update to st.columns

bsoid_app/analysis_subroutines/machine_performance.py

@@ -40,7 +40,7 @@ def show_accuracy_plot(self):
         fig.suptitle('{}-fold group accuracy'.format(self.k))
         ax.set_xlabel('Accuracy')
         ax.set_ylabel('Group number')
-        col1, col2 = st.beta_columns([2, 2])
+        col1, col2 = st.columns([2, 2])
         radio = st.radio(label='Change colors?', options=["Yes", "No"], index=1)
         if radio == 'No':
             col1.pyplot(fig)

bsoid_app/analysis_subroutines/video_analysis.py

@@ -28,7 +28,7 @@ def __init__(self, working_dir, prefix, features, sampled_features,
         self.ordered_embeds = self.sampled_embeddings[ordered_ind, :]
         self.ordered_assigns = self.soft_assignments[ordered_ind]
         fig, ax = plot_enhanced_umap(self.working_dir, self.prefix, fig_size=(5, 3), save=False)
-        col1, col2 = st.beta_columns([2, 2])
+        col1, col2 = st.columns([2, 2])
         col1.pyplot(fig)
         self.vid_path = st.text_input('Enter corresponding video directory (Absolute path):')
         try:

bsoid_app/bsoid_utilities/visuals.py

@@ -12,7 +12,7 @@
 def plot_bar(sub_threshold):
     st.write('If the below __% noise__ (y-axis) is unreasonable, consider refining pose-estimation software.')
     sub_threshold_df = pd.DataFrame(sub_threshold)
-    col1, col2 = st.beta_columns([3, 2])
+    col1, col2 = st.columns([3, 2])
     col1.line_chart(sub_threshold_df)
     col2.write(sub_threshold_df)
 

bsoid_app/clustering.py

@@ -57,7 +57,7 @@ def show_classes(self):
         fig1, plt1 = visuals.plot_classes(self.sampled_embeddings[self.assignments >= 0],
                                           self.assignments[self.assignments >= 0])
         plt1.suptitle('HDBSCAN assignment')
-        col1, col2 = st.beta_columns([2, 2])
+        col1, col2 = st.columns([2, 2])
         col1.pyplot(fig1)
 
     def slider(self, min_=0.5, max_=1.0):

bsoid_app/machine_learner.py

@@ -56,14 +56,14 @@ def randomforest(self):
 
     def show_confusion_matrix(self):
         fig = visuals.plot_confusion(self.validate_clf, self.x_test, self.y_test)
-        col1, col2 = st.beta_columns([2, 2])
+        col1, col2 = st.columns([2, 2])
         col1.pyplot(fig[0])
         col2.pyplot(fig[1])
         st.write('To improve, either _increase_ minimum cluster size, or include _more data_')
 
     def show_crossval_score(self):
         fig, plt = visuals.plot_accuracy(self.validate_score)
-        col1, col2 = st.beta_columns([2, 2])
+        col1, col2 = st.columns([2, 2])
         col1.pyplot(fig)
         st.write('To improve, either _increase_ minimum cluster size, or include _more data_')
 

bsoid_app/video_creator.py

@@ -237,7 +237,7 @@ def show_snippets(self):
                 video_bytes.append(data_url)
                 grp_names.append('{}'.format(file.partition('.')[0]))
         col = [None] * 3
-        col[0], col[1], col[2] = st.beta_columns([1, 1, 1])
+        col[0], col[1], col[2] = st.columns([1, 1, 1])
         for i in range(0, len(video_bytes) + 3, 3):
             try:
                 col[0].markdown(