lab3 done
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lab2/lab2.ipynb
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lab2/lab2.ipynb
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},
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 1,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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{
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"name": "stdout",
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"ename": "KeyboardInterrupt",
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"output_type": "stream",
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"evalue": "",
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"text": [
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"output_type": "error",
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"Index(['Unnamed: 0', 'carat', 'cut', 'color', 'clarity', 'depth', 'table',\n",
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"traceback": [
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" 'price', 'x', 'y', 'z'],\n",
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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" dtype='object')\n"
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"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[1], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m../data/Diamonds-Prices.csv\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(df\u001b[38;5;241m.\u001b[39mcolumns)\n",
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"File \u001b[1;32mc:\\Users\\bocchanskyy\\source\\repos\\MAI_PIbd-33_Volkov_NA\\.venv\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1026\u001b[0m, in \u001b[0;36mread_csv\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[0;32m 1013\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[0;32m 1014\u001b[0m dialect,\n\u001b[0;32m 1015\u001b[0m delimiter,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1022\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[0;32m 1023\u001b[0m )\n\u001b[0;32m 1024\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[1;32m-> 1026\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[1;32mc:\\Users\\bocchanskyy\\source\\repos\\MAI_PIbd-33_Volkov_NA\\.venv\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:620\u001b[0m, in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m 617\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[0;32m 619\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[1;32m--> 620\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 622\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[0;32m 623\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n",
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"File \u001b[1;32mc:\\Users\\bocchanskyy\\source\\repos\\MAI_PIbd-33_Volkov_NA\\.venv\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1620\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m 1617\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 1619\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m-> 1620\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[1;32mc:\\Users\\bocchanskyy\\source\\repos\\MAI_PIbd-33_Volkov_NA\\.venv\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1898\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[1;34m(self, f, engine)\u001b[0m\n\u001b[0;32m 1895\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[0;32m 1897\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1898\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmapping\u001b[49m\u001b[43m[\u001b[49m\u001b[43mengine\u001b[49m\u001b[43m]\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1899\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[0;32m 1900\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
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"File \u001b[1;32mc:\\Users\\bocchanskyy\\source\\repos\\MAI_PIbd-33_Volkov_NA\\.venv\\Lib\\site-packages\\pandas\\io\\parsers\\c_parser_wrapper.py:93\u001b[0m, in \u001b[0;36mCParserWrapper.__init__\u001b[1;34m(self, src, **kwds)\u001b[0m\n\u001b[0;32m 90\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype_backend\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyarrow\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 91\u001b[0m \u001b[38;5;66;03m# Fail here loudly instead of in cython after reading\u001b[39;00m\n\u001b[0;32m 92\u001b[0m import_optional_dependency(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyarrow\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m---> 93\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reader \u001b[38;5;241m=\u001b[39m \u001b[43mparsers\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mTextReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39munnamed_cols \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reader\u001b[38;5;241m.\u001b[39munnamed_cols\n\u001b[0;32m 97\u001b[0m \u001b[38;5;66;03m# error: Cannot determine type of 'names'\u001b[39;00m\n",
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"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
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]
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]
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}
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}
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],
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],
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@ -1432,7 +1439,7 @@
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": 6,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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},
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": 7,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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@ -1519,47 +1526,83 @@
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],
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],
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"source": [
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"source": [
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"import seaborn as sns\n",
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"import seaborn as sns\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"\n",
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"\n",
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"plt.figure(figsize=(10, 6))\n",
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"plt.figure(figsize=(10, 6))\n",
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"\n",
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"\n",
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"\n",
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"# Связь между возрастом и состоянием\n",
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"# Связь между возрастом и состоянием\n",
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"\n",
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"plt.subplot(2, 2, 1)\n",
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"plt.subplot(2, 2, 1)\n",
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"\n",
