')
         assert isinstance(ts_goes, sunpy.timeseries.sources.goes.XRSTimeSeries)
 
+    def test_goes_com(self):
+        #Test a GOES TimeSeries
+        ts_goes = sunpy.timeseries.TimeSeries(goes_filepath_com, source='XRS')
+        assert isinstance(ts_goes, sunpy.timeseries.sources.goes.XRSTimeSeries)
+
     def test_lyra(self):
         #Test a LYRA TimeSeries
         ts_lyra = sunpy.timeseries.TimeSeries(lyra_filepath, source='LYRA')