1

pages/4_Просмотр_CSV.py

@@ -25,6 +25,7 @@ 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))
         cols[1].dataframe(df_xyz, height=700)
 
 

static/test.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -25,7 +25,7 @@
      "text": [
       "<>:1: SyntaxWarning: invalid escape sequence '\\M'\n",
       "<>:1: SyntaxWarning: invalid escape sequence '\\M'\n",
-      "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_6328\\1255343956.py:1: SyntaxWarning: invalid escape sequence '\\M'\n",
+      "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_38792\\1255343956.py:1: SyntaxWarning: invalid escape sequence '\\M'\n",
       "  path1 = \"N:\\Makarov\\Development\\Python\\Jupiter Notebooks\\Gaziev CSV\\TestData_1504_AB_soloV_gaziev.zip\"\n"
      ]
     },
@@ -228,7 +228,7 @@
        "[12010 rows x 10 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -249,7 +249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -270,7 +270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -302,231 +302,518 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>AAA011111</td>\n",
-       "      <td>111.0</td>\n",
-       "      <td>702.0</td>\n",
-       "      <td>536.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>AAA011111</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>711.0</td>\n",
-       "      <td>556.0</td>\n",
+       "      <td>111</td>\n",
+       "      <td>702</td>\n",
+       "      <td>536</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AAA011111</td>\n",
-       "      <td>-221.0</td>\n",
-       "      <td>703.0</td>\n",
-       "      <td>505.0</td>\n",
+       "      <td>200</td>\n",
+       "      <td>711</td>\n",
+       "      <td>556</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AAA011111</td>\n",
-       "      <td>-202.0</td>\n",
-       "      <td>660.0</td>\n",
-       "      <td>382.0</td>\n",
+       "      <td>-221</td>\n",
+       "      <td>703</td>\n",
+       "      <td>505</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AAA011111</td>\n",
-       "      <td>-22.0</td>\n",
-       "      <td>714.0</td>\n",
-       "      <td>277.0</td>\n",
+       "      <td>-202</td>\n",
+       "      <td>660</td>\n",
+       "      <td>382</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>AAA011111</td>\n",
-       "      <td>211.0</td>\n",
-       "      <td>746.0</td>\n",
-       "      <td>312.0</td>\n",
+       "      <td>-22</td>\n",
+       "      <td>714</td>\n",
+       "      <td>277</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>AAA011111</td>\n",
-       "      <td>-200.0</td>\n",
-       "      <td>732.0</td>\n",
-       "      <td>257.0</td>\n",
+       "      <td>211</td>\n",
+       "      <td>746</td>\n",
+       "      <td>312</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>AAA011112</td>\n",
-       "      <td>201.0</td>\n",
-       "      <td>584.0</td>\n",
-       "      <td>-36.0</td>\n",
+       "      <td>AAA011111</td>\n",
+       "      <td>-200</td>\n",
+       "      <td>732</td>\n",
+       "      <td>257</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>AAA011112</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>572.0</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>201</td>\n",
+       "      <td>584</td>\n",
+       "      <td>-36</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>AAA011112</td>\n",
-       "      <td>-2.0</td>\n",
-       "      <td>557.0</td>\n",
-       "      <td>58.0</td>\n",
+       "      <td>200</td>\n",
+       "      <td>572</td>\n",
+       "      <td>50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>AAA011112</td>\n",
-       "      <td>-102.0</td>\n",
-       "      <td>616.0</td>\n",
-       "      <td>22.0</td>\n",
+       "      <td>-2</td>\n",
+       "      <td>557</td>\n",
+       "      <td>58</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>AAA011112</td>\n",
-       "      <td>-222.0</td>\n",
-       "      <td>525.0</td>\n",
-       "      <td>-178.0</td>\n",
+       "      <td>-102</td>\n",
+       "      <td>616</td>\n",
+       "      <td>22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>AAA011112</td>\n",
-       "      <td>-320.0</td>\n",
-       "      <td>452.0</td>\n",