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"sns.scatterplot(data=df, x=\"Age\", y=\"Networth\")\n",
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"sns.scatterplot(data=df, x=\"Age\", y=\"Networth\")\n",
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"\n",
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"plt.title(\"Связь между возрастом и состоянием\")\n",
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"plt.title(\"Связь между возрастом и состоянием\")\n",
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"\n",
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"plt.xlabel(\"Возраст\")\n",
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"plt.xlabel(\"Возраст\")\n",
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"\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"\n",
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"plt.show()\n",
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"plt.show()\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"# Связь между страной проживания и состоянием (топ-10 стран)\n",
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"# Связь между страной проживания и состоянием (топ-10 стран)\n",
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"\n",
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"plt.subplot(2, 2, 2)\n",
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"plt.subplot(2, 2, 2)\n",
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"\n",
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"top_countries = df[\"Country\"].value_counts().index[:10]\n",
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"top_countries = df[\"Country\"].value_counts().index[:10]\n",
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"\n",
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"sns.boxplot(data=df[df[\"Country\"].isin(top_countries)], x=\"Country\", y=\"Networth\")\n",
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"sns.boxplot(data=df[df[\"Country\"].isin(top_countries)], x=\"Country\", y=\"Networth\")\n",
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"\n",
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"plt.title(\"Связь между страной проживания и состоянием\")\n",
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"plt.title(\"Связь между страной проживания и состоянием\")\n",
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"\n",
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"plt.xticks(rotation=90)\n",
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"plt.xticks(rotation=90)\n",
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"\n",
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"plt.xlabel(\"Страна\")\n",
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"plt.xlabel(\"Страна\")\n",
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"\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"\n",
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"plt.show()\n",
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"plt.show()\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"# Связь между источником дохода и состоянием (топ-10 источников дохода)\n",
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"# Связь между источником дохода и состоянием (топ-10 источников дохода)\n",
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"\n",
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"plt.subplot(2, 2, 3)\n",
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"plt.subplot(2, 2, 3)\n",
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"\n",
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"top_sources = df[\"Source\"].value_counts().index[:10]\n",
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"top_sources = df[\"Source\"].value_counts().index[:10]\n",
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"\n",
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"sns.boxplot(data=df[df[\"Source\"].isin(top_sources)], x=\"Source\", y=\"Networth\")\n",
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"sns.boxplot(data=df[df[\"Source\"].isin(top_sources)], x=\"Source\", y=\"Networth\")\n",
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"\n",
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"plt.title(\"Связь между источником дохода и состоянием\")\n",
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"plt.title(\"Связь между источником дохода и состоянием\")\n",
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"\n",
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"plt.xticks(rotation=90)\n",
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"plt.xticks(rotation=90)\n",
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"\n",
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"plt.xlabel(\"Источник дохода\")\n",
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"plt.xlabel(\"Источник дохода\")\n",
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"\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"\n",
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"plt.show()\n",
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"plt.show()\n",
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"\n",
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"\n",
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"\n",
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"# Связь между отраслью и состоянием (топ-10 отраслей)\n",
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"# Связь между отраслью и состоянием (топ-10 отраслей)\n",
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"\n",
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"plt.subplot(2, 2, 4)\n",
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"plt.subplot(2, 2, 4)\n",
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"\n",
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"top_industries = df[\"Industry\"].value_counts().index[:10]\n",
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"top_industries = df[\"Industry\"].value_counts().index[:10]\n",
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"\n",
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"sns.boxplot(data=df[df[\"Industry\"].isin(top_industries)], x=\"Industry\", y=\"Networth\")\n",
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"sns.boxplot(data=df[df[\"Industry\"].isin(top_industries)], x=\"Industry\", y=\"Networth\")\n",
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"\n",
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"plt.title(\"Связь между отраслью и состоянием\")\n",
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"plt.title(\"Связь между отраслью и состоянием\")\n",
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"\n",
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"plt.xticks(rotation=90)\n",
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"plt.xticks(rotation=90)\n",
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"\n",
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"plt.xlabel(\"Отрасль\")\n",
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"plt.xlabel(\"Отрасль\")\n",
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"\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"plt.ylabel(\"Состояние (млрд)\")\n",
