Version numbering updated

README.md

@@ -14,6 +14,14 @@ This package is only for the generation of storm wind fields, stress and pressur
 
 ### Installation
 
+For use, install using `pip`:
+
+```
+pip install paratc
+```
+
+If you will be using interpolation methods (e.g. to export to ROMS file), make sure you python version is >= 3.9.
+
 For development:
 
 1. Clone this repository and change directory into it.

src/paratc/__init__.py

@@ -1,2 +1 @@
-from ._make_example_data import make_example_data
-from _version import __version__
+from ._make_example_data import make_example_data

src/paratc/_version.py

@@ -1 +1 @@
-__version__ = '0.1.0'
+__version__ = '0.1.3'

src/paratc/tc_models/_tc_model.py

@@ -2,7 +2,6 @@
 from paratc import tctools, inflow_models, bg_models, stress_models, rmw_models
 from paratc import _utils, _const, _output_formats
 import xarray as xr
-import xesmf as xe
 import os
 import matplotlib.pyplot as plt
 
@@ -259,8 +258,10 @@ def make_windspeed_from_uv(self):
     def interpolate_to_arakawa(self, lon_u, lat_u, lon_v, lat_v):
         ''' Interpolate the current tropical cyclone onto an Arakawa rho, U, V grid.
         This function uses XESMF to interpolate the dataset in space.
+        Make sure your python version is >= 3.9.
         '''
 
+        import xesmf as xe
         data = self.data
 
         # Find lists of variables present in dataset
@@ -296,6 +297,7 @@ def to_ROMS(self, ds_grd, rotate_to_grid = True ):
 
         Dataset will be interpolated onto U and V coordinates using interpolate_to_arakawa(),
         which uses XESMF. Variables will be renamed and relevant attributes will be added.
+        Make sure your python version is >= 3.9.
 
         Args:
             ds_grd (xr.Dataset): ROMS grid in xarray Dataset form, opened from netcdf.