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  1. static/test.ipynb +69 -600
static/test.ipynb CHANGED
@@ -2,7 +2,7 @@
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  "cells": [
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  {
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  "cell_type": "code",
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- "execution_count": 11,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -16,7 +16,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 12,
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  "metadata": {},
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  "outputs": [
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  {
@@ -25,7 +25,7 @@
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  "text": [
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  "<>:1: SyntaxWarning: invalid escape sequence '\\M'\n",
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  "<>:1: SyntaxWarning: invalid escape sequence '\\M'\n",
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- "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_34940\\1255343956.py:1: SyntaxWarning: invalid escape sequence '\\M'\n",
29
  " path1 = \"N:\\Makarov\\Development\\Python\\Jupiter Notebooks\\Gaziev CSV\\TestData_1504_AB_soloV_gaziev.zip\"\n"
30
  ]
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  },
@@ -228,7 +228,7 @@
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  "[12010 rows x 10 columns]"
229
  ]
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  },
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- "execution_count": 12,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -249,7 +249,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 13,
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  "metadata": {},
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  "outputs": [
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  {
@@ -270,7 +270,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 14,
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  "metadata": {},
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  "outputs": [
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  {
@@ -437,7 +437,7 @@
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  "18 AAA011113 21 392 -205"
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  ]
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  },
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- "execution_count": 14,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -456,7 +456,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 15,
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  "metadata": {},
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  "outputs": [
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  {
@@ -470,9 +470,9 @@
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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- "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_34940\\1846308829.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",
474
  " print(f\"{set(dgID.apply(len))=}\")\n",
475
- "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_34940\\1846308829.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",
476
  " dgID.apply(len).reset_index()\n"
477
  ]
478
  },
@@ -630,7 +630,7 @@
630
  "19 DDD011113 7"
631
  ]
632
  },
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- "execution_count": 15,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -644,7 +644,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 16,
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  "metadata": {},
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  "outputs": [
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  {
@@ -747,7 +747,7 @@
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  "119 BBB011117 -300 554 -130"
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  ]