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"\n",
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"plt.show()"
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"plt.show()"
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]
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 8,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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{
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"max 2578.000000 219.000000 100.000000"
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"max 2578.000000 219.000000 100.000000"
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]
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]
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},
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"execution_count": 28,
|
"execution_count": 8,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
@ -1711,7 +1754,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 30,
|
"execution_count": 9,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -1754,7 +1797,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 32,
|
"execution_count": 10,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -1788,7 +1831,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 33,
|
"execution_count": 11,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -1824,29 +1867,51 @@
|
|||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"# 1. Столбчатая диаграмма по странам\n",
|
"# 1. Столбчатая диаграмма по странам\n",
|
||||||
|
"\n",
|
||||||
"plt.figure(figsize=(12, 6))\n",
|
"plt.figure(figsize=(12, 6))\n",
|
||||||
|
"\n",
|
||||||
"sns.countplot(data=df, x=\"Country\", order=df[\"Country\"].value_counts().index)\n",
|
"sns.countplot(data=df, x=\"Country\", order=df[\"Country\"].value_counts().index)\n",
|
||||||
|
"\n",
|
||||||
"plt.title(\"Количество людей по странам\")\n",
|
"plt.title(\"Количество людей по странам\")\n",
|
||||||
|
"\n",
|
||||||
"plt.xlabel(\"Страна\")\n",
|
"plt.xlabel(\"Страна\")\n",
|
||||||
|
"\n",
|
||||||
"plt.ylabel(\"Количество\")\n",
|
"plt.ylabel(\"Количество\")\n",
|
||||||
|
"\n",
|
||||||
"plt.xticks(rotation=45)\n",
|
"plt.xticks(rotation=45)\n",
|
||||||
|
"\n",
|
||||||
"plt.show()\n",
|
"plt.show()\n",
|
||||||
"\n",
|
"\n",
|
||||||
|
"\n",
|
||||||
"# 2. Столбчатая диаграмма по отраслям\n",
|
"# 2. Столбчатая диаграмма по отраслям\n",
|
||||||
|
"\n",
|
||||||
"plt.figure(figsize=(12, 6))\n",
|
"plt.figure(figsize=(12, 6))\n",
|
||||||
|
"\n",
|
||||||
"sns.countplot(data=df, x=\"Industry\", order=df[\"Industry\"].value_counts().index)\n",
|
"sns.countplot(data=df, x=\"Industry\", order=df[\"Industry\"].value_counts().index)\n",
|
||||||
|
"\n",
|
||||||
"plt.title(\"Количество людей по отраслям\")\n",
|
"plt.title(\"Количество людей по отраслям\")\n",
|
||||||
|
"\n",
|
||||||
"plt.xlabel(\"Отрасль\")\n",
|
"plt.xlabel(\"Отрасль\")\n",
|
||||||
|
"\n",
|
||||||
"plt.ylabel(\"Количество\")\n",
|
"plt.ylabel(\"Количество\")\n",
|
||||||
|
"\n",
|
||||||
"plt.xticks(rotation=45)\n",
|
"plt.xticks(rotation=45)\n",
|
||||||
|
"\n",
|
||||||
"plt.show()\n",
|
"plt.show()\n",
|
||||||
"\n",
|
"\n",
|
||||||
|
"\n",
|
||||||
"# 3. Гистограмма для анализа возраста\n",
|
"# 3. Гистограмма для анализа возраста\n",
|
||||||
|
"\n",
|
||||||
"plt.figure(figsize=(10, 5))\n",
|
"plt.figure(figsize=(10, 5))\n",
|
||||||
|
"\n",
|
||||||
"sns.histplot(df[\"Age\"], bins=30, kde=True)\n",
|
"sns.histplot(df[\"Age\"], bins=30, kde=True)\n",
|
||||||
|
"\n",
|
||||||
"plt.title(\"Распределение возраста\")\n",
|
"plt.title(\"Распределение возраста\")\n",
|
||||||
|
"\n",
|
||||||
"plt.xlabel(\"Возраст\")\n",
|
"plt.xlabel(\"Возраст\")\n",
|
||||||
|
"\n",
|
||||||
"plt.ylabel(\"Частота\")\n",
|
"plt.ylabel(\"Частота\")\n",
|
||||||
|
"\n",
|
||||||
"plt.show()"
|
"plt.show()"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
@ -1866,7 +1931,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 49,
|
"execution_count": 12,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -1875,7 +1940,7 @@
|
|||||||
"((1560, 6), (520, 6), (520, 6))"
|
"((1560, 6), (520, 6), (520, 6))"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 49,
|
"execution_count": 12,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
@ -1901,7 +1966,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 39,
|
"execution_count": 13,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -1936,7 +2001,7 @@
|
|||||||
" Name: Networth, dtype: float64)"
|
" Name: Networth, dtype: float64)"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 39,
|
"execution_count": 13,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
@ -1952,9 +2017,21 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": 16,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [
|
||||||
|
{
|
||||||
|
"ename": "ImportError",
|
||||||
|
"evalue": "cannot import name 'SMOTEREG' from 'imblearn.over_sampling' (c:\\Users\\bocchanskyy\\source\\repos\\MAI_PIbd-33_Volkov_NA\\.venv\\Lib\\site-packages\\imblearn\\over_sampling\\__init__.py)",
|
||||||
|
"output_type": "error",
|
||||||
|
"traceback": [
|
||||||
|
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
|
"\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)",
|
||||||
|
"Cell \u001b[1;32mIn[16], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mimblearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mover_sampling\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m SMOTEREG\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mimblearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01munder_sampling\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m RandomUnderSampler\n\u001b[0;32m 4\u001b[0m oversampler \u001b[38;5;241m=\u001b[39m SMOTEREG(random_state\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m12\u001b[39m)\n",
|
||||||
|
"\u001b[1;31mImportError\u001b[0m: cannot import name 'SMOTEREG' from 'imblearn.over_sampling' (c:\\Users\\bocchanskyy\\source\\repos\\MAI_PIbd-33_Volkov_NA\\.venv\\Lib\\site-packages\\imblearn\\over_sampling\\__init__.py)"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"from imblearn.over_sampling import RandomOverSampler\n",
|
"from imblearn.over_sampling import RandomOverSampler\n",
|
||||||
"from imblearn.under_sampling import RandomUnderSampler\n",
|
"from imblearn.under_sampling import RandomUnderSampler\n",
|
||||||
@ -1980,9 +2057,9 @@
|
|||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"kernelspec": {
|
"kernelspec": {
|
||||||
"display_name": "Python (.venv)",
|
"display_name": ".venv",
|
||||||
"language": "python",
|
"language": "python",
|
||||||
"name": ".venv"
|
"name": "python3"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
|
|||||||
1121
lab3/lab3.ipynb
Normal file
1121
lab3/lab3.ipynb
Normal file
File diff suppressed because one or more lines are too long
564
poetry.lock
generated
564
poetry.lock
generated
@ -46,13 +46,13 @@ yaml = ["pyyaml"]
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "apispec"
|
name = "apispec"
|
||||||
version = "6.7.0"
|
version = "6.7.1"
|
||||||
description = "A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)."
