test: split plot tests into finer-scoped files

autotest/test_model_dot_plot.py

@@ -0,0 +1,76 @@
+from os import listdir
+from os.path import join
+
+import pytest
+from flaky import flaky
+from matplotlib import rcParams
+
+from flopy.mf6 import MFSimulation
+from flopy.modflow import Modflow
+
+
+@pytest.mark.mf6
+def test_vertex_model_dot_plot(example_data_path):
+    rcParams["figure.max_open_warning"] = 36
+
+    # load up the vertex example problem
+    sim = MFSimulation.load(
+        sim_ws=example_data_path / "mf6" / "test003_gwftri_disv"
+    )
+    disv_ml = sim.get_model("gwf_1")
+    ax = disv_ml.plot()
+    assert isinstance(ax, list)
+    assert len(ax) == 36
+
+
+# occasional _tkinter.TclError: Can't find a usable tk.tcl (or init.tcl)
+# similar: https://github.com/microsoft/azure-pipelines-tasks/issues/16426
+@flaky
+def test_model_dot_plot(function_tmpdir, example_data_path):
+    loadpth = example_data_path / "mf2005_test"
+    ml = Modflow.load("ibs2k.nam", "mf2k", model_ws=loadpth, check=False)
+    ax = ml.plot()
+    assert isinstance(ax, list), "ml.plot() ax is is not a list"
+    assert len(ax) == 18, f"number of axes ({len(ax)}) is not equal to 18"
+
+
+def test_dataset_dot_plot(function_tmpdir, example_data_path):
+    loadpth = example_data_path / "mf2005_test"
+    ml = Modflow.load("ibs2k.nam", "mf2k", model_ws=loadpth, check=False)
+
+    # plot specific dataset
+    ax = ml.bcf6.hy.plot()
+    assert isinstance(ax, list), "ml.bcf6.hy.plot() ax is is not a list"
+    assert len(ax) == 2, f"number of hy axes ({len(ax)}) is not equal to 2"
+
+
+def test_dataset_dot_plot_nlay_ne_plottable(
+    function_tmpdir, example_data_path
+):
+    import matplotlib.pyplot as plt
+
+    loadpth = example_data_path / "mf2005_test"
+    ml = Modflow.load("ibs2k.nam", "mf2k", model_ws=loadpth, check=False)
+    # special case where nlay != plottable
+    ax = ml.bcf6.vcont.plot()
+    assert isinstance(
+        ax, plt.Axes
+    ), "ml.bcf6.vcont.plot() ax is is not of type plt.Axes"
+
+
+def test_model_dot_plot_export(function_tmpdir, example_data_path):
+    loadpth = example_data_path / "mf2005_test"
+    ml = Modflow.load("ibs2k.nam", "mf2k", model_ws=loadpth, check=False)
+
+    fh = join(function_tmpdir, "ibs2k")
+    ml.plot(mflay=0, filename_base=fh, file_extension="png")
+    files = [f for f in listdir(function_tmpdir) if f.endswith(".png")]
+    if len(files) < 10:
+        raise AssertionError(
+            "ml.plot did not properly export all supported data types"
+        )
+
+    for f in files:
+        t = f.split("_")
+        if len(t) < 3:
+            raise AssertionError("Plot filenames not written correctly")