SDoE: embedding SDoE plots into QDialog windows

foqus_lib/framework/sdoe/plot_utils.py

@@ -150,15 +150,17 @@
 
 
 def remove_xticklabels(ax):
-    labels = [item.get_text() for item in ax.get_xticklabels()]
-    no_labels = [""] * len(labels)
+    ticks_loc = ax.get_xticks().tolist()
+    no_labels = [""] * len(ticks_loc)
+    ax.set_xticks(ticks_loc)
     ax.set_xticklabels(no_labels)
     return ax
 
 
 def remove_yticklabels(ax):
-    labels = [item.get_text() for item in ax.get_yticklabels()]
-    no_labels = [""] * len(labels)
+    ticks_loc = ax.get_yticks().tolist()
+    no_labels = [""] * len(ticks_loc)
+    ax.set_yticks(ticks_loc)
     ax.set_yticklabels(no_labels)
     return ax
 
@@ -435,7 +437,7 @@
     else:
         cand = None
         wcol = None
-    _fig1 = plot_candidates(
+    fig1 = plot_candidates(
         df, hf, show, title, scatter_label, cand, wcol=wcol, nImpPts=nImpPts
     )
     if nusf:
@@ -451,9 +453,10 @@
         cand_ = scale_y(scale_method, mwr, cand_np, idw_np)
         wts = cand_[:, idw_np]  # scaled weights from all candidates
         title = "SDOE (NUSF) Weight Visualization for MWR={}".format(mwr)
-        _fig2 = plot_weights(xs, wt, wts, title)
-
-    plt.show()
+        fig2 = plot_weights(xs, wt, wts, title)
+        return fig1, fig2
+    else:
+        return fig1
 
 
 def plot_pareto(pf, results, cand, hname):  # Plot Pareto front with hovering labels
@@ -524,4 +527,4 @@
     fig.canvas.manager.set_window_title("Pareto Front")
     fig.canvas.mpl_connect("pick_event", onpick)
 
