Pin earthpy to latest version 0.9.1

[pyup-bot]

This PR pins earthpy to the latest release 0.9.1.

Changelog

0.9

* Add flake 8 (lwasser, 519)
* Remove conda envt for RTD build (lwasser, 518)
* Deprecate clip function from earthpy given it's moved to geopandas now (nkorinek, 510)
* Fix twitter flood data key in get_data (lwasser, 512)
* Added new landsat data as a download option to get_data (nkorinek)
* Fix clip vignette. Cant plot w empty geoms (lwasser, 475)

0.8

* JOSS paper and pyopensci review completed release!

0.7.6

* no significant changes but pyopensci approval and badge added.

0.7.5

* Changed variable name for `angle_altitude` to `altitude` in `hillshade()` (nkorinek, 436)
* Added alpha arguments to `hist()` and `plot_bands()` (nkorinek, 409, 410)
* Add vignette to download data from URLs and EarthPy using `data.get_data()` function (jlpalomino, 396)

0.7.4

* Added alpha arguments to `hist()` and `plot_bands()` (nkorinek, 409, 410)

0.7.3

* Update `hist()` function to support masked arrays and single-dim arrays (nkorinek, lwasser 390)
* Add vignette for using the `clip_shp()` function (nkorinek, 378)

0.7.2

* Fix to the colorado-flood dataset which had nested folders (lwasser, 387)

0.7.1

* 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)

0.7.0

* 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 called `crop_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)

0.6.9

* Add URL to io.py for Landsat vignette dataset (jpalomino, 309)
* A multi-point, polygon and line support to clip function (lwasser, nkorinek, 236)

0.6.8

* 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)

0.6.7

* Add NoData masking support for `stack()` (joemcglinchy, 282)
* Fix multiline messages to use `"` vs `"""` (lwasser, 270)

0.6.6

* 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)

0.6.5

* 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)

0.6.2

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.

Changed
- `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()` replaces `stack_raster_tifs()`, which is now deprecated.
The new `stack()` function
works similarly to `stack_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()`

Added
* `draw_legend()` works now on different types of categorical raster plots.
* `colorbar()` has also been fixed to work given updates to `Matplotlib`
* 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`

Deprecated
* `stack_raster_tifs()` has been deprecated and replaced with `stack()`.

Links

• PyPI: https://pypi.org/project/earthpy
• Changelog: https://pyup.io/changelogs/earthpy/
• Repo: https://github.com/earthlab/earthpy

[codecov-commenter]

Codecov Report

Merging #36 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master      #36   +/-   ##
=======================================
  Coverage   87.17%   87.17%           
=======================================
  Files           4        4           
  Lines         195      195           
=======================================
  Hits          170      170           
  Misses         25       25           

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