|
description = "A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.9"
|
python-versions = ">=3.9"
|
||||||
files = [
|
files = [
|
||||||
{file = "apispec-6.7.0-py3-none-any.whl", hash = "sha256:7d2f2be3ceb7385eca550e4a2cc1e4d4a640093cc8fe04224301aa395a785b25"},
|
{file = "apispec-6.7.1-py3-none-any.whl", hash = "sha256:d99e7a564f3871327c17b3e43726cc1e6ade2c97aa05706644a48818fc37999e"},
|
||||||
{file = "apispec-6.7.0.tar.gz", hash = "sha256:fa2cf1063bb227ed6f7f66b019f320d7dc0a7cb02acdf166a160e2381f4b2c39"},
|
{file = "apispec-6.7.1.tar.gz", hash = "sha256:c01b8b6ff40ffedf55b79a67f9dd920e9b2fc3909aae116facf6c8372a08b933"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
@ -237,21 +237,20 @@ lxml = ["lxml"]
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "bleach"
|
name = "bleach"
|
||||||
version = "6.1.0"
|
version = "6.2.0"
|
||||||
description = "An easy safelist-based HTML-sanitizing tool."
|
description = "An easy safelist-based HTML-sanitizing tool."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.9"
|
||||||
files = [
|
files = [
|
||||||
{file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"},
|
{file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"},
|
||||||
{file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"},
|
{file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
six = ">=1.9.0"
|
|
||||||
webencodings = "*"
|
webencodings = "*"
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
css = ["tinycss2 (>=1.1.0,<1.3)"]
|
css = ["tinycss2 (>=1.1.0,<1.5)"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "blinker"
|
name = "blinker"
|
||||||
@ -482,6 +481,17 @@ files = [
|
|||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "cloudpickle"
|
||||||
|
version = "3.1.0"
|
||||||
|
description = "Pickler class to extend the standard pickle.Pickler functionality"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "cloudpickle-3.1.0-py3-none-any.whl", hash = "sha256:fe11acda67f61aaaec473e3afe030feb131d78a43461b718185363384f1ba12e"},
|
||||||
|
{file = "cloudpickle-3.1.0.tar.gz", hash = "sha256:81a929b6e3c7335c863c771d673d105f02efdb89dfaba0c90495d1c64796601b"},
|
||||||
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "colorama"
|
name = "colorama"
|
||||||
version = "0.4.6"
|
version = "0.4.6"
|
||||||
@ -611,37 +621,37 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "debugpy"
|
name = "debugpy"
|
||||||
version = "1.8.7"
|
version = "1.8.8"
|
||||||
description = "An implementation of the Debug Adapter Protocol for Python"
|
description = "An implementation of the Debug Adapter Protocol for Python"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "debugpy-1.8.7-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:95fe04a573b8b22896c404365e03f4eda0ce0ba135b7667a1e57bd079793b96b"},
|
{file = "debugpy-1.8.8-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:e59b1607c51b71545cb3496876544f7186a7a27c00b436a62f285603cc68d1c6"},
|
||||||
{file = "debugpy-1.8.7-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:628a11f4b295ffb4141d8242a9bb52b77ad4a63a2ad19217a93be0f77f2c28c9"},
|
{file = "debugpy-1.8.8-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6531d952b565b7cb2fbd1ef5df3d333cf160b44f37547a4e7cf73666aca5d8d"},
|
||||||
{file = "debugpy-1.8.7-cp310-cp310-win32.whl", hash = "sha256:85ce9c1d0eebf622f86cc68618ad64bf66c4fc3197d88f74bb695a416837dd55"},
|
{file = "debugpy-1.8.8-cp310-cp310-win32.whl", hash = "sha256:b01f4a5e5c5fb1d34f4ccba99a20ed01eabc45a4684f4948b5db17a319dfb23f"},
|
||||||
{file = "debugpy-1.8.7-cp310-cp310-win_amd64.whl", hash = "sha256:29e1571c276d643757ea126d014abda081eb5ea4c851628b33de0c2b6245b037"},
|
{file = "debugpy-1.8.8-cp310-cp310-win_amd64.whl", hash = "sha256:535f4fb1c024ddca5913bb0eb17880c8f24ba28aa2c225059db145ee557035e9"},
|
||||||
{file = "debugpy-1.8.7-cp311-cp311-macosx_14_0_universal2.whl", hash = "sha256:caf528ff9e7308b74a1749c183d6808ffbedbb9fb6af78b033c28974d9b8831f"},
|
{file = "debugpy-1.8.8-cp311-cp311-macosx_14_0_universal2.whl", hash = "sha256:c399023146e40ae373753a58d1be0a98bf6397fadc737b97ad612886b53df318"},
|
||||||
{file = "debugpy-1.8.7-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cba1d078cf2e1e0b8402e6bda528bf8fda7ccd158c3dba6c012b7897747c41a0"},
|
{file = "debugpy-1.8.8-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:09cc7b162586ea2171eea055985da2702b0723f6f907a423c9b2da5996ad67ba"},
|
||||||
{file = "debugpy-1.8.7-cp311-cp311-win32.whl", hash = "sha256:171899588bcd412151e593bd40d9907133a7622cd6ecdbdb75f89d1551df13c2"},
|
{file = "debugpy-1.8.8-cp311-cp311-win32.whl", hash = "sha256:eea8821d998ebeb02f0625dd0d76839ddde8cbf8152ebbe289dd7acf2cdc6b98"},
|
||||||
{file = "debugpy-1.8.7-cp311-cp311-win_amd64.whl", hash = "sha256:6e1c4ffb0c79f66e89dfd97944f335880f0d50ad29525dc792785384923e2211"},
|