-    plt.show()
+    return fig

foqus_lib/framework/sdoe/test/results_irsf.json

@@ -0,0 +1 @@
+{"pareto_front": {"Design": {"0": 1, "1": 2, "2": 3, "3": 4, "4": 5, "5": 6, "6": 7, "7": 8, "8": 9, "9": 10, "10": 11, "11": 12, "12": 13, "13": 14, "14": 15, "15": 16, "16": 17, "17": 18, "18": 19, "19": 20, "20": 21, "21": 22, "22": 23, "23": 24, "24": 25, "25": 26, "26": 27, "27": 28, "28": 29, "29": 30, "30": 31, "31": 32, "32": 33, "33": 34, "34": 35, "35": 36, "36": 37, "37": 38, "38": 39, "39": 40, "40": 41, "41": 42, "42": 43, "43": 44, "44": 45, "45": 46, "46": 47, "47": 48, "48": 49, "49": 50, "50": 51, "51": 52, "52": 53, "53": 54, "54": 55, "55": 56, "56": 57, "57": 58, "58": 59, "59": 60}, "Best Input": {"0": 0.7071067811865476, "1": 0.7433034373659253, "2": 0.7778174593052023, "3": 0.7810249675906654, "4": 0.8139410298049854, "5": 0.8200609733428363, "6": 0.848528137423857, "7": 0.8514693182963201, "8": 0.8602325267042626, "9": 0.8845903006477066, "10": 0.8902246907382427, "11": 0.9013878188659973, "12": 0.9192388155425119, "13": 0.9219544457292886, "14": 0.9300537618869137, "15": 0.95524865872714, "16": 0.9604686356149273, "17": 0.97082439194738, "18": 0.9899494936611665, "19": 0.9924716620639604, "20": 1.0, "21": 1.0124228365658292, "22": 1.0259142264341596, "23": 1.0307764064044151, "24": 1.0404326023342405, "25": 1.0606601717798212, "26": 1.063014581273465, "27": 1.0700467279516348, "28": 1.0735455276791943, "29": 1.0816653826391966, "30": 1.0965856099730655, "31": 1.101135777277262, "32": 1.110180165558726, "33": 1.118033988749895, "34": 1.1236102527122116, "35": 1.1313708498984762, "36": 1.1335784048754634, "37": 1.140175425099138, "38": 1.1412712210513327, "39": 1.1510864433221337, "40": 1.1672617529928753, "41": 1.1715374513859982, "42": 1.1800423721205946, "43": 1.1926860441876563, "44": 1.2020815280171306, "45": 1.2041594578792296, "46": 1.2103718436910205, "47": 1.2206555615733703, "48": 1.2379418403139948, "49": 1.241974234837422, "50": 1.25, "51": 1.2727922061357855, "52": 1.2747548783981961, "53": 1.2806248474865698, "54": 1.3086252328302401, "55": 1.3124404748406686, "56": 1.3435028842544403, "57": 1.3453624047073711, "58": 1.379311422413372, "59": 1.4142135623730951}, "Best Response": {"0": 1.0, "1": 0.9965, "2": 0.99, "3": 0.986, "4": 0.9765, "5": 0.9685, "6": 0.96, "7": 0.956, "8": 0.944, "9": 0.9365, "10": 0.9285, "11": 0.9125, "12": 0.91, "13": 0.906, "14": 0.894, "15": 0.8765, "16": 0.8685, "17": 0.8525, "18": 0.84, "19": 0.836, "20": 0.824, "21": 0.804, "22": 0.7965, "23": 0.7885, "24": 0.7725, "25": 0.75, "26": 0.746, "27": 0.734, "28": 0.7165, "29": 0.714, "30": 0.6965, "31": 0.6885, "32": 0.6725, "33": 0.65, "34": 0.6485, "35": 0.64, "36": 0.636, "37": 0.624, "38": 0.6165, "39": 0.604, "40": 0.5765, "41": 0.5685, "42": 0.5525, "43": 0.5285, "44": 0.51, "45": 0.506, "46": 0.494, "47": 0.474, "48": 0.4365, "49": 0.4285, "50": 0.4125, "51": 0.36, "52": 0.356, "53": 0.344, "54": 0.2765, "55": 0.2685, "56": 0.19, "57": 0.186, "58": 0.0965, "59": 0.0}}, "design_id": {"1": 1, "2": 2, "3": 3, "4": 4, "5": 5, "6": 6, "7": 7, "8": 8, "9": 9, "10": 10, "11": 11, "12": 12, "13": 13, "14": 14, "15": 15, "16": 16, "17": 17, "18": 18, "19": 19, "20": 20, "21": 21, "22": 22, "23": 23, "24": 24, "25": 25, "26": 26, "27": 27, "28": 28, "29": 29, "30": 30, "31": 31, "32": 32, "33": 33, "34": 34, "35": 35, "36": 36, "37": 37, "38": 38, "39": 39, "40": 40, "41": 41, "42": 42, "43": 43, "44": 44, "45": 45, "46": 46, "47": 47, "48": 48, "49": 49, "50": 50, "51": 51, "52": 52, "53": 53, "54": 54, "55": 55, "56": 56, "57": 57, "58": 58, "59": 59, "60": 60}, "des": {"1": {"V1": {"0": 0.5, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 1.0, "1": 0.0}}, "2": {"V1": {"0": 0.45, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 0.9965, "1": 0.0}}, "3": {"V1": {"0": 0.45, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.99, "1": 0.0}}, "4": {"V1": {"0": 0.4, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 0.986, "1": 0.0}}, "5": {"V1": {"0": 0.4, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.9765, "1": 0.0}}, "6": {"V1": {"0": 0.35, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 0.9685, "1": 0.0}}, "7": {"V1": {"0": 0.4, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.96, "1": 0.0}}, "8": {"V1": {"0": 0.35, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.956, "1": 0.0}}, "9": {"V1": {"0": 0.3, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 0.944, "1": 0.0}}, "10": {"V1": {"0": 0.35, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.9365, "1": 0.0}}, "11": {"V1": {"0": 0.3, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.9285, "1": 0.0}}, "12": {"V1": {"0": 0.25, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 