Merge pull request #5 from axiom-data-science/update_now

updates to get working now

README.md

@@ -5,6 +5,7 @@ intake-coops
 [![codecov](https://codecov.io/gh/axiom-data-science/intake-coops/branch/main/graph/badge.svg)](https://codecov.io/gh/axiom-data-science/intake-coops) -->
 [![License:MIT](https://img.shields.io/badge/License-MIT-green.svg?style=for-the-badge)](https://opensource.org/licenses/MIT)
 <!-- [![conda-forge](https://img.shields.io/conda/dn/conda-forge/intake-coops?label=conda-forge)](https://anaconda.org/conda-forge/intake-coops)[![Documentation Status](https://readthedocs.org/projects/intake-coops/badge/?version=latest)](https://intake-coops.readthedocs.io/en/latest/?badge=latest) -->
+[![Python Package Index](https://img.shields.io/pypi/v/intake-coops.svg?style=for-the-badge)](https://pypi.org/project/intake-coops)
 
 
 Intake interface to NOAA CO-OPS data
@@ -13,13 +14,22 @@ Uses the [`noaa_coops`](https://github.com/GClunies/noaa_coops) package to read
 
 Currently limited to currents only with limited selections. Returns an `xarray` Dataset, but there are `intake` Sources for both `DataFrame` and `xarray`.
 
+This is intake v1 still.
+
 --------
 
 <p><small>Project based on the <a target="_blank" href="https://github.com/jbusecke/cookiecutter-science-project">cookiecutter science project template</a>.</small></p>
 
 
 # Installation
 
+## PyPI
+
+    >>> pip install intake-coops
+
+
+## Local installation
+
 Clone from github (HTTPS or SSH)
 
     >>> git clone https://github.com/axiom-data-science/intake-coops.git

intake_coops/coops.py

@@ -151,9 +151,9 @@ def _load(self):
             "standard_name": "depth",
             "axis": "Z",
         }
-        self._ds["longitude"] = self.metadata["minLongitude"]
+        self._ds["longitude"] = self.metadata["lon"]
         self._ds["longitude"].attrs = {"standard_name": "longitude"}
-        self._ds["latitude"] = self.metadata["minLatitude"]
+        self._ds["latitude"] = self.metadata["lat"]
         self._ds["latitude"].attrs = {"standard_name": "latitude"}
         self._ds = self._ds.assign_coords(
             {"longitude": self._ds["longitude"], "latitude": self._ds["latitude"]}