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  },
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- "execution_count": 16,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -766,608 +766,77 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 17,
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  "metadata": {},
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  "outputs": [
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  {
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- "name": "stderr",
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  "output_type": "stream",
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  "text": [
776
- "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_34940\\1487317556.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",
777
- " df_packs_reshaped = dgID.apply(lambda df: pd.Series(df[xyz].values[::-1].reshape(1,-1)[0])).reset_index() # правильный порядок\n"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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896
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898
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991
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995
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1015
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1016
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1019
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1020
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1040
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1042
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1043
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1045
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1062
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1063
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1064
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1065
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1066
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1067
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1068
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1069
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1070
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1071
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1084
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1085
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1086
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1087
- " <td>-340</td>\n",
1088
- " </tr>\n",
1089
- " <tr>\n",
1090
- " <th>11</th>\n",
1091
- " <td>BBB011114</td>\n",
1092
- " <td>-201</td>\n",
1093
- " <td>612</td>\n",
1094
- " <td>63</td>\n",
1095
- " <td>-212</td>\n",
1096
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1097
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1098
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1099
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1100
- " <td>261</td>\n",
1101
- " <td>...</td>\n",
1102
- " <td>250</td>\n",
1103
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1104
- " <td>616</td>\n",
1105
- " <td>161</td>\n",
1106
- " <td>-212</td>\n",
1107
- " <td>559</td>\n",
1108
- " <td>20</td>\n",
1109
- " <td>-210</td>\n",
1110
- " <td>547</td>\n",
1111
- " <td>161</td>\n",
1112
- " </tr>\n",
1113
- " <tr>\n",
1114
- " <th>12</th>\n",
1115
- " <td>BBB011115</td>\n",
1116
- " <td>102</td>\n",
1117
- " <td>578</td>\n",
1118
- " <td>-830</td>\n",
1119
- " <td>-221</td>\n",
1120
- " <td>577</td>\n",
1121
- " <td>-859</td>\n",
1122
- " <td>-211</td>\n",
1123
- " <td>579</td>\n",
1124
- " <td>-752</td>\n",
1125
- " <td>...</td>\n",
1126
- " <td>-592</td>\n",
1127
- " <td>-21</td>\n",
1128
- " <td>602</td>\n",
1129
- " <td>-558</td>\n",
1130
- " <td>-200</td>\n",
1131
- " <td>573</td>\n",
1132
- " <td>-505</td>\n",
1133
- " <td>222</td>\n",
1134
- " <td>587</td>\n",
1135
- " <td>-400</td>\n",
1136
- " </tr>\n",
1137
- " <tr>\n",
1138
- " <th>13</th>\n",