0.9125, "1": 0.0}}, "13": {"V1": {"0": 0.35, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.91, "1": 0.0}}, "14": {"V1": {"0": 0.3, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.906, "1": 0.0}}, "15": {"V1": {"0": 0.25, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.894, "1": 0.0}}, "16": {"V1": {"0": 0.3, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.8765, "1": 0.0}}, "17": {"V1": {"0": 0.25, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.8685, "1": 0.0}}, "18": {"V1": {"0": 0.2, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.8525, "1": 0.0}}, "19": {"V1": {"0": 0.3, "1": 1.0}, "V2": {"0": 0.3, "1": 1.0}, "Y": {"0": 0.84, "1": 0.0}}, "20": {"V1": {"0": 0.25, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.836, "1": 0.0}}, "21": {"V1": {"0": 0.2, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.824, "1": 0.0}}, "22": {"V1": {"0": 0.15, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.804, "1": 0.0}}, "23": {"V1": {"0": 0.25, "1": 1.0}, "V2": {"0": 0.3, "1": 1.0}, "Y": {"0": 0.7965, "1": 0.0}}, "24": {"V1": {"0": 0.2, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.7885, "1": 0.0}}, "25": {"V1": {"0": 0.15, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.7725, "1": 0.0}}, "26": {"V1": {"0": 0.25, "1": 1.0}, "V2": {"0": 0.25, "1": 1.0}, "Y": {"0": 0.75, "1": 0.0}}, "27": {"V1": {"0": 0.2, "1": 1.0}, "V2": {"0": 0.3, "1": 1.0}, "Y": {"0": 0.746, "1": 0.0}}, "28": {"V1": {"0": 0.15, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.734, "1": 0.0}}, "29": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 0.7165, "1": 0.0}}, "30": {"V1": {"0": 0.1, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.714, "1": 0.0}}, "31": {"V1": {"0": 0.2, "1": 1.0}, "V2": {"0": 0.25, "1": 1.0}, "Y": {"0": 0.6965, "1": 0.0}}, "32": {"V1": {"0": 0.15, "1": 1.0}, "V2": {"0": 0.3, "1": 1.0}, "Y": {"0": 0.6885, "1": 0.0}}, "33": {"V1": {"0": 0.1, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.6725, "1": 0.0}}, "34": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.5, "1": 1.0}, "Y": {"0": 0.65, "1": 0.0}}, "35": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.4, "1": 1.0}, "Y": {"0": 0.6485, "1": 0.0}}, "36": {"V1": {"0": 0.2, "1": 1.0}, "V2": {"0": 0.2, "1": 1.0}, "Y": {"0": 0.64, "1": 0.0}}, "37": {"V1": {"0": 0.15, "1": 1.0}, "V2": {"0": 0.25, "1": 1.0}, "Y": {"0": 0.636, "1": 0.0}}, "38": {"V1": {"0": 0.1, "1": 1.0}, "V2": {"0": 0.3, "1": 1.0}, "Y": {"0": 0.624, "1": 0.0}}, "39": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.45, "1": 1.0}, "Y": {"0": 0.6165, "1": 0.0}}, "40": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.604, "1": 0.0}}, "41": {"V1": {"0": 0.15, "1": 1.0}, "V2": {"0": 0.2, "1": 1.0}, "Y": {"0": 0.5765, "1": 0.0}}, "42": {"V1": {"0": 0.1, "1": 1.0}, "V2": {"0": 0.25, "1": 1.0}, "Y": {"0": 0.5685, "1": 0.0}}, "43": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.3, "1": 1.0}, "Y": {"0": 0.5525, "1": 0.0}}, "44": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.35, "1": 1.0}, "Y": {"0": 0.5285, "1": 0.0}}, "45": {"V1": {"0": 0.15, "1": 1.0}, "V2": {"0": 0.15, "1": 1.0}, "Y": {"0": 0.51, "1": 0.0}}, "46": {"V1": {"0": 0.1, "1": 1.0}, "V2": {"0": 0.2, "1": 1.0}, "Y": {"0": 0.506, "1": 0.0}}, "47": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.25, "1": 1.0}, "Y": {"0": 0.494, "1": 0.0}}, "48": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.3, "1": 1.0}, "Y": {"0": 0.474, "1": 0.0}}, "49": {"V1": {"0": 0.1, "1": 1.0}, "V2": {"0": 0.15, "1": 1.0}, "Y": {"0": 0.4365, "1": 0.0}}, "50": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.2, "1": 1.0}, "Y": {"0": 0.4285, "1": 0.0}}, "51": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.25, "1": 1.0}, "Y": {"0": 0.4125, "1": 0.0}}, "52": {"V1": {"0": 0.1, "1": 1.0}, "V2": {"0": 0.1, "1": 1.0}, "Y": {"0": 0.36, "1": 0.0}}, "53": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.15, "1": 1.0}, "Y": {"0": 0.356, "1": 0.0}}, "54": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.2, "1": 1.0}, "Y": {"0": 0.344, "1": 0.0}}, "55": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.1, "1": 1.0}, "Y": {"0": 0.2765, "1": 0.0}}, "56": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.15, "1": 1.0}, "Y": {"0": 0.2685, "1": 0.0}}, "57": {"V1": {"0": 0.05, "1": 1.0}, "V2": {"0": 0.05, "1": 1.0}, "Y": {"0": 0.19, "1": 0.0}}, "58": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.1, "1": 1.0}, "Y": {"0": 0.186, "1": 0.0}}, "59": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.05, "1": 1.0}, "Y": {"0": 0.0965, "1": 0.0}}, "60": {"V1": {"0": 0.0, "1": 1.0}, "V2": {"0": 0.0, "1": 1.0}, "Y": {"0": 0.0, "1": 0.0}}}, "mode": "maximin", "design_size": 2, "num_restarts": 5, "num_designs": 60}

