diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index d8e2ff3e..c2be3909 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -80,8 +80,6 @@ jobs:
 
     - name: Test snakemake workflow
       run: |
-        conda activate pypsa-eur
-        conda list
         snakemake -call solve_elec_networks --configfile config/test/config.electricity.yaml --rerun-triggers=mtime
         snakemake -call all --configfile config/test/config.overnight.yaml --rerun-triggers=mtime
         snakemake -call all --configfile config/test/config.myopic.yaml --rerun-triggers=mtime
diff --git a/scripts/solve_network.py b/scripts/solve_network.py
index 13027a8a..98b65737 100644
--- a/scripts/solve_network.py
+++ b/scripts/solve_network.py
@@ -280,13 +280,13 @@ def add_EQ_constraints(n, o, scaling=1e-1):
     float_regex = "[0-9]*\.?[0-9]+"
     level = float(re.findall(float_regex, o)[0])
     if o[-1] == "c":
-        ggrouper = n.generators.bus.map(n.buses.country).to_xarray()
-        lgrouper = n.loads.bus.map(n.buses.country).to_xarray()
-        sgrouper = n.storage_units.bus.map(n.buses.country).to_xarray()
+        ggrouper = n.generators.bus.map(n.buses.country)
+        lgrouper = n.loads.bus.map(n.buses.country)
+        sgrouper = n.storage_units.bus.map(n.buses.country)
     else:
-        ggrouper = n.generators.bus.to_xarray()
-        lgrouper = n.loads.bus.to_xarray()
-        sgrouper = n.storage_units.bus.to_xarray()
+        ggrouper = n.generators.bus
+        lgrouper = n.loads.bus
+        sgrouper = n.storage_units.bus
     load = (
         n.snapshot_weightings.generators
         @ n.loads_t.p_set.groupby(lgrouper, axis=1).sum()
@@ -300,7 +300,7 @@ def add_EQ_constraints(n, o, scaling=1e-1):
     p = n.model["Generator-p"]
     lhs_gen = (
         (p * (n.snapshot_weightings.generators * scaling))
-        .groupby(ggrouper)
+        .groupby(ggrouper.to_xarray())
         .sum()
         .sum("snapshot")
     )
@@ -309,7 +309,7 @@ def add_EQ_constraints(n, o, scaling=1e-1):
         spillage = n.model["StorageUnit-spill"]
         lhs_spill = (
             (spillage * (-n.snapshot_weightings.stores * scaling))
-            .groupby(sgrouper)
+            .groupby(sgrouper.to_xarray())
             .sum()
             .sum("snapshot")
         )