All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- JOSS paper and pyopensci review completed release!
- no significant changes but pyopensci approval and badge added.
- Changed variable name for
angle_altitude
toaltitude
inhillshade()
(@nkorinek, #436) - Added alpha arguments to
hist()
andplot_bands()
(@nkorinek, #409, #410) - Add vignette to download data from URLs and EarthPy using
data.get_data()
function (@jlpalomino, #396)
- Added alpha arguments to
hist()
andplot_bands()
(@nkorinek, #409, #410)
- Update
hist()
function to support masked arrays and single-dim arrays (@nkorinek, @lwasser #390) - Add vignette for using the
clip_shp()
function (@nkorinek, #378)
- Fix to the colorado-flood dataset which had nested folders (@lwasser, #387)
- Updated colorado-flood dataset to fix file name (@lwasser, no associated issue)
- Add vignette for using the hist() function (@nkorinek, #331)
- Added file explaining all of the dataset available through EarthPy (@nkorinek, #369)
- Added
es.crop_image()
example to the stack/crop vignette (@nkorinek, #368)
- Added twitter flood dataset to
io.py
(@nkorinek, #367) - Add example vignette for using the hillshade function (@nkorinek, #329)
- Modified
es.spatial()
to include a function calledcrop_all()
that crops a list of images (@nkorinek, #333) - Updated stack to ensure inputs are of same rows/cols/bands, CRS, and Affine transform (@joemcglinchy, #334)
- Add vignette for using the plot_bands() function (@nkorinek, #315)
- Add example vignette for stacking and cropping raster bands with EarthPy (@nkorinek, #267)
- Add example vignette for plotting band combinations with EarthPy (@jlpalomino, #306)
- Add URL to io.py for Landsat vignette dataset (@jpalomino, #309)
- A multi-point, polygon and line support to clip function (@lwasser, @nkorinek, #236)
- Add multi-panel plotting to plot_bands (@lwasser, #316)
- Fix bug in plot_rgb where multipanel plots are blank (@lwasser, #313)
- Add example vignette for calculating and classifying NDVI with EarthPy (@jlpalomino, #266)
- Add NoData masking support for
stack()
(@joemcglinchy, #282) - Fix multiline messages to use
"
vs"""
(@lwasser, #270)
- Add sphinx gallery for vignettes and update get started page (@lwasser #279, #203)
- Add two example vignettes for using EarthPy with raster data (@lwasser)
- Fix bug in
bytescale()
- ensure math to calc range is floating point vals (@lwasser #282) - Fix tests for
bytescale()
to ensure the bug raised in #282 is fixed / tested; also added comment to plot_rgb docs to ensure users consider nodata values before plotting (@lwasser #282)
- Add continuous integration testing on osx via Travis CI (@mbjoseph #228)
- Add cbar legend to
plot_bands()
and scaling parameters (@lwasser #274) - BUGFIX:
plot_bands()
doesn't plot single string titles properly + add test (@lwasser #258) - Remove dependency on download library (@mbjoseph #249)
- BUGFIX:
draw_legend()
fails when classes are provided (@lwasser #253) - Remove
earthpy.utils.fix_paths()
as it is not used in the package (@lwasser #259) - Adding tests for
hillshade()
and improved docs (@jpalomino #260) - Closing plots in tests (@lwasser #257)
- Added a code of conduct (@mbjoseph, #27)
- Added CI testing across python versions and on Windows (@mbjoseph, #228)
- Added tests for
EarthlabData
class (@mbjoseph, #37)
We have made significant changes in preparation for a 1.0 release on PyPI. If you have used EarthPy previously, please review the changes below. You may need to update your code accordingly.
normalized_diff()
function arguments have been flipped. Please update all of your old code accordingly. Changes include:- Arguments are now provided as normalized_diff(b1, b2)
- Math will be calculated (b1-b2) / (b1+b2)
- Example:
ndvi = es.normalized_diff(b1=nir_band, b2=red_band)
normalized_diff()
now:- returns unmasked array by default
- returns masked array if there are nan values present
- converts infinity values that result from division by zero to nan values
stack()
replacesstack_raster_tifs()
, which is now deprecated. The newstack()
function works similarly tostack_raster_tifs
. Inputs parameters are now a list of filepaths and an optional filepath parameter that when populated saves the stacked raster array as a geotiff file. The default return is a numpy ndarray.- The parameter order for
bytescale
has changed:- PREVIOUS ORDER: data, cmin=None, cmax=None, high=255, low=0
- NEW ORDER: data, high=255, low=0, cmin=None, cmax=None
- All plot functions moved to a new
earthpy.plot
module. To import plot functions first import the plot module:import earthpy.plot as ep
. Then you can call functions as follows:ep.plot_rgb()
ep.draw_legend()
ep.hist()
ep.colorbar()
ep.plot_bands()
draw_legend()
works now on different types of categorical raster plots.colorbar()
has also been fixed to work given updates toMatplotlib
- A new mask function has been released as
mask_pixels()
. - We now have tests through
pytest
that run on Travis CI. - API documentation is now generated automatically from docstrings with
autodoc
. - Example code in documentation is tested using
doctest
stack_raster_tifs()
has been deprecated and replaced withstack()
.