1139
- " <td>BBB011116</td>\n",
1140
- " <td>-2</td>\n",
1141
- " <td>550</td>\n",
1142
- " <td>736</td>\n",
1143
- " <td>220</td>\n",
1144
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1145
- " <td>814</td>\n",
1146
- " <td>-112</td>\n",
1147
- " <td>527</td>\n",
1148
- " <td>840</td>\n",
1149
- " <td>...</td>\n",
1150
- " <td>906</td>\n",
1151
- " <td>-221</td>\n",
1152
- " <td>562</td>\n",
1153
- " <td>1013</td>\n",
1154
- " <td>-231</td>\n",
1155
- " <td>563</td>\n",
1156
- " <td>1342</td>\n",
1157
- " <td>212</td>\n",
1158
- " <td>546</td>\n",
1159
- " <td>1557</td>\n",
1160
- " </tr>\n",
1161
- " <tr>\n",
1162
- " <th>14</th>\n",
1163
- " <td>BBB011117</td>\n",
1164
- " <td>-300</td>\n",
1165
- " <td>554</td>\n",
1166
- " <td>-130</td>\n",
1167
- " <td>222</td>\n",
1168
- " <td>598</td>\n",
1169
- " <td>-85</td>\n",
1170
- " <td>221</td>\n",
1171
- " <td>581</td>\n",
1172
- " <td>-249</td>\n",
1173
- " <td>...</td>\n",
1174
- " <td>-242</td>\n",
1175
- " <td>-220</td>\n",
1176
- " <td>561</td>\n",
1177
- " <td>-13</td>\n",
1178
- " <td>-102</td>\n",
1179
- " <td>601</td>\n",
1180
- " <td>258</td>\n",
1181
- " <td>-221</td>\n",
1182
- " <td>575</td>\n",
1183
- " <td>438</td>\n",
1184
- " </tr>\n",
1185
- " <tr>\n",
1186
- " <th>15</th>\n",
1187
- " <td>CCC011111</td>\n",
1188
- " <td>-322</td>\n",
1189
- " <td>381</td>\n",
1190
- " <td>-1133</td>\n",
1191
- " <td>222</td>\n",
1192
- " <td>413</td>\n",
1193
- " <td>-1103</td>\n",
1194
- " <td>223</td>\n",
1195
- " <td>370</td>\n",
1196
- " <td>-1289</td>\n",
1197
- " <td>...</td>\n",
1198
- " <td>-1204</td>\n",
1199
- " <td>-320</td>\n",
1200
- " <td>452</td>\n",
1201
- " <td>-732</td>\n",
1202
- " <td>-220</td>\n",
1203
- " <td>465</td>\n",
1204
- " <td>-473</td>\n",
1205
- " <td>11</td>\n",
1206
- " <td>425</td>\n",
1207
- " <td>-396</td>\n",
1208
- " </tr>\n",
1209
- " <tr>\n",
1210
- " <th>16</th>\n",
1211
- " <td>CCC011112</td>\n",
1212
- " <td>-202</td>\n",
1213
- " <td>316</td>\n",
1214
- " <td>-1791</td>\n",
1215
- " <td>-232</td>\n",
1216
- " <td>333</td>\n",
1217
- " <td>-1659</td>\n",
1218
- " <td>-22</td>\n",
1219
- " <td>421</td>\n",
1220
- " <td>-1718</td>\n",
1221
- " <td>...</td>\n",
1222
- " <td>-1547</td>\n",
1223
- " <td>201</td>\n",
1224
- " <td>481</td>\n",
1225
- " <td>-1213</td>\n",
1226
- " <td>-220</td>\n",
1227
- " <td>433</td>\n",
1228
- " <td>-1375</td>\n",
1229
- " <td>222</td>\n",
1230
- " <td>404</td>\n",
1231
- " <td>-1306</td>\n",
1232
- " </tr>\n",
1233
- " <tr>\n",
1234
- " <th>17</th>\n",
1235
- " <td>DDD011111</td>\n",
1236
- " <td>-203</td>\n",
1237
- " <td>438</td>\n",
1238
- " <td>-86</td>\n",
1239
- " <td>-521</td>\n",
1240
- " <td>436</td>\n",
1241
- " <td>327</td>\n",
1242
- " <td>-422</td>\n",
1243
- " <td>453</td>\n",
1244
- " <td>745</td>\n",
1245
- " <td>...</td>\n",
1246
- " <td>921</td>\n",
1247
- " <td>211</td>\n",
1248
- " <td>483</td>\n",
1249
- " <td>813</td>\n",
1250
- " <td>401</td>\n",
1251
- " <td>492</td>\n",
1252
- " <td>535</td>\n",
1253
- " <td>220</td>\n",
1254
- " <td>436</td>\n",
1255
- " <td>318</td>\n",
1256
- " </tr>\n",
1257
- " <tr>\n",
1258
- " <th>18</th>\n",
1259
- " <td>DDD011112</td>\n",
1260
- " <td>724</td>\n",
1261
- " <td>526</td>\n",
1262
- " <td>-5020</td>\n",
1263
- " <td>-412</td>\n",
1264
- " <td>345</td>\n",
1265
- " <td>-7138</td>\n",
1266
- " <td>-532</td>\n",
1267
- " <td>352</td>\n",
1268
- " <td>-6875</td>\n",
1269
- " <td>...</td>\n",
1270
- " <td>-6739</td>\n",
1271
- " <td>260</td>\n",
1272
- " <td>301</td>\n",
1273
- " <td>-6366</td>\n",
1274
- " <td>-623</td>\n",
1275
- " <td>318</td>\n",
1276
- " <td>-5477</td>\n",
1277
- " <td>-512</td>\n",
1278
- " <td>357</td>\n",
1279
- " <td>-3812</td>\n",
1280
- " </tr>\n",
1281
- " <tr>\n",
1282
- " <th>19</th>\n",
1283
- " <td>DDD011113</td>\n",
1284
- " <td>400</td>\n",
1285
- " <td>503</td>\n",
1286
- " <td>905</td>\n",
1287
- " <td>502</td>\n",
1288
- " <td>490</td>\n",
1289
- " <td>564</td>\n",
1290
