{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "b461eaf2", "metadata": {}, "source": [ "## 字符集库\n", "+ zhon 它提供了中文文本处理中常用的常量。" ] }, { "cell_type": "code", "execution_count": 4, "id": "b6dc3dc0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "〇一-鿿㐀-䶿豈-﫿𠀀-𪛟𪜀-𫜿𫝀-𫠟丽-𯨟\n", "＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､　、〃〈〉《》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏﹑﹔·．！？｡。\n" ] } ], "source": [ "from zhon import hanzi\n", "\n", "# 返回的是中文正则\n", "print(hanzi.characters)\n", "\n", "# 返回所有中文标点符号\n", "print(hanzi.punctuation)" ] }, { "cell_type": "code", "execution_count": 5, "id": "66e07ee5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'你好￥%@中文'" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import re\n", "\n", "re.sub(f'[{hanzi.punctuation}]','','你好￥%@！中文')" ] }, { "attachments": {}, "cell_type": "markdown", "id": "53a28e98", "metadata": {}, "source": [ "+ string库 提供了常用 英文字符集" ] }, { "cell_type": "code", "execution_count": 6, "id": "8507180e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ\n", "!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~\n" ] }, { "data": { "text/plain": [ "'0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~ \\t\\n\\r\\x0b\\x0c'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import string\n", "\n", "print(string.ascii_letters) # 所有的字母\n", "print(string.punctuation) # 返回所有英文标点\n", "string.printable # 所有可打印字符包含 数字，英文大小写，英文符号，空格，换行符等" ] }, { "cell_type": "code", "execution_count": 7, "id": "ac6ebde7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['你', '好', '他', '中', '文']" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import re\n", "\n", "re.findall(f'[{hanzi.characters}]','你好xxx hello,他中文')" ] }, { "cell_type": "code", "execution_count": 8, "id": "473d1970-1321-4323-9c98-78cac2d88c68", "metadata": {}, "outputs": [], "source": [ "import re\n", "import pandas as pd\n", "import numpy as np\n", "import emoji\n", "from zhon import hanzi\n", "import string" ] }, { "cell_type": "code", "execution_count": 9, "id": "78520850", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "<>:3: SyntaxWarning: invalid escape sequence '\\S'\n", "<>:3: SyntaxWarning: invalid escape sequence '\\S'\n", "C:\\Users\\Administrator.DESKTOP-7IC2USJ\\AppData\\Local\\Temp\\ipykernel_36048\\1735783563.py:3: SyntaxWarning: invalid escape sequence '\\S'\n", " text = re.sub(':\\S+?:', '', text)\n" ] } ], "source": [ "def filter_emoji(text):\n", " # 先过滤 emoji 表情\n", " text = re.sub(':\\S+?:', '', text)\n", " # 在过滤其他表情，只保留 数字，中英文，中英文符号，空格\n", " return re.sub(r'[^{}^{}^{}]'.format(hanzi.characters,hanzi.punctuation,string.printable),'',text)" ] }, { "cell_type": "code", "execution_count": 14, "id": "2551fd66", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "',{106} 晋JBT717丰田陈平 #19《67》{56} 海湾280晋A513LR长城哈弗H6'" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 测试\n", "s = \"😃,{106} ★♚♚晋JBT717丰田陈平 #19《67》{56} ★󾓭️海湾280晋A513LR长城哈弗H6\"\n", "filter_emoji(s)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "dbf763b4", "metadata": {}, "source": [ "# 处理 Excel 文件" ] }, { "cell_type": "code", "execution_count": 11, "id": "b8efc024", "metadata": {}, "outputs": [ { "ename": "SyntaxError", "evalue": "invalid syntax (332018563.py, line 1)", "output_type": "error", "traceback": [ "\u001b[1;36m Cell \u001b[1;32mIn[11], line 1\u001b[1;36m\u001b[0m\n\u001b[1;33m curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n" ] } ], "source": [ "curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py" ] }, { "cell_type": "code", "execution_count": 12, "id": "282388e6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: pip in d:\\programtools\\anaconda\\lib\\site-packages (24.3.1)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install --upgrade pip" ] }, { "cell_type": "code", "execution_count": 13, "id": "70e97daf", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: emoji in d:\\programtools\\anaconda\\lib\\site-packages (2.14.0)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install emoji" ] }, { "cell_type": "code", "execution_count": 5, "id": "e0d0887b-dbb0-4776-bf46-1ae8787c455c", "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "No engine for filetype: 'xls'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mOptionError\u001b[0m Traceback (most recent call last)", "\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\io\\excel\\_base.py\u001b[0m in \u001b[0;36m__new__\u001b[1;34m(cls, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs)\u001b[0m\n\u001b[0;32m 1110\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1111\u001b[1;33m \u001b[0mengine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_option\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"io.excel.{ext}.writer\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1112\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"auto\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\_config\\config.