From 6e715d885755addaeb9c0cb8234d6db2b084af43 Mon Sep 17 00:00:00 2001 From: Feda Curic Date: Thu, 22 Aug 2024 11:54:50 +0200 Subject: [PATCH] Add box-plots to standard deviation plot - test for stddev plot - Update baseline image for test_that_all_snake_oil_visualisations_matches_snapshot - Remove redudant image files Co-authored by Feda Curic --- src/ert/gui/plottery/plots/std_dev.py | 78 ++++++++++++++---- ...isations_matches_snapshot_plot_figure0.png | Bin 75041 -> 0 bytes ...isations_matches_snapshot_plot_figure1.png | Bin 102236 -> 0 bytes ...isations_matches_snapshot_plot_figure2.png | Bin 21015 -> 0 bytes ...ations_matches_snapshot_plot_figure3-0.png | Bin 17147 -> 54922 bytes ...isations_matches_snapshot_plot_figure3.png | Bin 12881 -> 0 bytes ...isations_matches_snapshot_plot_figure4.png | Bin 27605 -> 0 bytes ...isations_matches_snapshot_plot_figure5.png | Bin 33518 -> 0 bytes ...isations_matches_snapshot_plot_figure6.png | Bin 26740 -> 0 bytes .../gui/test_plotting_of_snake_oil.py | 16 ++-- .../gui/plottery/test_stddev_plot.py | 49 +++++++++++ 11 files changed, 123 insertions(+), 20 deletions(-) delete mode 100644 tests/ert/ui_tests/gui/baseline/test_that_all_snake_oil_visualisations_matches_snapshot_plot_figure0.png delete mode 100644 tests/ert/ui_tests/gui/baseline/test_that_all_snake_oil_visualisations_matches_snapshot_plot_figure1.png delete mode 100644 tests/ert/ui_tests/gui/baseline/test_that_all_snake_oil_visualisations_matches_snapshot_plot_figure2.png delete mode 100644 tests/ert/ui_tests/gui/baseline/test_that_all_snake_oil_visualisations_matches_snapshot_plot_figure3.png delete mode 100644 tests/ert/ui_tests/gui/baseline/test_that_all_snake_oil_visualisations_matches_snapshot_plot_figure4.png delete mode 100644 tests/ert/ui_tests/gui/baseline/test_that_all_snake_oil_visualisations_matches_snapshot_plot_figure5.png delete mode 100644 tests/ert/ui_tests/gui/baseline/test_that_all_snake_oil_visualisations_matches_snapshot_plot_figure6.png create mode 100644 tests/ert/unit_tests/gui/plottery/test_stddev_plot.py diff --git a/src/ert/gui/plottery/plots/std_dev.py b/src/ert/gui/plottery/plots/std_dev.py index ee8c60159ae..4c6d55aa6f1 100644 --- a/src/ert/gui/plottery/plots/std_dev.py +++ b/src/ert/gui/plottery/plots/std_dev.py @@ -1,4 +1,4 @@ -from typing import Any, Dict, List +from typing import Any, Dict import matplotlib.pyplot as plt import numpy as np @@ -28,15 +28,21 @@ def plot( if layer is not None: vmin: float = np.inf vmax: float = -np.inf - axes = [] - images: List[npt.NDArray[np.float32]] = [] + heatmaps = [] + boxplot_axes = [] + + # Adjust height_ratios to reduce space between plots + figure.set_layout_engine("constrained") + gridspec = figure.add_gridspec(2, ensemble_count, hspace=0.2) + for i, ensemble in enumerate(plot_context.ensembles(), start=1): - ax = figure.add_subplot(1, ensemble_count, i) - axes.append(ax) + ax_heat = figure.add_subplot(gridspec[0, i - 1]) + ax_box = figure.add_subplot(gridspec[1, i - 1]) data = std_dev_data[ensemble.name] if data.size == 0: - ax.set_axis_off() - ax.text( + ax_heat.set_axis_off() + ax_box.set_axis_off() + ax_heat.text( 0.5, 0.5, f"No data for {ensemble.experiment_name} : {ensemble.name}", @@ -44,24 +50,66 @@ def plot( va="center", ) else: - images.append(data) vmin = min(vmin, float(np.min(data))) vmax = max(vmax, float(np.max(data))) - ax.set_title( + + im = ax_heat.imshow(data, cmap="viridis", aspect="equal") + heatmaps.append(im) + + ax_box.boxplot(data.flatten(), vert=True, widths=0.5) + boxplot_axes.append(ax_box) + + min_value = np.min(data) + mean_value = np.mean(data) + max_value = np.max(data) + + annotation_text = f"Min: {min_value:.2f}\nMean: {mean_value:.2f}\nMax: {max_value:.2f}" + ax_box.annotate( + annotation_text, + xy=(1, 1), # Changed from (0, 1) to (1, 1) + xycoords="axes fraction", + ha="right", # Changed from 'left' to 'right' + va="top", + fontsize=8, + fontweight="bold", + bbox={ + "facecolor": "white", + "edgecolor": "black", + "boxstyle": "round,pad=0.2", + }, + ) + + ax_box.spines["top"].set_visible(False) + ax_box.spines["right"].set_visible(False) + ax_box.spines["bottom"].set_visible(False) + ax_box.spines["left"].set_visible(True) + + ax_box.set_xticks([]) + ax_box.set_xticklabels([]) + + ax_heat.set_ylabel("") + ax_box.set_ylabel( + "Standard Deviation", fontsize=8 + ) # Reduced font size + + self._colorbar(im) + + ax_heat.set_title( f"{ensemble.experiment_name} : {ensemble.name} layer={layer}", wrap=True, + fontsize=10, # Reduced font size ) norm = plt.Normalize(vmin, vmax) - for ax, data in zip(axes, images): - if data is not None: - im = ax.imshow(data, norm=norm, cmap="viridis") - self._colorbar(im) - figure.tight_layout() + for im in heatmaps: + im.set_norm(norm) + + padding = 0.05 * (vmax - vmin) + for ax_box in boxplot_axes: + ax_box.set_ylim(vmin - padding, vmax + padding) 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the lifetime -# of the c++ gui element to not go out before mpl_image_compare +# of the c++ gui element to not go out before mpl_image_compare. +# Note that the data is copied from test-data and all the existing storages +# there will be copied too! They need to be removed! +# Once the storage is created it its cached in .pytest_cache. @pytest.fixture( params=[ ("FOPR", STATISTICS, "snake_oil"), @@ -97,6 +97,12 @@ def plot_figure(qtbot, heat_equation_storage, snake_oil_case_storage, request): selected_key.dimensionality == tab._plotter.dimensionality ) + if plot_name == STD_DEV: + # we need a better resolution for box plots + tab._figure.set_size_inches( + 2000 / tab._figure.get_dpi(), + 1000 / tab._figure.get_dpi(), + ) yield tab._figure.figure else: assert ( diff --git a/tests/ert/unit_tests/gui/plottery/test_stddev_plot.py b/tests/ert/unit_tests/gui/plottery/test_stddev_plot.py new file mode 100644 index 00000000000..27d09441208 --- /dev/null +++ b/tests/ert/unit_tests/gui/plottery/test_stddev_plot.py @@ -0,0 +1,49 @@ +from unittest.mock import Mock + +import matplotlib.pyplot as plt +import numpy as np +import pytest +from matplotlib.figure import Figure + +from ert.gui.plottery import PlotConfig, PlotContext +from ert.gui.plottery.plots.std_dev import StdDevPlot +from ert.gui.tools.plot.plot_api import EnsembleObject + + +@pytest.fixture() +def plot_context(request): + context = Mock(spec=PlotContext) + context.ensembles.return_value = [ + EnsembleObject("ensemble_1", "id", False, "experiment_1") + ] + context.history_data = None + context.layer = 0 + context.plotConfig.return_value = PlotConfig(title="StdDev Plot") + return context + + +def test_stddev_plot_shows_boxplot(plot_context: PlotContext): + rng = np.random.default_rng() + figure = Figure() + std_dev_data = rng.random((5, 5)) + StdDevPlot().plot( + figure, + plot_context, + {}, + {}, + {"ensemble_1": std_dev_data}, + ) + ax = figure.axes + assert ax[0].get_title() == "experiment_1 : ensemble_1 layer=0" + assert ax[1].get_ylabel() == "Standard Deviation" + annotation = [ + child for child in ax[1].get_children() if isinstance(child, plt.Annotation) + ] + assert len(annotation) == 1 + min_value = np.min(std_dev_data) + mean_value = np.mean(std_dev_data) + max_value = np.max(std_dev_data) + assert ( + annotation[0].get_text() + == f"Min: {min_value:.2f}\nMean: {mean_value:.2f}\nMax: {max_value:.2f}" + )