{file = "debugpy-1.8.8-cp311-cp311-win_amd64.whl", hash = "sha256:d4483836da2a533f4b1454dffc9f668096ac0433de855f0c22cdce8c9f7e10c4"},
|
||||||
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{file = "debugpy-1.8.7-cp39-cp39-win_amd64.whl", hash = "sha256:6a9d9d6d31846d8e34f52987ee0f1a904c7baa4912bf4843ab39dadf9b8f3e0d"},
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{file = "debugpy-1.8.8-cp39-cp39-win_amd64.whl", hash = "sha256:5c0e5a38c7f9b481bf31277d2f74d2109292179081f11108e668195ef926c0f9"},
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||||||
{file = "debugpy-1.8.7-py2.py3-none-any.whl", hash = "sha256:57b00de1c8d2c84a61b90880f7e5b6deaf4c312ecbde3a0e8912f2a56c4ac9ae"},
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{file = "debugpy-1.8.8-py2.py3-none-any.whl", hash = "sha256:ec684553aba5b4066d4de510859922419febc710df7bba04fe9e7ef3de15d34f"},
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||||||
{file = "debugpy-1.8.7.zip", hash = "sha256:18b8f731ed3e2e1df8e9cdaa23fb1fc9c24e570cd0081625308ec51c82efe42e"},
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{file = "debugpy-1.8.8.zip", hash = "sha256:e6355385db85cbd666be703a96ab7351bc9e6c61d694893206f8001e22aee091"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -694,6 +704,41 @@ files = [
|
|||||||
[package.extras]
|
[package.extras]
|
||||||
devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
|
devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "featuretools"
|
||||||
|
version = "1.31.0"
|
||||||
|
description = "a framework for automated feature engineering"
|
||||||
|
optional = false
|
||||||
|
python-versions = "<4,>=3.9"
|
||||||
|
files = [
|
||||||
|
{file = "featuretools-1.31.0-py3-none-any.whl", hash = "sha256:87c94e9ae959c89acd83da96bd2583f3ef0f6daaa9639cbb6e46dbde2c742a18"},
|
||||||
|
{file = "featuretools-1.31.0.tar.gz", hash = "sha256:01bfb17fcc1715b4c3623c7bc94a8982122c4a0fa03350ed478601bb81f90155"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
cloudpickle = ">=1.5.0"
|
||||||
|
holidays = ">=0.17"
|
||||||
|
numpy = ">=1.25.0"
|
||||||
|
packaging = ">=20.0"
|
||||||
|
pandas = ">=2.0.0"
|
||||||
|
psutil = ">=5.7.0"
|
||||||
|
scipy = ">=1.10.0"
|
||||||
|
tqdm = ">=4.66.3"
|
||||||
|
woodwork = ">=0.28.0"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
autonormalize = ["autonormalize (>=2.0.1)"]
|
||||||
|
complete = ["featuretools[dask,nlp,premium]"]
|
||||||
|
dask = ["dask[dataframe] (>=2023.2.0)", "distributed (>=2023.2.0)"]
|
||||||
|
dev = ["black[jupyter] (>=23.1.0)", "featuretools[dask,docs,test]", "pre-commit (>=2.20.0)", "ruff (>=0.1.6)"]
|
||||||
|
docs = ["Sphinx (==5.1.1)", "autonormalize (>=2.0.1)", "click (>=7.0.0)", "featuretools[dask,test]", "ipython (==8.4.0)", "jupyter (==1.0.0)", "jupyter-client (>=8.0.2)", "matplotlib (==3.7.2)", "myst-parser (==0.18.0)", "nbconvert (==6.5.0)", "nbsphinx (==0.8.9)", "pydata-sphinx-theme (==0.9.0)", "sphinx-copybutton (==0.5.0)", "sphinx-inline-tabs (==2022.1.2b11)"]
|
||||||
|
nlp = ["nlp-primitives (>=2.12.0)"]
|
||||||
|
premium = ["premium-primitives (>=0.0.3)"]
|
||||||
|
sklearn = ["featuretools-sklearn-transformer (>=1.0.0)"]
|
||||||
|
sql = ["featuretools-sql (>=0.0.1)", "psycopg2-binary (>=2.9.3)"]
|
||||||
|
test = ["boto3 (>=1.34.32)", "composeml (>=0.8.0)", "graphviz (>=0.8.4)", "moto[all] (>=5.0.0)", "pip (>=23.3.0)", "pyarrow (>=14.0.1)", "pympler (>=0.8)", "pytest (>=7.1.2)", "pytest-cov (>=3.0.0)", "pytest-timeout (>=2.1.0)", "pytest-xdist (>=2.5.0)", "smart-open (>=5.0.0)", "urllib3 (>=1.26.18)"]
|
||||||
|
tsfresh = ["featuretools-tsfresh-primitives (>=1.0.0)"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "flask"
|
name = "flask"
|
||||||
version = "3.0.3"
|
version = "3.0.3"
|
||||||
@ -858,6 +903,20 @@ files = [
|
|||||||
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
|
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "holidays"
|
||||||
|
version = "0.60"
|
||||||
|
description = "World Holidays Framework"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.9"
|
||||||
|
files = [
|
||||||
|
{file = "holidays-0.60-py3-none-any.whl", hash = "sha256:d857949c5ee35655215a10c5a26e6a856bdc3beccc4fbbc8debef98dfba17b82"},
|
||||||
|
{file = "holidays-0.60.tar.gz", hash = "sha256:495fc5123f5d92b92673237375eb8c15a03d21c647b089db509b7d9612267556"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
python-dateutil = "*"
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "httpcore"
|
name = "httpcore"
|
||||||
version = "1.0.6"
|
version = "1.0.6"
|
||||||
@ -942,6 +1001,25 @@ examples = ["keras (>=2.4.3)", "matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "seab
|
|||||||
optional = ["keras (>=2.4.3)", "pandas (>=1.0.5)", "tensorflow (>=2.4.3)"]
|
optional = ["keras (>=2.4.3)", "pandas (>=1.0.5)", "tensorflow (>=2.4.3)"]
|
||||||
