Fix NotImplementedError from pandas.offsets.MonthOffset().

apply() on object pandas.offsets.MonthOffsets() became obsolete, see pandas-dev/pandas#7707 (comment).
Caused NotImplementedErrors with SARAH and ERA5 cutouts.

Author: euronion

README.md

@@ -80,8 +80,7 @@ Getting started
 -   Install atlite from this repository with all its library
     dependencies\
     ```pip install git+https://github.com/FRESNA/atlite.git```
--   Download one of the weather datasets listed above:
-    * Data from ERA5 is downloaded automatically (TODO unclear: when and where?)
+-   Download one of the weather datasets, see notes below.
 -   Adjust the [atlite/config.py](atlite/config.py) directory paths to
     point to the directory where you downloaded the dataset
 -   Create a cutout, i.e. a geographical rectangle and a selection of
@@ -91,6 +90,14 @@ Getting started
     you want to aggregate for your time series, and pass it to the
     appropriate converter function - see [examples/](examples/)
 
+
+### Notes on accessing the different data sets
+
+| Data set | Note | Link |
+|----------|------|------|
+| ERA-5    | Data for this data set is downloaded automatically when creating a cutout. For this to function, the `ecmwfapirc` client has to be installed and a API key set up. See the link for detailed information. |  [ECMWF website](https://confluence.ecmwf.int/display/WEBAPI/Access+ECMWF+Public+Datasets)    |
+
+
 Licence
 -------
 

atlite/datasets/era5.py

@@ -93,7 +93,7 @@ def prepare_meta_era5(xs, ys, year, month, module):
         ds = _add_height(ds)
 
         t = pd.Timestamp(year=year, month=month, day=1)
-        ds['time'] = pd.date_range(t, t + pd.offsets.MonthOffset(),
+        ds['time'] = pd.date_range(t, t + pd.DateOffset(months=1),
                                    freq='1h', closed='left')
 
         return ds.load()

atlite/datasets/sarah.py

@@ -74,7 +74,7 @@ def prepare_meta_sarah(xs, ys, year, month, template_sis, template_sid, module,
         ds = ds.coords.to_dataset()
 
         t = pd.Timestamp(year=year, month=month, day=1)
-        ds['time'] = pd.date_range(t, t + pd.offsets.MonthOffset(),
+        ds['time'] = pd.date_range(t, t + pd.DateOffset(months=1),
                                    freq='1h', closed='left')
 
         if resolution is not None:

setup.py

@@ -18,7 +18,7 @@
     include_package_data=True,
     python_requires='>3.0',
     install_requires=['numpy', 'scipy', 'pandas', 'xarray>=0.10.0', 'dask',
-                      'rasterio', 'shapely', 'bottleneck',
+                      'rasterio', 'shapely', 'bottleneck', 'pyproj'
                       'toolz'],
     classifiers=[
         'Development Status :: 3 - Alpha',