1

CTAPT.py

@@ -1,7 +1,8 @@
 import os, re, sys, time, math, shutil, urllib, string, random, pickle, zipfile, datetime
 import streamlit as st, pandas as pd, numpy as np
 
-st.set_page_config(page_title="Предсказание V", page_icon="🦋", layout="wide") # set_page_config() can only be called once per app page, and must be called as the first Streamlit command in your script.
+st.set_page_config(page_title="Предсказание V", page_icon="🦋", layout="wide", initial_sidebar_state="expanded")
+# set_page_config() can only be called once per app page, and must be called as the first Streamlit command in your script.
 
 import my_static_methods as my_stm
 st.html(my_stm.STYLE_CORRECTION)

pages/3_Загрузка CSV.py

@@ -5,7 +5,7 @@ import my_static_methods as my_stm
 st.html(my_stm.STYLE_CORRECTION)
 REPO = my_stm.HfRepo("f64k/gaziev", "dataset", st.secrets["HF_WRITE"])
 
-st.sidebar.markdown("## загрузка 💾")
+st.sidebar.markdown("# загрузка 💾")
 
 def st_rerun():
     try:

pages/4_Просмотр_CSV.py

@@ -10,7 +10,7 @@ st.html(my_stm.STYLE_CORRECTION)
 
 
 REPO = my_stm.HfRepo("f64k/gaziev", "dataset", st.secrets["HF_WRITE"])
-st.sidebar.info("💽 сохраненные\n таблицы CSV")
+st.sidebar.info("🧊💽 сохраненные\n таблицы CSV")
 
 lstTestFiles = my_stm.list_files_hf(REPO)
 #dictXYZV = my_stm.load_gaziev_from_hf(REPO, lstTestFiles)
@@ -25,7 +25,8 @@ if one_file_selected:
         df_xyz = list(dict_ONE_XYZV.values())[0] #df_xyz = dictXYZV[key_xyz]
         fig = my_stm.plotly_xyzv_scatter_gray(df_xyz)
         cols[0].plotly_chart(fig) # st.plotly_chart(fig) #fig.show()
-        cols[1].write(sorted(set(df_xyz.notna().sum()), reverse=True))
+        lstValues = sorted(set(df_xyz.notna().sum()), reverse=True)
+        cols[1].info(f"Всего записей : {lstValues[0]};  Значений V : {lstValues[1]}")
         cols[1].dataframe(df_xyz, height=700)
 
 

pages/{6_Plotly.py → 7.plotly.graph_objs.py}

@@ -2,11 +2,11 @@ import streamlit as st, pandas as pd, numpy as np
 import my_static_methods as my_stm
 st.html(my_stm.STYLE_CORRECTION)
 
-st.sidebar.markdown("# ПРИМЕР : интерактивные графики на Plotly 📊")
-
 import plotly.figure_factory as ff
 import plotly.graph_objs as go
 
+st.sidebar.markdown("# ПРИМЕР : интерактивные графики на Plotly plotly.graph_objs 📊")
+
 n = 80 # 200
 # Add histogram data
 x1 = np.random.randn(n) # - 2

pages/9_Таблица_результатов.py

@@ -4,4 +4,9 @@ st.markdown(my_stm.STYLE_CORRECTION, unsafe_allow_html=True)
 
 st.sidebar.markdown("###  просто таблица случайных чисел - пока заглушка ❄️")
 pop = st.sidebar.popover("Open popover")
-pop.dataframe(my_stm.df_random_dataframe())
+pop.dataframe(my_stm.df_random_dataframe())
+
+expand = st.expander("My label", icon=":material/info:")
+expand.write("Inside the expander.")
+pop = st.popover("Button label")
+pop.checkbox("Show all")