tests = ["black (>=23.3.0)", "flake8 (>=3.8.2)", "keras (>=2.4.3)", "mypy (>=1.3.0)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "tensorflow (>=2.4.3)"]
|
tests = ["black (>=23.3.0)", "flake8 (>=3.8.2)", "keras (>=2.4.3)", "mypy (>=1.3.0)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "tensorflow (>=2.4.3)"]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "importlib-resources"
|
||||||
|
version = "6.4.5"
|
||||||
|
description = "Read resources from Python packages"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
|
||||||
|
{file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
|
||||||
|
cover = ["pytest-cov"]
|
||||||
|
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
||||||
|
enabler = ["pytest-enabler (>=2.2)"]
|
||||||
|
test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
|
||||||
|
type = ["pytest-mypy"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "ipykernel"
|
name = "ipykernel"
|
||||||
version = "6.29.5"
|
version = "6.29.5"
|
||||||
@ -1350,13 +1428,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "jupyterlab"
|
name = "jupyterlab"
|
||||||
version = "4.2.5"
|
version = "4.3.0"
|
||||||
description = "JupyterLab computational environment"
|
description = "JupyterLab computational environment"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "jupyterlab-4.2.5-py3-none-any.whl", hash = "sha256:73b6e0775d41a9fee7ee756c80f58a6bed4040869ccc21411dc559818874d321"},
|
{file = "jupyterlab-4.3.0-py3-none-any.whl", hash = "sha256:f67e1095ad61ae04349024f0b40345062ab108a0c6998d9810fec6a3c1a70cd5"},
|
||||||
{file = "jupyterlab-4.2.5.tar.gz", hash = "sha256:ae7f3a1b8cb88b4f55009ce79fa7c06f99d70cd63601ee4aa91815d054f46f75"},
|
{file = "jupyterlab-4.3.0.tar.gz", hash = "sha256:7c6835cbf8df0af0ec8a39332e85ff11693fb9a468205343b4fc0bfbc74817e5"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
@ -1375,9 +1453,9 @@ tornado = ">=6.2.0"
|
|||||||
traitlets = "*"
|
traitlets = "*"
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.3.5)"]
|
dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.6.9)"]
|
||||||
docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"]
|
docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.1.0)", "sphinx-copybutton"]
|
||||||
docs-screenshots = ["altair (==5.3.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.2)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.1.post2)", "matplotlib (==3.8.3)", "nbconvert (>=7.0.0)", "pandas (==2.2.1)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
|
docs-screenshots = ["altair (==5.4.1)", "ipython (==8.16.1)", "ipywidgets (==8.1.5)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.2.post3)", "matplotlib (==3.9.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.3)", "scipy (==1.14.1)", "vega-datasets (==0.9.0)"]
|
||||||
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
|
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
|
||||||
upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"]
|
upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"]
|
||||||
|
|
||||||
@ -1623,13 +1701,13 @@ files = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "marshmallow"
|
name = "marshmallow"
|
||||||
version = "3.23.0"
|
version = "3.23.1"
|
||||||
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
|
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.9"
|
python-versions = ">=3.9"
|
||||||
files = [
|
files = [
|
||||||
{file = "marshmallow-3.23.0-py3-none-any.whl", hash = "sha256:82f20a2397834fe6d9611b241f2f7e7b680ed89c49f84728a1ad937be6b4bdf4"},
|
{file = "marshmallow-3.23.1-py3-none-any.whl", hash = "sha256:fece2eb2c941180ea1b7fcbd4a83c51bfdd50093fdd3ad2585ee5e1df2508491"},
|
||||||
{file = "marshmallow-3.23.0.tar.gz", hash = "sha256:98d8827a9f10c03d44ead298d2e99c6aea8197df18ccfad360dae7f89a50da2e"},
|
{file = "marshmallow-3.23.1.tar.gz", hash = "sha256:3a8dfda6edd8dcdbf216c0ede1d1e78d230a6dc9c5a088f58c4083b974a0d468"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
@ -1637,7 +1715,7 @@ packaging = ">=17.0"
|
|||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
|
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
|
||||||
docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)", "sphinx-version-warning (==1.1.2)"]
|
docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)", "sphinx-version-warning (==1.1.2)"]
|
||||||
tests = ["pytest", "simplejson"]
|
tests = ["pytest", "simplejson"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1821,26 +1899,26 @@ files = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "notebook"
|
name = "notebook"
|
||||||
version = "7.2.2"
|
version = "7.0.7"
|
||||||
description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
|
description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
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files = [
|
||||||
{file = "notebook-7.2.2-py3-none-any.whl", hash = "sha256:c89264081f671bc02eec0ed470a627ed791b9156cad9285226b31611d3e9fe1c"},
