diff --git a/cheta/tests/test_orbit.py b/cheta/tests/test_orbit.py
index 39ea78ed..98fc689a 100644
--- a/cheta/tests/test_orbit.py
+++ b/cheta/tests/test_orbit.py
@@ -32,5 +32,5 @@ def test_orbital_elements():
         "mean_anomaly": 354.971325,
     }  # 354.9724 in reference (roundoff in example)
 
-    for key in expected:
+    for key in expected:  # noqa: PLC0206
         assert np.allclose(out[key], expected[key], atol=0.0, rtol=1e-6)
diff --git a/test/compare_regr_vals.py b/test/compare_regr_vals.py
index 72490063..b0df41ff 100755
--- a/test/compare_regr_vals.py
+++ b/test/compare_regr_vals.py
@@ -65,7 +65,9 @@ def get_options():
             if attr not in f:
                 continue
             if len(f[attr]) != len(t[attr]):
-                print(f"[NOT OK] {msid} {stat}: Length mismatch: {len(f[attr])} {len(t[attr])}")
+                print(
+                    f"[NOT OK] {msid} {stat}: Length mismatch: {len(f[attr])} {len(t[attr])}"
+                )
                 all_ok = False
                 continue
             if attr == "quals":
diff --git a/test/make_plots.py b/test/make_plots.py
index 325fce85..b62019f8 100755
--- a/test/make_plots.py
+++ b/test/make_plots.py
@@ -5,31 +5,31 @@
 # run in pylab
 
 import os
-import sys
-from matplotlib.pyplot import *
 
-import cheta.fetch_sci as fetch
+import matplotlib.pyplot as plt
 from ska_matplotlib import plot_cxctime
 
-print('Fetch file is', fetch.__file__)
-print('ENG_ARCHIVE is', os.environ['ENG_ARCHIVE'])
+import cheta.fetch_sci as fetch
+
+print("Fetch file is", fetch.__file__)
+print("ENG_ARCHIVE is", os.environ["ENG_ARCHIVE"])
 
-msids = ('1crat', 'fptemp_11', 'orbitephem0_x', 'sim_z', 'tephin')
+msids = ("1crat", "fptemp_11", "orbitephem0_x", "sim_z", "tephin")
 rootdir = os.path.dirname(__file__)
 
 for ifig, msid in enumerate(msids):
-    figure(ifig+1)
-    clf()
-    dat = fetch.MSID(msid, '2024:002', '2024:008', filter_bad=True)
-    dat5 = fetch.MSID(msid, '2024:002',  '2024:008',stat='5min')
-    datday = fetch.MSID(msid, '2024:002', '2024:008', stat='daily')
-    subplot(3, 1, 1)
-    plot_cxctime(dat.times, dat.vals, '-b')
-    grid()
-    subplot(3, 1, 2)
-    plot_cxctime(dat5.times, dat5.means, '-r')
-    grid()
-    subplot(3, 1, 3)
-    plot_cxctime(datday.times, datday.means, '-c')
-    grid()
-    savefig(os.path.join(rootdir, 'plot_{0}.png'.format(msid)))
+    plt.figure(ifig + 1)
+    plt.clf()
+    dat = fetch.MSID(msid, "2024:002", "2024:008", filter_bad=True)
+    dat5 = fetch.MSID(msid, "2024:002", "2024:008", stat="5min")
+    datday = fetch.MSID(msid, "2024:002", "2024:008", stat="daily")
+    plt.subplot(3, 1, 1)
+    plot_cxctime(dat.times, dat.vals, "-b")
+    plt.grid()
+    plt.subplot(3, 1, 2)
+    plot_cxctime(dat5.times, dat5.means, "-r")
+    plt.grid()
+    plt.subplot(3, 1, 3)
+    plot_cxctime(datday.times, datday.means, "-c")
+    plt.grid()
+    plt.savefig(os.path.join(rootdir, "plot_{0}.png".format(msid)))