1

my_static_methods.py

@@ -40,7 +40,7 @@ def list_files_hf(repo_Id: str) -> list[str]:
     lst = [fname for fname in map(os.path.basename, lst) if fname[0] != "."]
     return lst
 
-def plotly_xyzv_scatter_gray(df3D) -> px.Figure:
+def plotly_xyzv_scatter_gray(df3D):
     color_discrete_map = dict(o='rgb(220,220,220)', p='rgb(90,1,1)', n='rgb(1,1,90)')
     fig = px.scatter_3d(df3D, x='X', y='Y', z='Z', color="Vposneg", opacity=0.4, height=800, color_discrete_map=color_discrete_map)
     fig.update_scenes(xaxis={"gridcolor":"rgba(30, 0, 0, 0.2)","color":"rgb(100, 0, 0)","showbackground":False},

pages/7_итоги.py

@@ -19,12 +19,13 @@ col1.write(lstTestFiles)
 dictXYZV = my_stm.load_gaziev_from_hf(REPO_ID, lstTestFiles)
 
 key_xyz = st.selectbox("Выберите файл данных для просмотра таблицы и точек", dictXYZV.keys())
-df_xyz = dictXYZV[key_xyz]
+if key_xyz:
+    df_xyz = dictXYZV[key_xyz]
 
-col1.dataframe(df_xyz)
+    col1.dataframe(df_xyz)
 
-fig = my_stm.plotly_xyzv_scatter_gray(df_xyz)
-col2.plotly_chart(fig) # st.plotly_chart(fig) #fig.show()
+    fig = my_stm.plotly_xyzv_scatter_gray(df_xyz)
+    col2.plotly_chart(fig) # st.plotly_chart(fig) #fig.show()