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||||||
{file = "notebook-7.2.2.tar.gz", hash = "sha256:2ef07d4220421623ad3fe88118d687bc0450055570cdd160814a59cf3a1c516e"},
|
{file = "notebook-7.0.7.tar.gz", hash = "sha256:3bcff00c17b3ac142ef5f436d50637d936b274cfa0b41f6ac0175363de9b4e09"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
jupyter-server = ">=2.4.0,<3"
|
jupyter-server = ">=2.4.0,<3"
|
||||||
jupyterlab = ">=4.2.0,<4.3"
|
jupyterlab = ">=4.0.2,<5"
|
||||||
jupyterlab-server = ">=2.27.1,<3"
|
jupyterlab-server = ">=2.22.1,<3"
|
||||||
notebook-shim = ">=0.2,<0.3"
|
notebook-shim = ">=0.2,<0.3"
|
||||||
tornado = ">=6.2.0"
|
tornado = ">=6.2.0"
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
dev = ["hatch", "pre-commit"]
|
dev = ["hatch", "pre-commit"]
|
||||||
docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
|
docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
|
||||||
test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.27.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"]
|
test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.22.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "notebook-shim"
|
name = "notebook-shim"
|
||||||
@ -1861,64 +1939,66 @@ test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "numpy"
|
name = "numpy"
|
||||||
version = "2.1.2"
|
version = "2.1.3"
|
||||||
description = "Fundamental package for array computing in Python"
|
description = "Fundamental package for array computing in Python"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.10"
|
python-versions = ">=3.10"
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||||||
files = [
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files = [
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|
||||||
[[package]]
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[[package]]
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@ -1934,13 +2014,13 @@ files = [
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[[package]]
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[[package]]
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version = "24.2"
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]
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]
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||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -2868,23 +2935,23 @@ win32 = ["pywin32"]
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "setuptools"
|
name = "setuptools"
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||||||
version = "75.2.0"
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version = "75.3.0"
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||||||
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
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||||||
files = [
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files = [
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]
|
]
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"]
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check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"]
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||||||
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||||||
cover = ["pytest-cov"]
|
cover = ["pytest-cov"]
|
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enabler = ["pytest-enabler (>=2.2)"]
|
||||||
test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
|
test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
|
||||||
type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"]
|
type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.12.*)", "pytest-mypy"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "six"
|
name = "six"
|
||||||
@ -3008,6 +3075,27 @@ files = [
|
|||||||
{file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"},
|
{file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"},
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "tqdm"
|
||||||
|
version = "4.67.0"
|
||||||
|
description = "Fast, Extensible Progress Meter"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.7"
|
||||||
|
files = [
|
||||||
|
{file = "tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be"},
|
||||||
|
{file = "tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
||||||
|
discord = ["requests"]
|
||||||
|
notebook = ["ipywidgets (>=6)"]
|
||||||
|
slack = ["slack-sdk"]
|
||||||
|
telegram = ["requests"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "traitlets"
|
name = "traitlets"
|
||||||
version = "5.14.3"
|
version = "5.14.3"
|
||||||
@ -3152,13 +3240,13 @@ test = ["websockets"]
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "werkzeug"
|
name = "werkzeug"
|
||||||
version = "3.0.5"
|
version = "3.1.3"
|
||||||
description = "The comprehensive WSGI web application library."
