From 464d3721244b8e61850963881fe3778e4d1eba8a Mon Sep 17 00:00:00 2001
From: hnu202401010411 <1135844023@qq.com>
Date: Tue, 3 Dec 2024 21:01:49 +0800
Subject: [PATCH] ADD file via upload

---
 replite.py | 68 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 replite.py

diff --git a/replite.py b/replite.py
new file mode 100644
index 0000000..3ea1c1b
--- /dev/null
+++ b/replite.py
@@ -0,0 +1,68 @@
+# 首先我们需要导入 requests 库
+import requests
+# 若是本地没有安装 requests 可以通过“pip install requests”来安装
+
+# 设置请求头信息
+headers = {
+    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36"
+}
+
+# 导入 re 模快
+import re
+
+# 存储内容
+message = []
+# 总共16个页面的数据
+for page in range(20):
+    # 组装url
+    if page == 0:
+        url = "https://top.chinaz.com/gongsi/index_zhuce.html"
+    else:
+        url = "https://top.chinaz.com/gongsi/index_zhuce_{}.html".format(page + 1)
+    # 使用reqeusts模快发起 GET 请求
+    response = requests.get(url, headers=headers)
+    html = response.text
+    # 使用 findall 函数来获取数据
+    # 公司名
+    company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
+    # 注册资金
+    signMoney = re.findall('<div class="CoDate"><em>(.+?)</em>注册资本</div>', html)
+     
+    pageOne = list(zip(company,signMoney))
+    # 合并列表
+    message.extend(pageOne)
+
+# 导入python中的内置模块csv
+import csv
+with open("content.csv", "w") as f:
+    w = csv.writer(f)
+    w.writerows(message)
+
+import pandas as pd
+
+# 读取数据
+df = pd.read_csv("content.csv", names=["company", "signMoney"],encoding='gbk')
+
+df1 = df.drop(0).head(20)
+
+import matplotlib.pyplot as plt
+
+# 在spyter中直接展示图像
+%matplotlib inline
+# 设置中文显示
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (30, 5)  # 设置figure_size尺寸
+
+# x轴坐标
+x = df1["company"].values
+# y轴坐标
+y = df1["signMoney"].values
+# 绘制柱状图
+plt.bar(x, y)
+# 设置x轴名称
+plt.xlabel("公司",fontsize=14)
+# 设置x轴名称
+plt.ylabel("注册资本",fontsize=14)
+plt.show()
+
+