- New: Added the linkages method and linkage distance for the heatmap…

… of corelation plot.

Docs/ChangeLog.md

@@ -1,3 +1,8 @@
+# Version: 1.106.1
+## Date: 2024-06-09
+### Changes:
+- New: Added the linkages method and linkage distance for the heatmap of corelation plot.
+
 # Version: 1.106.0
 ## Date: 2024-06-09
 ### Changes:

utils/GUI.py

@@ -335,7 +335,7 @@ def __init__(self, MainWindow):
         # self.tabWidget_3.removeTab(3)
 
         # Hide button of DESeq2 in Group Control Test
-        self.pushButton_multi_deseq2.hide()
+        self.pushButton_multi_deseq2.hide() if self.like_times < 3 else None
 
         self.pushButton_dunnett_test.clicked.connect(lambda: self.group_control_test('dunnett'))
         self.pushButton_multi_deseq2.clicked.connect(lambda: self.group_control_test('deseq2'))
@@ -912,9 +912,8 @@ def load_basic_Settings(self):
         if like_times:
             self.like_times = like_times
             if self.like_times >= 3:
-                # self.tabWidget_3.insertTab(3, self.hiddenTab, "Group-Control TEST")
-                self.pushButton_multi_deseq2.show()
-                print("Hidden Button of DESeq2 in Group Control Test is shown.")
+                print("Hidden Button of DESeq2 in Group Control Test is eligible to show.")
+                # if like_times < 3, the following code will hide the button
 
         if self.settings.contains("update_branch"):
             self.update_branch = self.settings.value("update_branch", "main", type=str)
@@ -1397,16 +1396,18 @@ def show_about(self):
         dialog.exec_()
 
     def like_us(self):
-        if self.like_times < 2:
+        if 0 <= self.like_times < 2:
             QMessageBox.information(self.MainWindow, "Thank you!", "Thank you for your support!")
             self.pushButton_others_plot_line.setText('Plot Bar')
             self.like_times += 1
-        elif self.like_times <3:
+
+        elif self.like_times >= 2:
             QMessageBox.information(self.MainWindow, "Thank you!", "Wow! You like us again!\n\nYou have unlocked the hidden function!")
             self.like_times += 1
-            # self.tabWidget_3.insertTab(3, self.hiddenTab, "Group-Control TEST")
+            # now like_times = 3
             self.pushButton_multi_deseq2.show()
-
+            print("Hidden Button of DESeq2 in Group Control Test is shown.")
+
         else:
             QMessageBox.information(self.MainWindow, "Thank you!", "There is no more hidden function.\n\nYou can like us again next time.")
 
@@ -3956,7 +3957,8 @@ def get_title_by_table_name(self, table_name):
                 self.show_message('Correlation is running, please wait...')
                 BasicPlot(self.tfa).plot_corr_sns(df=df, title_name=title_name, cluster= cluster, 
                                                 width=width, height=height, font_size=font_size, 
-                                                show_all_labels=show_all_labels, theme=theme,rename_sample = rename_sample)
+                                                show_all_labels=show_all_labels, theme=theme,
+                                                rename_sample = rename_sample, **self.heatmap_params_dict)
 
             elif method == 'alpha_div':
                 self.show_message('Alpha diversity is running, please wait...')

utils/TaxaFuncPloter/basic_plot.py

@@ -349,8 +349,20 @@ def create_df(self, df, sub_meta:str|None = 'None', plot_samples:bool = False):
         # plt.close()
         return ax
 
-    def plot_corr_sns(self, df, title_name = 'Table', cluster = False, width=10, height=8, font_size = 10,
-                      show_all_labels = (False,False) , theme:str = None, rename_sample:bool = False):
+    def plot_corr_sns(
+        self,
+        df,
+        title_name="Table",
+        cluster=False,
+        width=10,
+        height=8,
+        font_size=10,
+        show_all_labels=(False, False),
+        theme: str = None,
+        rename_sample: bool = False,
+        linkage_method: str = "average",
+        distance_metric: str = "euclidean",
+    ):
         dft= df.copy()
         if rename_sample:
             dft, group_list = self.tfa.add_group_name_for_sample(dft)
@@ -370,7 +382,8 @@ def plot_corr_sns(self, df, title_name = 'Table', cluster = False, width=10, hei
             sns_params = {"linewidths":.01, "cmap":'coolwarm', "cbar_kws":{ "shrink": 0.5},
                             'col_cluster':True if cluster else False,
                             'row_cluster':True if cluster else False,
-                            'method':'average', 'metric':'euclidean',
+                            'method':linkage_method,
+                            'metric':distance_metric,
                             "linecolor":(0/255, 0/255, 0/255, 0.01), "dendrogram_ratio":(.1, .2),"col_colors":color_list,
                             "figsize":(width, height), "xticklabels":True if show_all_labels[0] else "auto",
                             "yticklabels":True if show_all_labels[1] else 'auto'}

utils/version.py

@@ -1,2 +1,2 @@
-__version__ = '1.106.0'
+__version__ = '1.106.1'
 API_version = '1'