1

pages/3_Загрузка CSV.py

@@ -34,9 +34,9 @@ if not df is None:
     col2.dataframe(df) #, column_config=)
     colnames = "".join(df.columns)
     if colnames.lower().startswith("xyz"):
-        #write(colnames)
-        colcounts = "_".join(map(str,set(df.notna().sum())))
-        col2.write(f"{colnames}_{colcounts}.CSV")
+        colcounts = "_".join(map(str,sorted(set(df.notna().sum()), reverse=True)))
+        fileXYZ = f"{colnames}_{colcounts}.CSV"
+        col2.write(f"{fileXYZ=}")
     col1.write(df.describe())
     dfinfo = my_stm.pandas_info(df)
     col1.write(dfinfo)

static/test.ipynb

@@ -239,24 +239,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "XYZABV\n",
-      "XYZABV_264_12010.CSV\n"
+      "XYZABV_12010_264.CSV\n"
      ]
     }
    ],
    "source": [
     "colnames = \"\".join(df.columns)\n",
     "if colnames.lower().startswith(\"xyz\"):\n",
-    "    write(colnames)\n",
-    "    colcounts = \"_\".join(map(str,set(df.notna().sum())))\n",
-    "    write(f\"{colnames}_{colcounts}.CSV\")"
+    "    colcounts = \"_\".join(map(str,sorted(set(df.notna().sum()), reverse=True)))\n",
+    "    fileXYZ = f\"{colnames}_{colcounts}.CSV\"\n",
+    "    write(fileXYZ)"
    ]
   }
  ],