-       "      <td>-505.0</td>\n",
+       "      <td>-222</td>\n",
+       "      <td>525</td>\n",
+       "      <td>-178</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>AAA011112</td>\n",
-       "      <td>202.0</td>\n",
-       "      <td>486.0</td>\n",
-       "      <td>-547.0</td>\n",
+       "      <td>-320</td>\n",
+       "      <td>452</td>\n",
+       "      <td>-505</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>AAA011112</td>\n",
+       "      <td>202</td>\n",
+       "      <td>486</td>\n",
+       "      <td>-547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>AAA011113</td>\n",
+       "      <td>-222</td>\n",
+       "      <td>412</td>\n",
+       "      <td>-343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>AAA011113</td>\n",
+       "      <td>21</td>\n",
+       "      <td>392</td>\n",
+       "      <td>-205</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "           ID      X      Y      Z\n",
-       "0   AAA011111  111.0  702.0  536.0\n",
-       "1   AAA011111  200.0  711.0  556.0\n",
-       "2   AAA011111 -221.0  703.0  505.0\n",
-       "3   AAA011111 -202.0  660.0  382.0\n",
-       "4   AAA011111  -22.0  714.0  277.0\n",
-       "5   AAA011111  211.0  746.0  312.0\n",
-       "6   AAA011111 -200.0  732.0  257.0\n",
-       "7         NaN    NaN    NaN    NaN\n",
-       "8   AAA011112  201.0  584.0  -36.0\n",
-       "9   AAA011112  200.0  572.0   50.0\n",
-       "10  AAA011112   -2.0  557.0   58.0\n",
-       "11  AAA011112 -102.0  616.0   22.0\n",
-       "12  AAA011112 -222.0  525.0 -178.0\n",
-       "13  AAA011112 -320.0  452.0 -505.0\n",
-       "14  AAA011112  202.0  486.0 -547.0\n",
-       "15        NaN    NaN    NaN    NaN"
+       "           ID     X    Y     Z\n",
+       "1   AAA011111   111  702   536\n",
+       "2   AAA011111   200  711   556\n",
+       "3   AAA011111  -221  703   505\n",
+       "4   AAA011111  -202  660   382\n",
+       "5   AAA011111   -22  714   277\n",
+       "6   AAA011111   211  746   312\n",
+       "7   AAA011111  -200  732   257\n",
+       "9   AAA011112   201  584   -36\n",
+       "10  AAA011112   200  572    50\n",
+       "11  AAA011112    -2  557    58\n",
+       "12  AAA011112  -102  616    22\n",
+       "13  AAA011112  -222  525  -178\n",
+       "14  AAA011112  -320  452  -505\n",
+       "15  AAA011112   202  486  -547\n",
+       "17  AAA011113  -222  412  -343\n",
+       "18  AAA011113    21  392  -205"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "path2 = r\"J:\\tmp\\Makarov\\Pack_01.csv\"\n",
+    "path2 = r\"J:\\tmp\\Makarov\\Pack_02.csv\"\n",
+    "xyz = [\"X\",\"Y\",\"Z\"]\n",
     "df2 = None\n",
     "if(os.path.exists(path2)):\n",
     "    df2 = pd.read_csv(path2, sep=';', header=None)\n",
-    "    df2.columns = [\"ID\",\"X\",\"Y\",\"Z\"]\n",
-    "#df2.groupby(\"id\").index\n",
+    "    df2.columns = [\"ID\"] + xyz\n",
+    "    df2 = df2.query(\"ID!='ID'\")\n",
     "df2.head(16)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "set(df2.groupby(\"ID\").apply(len))={14, 7}\n"
+      "set(df2.groupby(\"ID\").apply(len))={7}\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_6328\\1271425466.py:1: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
+      "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_38792\\1806989190.py:1: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
       "  print(f\"{set(df2.groupby(\"ID\").apply(len))=}\")\n",
-      "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_6328\\1271425466.py:2: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
-      "  df2.groupby(\"ID\").apply(len)\n"
+      "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_38792\\1806989190.py:4: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
+      "  dgID.apply(len)\n"
      ]
     },
     {
      "data": {
       "text/plain": [
        "ID\n",
-       "AAA011111     7\n",
-       "AAA011112     7\n",
-       "AAA011113     7\n",
-       "AAA011114     7\n",
-       "AAA011115     7\n",
-       "AAA011116     7\n",
-       "AAA011117     7\n",
-       "AAA011118     7\n",
-       "BBB011111     7\n",
-       "BBB011112    14\n",
-       "BBB011113     7\n",
-       "BBB011114     7\n",
-       "BBB011115     7\n",
