1

pages/old/_просмотр_CSV.py

@@ -1,6 +1,8 @@
 import os
 import streamlit as st, pandas as pd, numpy as np
 import my_static_tools as mst
+from my_static_tools import HF_tools as hft
+from my_static_tools import XYZV_tools as xvt
 st.html(mst.STYLE_CORRECTION)
 
 #st.sidebar.title("⚜️")
@@ -11,18 +13,18 @@ st.html(mst.STYLE_CORRECTION)
 REPO = mst.HfRepo("f64k/gaziev", "dataset", st.secrets["HF_WRITE"])
 st.sidebar.info("🧊💽 сохраненные\n таблицы CSV")
 
-lstTestFiles = [f for f in mst.list_files_hf(REPO) if not f.upper().startswith("ID_XYZ/")]
+lstTestFiles = [f for f in hft.list_files_hf(REPO) if not f.upper().startswith("ID_XYZ/")]
 
 cols = st.columns(2)
 
 #key_xyz = st.selectbox("Выберите файл данных для просмотра таблицы и точек", dictXYZV.keys())
 one_file_selected = cols[0].selectbox("Выберите файл данных для просмотра таблицы и точек", lstTestFiles)
 if one_file_selected:
-    dict_ONE_XYZV = mst.load_dataframes_from_hf(REPO, [one_file_selected])
+    dict_ONE_XYZV = hft.load_dataframes_from_hf(REPO, [one_file_selected])
     if len(dict_ONE_XYZV) > 0:
         df_xyz = list(dict_ONE_XYZV.values())[0] #df_xyz = dictXYZV[key_xyz]
-        df_xyz_vproc = mst.df_process_v_column(df_xyz)
-        fig_plotly_xyzv_scatter = mst.plotly_xyzv_scatter_gray(df_xyz_vproc)
+        df_xyz_vproc = xvt.df_process_v_column(df_xyz)
+        fig_plotly_xyzv_scatter = xvt.plotly_xyzv_scatter_gray(df_xyz_vproc)
         cols[0].plotly_chart(fig_plotly_xyzv_scatter) #fig.show()
         lstValues = sorted(set(df_xyz.notna().sum()), reverse=True)
         cols[1].info(f"Bceгo записей : {lstValues[0]};  Значений V : {lstValues[1]}")