foqus_lib/framework/sdoe/test/results_nusf.json

@@ -0,0 +1 @@
+{"best_cand_scaled": {"Run": {"357": 358.0, "293": 1.0}, "L": {"357": 0.6893091915580671, "293": 0.019259600968746397}, "G": {"357": 1.0, "293": 0.0}, "w": {"357": 0.0, "293": 1.0}, "lldg": {"357": 1.0, "293": 1.0}, "CI Width Prior": {"357": 5.0, "293": 3.44149502933341}}, "best_cand": {"Run": {"357": 358.0, "293": 294.0}, "L": {"357": 8981.0, "293": 3066.0}, "G": {"357": 2750.0, "293": 2750.0}, "w": {"357": 0.125, "293": 0.175}, "lldg": {"357": 0.3, "293": 0.1}, "CI Width Prior": {"357": 9.298917081, "293": 6.309039504}}, "best_index": [357, 293], "best_val": 42.140529389626565, "best_mdpts": [0, 1], "best_mties": 1, "best_dmat": [[9999.0, 42.140529389626565], [42.140529389626565, 9999.0]], "mode": "maximin", "design_size": 2, "num_restarts": 10, "mwr": 5, "elapsed_time": 69.98497295379639}

foqus_lib/framework/sdoe/test/test_plot_utils.py

@@ -12,11 +12,15 @@
 # respectively. This file is also available online at the URL
 # "https://github.com/CCSI-Toolset/FOQUS".
 #################################################################################
+import matplotlib.pyplot as plt
+import pandas as pd
 import pytest
-from foqus_lib.framework.sdoe import plot_utils
+from foqus_lib.framework.sdoe import sdoe, nusf, plot_utils, df_utils
 from unittest import mock
 from importlib import resources
 from pathlib import Path
+import configparser
+import json
 
 
 @mock.patch("foqus_lib.framework.sdoe.plot_utils.plt")
@@ -29,9 +33,76 @@ def test_plot(fake_plt: mock.MagicMock):
     copy_from_package(fname)
     scatter_label = "something"
 
-    plot_utils.plot(fname=fname, scatter_label=scatter_label)
+    fig = plot_utils.plot(fname=fname, scatter_label=scatter_label)
 
