CI: First changes to try to fix CI. (#858)

* CI: First changes to try to fix CI.

* FIX: Fix for dimensions issue.

* FIX: Update test plots.

* STY: PEP8.

* FIX: Update datarose plot.

* Update .github/workflows/ci.yml

Co-authored-by: Max Grover <[email protected]>

* Update ci.yml

* Update ci.yml

* FIX: Fix syntax in windrosedisplay...

* CI: Move some pip installs to conda.

---------

Co-authored-by: Max Grover <[email protected]>

.github/workflows/ci.yml

@@ -34,7 +34,7 @@ jobs:
       matrix:
         python-version: ["3.9", "3.10", "3.11", "3.12"]
         os: [macOS, ubuntu, Windows]
-        inlcude:
+        include:
           - os: macos-latest
             PLAT: arm64
             INTERFACE64: ""
@@ -49,6 +49,7 @@ jobs:
           create-args: python=${{ matrix.python-version }}
           environment-file: ./continuous_integration/environment_actions.yml
           environment-name: act_env
+          micromamba-version: 1.5.10-0
 
       - name: Install ACT
         run: |

act/plotting/windrosedisplay.py

@@ -407,9 +407,9 @@ def plot_data(
                 # Produce direction (x-axis) and speed (y-axis) plots displaying the mean
                 # as the contours.
                 spd_data = ds[spd_field].values
-                spd_bins = np.linspace(0, ds[spd_field].max(), num_data_bins + 1)
+                spd_bins = np.linspace(0, ds[spd_field].max().values, num_data_bins + 1)
                 spd_bins = np.insert(spd_bins, 1, calm_threshold)
-                #  Set up an array and cycle through the data, binning them by speed/direction
+                # Set up an array and cycle through the data, binning them by speed/direction
                 mean_data = np.zeros([len(bins), len(spd_bins)])
                 for i in range(len(bins) - 1):
                     for j in range(len(spd_bins)):
@@ -432,7 +432,6 @@ def plot_data(
                 mean_data = np.insert(mean_data, -1, mean_data[0, :], axis=0)
                 bins.append(bins[0])
                 mean_data[-1, :] = mean_data[0, :]
-
                 # In order to properly handle vmin/vmax in contours, need to adjust
                 # the levels plotted and remove the keywords to contourf
                 vmin = np.nanmin(mean_data)

continuous_integration/environment_actions.yml

@@ -2,7 +2,6 @@
 name: act_env
 channels:
   - conda-forge
-  - defaults
 dependencies:
   - cartopy
   - pyproj
@@ -13,7 +12,6 @@ dependencies:
   - dask
   - xarray
   - ipython
-  - pint=0.8.1
   - skyfield
   - lxml
   - scikit-posthocs
@@ -28,12 +26,11 @@ dependencies:
   - cmweather
   - moviepy
   - ruff
+  - metpy
+  - arm_pyart
   - pip
   - pip:
     - mpl2nc
-    - metpy
     - pysp2
-    - arm_pyart
     - icartt
-    - aiohttp>=3.9.0b1
     - git+https://github.com/ARM-DOE/arm-test-data.git