{ "cells": [ { "cell_type": "code", "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2025-05-15T03:14:27.994103Z", "start_time": "2025-05-15T02:03:56.503917Z" } }, "source": [ "import requests\n", "import re\n", "import time\n", "\n", "timestamp_ms = int(time.time() * 1000)\n", "\n", "import pandas as pd\n", "import requests\n", "from tqdm import tqdm\n", "from bs4 import BeautifulSoup\n", "from urllib.parse import urlencode, quote\n", "import time\n", "from requests.exceptions import RequestException\n", "\n", "# 读取Excel文件\n", "df = pd.read_excel(r\"D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\大唛云订单明细 (2).xlsx\")\n", "\n", "# 定义要提取的基本字段列表\n", "BASE_FIELDS = [\n", " '保险公司', '保险到期', '年检日期', '车架号',\n", " '购车日期', '服务日期', '服务里程',\n", " '下次服务日期', '下次服务里程'\n", "]\n", "\n", "# 创建两个DataFrame分别存储不同类型的数据\n", "base_info_df = df.copy() # 存储基本信息\n", "service_items_df = pd.DataFrame() # 存储消费项目明细\n", "\n", "\n", "def make_request_with_retry(url, headers, max_retries=10, retry_delay=1):\n", " \"\"\"带重试机制的请求函数\"\"\"\n", " for attempt in range(max_retries):\n", " try:\n", " res = requests.get(url=url, headers=headers, timeout=10)\n", " res.raise_for_status()\n", " return res\n", " except RequestException as e:\n", " if attempt == max_retries - 1:\n", " raise\n", " print(f\"请求失败，第 {attempt + 1} 次重试... 错误: {str(e)}\")\n", " time.sleep(retry_delay)\n", " return None\n", " # print(res.text)\n", "\n", "\n", "def extract_session_id(html_content):\n", " soup = BeautifulSoup(html_content, \"html.parser\")\n", " scripts = soup.find_all(\"script\", text=re.compile(r\"(FR\\.SessionMgr\\.register|currentSessionID)\"))\n", "\n", " session_ids = set()\n", " for script in scripts:\n", " # 匹配注册语句中的sessionid\n", " register_match = re.search(r\"FR\\.SessionMgr\\.register\\('(\\d+)'\", script.text)\n", " if register_match:\n", " session_ids.add(register_match.group(1))\n", "\n", " # 匹配变量赋值中的sessionid\n", " current_match = re.search(r\"currentSessionID\\s*=\\s*'(\\d+)'\", script.text)\n", " if current_match:\n", " session_ids.add(current_match.group(1))\n", "\n", " return list(session_ids)\n", "\n", "\n", "for index, row in tqdm(list(df.iterrows()), desc=\"处理订单\"):\n", " order_number = row[\"单号\"]\n", " success = False\n", " # print(f\"正在处理订单 {order_number}\")\n", "\n", " timestamp_ms = int(time.time() * 1000)\n", " for attempt in range(10): # 最大重试次数\n", " try:\n", " url = (\n", " \"http://rp.chezizhu.com/ReportServer?reportlet=/czz/order/order.cpt&__parameters__={%22_%22:%22\" + f\"{timestamp_ms}\" + \"%22,%22PINGJIA%22:[5b][5d],%22DISCOUNT_DESC%22:%22%22,%22B%22:%222011-05-01%22,%22LABELPLATE_NUMBER%22:%22%25E8%25BD%25A6%25E7%2589%258C%25E5%258F%25B7%22,%22LABELUSER_NAME%22:%22%25E5%25A7%2593%25E5%2590%258D%22,%22E%22:%222025-05-07%22,%22SERVICER%22:[5b][5d],%22CAR_NAME%22:%22%22,%22ORDER_SERVICE_TYPE%22:%22%22,%22order_number%22:%22\" + order_number + \"%22,%22USER_MOBILE%22:%22%22,%22LABELUSER_STATE%22:%22%25E6%2596%25B0%25E8%2580%2581%25E7%2594%25A8%25E6%2588%25B7%22,%22LABELCAR_NAME%22:%22%25E8%25BD%25A6%25E5%259E%258B%22,%22SERVICER_ID%22:%22683XGWqnyn66mE1oa8Gkzb%22,%22LABELORDER_SOURCE%22:%22%25E8%25AE%25A2%25E5%258D%2595%25E6%259D%25A5%25E6%25BA%2590%22,%22LABELE%22:%22%25E8%2587%25B3%22,%22LABELSERVER%22:%22%25E9%2597%25A8%25E5%25BA%2597%22,%22LABELGONGDAN_STATUS%22:%22%25E5%25B7%25A5%25E5%258D%2595%25E7%258A%25B6%25E6%2580%2581%22,%22LABELORDER_STATUS%22:%22%25E8%25AE%25A2%25E5%258D%2595%25E7%258A%25B6%25E6%2580%2581%22,%22ORDER_STATUS%22:[5b][5d],%22CMD%22:%22parameters_d%22,%22PAY_METHOD%22:%22%22,%22LABELUSER_MOBILE%22:%22%25E5%25AE%25A2%25E6%2588%25B7%25E7%2594%25B5%25E8%25AF%259D%22,%22LABELPINGJIA%22:%22%25E8%25AF%2584%25E4%25BB%25B7%25E7%258A%25B6%25E6%2580%2581%22,%22USER_STATE%22:[5b][5d],%22LABELRP_TYPE%22:%22%25E6%258A%25A5%25E8%25A1%25A8%25E7%25B1%25BB%25E5%259E%258B%22,%22LABELPAY_METHOD%22:%22%25E7%25BB%2593%25E7%25AE%2597%25E6%2596%25B9%25E5%25BC%258F%22,%22USER_NAME%22:%22%22,%22REPORTNAME%22:%22czz%252Forder%252Forder_detail_md.cpt%22,%22DISCOUNT_TYPE%22:%22%22,%22DATE_TYPE%22:%22%25E5%25AE%258C%25E6%2588%2590%25E6%2597%25A5%25E6%259C%259F%22,%22LABELDISCOUNT_DESC%22:%22%25E6%258A%2598%25E6%2589%25A3%25E5%258E%259F%25E5%259B%25A0%22,%22GONGDAN_STATUS%22:[5b][5d],%22__STREAMCLOSED__%22:%22%22,%22__pi__%22:%22true%22,%22CHANNEL%22:%22%22,%22DATABASE%22:%22chezizhu_14%22,%22ORDER_SOURCE%22:[5b][5d],%22LABELORDER_NUMBER%22:%22%25E8%25AE%25A2%25E5%258D%2595%25E5%258F%25B7%22,%22PLATE_NUMBER%22:%22%22,%22RP_TYPE%22:%22%25E9%25AB%2598%25E7%25BA%25A7%25E6%2590%259C%25E7%25B4%25A2%22}\"\n", " )\n", "\n", " headers = {\n", " 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',\n", " 'Accept-Encoding': 'gzip, deflate',\n", " 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n", " 'Cache-Control': 'max-age=0',\n", " 'Connection': 'keep-alive',\n", " 'Cookie': 'td_cookie=2912605941',\n", " 'Host': 'rp.chezizhu.com',\n", " 'Referer': 'http://rp.chezizhu.com/ReportServer?reportlet=czz/order/order_detail_md.cpt&servicer_id=683XGWqnyn66mE1oa8Gkzb&database=chezizhu_14',\n", " 'Upgrade-Insecure-Requests': '1',\n", " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36 Edg/136.0.0.0'\n", " }\n", "\n", " res = requests.get(url, headers=headers)\n", "\n", " session_ids = extract_session_id(res.text)\n", " # print(\"提取到的SessionID:\", session_ids[0])\n", " # ========== 请求部分 ==========\n", " url = f\"http://rp.chezizhu.com/ReportServer?_={timestamp_ms}&__boxModel__=true&op=page_content&sessionID={session_ids[0]}&pn=1&__fit__=false\"\n", "\n", " headers = {\n", " 'Accept': '*/*',\n", " 'Accept-Encoding': 'gzip, deflate',\n", " 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',\n", " 'Connection': 'keep-alive',\n", " 'Cookie': 'td_cookie=2912605941',\n", " 'Host': 'rp.chezizhu.com',\n", " \"Referer\": \"http://rp.chezizhu.com/ReportServer?reportlet=/czz/order/order.cpt&__parameters__={%22_%22:%22\" + f\"{timestamp_ms}\" + \"%22,%22PINGJIA%22:[5b][5d],%22DISCOUNT_DESC%22:%22%22,%22B%22:%222021-05-01%22,%22LABELPLATE_NUMBER%22:%22%25E8%25BD%25A6%25E7%2589%258C%25E5%258F%25B7%22,%22LABELUSER_NAME%22:%22%25E5%25A7%2593%25E5%2590%258D%22,%22E%22:%222025-05-06%22,%22SERVICER%22:[5b][5d],%22CAR_NAME%22:%22%22,%22ORDER_SERVICE_TYPE%22:%22%22,%22order_number%22:%22\"\n", " + order_number +\n", " \"%22,%22USER_MOBILE%22:%22%22,%22LABELUSER_STATE%22:%22%25E6%2596%25B0%25E8%2580%2581%25E7%2594%25A8%25E6%2588%25B7%22,%22LABELCAR_NAME%22:%22%25E8%25BD%25A6%25E5%259E%258B%22,%22SERVICER_ID%22:%22683XGWqnyn66mE1oa8Gkzb%22,%22LABELORDER_SOURCE%22:%22%25E8%25AE%25A2%25E5%258D%2595%25E6%259D%25A5%25E6%25BA%2590%22,%22LABELE%22:%22%25E8%2587%25B3%22,%22LABELSERVER%22:%22%25E9%2597%25A8%25E5%25BA%2597%22,%22LABELGONGDAN_STATUS%22:%22%25E5%25B7%25A5%25E5%258D%2595%25E7%258A%25B6%25E6%2580%2581%22,%22LABELORDER_STATUS%22:%22%25E8%25AE%25A2%25E5%258D%2595%25E7%258A%25B6%25E6%2580%2581%22,%22ORDER_STATUS%22:[5b][5d],%22CMD%22:%22parameters_d%22,%22PAY_METHOD%22:%22%22,%22LABELUSER_MOBILE%22:%22%25E5%25AE%25A2%25E6%2588%25B7%25E7%2594%25B5%25E8%25AF%259D%22,%22LABELPINGJIA%22:%22%25E8%25AF%2584%25E4%25BB%25B7%25E7%258A%25B6%25E6%2580%2581%22,%22USER_STATE%22:[5b][5d],%22LABELRP_TYPE%22:%22%25E6%258A%25A5%25E8%25A1%25A8%25E7%25B1%25BB%25E5%259E%258B%22,%22LABELPAY_METHOD%22:%22%25E7%25BB%2593%25E7%25AE%2597%25E6%2596%25B9%25E5%25BC%258F%22,%22USER_NAME%22:%22%22,%22REPORTNAME%22:%22czz%252Forder%252Forder_detail_md.cpt%22,%22DISCOUNT_TYPE%22:%22%22,%22DATE_TYPE%22:%22%25E5%25AE%258C%25E6%2588%2590%25E6%2597%25A5%25E6%259C%259F%22,%22LABELDISCOUNT_DESC%22:%22%25E6%258A%2598%25E6%2589%25A3%25E5%258E%259F%25E5%259B%25A0%22,%22GONGDAN_STATUS%22:[5b][5d],%22__STREAMCLOSED__%22:%22%22,%22__pi__%22:%22true%22,%22CHANNEL%22:%22%22,%22DATABASE%22:%22chezizhu_14%22,%22ORDER_SOURCE%22:[5b][5d],%22LABELORDER_NUMBER%22:%22%25E8%25AE%25A2%25E5%258D%2595%25E5%258F%25B7%22,%22PLATE_NUMBER%22:%22%22,%22RP_TYPE%22:%22%25E9%25AB%2598%25E7%25BA%25A7%25E6%2590%259C%25E7%25B4%25A2%22}\",\n", " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36 Edg/135.0.0.0\",\n", " \"X-Requested-With\": \"XMLHttpRequest\"\n", " }\n", "\n", " # 使用带重试的请求函数\n", " res = make_request_with_retry(url, headers)\n", " # print(res.text)\n", "\n", " soup = BeautifulSoup(res.text, 'lxml')\n", "\n", " # ========== 1. 提取基本信息（单行） ==========\n", " base_info = {'单号': order_number} # 保留原始订单号\n", "\n", " for field in BASE_FIELDS:\n", " field_td = soup.find('td', string=f'{field}：')\n", " if field_td:\n", " value_td = field_td.find_next('td')\n", " base_info[field] = value_td.get_text(strip=True) if value_td else None\n", " else:\n", " base_info[field] = None\n", "\n", " # 更新基本信息DataFrame\n", " for col in base_info:\n", " if col not in base_info_df.columns:\n", " base_info_df[col] = None\n", " base_info_df.at[index, col] = base_info[col]\n", "\n", " # ========== 2. 提取消费项目（多行） ==========\n", " # 初始化 last_item 用于保存上一行数据\n", " last_item = {}\n", " \n", " # 定义字段顺序（从后往前）\n", " field_order = [\n", " ('合计', 10),\n", " ('工时', 9),\n", " ('产品小计', 8),\n", " ('单价', 7),\n", " ('单位', 6),\n", " ('规格', 5),\n", " ('产品型号', 3),\n", " ('产品名称', 2),\n", " ('服务项目', 1),\n", " ('套餐', 0),\n", " ]\n", " \n", " # 设置不继承的字段集合\n", " do_not_inherit_fields = {\n", " '产品小计', '单价',\n", " '单位', '规格', '产品型号', '产品名称'\n", " }\n", " \n", " consumption_header = soup.find(lambda tag: tag.name == 'td' and '消费项目' in tag.text)\n", " if consumption_header:\n", " table = consumption_header.find_parent('table')\n", " if table:\n", " rows = table.find_all('tr')[1:] # 跳过表头\n", " \n", " for row_idx, row in enumerate(rows, 1):\n", " cols = row.find_all('td')\n", " \n", " if len(cols) < 7:\n", " continue\n", " \n", " # 初始化当前 item\n", " item = {\n", " '单号': order_number,\n", " '行号': row_idx,\n", " }\n", " \n", " # 倒序填充字段\n", " for field_name, col_index in field_order:\n", " if col_index < len(cols):\n", " # 当前列存在，正常提取\n", " try:\n", " item[field_name] = cols[col_index].get_text(strip=True)\n", " except Exception:\n", " item[field_name] = ''\n", " else:\n", " # 