-       "BBB011116     7\n",
-       "CCC011111     7\n",
-       "CCC011112     7\n",
-       "DDD011111     7\n",
-       "DDD011112     7\n",
-       "DDD011113     7\n",
+       "AAA011111    7\n",
+       "AAA011112    7\n",
+       "AAA011113    7\n",
+       "AAA011114    7\n",
+       "AAA011115    7\n",
+       "AAA011116    7\n",
+       "AAA011117    7\n",
+       "AAA011118    7\n",
+       "BBB011111    7\n",
+       "BBB011112    7\n",
+       "BBB011113    7\n",
+       "BBB011114    7\n",
+       "BBB011115    7\n",
+       "BBB011116    7\n",
+       "BBB011117    7\n",
+       "CCC011111    7\n",
+       "CCC011112    7\n",
+       "DDD011111    7\n",
+       "DDD011112    7\n",
+       "DDD011113    7\n",
        "dtype: int64"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "print(f\"{set(df2.groupby(\"ID\").apply(len))=}\")\n",
-    "df2.groupby(\"ID\").apply(len)"
+    "dgID = df2.groupby(\"ID\")\n",
+    "dictGroupID = dict(list(dgID))\n",
+    "dgID.apply(len)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 30,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[['-200' '573' '-505' '-21' '602' '-558' '-122' '636' '-592' '-211' '579'\n",
+      "  '-752' '-221' '577' '-859' '102' '578' '-830' '-210' '529' '-943']]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Z</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>73</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>-200</td>\n",
+       "      <td>573</td>\n",
+       "      <td>-505</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>74</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>-21</td>\n",
+       "      <td>602</td>\n",
+       "      <td>-558</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>-122</td>\n",
+       "      <td>636</td>\n",
+       "      <td>-592</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>76</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>-211</td>\n",
+       "      <td>579</td>\n",
+       "      <td>-752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>77</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>-221</td>\n",
+       "      <td>577</td>\n",
+       "      <td>-859</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>102</td>\n",
+       "      <td>578</td>\n",
+       "      <td>-830</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>-210</td>\n",
+       "      <td>529</td>\n",
+       "      <td>-943</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           ID     X    Y     Z\n",
+       "73  BBB011112  -200  573  -505\n",
+       "74  BBB011112   -21  602  -558\n",
+       "75  BBB011112  -122  636  -592\n",
+       "76  BBB011112  -211  579  -752\n",
+       "77  BBB011112  -221  577  -859\n",
+       "78  BBB011112   102  578  -830\n",
+       "79  BBB011112  -210  529  -943"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "#df2.groupby(\"ID\").apply(lambda df: df.tail(1))\n",
-    "#df2.groupby(\"ID\").apply(lambda df: type(df))\n",
-    "#set(df2.groupby(\"ID\").apply(lambda df: len(df)).values)\n",
-    "\n",
+    "#dgID.apply(lambda df: df.tail(1))\n",
+    "#dgID.apply(lambda df: type(df))\n",
     "#df2.groupby(\"ID\").apply(lambda df: list(df.columns))\n",
-    "#df2.groupby(\"ID\").apply(lambda df: list(df.columns))"
+    "dgID.get_group(\"BBB011112\")\n",
+    "print(dictGroupID[\"BBB011112\"][xyz].values.reshape(1,21))  #.stack()\n",
+    "dictGroupID[\"BBB011112\"]\n",
+    "#dgID.indices\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_38792\\572365488.py:1: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
+      "  dgID.apply(lambda df: df[xyz].values.reshape(1,21)).reset_index()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>0</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>AAA011111</td>\n",
+       "      <td>[[111, 702, 536, 200, 711, 556, -221, 703, 505...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>AAA011112</td>\n",
+       "      <td>[[201, 584, -36, 200, 572, 50, -2, 557, 58, -1...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AAA011113</td>\n",
+       "      <td>[[-222, 412, -343, 21, 392, -205, -201, 357, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>AAA011114</td>\n",