- " <td>-121</td>\n",
1291
- " <td>489</td>\n",
1292
- " <td>299</td>\n",
1293
- " <td>...</td>\n",
1294
- " <td>283</td>\n",
1295
- " <td>-123</td>\n",
1296
- " <td>478</td>\n",
1297
- " <td>234</td>\n",
1298
- " <td>22</td>\n",
1299
- " <td>516</td>\n",
1300
- " <td>433</td>\n",
1301
- " <td>-220</td>\n",
1302
- " <td>487</td>\n",
1303
- " <td>741</td>\n",
1304
- " </tr>\n",
1305
- " </tbody>\n",
1306
- "</table>\n",
1307
- "<p>20 rows × 22 columns</p>\n",
1308
- "</div>"
1309
- ],
1310
- "text/plain": [
1311
- " ID 0 1 2 3 4 5 6 7 8 ... \\\n",
1312
- "0 AAA011111 -200 732 257 211 746 312 -22 714 277 ... \n",
1313
- "1 AAA011112 202 486 -547 -320 452 -505 -222 525 -178 ... \n",
1314
- "2 AAA011113 -302 336 -443 -202 343 -257 -201 336 -206 ... \n",
1315
- "3 AAA011114 401 681 768 -212 705 660 220 712 694 ... \n",
1316
- "4 AAA011115 -222 525 -178 -102 616 22 -2 557 58 ... \n",
1317
- "5 AAA011116 21 405 -173 -111 427 -180 -200 377 -150 ... \n",
1318
- "6 AAA011117 -102 616 22 -2 557 58 200 572 50 ... \n",
1319
- "7 AAA011118 -302 279 -2298 -502 282 -1456 -220 409 -362 ... \n",
1320
- "8 BBB011111 -114 277 -97 2 247 -329 -220 284 -602 ... \n",
1321
- "9 BBB011112 -210 529 -943 102 578 -830 -221 577 -859 ... \n",
1322
- "10 BBB011113 -200 320 82 121 289 58 22 336 -26 ... \n",
1323
- "11 BBB011114 -201 612 63 -212 604 201 -103 620 261 ... \n",
1324
- "12 BBB011115 102 578 -830 -221 577 -859 -211 579 -752 ... \n",
1325
- "13 BBB011116 -2 550 736 220 531 814 -112 527 840 ... \n",
1326
- "14 BBB011117 -300 554 -130 222 598 -85 221 581 -249 ... \n",
1327
- "15 CCC011111 -322 381 -1133 222 413 -1103 223 370 -1289 ... \n",
1328
- "16 CCC011112 -202 316 -1791 -232 333 -1659 -22 421 -1718 ... \n",
1329
- "17 DDD011111 -203 438 -86 -521 436 327 -422 453 745 ... \n",
1330
- "18 DDD011112 724 526 -5020 -412 345 -7138 -532 352 -6875 ... \n",
1331
- "19 DDD011113 400 503 905 502 490 564 -121 489 299 ... \n",
1332
- "\n",
1333
- " 11 12 13 14 15 16 17 18 19 20 \n",
1334
- "0 382 -221 703 505 200 711 556 111 702 536 \n",
1335
- "1 22 -2 557 58 200 572 50 201 584 -36 \n",
1336
- "2 -175 -201 357 -235 21 392 -205 -222 412 -343 \n",
1337
- "3 544 -202 644 372 202 625 446 222 643 403 \n",
1338
- "4 50 201 584 -36 -202 585 -4 0 645 109 \n",
1339
- "5 -91 -12 316 -98 -200 356 -136 211 335 -157 \n",
1340
- "6 -36 -202 585 -4 0 645 109 0 600 157 \n",
1341
- "7 -393 512 411 -487 -212 460 -595 -122 433 -670 \n",
1342
- "8 -860 222 271 -1227 420 253 -1668 -212 303 -1919 \n",
1343
- "9 -752 -122 636 -592 -21 602 -558 -200 573 -505 \n",
1344
- "10 -106 -302 422 -158 -202 415 -143 12 416 -340 \n",
1345
- "11 250 402 616 161 -212 559 20 -210 547 161 \n",
1346
- "12 -592 -21 602 -558 -200 573 -505 222 587 -400 \n",
1347
- "13 906 -221 562 1013 -231 563 1342 212 546 1557 \n",
1348
- "14 -242 -220 561 -13 -102 601 258 -221 575 438 \n",
1349
- "15 -1204 -320 452 -732 -220 465 -473 11 425 -396 \n",
1350
- "16 -1547 201 481 -1213 -220 433 -1375 222 404 -1306 \n",
1351
- "17 921 211 483 813 401 492 535 220 436 318 \n",
1352
- "18 -6739 260 301 -6366 -623 318 -5477 -512 357 -3812 \n",
1353
- "19 283 -123 478 234 22 516 433 -220 487 741 \n",
1354
- "\n",
1355
- "[20 rows x 22 columns]"
1356
- ]
1357
- },
1358
- "execution_count": 17,
1359
- "metadata": {},
1360
- "output_type": "execute_result"
1361
  }
1362
  ],
1363
  "source": [
1364
  "df_packs_reshaped = dgID.apply(lambda df: pd.Series(df[xyz].values[::-1].reshape(1,-1)[0])).reset_index() # правильный порядок\n",
1365
- "df_packs_reshaped #.iloc[:,1:]"
1366
  ]
1367
  },
1368
  {
1369
  "cell_type": "code",
1370
- "execution_count": 18,
1371
  "metadata": {},
1372
  "outputs": [
1373
  {
@@ -1390,7 +859,7 @@
1390
  " 'architecture': ('64bit', 'WindowsPE')}"
1391
  ]
1392
  },
1393
- "execution_count": 18,
1394
  "metadata": {},
1395
  "output_type": "execute_result"
1396
  }
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 2,
6
  "metadata": {},
7
  "outputs": [],
8
  "source": [
 
16
  },
17
  {
18
  "cell_type": "code",
19
+ "execution_count": 3,
20
  "metadata": {},
21
  "outputs": [
22
  {
 
25
  "text": [
26
  "<>:1: SyntaxWarning: invalid escape sequence '\\M'\n",
27
  "<>:1: SyntaxWarning: invalid escape sequence '\\M'\n",
28
+ "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_42916\\1255343956.py:1: SyntaxWarning: invalid escape sequence '\\M'\n",
29
  " path1 = \"N:\\Makarov\\Development\\Python\\Jupiter Notebooks\\Gaziev CSV\\TestData_1504_AB_soloV_gaziev.zip\"\n"
30
  ]
31
  },
 
228
  "[12010 rows x 10 columns]"
229
  ]
230
  },
231
+ "execution_count": 3,
232
  "metadata": {},
233
  "output_type": "execute_result"
234
  }
 
249
  },
250
  {
251
  "cell_type": "code",
252
+ "execution_count": 4,
253
  "metadata": {},
254
  "outputs": [
255
  {
 
270
  },
271
  {
272
  "cell_type": "code",
273
+ "execution_count": 5,
274
  "metadata": {},
275
  "outputs": [
276
  {
 
437
  "18 AAA011113 21 392 -205"
438
  ]
439
  },
440
+ "execution_count": 5,
441
  "metadata": {},
442
  "output_type": "execute_result"
443
  }
 
456
  },
457
  {
458
  "cell_type": "code",
459
+ "execution_count": 6,
460
  "metadata": {},
461
  "outputs": [
462
  {
 
470
  "name": "stderr",
471
  "output_type": "stream",
472
  "text": [
473
+ "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_42916\\1846308829.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",
474
  " print(f\"{set(dgID.apply(len))=}\")\n",
475
+ "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_42916\\1846308829.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",
476
  " dgID.apply(len).reset_index()\n"
477
  ]
478
  },
 
630
  "19 DDD011113 7"
631
  ]
632
  },
633
+ "execution_count": 6,
634
  "metadata": {},
635
  "output_type": "execute_result"
636
  }
 
644
  },
645
  {
646
  "cell_type": "code",
647
+ "execution_count": 7,
648
  "metadata": {},
649
  "outputs": [
650
  {
 
747
  "119 BBB011117 -300 554 -130"
748
  ]
749
  },
750
+ "execution_count": 7,
751
  "metadata": {},
752
  "output_type": "execute_result"
753
  }
 