-    assert fake_plt.show.call_count > 0
+    assert fig is not None
+
+
+@mock.patch("foqus_lib.framework.sdoe.plot_utils.plt")
+def test_plot_weights(fake_plt: mock.MagicMock):
+
+    fake_fig = mock.MagicMock()
+    fake_ax1 = mock.MagicMock()
+    fake_ax2 = mock.MagicMock()
+    fake_plt.subplots.return_value = (fake_fig, (fake_ax1, fake_ax2))
+
+    config_file = "config_nusf.ini"
+    copy_from_package(config_file)
+
+    cand_file = "candidates_nusf.csv"
+    copy_from_package(cand_file)
+    cand = df_utils.load(cand_file)
+
+    results_file = "results_nusf.json"
+    copy_from_package(results_file)
+    with open(results_file) as file:
+        results_dict = json.load(file)
+
+    config = configparser.ConfigParser(allow_no_value=True)
+    config.read(config_file)
+    scale_method = config["SF"]["scale_method"]
+    include = [s.strip() for s in config["INPUT"]["include"].split(",")]
+    types = [s.strip() for s in config["INPUT"]["types"].split(",")]
+
+    i = types.index("Weight")
+    wcol = include[i]  # weight column name
+
+    des = pd.DataFrame.from_dict(results_dict["best_cand_scaled"]).values
+    xs = des[:, :-1]  # scaled coordinates from best candidate
+    wt = des[:, -1]  # scaled weights from best candidate
+
+    idw_np = cand.columns.get_loc(wcol)
+    cand_np = cand.to_numpy()
+    mwr = results_dict["mwr"]
+    cand_ = nusf.scale_y(scale_method, mwr, cand_np, idw_np)
+    wts = cand_[:, idw_np]  # scaled weights from all candidates
+    title = "SDOE (NUSF) Weight Visualization for MWR={}".format(mwr)
+    fig = plot_utils.plot_weights(xs, wt, wts, title)
+
+    assert fig is not None
+
+
+@mock.patch("foqus_lib.framework.sdoe.plot_utils.plt")
+def test_plot_pareto(fake_plt: mock.MagicMock):
+
+    fake_fig = mock.MagicMock()
+    fake_axes = mock.MagicMock()
+    fake_plt.subplots.return_value = (fake_fig, fake_axes)
+
+    cand_file = "candidates_irsf.csv"
+    copy_from_package(cand_file)
+    cand = df_utils.load(cand_file)
+
+    results_file = "results_irsf.json"
+    copy_from_package(results_file)
+    with open(results_file) as file:
+        results_dict = json.load(file)
+
+    pf = pd.DataFrame.from_dict(results_dict["pareto_front"])
+
+    fig = plot_utils.plot_pareto(pf, results_dict, cand, None)
+
+    assert fig is not None
 
 
 def copy_from_package(file_name: str) -> None:

foqus_lib/gui/sdoe/sdoeAnalysisDialog.py

@@ -20,7 +20,7 @@
 from foqus_lib.framework.sdoe.df_utils import load
 from foqus_lib.framework.sdoe.plot_utils import plot_pareto
 from .sdoeSetupFrame import *
-from .sdoePreview import sdoePreview
+from .sdoePreview import sdoePreview, Window
 
 from PyQt5 import uic
 from PyQt5.QtCore import Qt
@@ -1301,7 +1301,11 @@
             results = self.analysis[row].results
             cand = load(cfile)
             irsf = {"cand": cand}
-            plot_pareto(pf, results, irsf["cand"], hname)
+            fig = plot_pareto(pf, results, irsf["cand"], hname)
+            dialog = Window(fig, None, self)
+            title = "SDoE (IRSF) Pareto Front"
+            dialog.setWindowTitle(title)
+            dialog.show()
             return
 
         fullName = self.analysis[row].fnames["cand"]

foqus_lib/gui/sdoe/sdoeAnalysisDialog_UI.ui

@@ -10,7 +10,7 @@
     <x>0</x>
     <y>0</y>
     <width>1440</width>
-    <height>1027</height>
+    <height>993</height>
    </rect>
   </property>
   <property name="font">

foqus_lib/gui/sdoe/sdoePreview.py

@@ -14,14 +14,18 @@
 #################################################################################
 import os
 