+       "      <td>[[222, 643, 403, 202, 625, 446, -202, 644, 372...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>AAA011115</td>\n",
+       "      <td>[[0, 645, 109, -202, 585, -4, 201, 584, -36, 2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>AAA011116</td>\n",
+       "      <td>[[211, 335, -157, -200, 356, -136, -12, 316, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>AAA011117</td>\n",
+       "      <td>[[0, 600, 157, 0, 645, 109, -202, 585, -4, 201...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>AAA011118</td>\n",
+       "      <td>[[-122, 433, -670, -212, 460, -595, 512, 411, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>BBB011111</td>\n",
+       "      <td>[[-212, 303, -1919, 420, 253, -1668, 222, 271,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>BBB011112</td>\n",
+       "      <td>[[-200, 573, -505, -21, 602, -558, -122, 636, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>BBB011113</td>\n",
+       "      <td>[[12, 416, -340, -202, 415, -143, -302, 422, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>BBB011114</td>\n",
+       "      <td>[[-210, 547, 161, -212, 559, 20, 402, 616, 161...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>BBB011115</td>\n",
+       "      <td>[[222, 587, -400, -200, 573, -505, -21, 602, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>BBB011116</td>\n",
+       "      <td>[[212, 546, 1557, -231, 563, 1342, -221, 562, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>BBB011117</td>\n",
+       "      <td>[[-221, 575, 438, -102, 601, 258, -220, 561, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>CCC011111</td>\n",
+       "      <td>[[11, 425, -396, -220, 465, -473, -320, 452, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>CCC011112</td>\n",
+       "      <td>[[222, 404, -1306, -220, 433, -1375, 201, 481,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>DDD011111</td>\n",
+       "      <td>[[220, 436, 318, 401, 492, 535, 211, 483, 813,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>DDD011112</td>\n",
+       "      <td>[[-512, 357, -3812, -623, 318, -5477, 260, 301...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>DDD011113</td>\n",
+       "      <td>[[-220, 487, 741, 22, 516, 433, -123, 478, 234...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           ID                                                  0\n",
+       "0   AAA011111  [[111, 702, 536, 200, 711, 556, -221, 703, 505...\n",
+       "1   AAA011112  [[201, 584, -36, 200, 572, 50, -2, 557, 58, -1...\n",
+       "2   AAA011113  [[-222, 412, -343, 21, 392, -205, -201, 357, -...\n",
+       "3   AAA011114  [[222, 643, 403, 202, 625, 446, -202, 644, 372...\n",
+       "4   AAA011115  [[0, 645, 109, -202, 585, -4, 201, 584, -36, 2...\n",
+       "5   AAA011116  [[211, 335, -157, -200, 356, -136, -12, 316, -...\n",
+       "6   AAA011117  [[0, 600, 157, 0, 645, 109, -202, 585, -4, 201...\n",
+       "7   AAA011118  [[-122, 433, -670, -212, 460, -595, 512, 411, ...\n",
+       "8   BBB011111  [[-212, 303, -1919, 420, 253, -1668, 222, 271,...\n",
+       "9   BBB011112  [[-200, 573, -505, -21, 602, -558, -122, 636, ...\n",
+       "10  BBB011113  [[12, 416, -340, -202, 415, -143, -302, 422, -...\n",
+       "11  BBB011114  [[-210, 547, 161, -212, 559, 20, 402, 616, 161...\n",
+       "12  BBB011115  [[222, 587, -400, -200, 573, -505, -21, 602, -...\n",
+       "13  BBB011116  [[212, 546, 1557, -231, 563, 1342, -221, 562, ...\n",
+       "14  BBB011117  [[-221, 575, 438, -102, 601, 258, -220, 561, -...\n",
+       "15  CCC011111  [[11, 425, -396, -220, 465, -473, -320, 452, -...\n",
+       "16  CCC011112  [[222, 404, -1306, -220, 433, -1375, 201, 481,...\n",
+       "17  DDD011111  [[220, 436, 318, 401, 492, 535, 211, 483, 813,...\n",
+       "18  DDD011112  [[-512, 357, -3812, -623, 318, -5477, 260, 301...\n",
+       "19  DDD011113  [[-220, 487, 741, 22, 516, 433, -123, 478, 234..."
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dgID.apply(lambda df: df[xyz].values.reshape(1,21)).reset_index()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -535,7 +822,7 @@
        "'n:\\\\Makarov\\\\Development\\\\HuggingFaceSpacesGit\\\\streamlit\\\\static'"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }