Merge pull request #26 from ConorMacBride/remove-log-scale

Remove log scale from mcalf.visualisation.bar
ConorMacBride · Apr 13, 2021 · 72014db · 72014db
2 parents 1f7870c + a2a1144
commit 72014db
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Showing 7 changed files with 6 additions and 6 deletions.
diff --git a/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar.png b/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar.png
diff --git a/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar_allbad.png b/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar_allbad.png
diff --git a/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar_range.png b/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar_range.png
diff --git a/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar_reduce.png b/src/mcalf/tests/baseline_mpl_334_ft_261/test_bar_reduce.png
diff --git a/src/mcalf/tests/baseline_mpl_334_ft_261/test_plot_bar_and_class_map.png b/src/mcalf/tests/baseline_mpl_334_ft_261/test_plot_bar_and_class_map.png
diff --git a/src/mcalf/tests/figure_hashes_mpl_334_ft_261.json b/src/mcalf/tests/figure_hashes_mpl_334_ft_261.json
@@ -35,16 +35,16 @@
   "mcalf.tests.visualisation.test_classifications.test_plot_classifications_4x1": "a0423741fff2b53026539c369224f1ddd0d33dd7c1d617961347d0b0fd342775",
   "mcalf.tests.visualisation.test_classifications.test_plot_classifications_3x2": "02b608424712492ebb8bfc348060b75275f8e33e94ec02d9919c41dc7ee349a7",
   "mcalf.tests.visualisation.test_classifications.test_plot_classifications_not01": "f0a337d216a30ad643168a59f25337dd935ce1e836feeffa99d2cfbaa33fa2f7",
-  "mcalf.tests.visualisation.test_classifications.test_bar": "5ac76da5cde2d6fb9bd56b5de7755038361065aa3baa378f029c06d7975b067d",
-  "mcalf.tests.visualisation.test_classifications.test_bar_range": "6fc4d3b0d008c18340ba0cad26da6ab208139ca6d0166b56199359f6efe31be5",
-  "mcalf.tests.visualisation.test_classifications.test_bar_reduce": "f20c3d19c5b9b5589068252a844553a30afd360977915c596b9e0e0eac0e942e",
-  "mcalf.tests.visualisation.test_classifications.test_bar_allbad": "2d0f5291fed08244d0047a9f2e1fbcaae5e138ae92d5dc7cb0fed8f1c3a81bad",
+  "mcalf.tests.visualisation.test_classifications.test_bar": "14b8b6b866e6e79f78422be8a2eddc1dd32ff4c2a8f6186ec6d574c64c096616",
+  "mcalf.tests.visualisation.test_classifications.test_bar_range": "4d1275dbe9161dfe2dd7d179d0aed297a051813c5c1cd38cc15441a15e283838",
+  "mcalf.tests.visualisation.test_classifications.test_bar_reduce": "1df01c53b7003e077c4252612055989eaaf9ac44d22cd27f04cc4f3e6aceb859",
+  "mcalf.tests.visualisation.test_classifications.test_bar_allbad": "4a13c89e8e6b90406679544c0ace341011841c4a0e5e05bfa8cfbb71bf900010",
   "mcalf.tests.visualisation.test_classifications.test_plot_class_map": "00370982ff1c8a9faebc75934eb543efcd2af05f727505b2cfbbc89a6e1389d6",
   "mcalf.tests.visualisation.test_classifications.test_plot_class_map_nocolorbar": "ea8804d898ff62767aa055f81bdacfd2afef68d663d0b2670bc006bc93d7c289",
   "mcalf.tests.visualisation.test_classifications.test_plot_class_map_range": "e1fed8e6f20f1630a7f64d1df8c9f57685bceb7862f8a5f8b11ae554990766ce",
   "mcalf.tests.visualisation.test_classifications.test_plot_class_map_units": "3737733a86ca318cfa6bde65cf922934f269b72cba90c75361971221000fbd27",
   "mcalf.tests.visualisation.test_classifications.test_plot_class_map_allbad": "944e89a497b2e481fe6f61552964d1c183cd39e778113ac366a3ff55dce107a5",
-  "mcalf.tests.visualisation.test_classifications.test_plot_bar_and_class_map": "6a341082b466fb7157b355bd794aa5d9574b5e201b42f0f5735c33a23fb4da91",
+  "mcalf.tests.visualisation.test_classifications.test_plot_bar_and_class_map": "af1291cf4c4a04efd98fc0a69fe92ba422742e332d8018fbe5ce5b18a748d6c2",
   "mcalf.tests.visualisation.test_spec.test_plot_spectrum": "79afa94c229e75646304b14bb388df30f23d6fd06ac82cfa4443ab05fc4c4a4a",
   "mcalf.tests.visualisation.test_spec.test_plot_spectrum_no_smooth": "c4bf62988715825cecaf75e03b66c05231854e5b84962fbd03f11e1c381e1273",
   "mcalf.tests.visualisation.test_spec.test_plot_spectrum_no_norm": "f4a52acdbb2a614e0a775ff7833a95151bf6188126286d1eb87fedef7f324711",

diff --git a/src/mcalf/visualisation/classifications.py b/src/mcalf/visualisation/classifications.py
@@ -218,7 +218,7 @@ def bar(class_map=None, vmin=None, vmax=None, reduce=True, style='original', cma
 
     b = ax.bar(data['classes'], d, color=data['cmap'](np.arange(len(data['classes']))))
 
-    ax.set(xlabel='classification', ylabel='abundance (%)', yscale='log', ylim=(0.01, 100),
+    ax.set(xlabel='classification', ylabel='abundance (%)',
            xticks=data['classes'], xticklabels=data['classes'])
 
     return b