|
description = "The comprehensive WSGI web application library."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.9"
|
||||||
files = [
|
files = [
|
||||||
{file = "werkzeug-3.0.5-py3-none-any.whl", hash = "sha256:6e589e0b303561b8b1a61d363ee05b1d7de6ca12f27a3a25269ae6ee93e363fd"},
|
{file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"},
|
||||||
{file = "werkzeug-3.0.5.tar.gz", hash = "sha256:033bc3783777078517f32ae3ba9e86e9bc38bdbf139b1a5a3af9679a64ed1293"},
|
{file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
@ -3178,7 +3266,33 @@ files = [
|
|||||||
{file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"},
|
{file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"},
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "woodwork"
|
||||||
|
version = "0.31.0"
|
||||||
|
description = "a data typing library for machine learning"
|
||||||
|
optional = false
|
||||||
|
python-versions = "<4,>=3.9"
|
||||||
|
files = [
|
||||||
|
{file = "woodwork-0.31.0-py3-none-any.whl", hash = "sha256:5cb3370553b5f466f8c8599b1bf559584dc0b798cc1f2da26bbd7029d256c6f9"},
|
||||||
|
{file = "woodwork-0.31.0.tar.gz", hash = "sha256:6ef82af1d5b6525b02efe6417c574c810cfdcc606cb266bd0d7fb17a1d066b67"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
importlib-resources = ">=5.10.0"
|
||||||
|
numpy = ">=1.25.0"
|
||||||
|
pandas = ">=2.0.0"
|
||||||
|
python-dateutil = ">=2.8.2"
|
||||||
|
scikit-learn = ">=1.1.0"
|
||||||
|
scipy = ">=1.10.0"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
complete = ["woodwork[updater]"]
|
||||||
|
dev = ["click (>=8.1.7)", "pre-commit (>=2.20.0)", "ruff (>=0.1.6)", "woodwork[docs,test]"]
|
||||||
|
docs = ["Sphinx (==5.1.1)", "ipython (==8.4.0)", "jupyter (==1.0.0)", "myst-parser (==0.18.0)", "nbconvert (==6.5.0)", "nbsphinx (==0.8.9)", "pyarrow (>=14.0.1)", "pydata-sphinx-theme (==0.9.0)", "sphinx-copybutton (==0.5.0)", "sphinx-inline-tabs (==2022.1.2b11)"]
|
||||||
|
test = ["boto3 (>=1.34.32)", "moto[all] (>=5.0.0)", "pyarrow (>=14.0.1)", "pytest (>=7.0.1)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=2.1.0)", "smart-open (>=5.0.0)"]
|
||||||
|
updater = ["alteryx-open-src-update-checker (>=3.1.0)"]
|
||||||
|
|
||||||
[metadata]
|
[metadata]
|
||||||
lock-version = "2.0"
|
lock-version = "2.0"
|
||||||
python-versions = "^3.12"
|
python-versions = "^3.12"
|
||||||
content-hash = "8f6f51a2fb7bb7aace7499e9b968bf191e5756a935a92dec2319fed34e82d7aa"
|
content-hash = "556410853ef9373c37e89e83904ed4a45f8d9cd01980211241a736f9697b291b"
|
||||||
|
|||||||
@ -18,6 +18,7 @@ flask-cors = "^5.0.0"
|
|||||||
ipykernel = "^6.29.5"
|
ipykernel = "^6.29.5"
|
||||||
imbalanced-learn = "^0.12.4"
|
imbalanced-learn = "^0.12.4"
|
||||||
seaborn = "^0.13.2"
|
seaborn = "^0.13.2"
|
||||||
|
featuretools = "^1.31.0"
|
||||||
|
|
||||||
|
|
||||||
[tool.poetry.group.dev.dependencies]
|
[tool.poetry.group.dev.dependencies]
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user