766
  },
767
  {
768
  "cell_type": "code",
769
+ "execution_count": 8,
770
  "metadata": {},
771
  "outputs": [
772
  {
773
+ "name": "stdout",
774
  "output_type": "stream",
775
  "text": [
776
+ " ID 0 1 2 3 4 5 6 7 8 ... \\\n",
777
+ "0 AAA011111 -200 732 257 211 746 312 -22 714 277 ... \n",
778
+ "1 AAA011112 202 486 -547 -320 452 -505 -222 525 -178 ... \n",
779
+ "2 AAA011113 -302 336 -443 -202 343 -257 -201 336 -206 ... \n",
780
+ "3 AAA011114 401 681 768 -212 705 660 220 712 694 ... \n",
781
+ "4 AAA011115 -222 525 -178 -102 616 22 -2 557 58 ... \n",
782
+ "5 AAA011116 21 405 -173 -111 427 -180 -200 377 -150 ... \n",
783
+ "6 AAA011117 -102 616 22 -2 557 58 200 572 50 ... \n",
784
+ "7 AAA011118 -302 279 -2298 -502 282 -1456 -220 409 -362 ... \n",
785
+ "8 BBB011111 -114 277 -97 2 247 -329 -220 284 -602 ... \n",
786
+ "9 BBB011112 -210 529 -943 102 578 -830 -221 577 -859 ... \n",
787
+ "10 BBB011113 -200 320 82 121 289 58 22 336 -26 ... \n",
788
+ "11 BBB011114 -201 612 63 -212 604 201 -103 620 261 ... \n",
789
+ "12 BBB011115 102 578 -830 -221 577 -859 -211 579 -752 ... \n",
790
+ "13 BBB011116 -2 550 736 220 531 814 -112 527 840 ... \n",
791
+ "14 BBB011117 -300 554 -130 222 598 -85 221 581 -249 ... \n",
792
+ "15 CCC011111 -322 381 -1133 222 413 -1103 223 370 -1289 ... \n",
793
+ "16 CCC011112 -202 316 -1791 -232 333 -1659 -22 421 -1718 ... \n",
794
+ "17 DDD011111 -203 438 -86 -521 436 327 -422 453 745 ... \n",
795
+ "18 DDD011112 724 526 -5020 -412 345 -7138 -532 352 -6875 ... \n",
796
+ "19 DDD011113 400 503 905 502 490 564 -121 489 299 ... \n",
797
+ "\n",
798
+ " 11 12 13 14 15 16 17 18 19 20 \n",
799
+ "0 382 -221 703 505 200 711 556 111 702 536 \n",
800
+ "1 22 -2 557 58 200 572 50 201 584 -36 \n",
801
+ "2 -175 -201 357 -235 21 392 -205 -222 412 -343 \n",
802
+ "3 544 -202 644 372 202 625 446 222 643 403 \n",
803
+ "4 50 201 584 -36 -202 585 -4 0 645 109 \n",
804
+ "5 -91 -12 316 -98 -200 356 -136 211 335 -157 \n",
805
+ "6 -36 -202 585 -4 0 645 109 0 600 157 \n",
806
+ "7 -393 512 411 -487 -212 460 -595 -122 433 -670 \n",
807
+ "8 -860 222 271 -1227 420 253 -1668 -212 303 -1919 \n",
808
+ "9 -752 -122 636 -592 -21 602 -558 -200 573 -505 \n",
809
+ "10 -106 -302 422 -158 -202 415 -143 12 416 -340 \n",
810
+ "11 250 402 616 161 -212 559 20 -210 547 161 \n",
811
+ "12 -592 -21 602 -558 -200 573 -505 222 587 -400 \n",
812
+ "13 906 -221 562 1013 -231 563 1342 212 546 1557 \n",
813
+ "14 -242 -220 561 -13 -102 601 258 -221 575 438 \n",
814
+ "15 -1204 -320 452 -732 -220 465 -473 11 425 -396 \n",
815
+ "16 -1547 201 481 -1213 -220 433 -1375 222 404 -1306 \n",
816
+ "17 921 211 483 813 401 492 535 220 436 318 \n",
817
+ "18 -6739 260 301 -6366 -623 318 -5477 -512 357 -3812 \n",
818
+ "19 283 -123 478 234 22 516 433 -220 487 741 \n",
819
+ "\n",
820
+ "[20 rows x 22 columns]\n"
821
  ]
822
  },
823
  {
824
+ "name": "stderr",
825
+ "output_type": "stream",
826
+ "text": [
827
+ "C:\\Users\\f64\\AppData\\Local\\Temp\\ipykernel_42916\\21600685.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",
828
+ " df_packs_reshaped = dgID.apply(lambda df: pd.Series(df[xyz].values[::-1].reshape(1,-1)[0])).reset_index() # правильный порядок\n"
829
+ ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
830
  }
831
  ],
832
  "source": [
833
  "df_packs_reshaped = dgID.apply(lambda df: pd.Series(df[xyz].values[::-1].reshape(1,-1)[0])).reset_index() # правильный порядок\n",
834
+ "print(df_packs_reshaped) #.iloc[:,1:]"
835
  ]
836
  },
837
  {
838
  "cell_type": "code",
839
+ "execution_count": 9,
840
  "metadata": {},
841
  "outputs": [
842
  {
 
859
  " 'architecture': ('64bit', 'WindowsPE')}"
860
  ]
861
  },
862
+ "execution_count": 9,
863
  "metadata": {},
864
  "output_type": "execute_result"
865
  }