Add setup script (#1)

* Add setup script

* Add install instructions to README

README.md

@@ -1,2 +1,21 @@
 # shapecutter
 Cut data out of raster arrays based on Shapely Polygons
+
+
+## Install
+
+Download the source or clone from GitHub, navigate to the downloaded source then use pip to run the local setup script directly:
+
+```bash
+cd shapecutter
+pip install -e .
+```
+
+**Note:** this will install dependencies from pip. During testing there were some issues installing Cartopy 0.19.0 from pip. To work around this you might be better pre-installing the dependencies directly, for example by using conda:
+
+```bash
+conda create -n shapecutter -c conda-forge iris shapely geopandas
+conda activate shapecutter
+```
+
+And then install shapecutter, as above.

setup.py

@@ -0,0 +1,28 @@
+import setuptools
+
+
+with open("README.md", "r") as fh:
+    long_description = fh.read()
+
+setuptools.setup(
+    name="shapecutter",
+    version="0.0.1",
+    author="Peter Killick",
+    author_email="peter.killick@informaticslab.co.uk",
+    description="Cut data out of raster arrays around shapely geometries",
+    long_description=long_description,
+    long_description_content_type="text/markdown",
+    url="https://github.com/informatics-lab/shapecutter",
+    packages=setuptools.find_packages(),
+    classifiers=[
+        "Programming Language :: Python :: 3",
+        "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
+        "Operating System :: OS Independent",
+    ],
+    python_requires=">=3.7",
+    install_requires=[
+        "geopandas>=0.9.0",
+        "scitools-iris>=2.4.0",
+        "Shapely>=1.7.0"
+    ]
+)

shapecutter/cutter.py

@@ -122,7 +122,6 @@ def _cut_to_boundary(self, subset, geometry_ref):
             else:
                 raise
         else:
-            print(f"[_boundary] - subset shape: {subset.shape}, mask shape: {mask_2d.shape}")
             result = self.data_provider.apply_mask(subset, mask_2d, dims_2d)
         return result
 
@@ -141,7 +140,6 @@ def cut_dataset(self, geometry_ref, to="bbox"):
         """
         # 1. extract subset to the shapefile's bounding box.
         subset = self.geometry_bbox_dataset(geometry_ref)
-        print(f"[cut_dataset] - subset shape: {subset.shape}")
 
         if to == "bbox":
             result = subset