列不存在，尝试从上一行继承（除非被禁止）\n", " if field_name in do_not_inherit_fields:\n", " item[field_name] = '' # 不允许继承，留空\n", " else:\n", " item[field_name] = last_item.get(field_name, '') # 可以继承\n", " \n", " # 更新 last_item\n", " last_item = item.copy()\n", " \n", " # 添加到 DataFrame\n", " service_items_df = pd.concat([\n", " service_items_df,\n", " pd.DataFrame([item])\n", " ], ignore_index=True)\n", " \n", " success = True\n", " break # 成功则跳出重试循环\n", "\n", "\n", " \n", "\n", " except Exception as e:\n", " if attempt == 9: # 最后一次尝试仍然失败\n", " print(f\"订单 {order_number} 处理失败，已达最大重试次数。错误: {str(e)}\")\n", " # 记录失败订单（可选）\n", " with open('failed_orders.txt', 'a') as f:\n", " f.write(f\"{order_number}\\n\")\n", " time.sleep(1) # 等待1秒后重试\n", "\n", " if not success:\n", " continue # 跳过处理失败的订单\n", " # break\n", "\n", "# ========== 3. 合并数据并保存 ==========\n", "# 方法1：保存为两个关联表（推荐）\n", "base_output = r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\订单基本信息.xlsx'\n", "items_output = r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\消费项目明细.xlsx'\n", "base_info_df.to_excel(base_output, index=False)\n", "service_items_df.to_excel(items_output, index=False)\n", "\n", "# 方法2：合并为一个宽表（每行重复基本信息）\n", "if not service_items_df.empty:\n", " merged_df = pd.merge(\n", " base_info_df,\n", " service_items_df,\n", " on='单号',\n", " how='left'\n", " )\n", " merged_output = r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\历史维修记录明细-15635606677.xlsx'\n", " merged_df.to_excel(merged_output, index=False)\n", "\n", "print(\"\\n处理完成！\")\n", "print(f\"- 基本信息保存至: {base_output}\")\n", "print(f\"- 消费项目保存至: {items_output}\")\n", "if not service_items_df.empty:\n", " print(f\"- 合并数据保存至: {merged_output}\") # 输出：['57435']\n", " " ], "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "处理订单: 0%| | 0/7946 [00:00, 'Connection to rp.chezizhu.com timed out. (connect timeout=10)'))\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "处理订单: 36%|███▌ | 2851/7946 [15:04<36:00, 2.36it/s] " ] }, { "name": "stdout", "output_type": "stream", "text": [ "请求失败，第 1 次重试... 错误: HTTPConnectionPool(host='rp.chezizhu.com', port=80): Max retries exceeded with url: /ReportServer?_=1747275543553&__boxModel__=true&op=page_content&sessionID=55535&pn=1&__fit__=false (Caused by ConnectTimeoutError(, 'Connection to rp.chezizhu.com timed out. (connect timeout=10)'))\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "处理订单: 48%|████▊ | 3824/7946 [22:42<34:53, 1.97it/s] " ] }, { "name": "stdout", "output_type": "stream", "text": [ "请求失败，第 1 次重试... 错误: HTTPConnectionPool(host='rp.chezizhu.com', port=80): Max retries exceeded with url: /ReportServer?_=1747276001354&__boxModel__=true&op=page_content&sessionID=78866&pn=1&__fit__=false (Caused by ConnectTimeoutError(, 'Connection to rp.chezizhu.com timed out. (connect timeout=10)'))\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "处理订单: 95%|█████████▌| 7578/7946 [1:03:49<04:32, 1.35it/s] " ] }, { "name": "stdout", "output_type": "stream", "text": [ "请求失败，第 1 次重试... 错误: HTTPConnectionPool(host='rp.chezizhu.com', port=80): Max retries exceeded with url: /ReportServer?_=1747278468348&__boxModel__=true&op=page_content&sessionID=24705&pn=1&__fit__=false (Caused by ConnectTimeoutError(, 'Connection to rp.chezizhu.com timed out. (connect timeout=10)'))\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "处理订单: 100%|██████████| 7946/7946 [1:08:39<00:00, 1.93it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "处理完成！