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 260\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[0mT\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 261\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__func__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 262\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\_config\\config.py\u001b[0m in \u001b[0;36m_get_option\u001b[1;34m(pat, silent)\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_get_option\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[0mAny\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_get_single_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 136\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\_config\\config.py\u001b[0m in \u001b[0;36m_get_single_key\u001b[1;34m(pat, silent)\u001b[0m\n\u001b[0;32m 120\u001b[0m \u001b[0m_warn_if_deprecated\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 121\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mOptionError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"No such keys(s): {repr(pat)}\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 122\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mOptionError\u001b[0m: \"No such keys(s): 'io.excel.xls.writer'\"", "\nThe above exception was the direct cause of the following exception:\n", "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mcolumn\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 17\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mfilter_emoji\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32melse\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 18\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_excel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mr\"C:\\Users\\admin\\Desktop\\大唛养车总部_Sheet1_6_去除后.xls\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mto_excel\u001b[1;34m(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, inf_rep, freeze_panes, storage_options)\u001b[0m\n\u001b[0;32m 2250\u001b[0m \u001b[0minf_rep\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minf_rep\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2251\u001b[0m )\n\u001b[1;32m-> 2252\u001b[1;33m formatter.write(\n\u001b[0m\u001b[0;32m 2253\u001b[0m \u001b[0mexcel_writer\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2254\u001b[0m \u001b[0msheet_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msheet_name\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\io\\formats\\excel.py\u001b[0m in \u001b[0;36mwrite\u001b[1;34m(self, writer, sheet_name, startrow, startcol, freeze_panes, engine, storage_options)\u001b[0m\n\u001b[0;32m 932\u001b[0m \u001b[1;31m# error: Cannot instantiate abstract class 'ExcelWriter' with abstract\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 933\u001b[0m \u001b[1;31m# attributes 'engine', 'save', 'supported_extensions' and 'write_cells'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 934\u001b[1;33m writer = ExcelWriter( # type: ignore[abstract]\n\u001b[0m\u001b[0;32m 935\u001b[0m \u001b[0mwriter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstorage_options\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstorage_options\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 936\u001b[0m )\n", "\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\io\\excel\\_base.py\u001b[0m in \u001b[0;36m__new__\u001b[1;34m(cls, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs)\u001b[0m\n\u001b[0;32m 1113\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_default_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mext\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"writer\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1114\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1115\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"No engine for filetype: '{ext}'\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1116\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1117\u001b[0m \u001b[1;31m# for mypy\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mValueError\u001b[0m: No engine for filetype: 'xls'" ] } ], "source": [ "import re\n", "import pandas as pd\n", "import numpy as np\n", "import emoji\n", "from zhon import hanzi\n", "import string\n", " \n", "def filter_emoji(text):\n", " # 先过滤 emoji 表情\n", " text = re.sub(':\\S+?:', '', text)\n", " # 在过滤其他表情，只保留 数字，中英文，中英文符号，空格\n", " return re.sub(r'[^{}^{}^{}]'.format(hanzi.characters,hanzi.punctuation,string.printable),'',text)\n", "\n", "\n", "df = pd.read_excel(r\"C:\\Users\\admin\\Desktop\\大唛养车总部_Sheet1_6.xls\", sheet_name='Sheet1', dtype='string')\n", "for column in df.columns:\n", " df[column]=df[column].apply(lambda x: filter_emoji(x) if isinstance(x, str) else x)\n", "df.to_excel(r\"C:\\Users\\admin\\Desktop\\大唛养车总部_Sheet1_6_去除后.xls\",index=False)\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "ff220721", "metadata": {}, "outputs": [], "source": [ "old = df['客户姓名']" ] }, { "cell_type": "code", "execution_count": 3, "id": "802e9a09", "metadata": {}, "outputs": [], "source": [ "# 替换\n", "\n", "df['客户姓名'] = df['客户姓名'].apply(filter_emoji)\n", "df.to_excel('output_remove_emoji.xlsx',index=False)" ] }, { "cell_type": "code", "execution_count": 4, "id": "55471334", "metadata": {}, "outputs": [], "source": [ "new = df['客户姓名']" ] }, { "cell_type": "code", "execution_count": 5, "id": "c13b60a8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(old != new).sum()" ] }, { "cell_type": "code", "execution_count": 6, "id": "fee4d084", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Series([], Name: 客户姓名, dtype: object)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "old.loc[old != new]" ] }, { "cell_type": "code", "execution_count": 8, "id": "3dfa1b3d-dbd1-4128-95d4-ad54e43bd7ee", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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客户姓名性别车牌号手机号码标签VIN码车身颜色备注车辆所有人发动机号...会员号可用积分累计获取积分专属门店专属顾问客户推广员工注册日期发证日期车辆来源车辆推广员工
0杨义林<NA>宁E5E15518395213630<NA>LSVCG6C43LN102469<NA><NA><NA><NA>...<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1仁合鹏<NA>宁DU051215209679692<NA><NA><NA><NA><NA><NA>...<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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3苏彦林<NA>宁D5E76513995443053<NA><NA><NA><NA><NA><NA>...<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4马成<NA>宁DBL13814795049132<NA><NA><NA><NA><NA><NA>...<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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5 rows × 37 columns

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" ], "text/plain": [ " 客户姓名 性别 车牌号 手机号码 标签 VIN码 车身颜色 备注 车辆所有人 \\\n", "0 杨义林 宁E5E155 18395213630 LSVCG6C43LN102469 \n", "1 仁合鹏 宁DU0512 15209679692 \n", "2 苏琴 宁DP0726 18409548289 LSVUD60N2MN010961 \n", "3 苏彦林 宁D5E765 13995443053 \n", "4 马成 宁DBL138 14795049132 \n", "\n", " 发动机号 ... 会员号 可用积分 累计获取积分 专属门店 专属顾问 客户推广员工 注册日期 发证日期 车辆来源 车辆推广员工 \n", "0 ... \n", "1 ... \n", "2 ... \n", "3 ... \n", "4 ... \n", "\n", "[5 rows x 37 columns]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 1, "id": "17e9c41c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n", "Collecting cowsay\n", " Downloading https://pypi.tuna.tsinghua.edu.cn/packages/6b/b8/9f497fd045d74fe21d91cbe8debae0b451229989e35b539d218547d79fc6/cowsay-5.0.tar.gz (25 kB)\n", " Preparing metadata (setup.py): started\n", " Preparing metadata (setup.py): finished with status 'done'\n", "Building wheels for collected packages: cowsay\n", " Building wheel for cowsay (setup.py): started\n", " Building wheel for cowsay (setup.py): finished with status 'done'\n", " Created wheel for cowsay: filename=cowsay-5.0-py2.py3-none-any.whl size=25707 sha256=6f5c2b68adcfbcf789f1904146a473ad977272737279c74167e6726335c6e89a\n", " Stored in directory: c:\\users\\杨国栋\\appdata\\local\\pip\\cache\\wheels\\26\\07\\b6\\ce0395a0094046669a36aa4995af91f543476d725b9b2baccc\n", "Successfully built cowsay\n", "Installing collected packages: cowsay\n", "Successfully installed cowsay-5.0\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install cowsay" ] }, { "cell_type": "code", "execution_count": 1, "id": "b84d6cb7", "metadata": {}, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'cowsay'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mcowsay\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mcowsay\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdaemon\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'哈哈哈'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'cowsay'" ] } ], "source": [ "import cowsay\n", "cowsay.daemon('哈哈哈111')" ] }, { "cell_type": "code", "execution_count": 3, "id": "c89a5d5b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n", "Collecting freegames\n", " Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b9/22/3da53ac5d408c88ce53c589eb5a7a0e18cccdd6a8b0be40616635db18ca3/freegames-2.5.3-py3-none-any.whl (112 kB)\n", " -------------------------------------- 112.8/112.8 kB 1.6 MB/s eta 0:00:00\n", "Installing collected packages: freegames\n", "Successfully installed freegames-2.5.3\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install freegames" ] }, { "cell_type": "code", "execution_count": 4, "id": "1df1bc35", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os\n", "# 查看所有游戏名称\n", "os.system('python -m freegames list')\n", "# 运行指定游戏\n", "os.system('python -m freegames.snake')\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "9634389d", "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "invalid literal for int() with base 16: 'ð\\xa0\\x93¾'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_10260/1880065888.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mencoded_str\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'\\xF0\\xA0\\x93\\xBE'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdecoded_str\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mchr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mencoded_str\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m16\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdecoded_str\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mValueError\u001b[0m: invalid literal for int() with base 16: 'ð\\xa0\\x93¾'" ] } ], "source": [ "encoded_str = '\\xF0\\xA0\\x93\\xBE'\n", "decoded_str = chr(int(encoded_str, 16))\n", "print(decoded_str)" ] } ], "metadata": { "kernelspec": { "display_name": "base", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.4" } }, "nbformat": 4, "nbformat_minor": 5 }