+from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
+from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
+
 from foqus_lib.framework.uq.Model import Model
 from foqus_lib.framework.sdoe import plot_utils
 
-# from Preview_UI import Ui_Dialog
-
 from PyQt5 import uic
 from PyQt5.QtCore import Qt
 from PyQt5.QtWidgets import (
+    QDialog,
+    QVBoxLayout,
+    QHBoxLayout,
     QListWidgetItem,
     QAbstractItemView,
     QApplication,
@@ -141,14 +145,75 @@
         irsf = self.irsf
         scatterLabel = self.scatterLabel
         nImpPts = self.nImpPts
-        plot_utils.plot(
-            fname,
-            scatterLabel,
-            hname=hname,
-            show=show,
-            usf=usf,
-            nusf=nusf,
-            irsf=irsf,
-            nImpPts=nImpPts,
-        )
-        self.setModal(True)
+
+        if nusf:
+            fig1, fig2 = plot_utils.plot(
+                fname,
+                scatterLabel,
+                hname=hname,
+                show=show,
+                usf=usf,
+                nusf=nusf,
+                irsf=irsf,
+                nImpPts=nImpPts,
+            )
+        else:
+            fig1 = plot_utils.plot(
+                fname,
+                scatterLabel,
+                hname=hname,
+                show=show,
+                usf=usf,
+                nusf=nusf,
+                irsf=irsf,
+                nImpPts=nImpPts,
+            )
+            fig2 = None
+
+        dialog = Window(fig1, fig2, self)
+        if nusf:
+            title = "SDoE (NUSF) Weights and Designs Visualization"
+        elif usf:
+            title = "SDoE (USF) Designs Visualization"
+        else:
+            title = "SDoE Candidates Visualization"
+
+        dialog.setWindowTitle(title)
+        dialog.show()
+
+
+class Window(QDialog):
+    def __init__(self, fig1, fig2, parent=None):
+        super(Window, self).__init__(parent)
+
+        # a figure instance to plot on
+        self.fig1 = fig1
+        if fig2 is not None:
+            self.fig2 = fig2
+
+        # this is the Canvas Widget that displays the `figure`
+        # it takes the `figure` instance as a parameter to __init__
+        self.canvas1 = FigureCanvas(self.fig1)
+        if fig2 is not None:
+            self.canvas2 = FigureCanvas(self.fig2)
+
+        # this is the Navigation widget
+        # it takes the Canvas widget and a parent
+        self.toolbar1 = NavigationToolbar(self.canvas1, self)
+        if fig2 is not None:
+            self.toolbar2 = NavigationToolbar(self.canvas2, self)
+
+        # set the layout
+        layout1 = QVBoxLayout()
+        layout1.addWidget(self.toolbar1)
+        layout1.addWidget(self.canvas1)
+        if fig2 is not None:
+            main_layout = QHBoxLayout()
+            layout2 = QVBoxLayout()
+            layout2.addWidget(self.toolbar2)
+            layout2.addWidget(self.canvas2)
+            main_layout.addLayout(layout2)
+            main_layout.addLayout(layout1)
+            self.setLayout(main_layout)
+        else:
+            self.setLayout(layout1)

foqus_lib/gui/sdoe/sdoePreview_UI.ui

@@ -2,6 +2,9 @@
 <ui version="4.0">
  <class>Dialog</class>
  <widget class="QDialog" name="Dialog">
+  <property name="windowModality">
+   <enum>Qt::NonModal</enum>
+  </property>
   <property name="geometry">
    <rect>
     <x>0</x>
@@ -15,6 +18,9 @@
     <pointsize>10</pointsize>
    </font>
   </property>
+  <property name="focusPolicy">
+   <enum>Qt::NoFocus</enum>
+  </property>
   <property name="windowTitle">
    <string>CCSI SDOE - Preview Inputs</string>
   </property>

foqus_lib/gui/sdoe/sdoeSetupFrame.py

@@ -1057,7 +1057,6 @@ def launchSdoe(self):
             candidateData, dname, analysis, historyData, type, self
         )
         dialog.open()
-        # dialog.deleteLater()
 
     def initUQToolBox(self):