\n", "- 基本信息保存至: D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\订单基本信息.xlsx\n", "- 消费项目保存至: D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\消费项目明细.xlsx\n", "- 合并数据保存至: D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\历史维修记录明细-15635606677.xlsx\n" ] } ], "execution_count": 4 }, { "metadata": { "ExecuteTime": { "end_time": "2025-05-09T02:12:23.607378Z", "start_time": "2025-05-09T02:12:23.588256Z" } }, "cell_type": "code", "source": [ "# ========== 3. 合并数据并保存 ==========\n", "# 方法1：保存为两个关联表（推荐）\n", "base_output = r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\订单基本信息.xlsx'\n", "items_output = r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\消费项目明细.xlsx'\n", "base_info_df.to_excel(base_output, index=False)\n", "service_items_df.to_excel(items_output, index=False)\n", "\n", "# 方法2：合并为一个宽表（每行重复基本信息）\n", "if not service_items_df.empty:\n", " merged_df = pd.merge(\n", " base_info_df,\n", " service_items_df,\n", " on='单号',\n", " how='left'\n", " )\n", " merged_output = r'D:\\Idea Project\\F6+宜搭+其它(1)\\new\\文件输出\\历史维修记录明细-古交腾飞路店13593189858.xlsx'\n", " merged_df.to_excel(merged_output, index=False)\n", "\n", "print(\"\\n处理完成！\")\n", "print(f\"- 基本信息保存至: {base_output}\")\n", "print(f\"- 消费项目保存至: {items_output}\")\n", "if not service_items_df.empty:\n", " print(f\"- 合并数据保存至: {merged_output}\") # 输出：['57435']\n", " " ], "id": "2dad90815fd16898", "outputs": [ { "ename": "NameError", "evalue": "name 'base_info_df' is not defined", "output_type": "error", "traceback": [ "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", "\u001B[1;31mNameError\u001B[0m Traceback (most recent call last)", "Cell \u001B[1;32mIn[3], line 5\u001B[0m\n\u001B[0;32m 3\u001B[0m base_output \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mr\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mD:\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mIdea Project\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mF6+宜搭+其它(1)\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mnew\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m文件输出\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m订单基本信息.xlsx\u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[0;32m 4\u001B[0m items_output \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mr\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mD:\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mIdea Project\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mF6+宜搭+其它(1)\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124mnew\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m文件输出\u001B[39m\u001B[38;5;124m\\\u001B[39m\u001B[38;5;124m消费项目明细.xlsx\u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[1;32m----> 5\u001B[0m base_info_df\u001B[38;5;241m.\u001B[39mto_excel(base_output, index\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m)\n\u001B[0;32m 6\u001B[0m service_items_df\u001B[38;5;241m.\u001B[39mto_excel(items_output, index\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m)\n\u001B[0;32m 8\u001B[0m \u001B[38;5;66;03m# 方法2：合并为一个宽表（每行重复基本信息）\u001B[39;00m\n", "\u001B[1;31mNameError\u001B[0m: name 'base_info_df' is not defined" ] } ], "execution_count": 3 } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }