Python–爬取天气网站天气数据并进行数据分析

目的：从天气网站中爬取数据，生成excel表格，里面存储南昌市近十一年的天气情况，并对爬取产生的数据进行数据分析。

第一步：编写代码进行数据爬取

首先，导入 requests 模块，并调用函数 requests.get(),从天气的网站上面获
取该函数所需要的各种参数，然后对里面的参数进行相应的赋值
其次，使用 pandas.concat().to_excel 函数，将爬取的结果保存到表格中，并
将其命名后保存到和代码文件相同的文件位置上

代码如下：

import pandasimport requestsurl = 'https://tianqi.2345.com/Pc/GetHistory'params = {'areaInfo[areaId]': 58606, 'areaInfo[areaType]': 2,'date[year]': 2011,'date[month]': 1}headers = {'user-agent': '''Mozilla/5.0 (Windows NT 10.0; Win64; x64)AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36Edg/107.0.1418.62'''}def craw_table(year,month):params = {'areaInfo[areaId]': 58606, 'areaInfo[areaType]': 2,'date[year]': year, 'date[month]': month}pr = requests.get(url, headers=headers, params=params)data = pr.json()['data']df = pandas.read_html(data)[0]return dfdf_list=[]for year in range(2011,2022):for month in range(1,13):print('爬取',year,month)df = craw_table(year, month)df_list.append(df)#在py文件的文件夹中保存一个表格pandas.concat(df_list).to_excel('南昌近十一年天气统计.xlsx',index=False)

结果展示：生成表格

表格内部数据形式：

第二步：根据表格数据进行数据分析

代码展示：

import tkinter as tkimport pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport warningswarnings.filterwarnings('ignore')#确保正确输出中文和负数plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']# 使用tkinter模板root = tk.Tk()root.title('南昌近十一年天气信息查询界面')root.geometry('700x700')#禁止修改窗口的大小root.resizable(False, False)# 设置标签label1 = tk.Label(root, text='请选择想要获取何种的数据：', font=('楷书', 15))label1.place(x=45, y=15)def task_1():# 跳转到一个新的内容显示界面root1 = tk.Tk()root1.title('特定时间的天气查询')root1.geometry('700x700')root1.resizable(False, False)# 进行查询结果的展示label2 = tk.Label(root1, text='请输入日期，以 - 分隔：', font=('楷书', 15), background='white')label2.place(x=45, y=15)# 创建输入文本框text = tk.Text(root1, font=('宋体', 15))text.place(x=300, y=15, width=160, height=30)# 设置几个小按钮，用来点击查询和清空内容# 设置查询函数def get_data():# 获取文本，并进行缺失值的填充data1 = (pd.read_excel('南昌近十年天气统计.xlsx')).fillna('该年份没有统计该数据')# 获取文本内容str = (text.get("0.0", "end"))[0:10]for i in range(0, 4005):if str == data1.loc[i, '日期'][0:10]:put_data(data1.loc[i])def put_data(data):# 输出文本内容label2 = tk.Label(root1, text='查询结果为：', font=('楷书', 15), background='white')label2.place(x=45, y=150)text1 = tk.Text(root1, font=('宋体', 15))text1.place(x=200, y=150, width=320, height=250)text1.insert(index=tk.END, chars='时间:' + data[0])text1.insert(index=tk.END, chars='\n\n最高温:' + data[1] + 'C')text1.insert(index=tk.END, chars='\n\n最低温:' + data[2] + 'C')text1.insert(index=tk.END, chars='\n\n天气:' + data[3])text1.insert(index=tk.END, chars='\n\n风力风向:' + data[4])text1.insert(index=tk.END, chars='\n\n空气质量指数:' + data[5])# 设置查询按钮button1 = tk.Button(root1, text="查询", command=get_data, font=('楷书', 15))button1.place(x=200, y=60, width=50, height=50)# 设置清空函数def delete_text():text.delete(0.0, tk.END)# 设置清空按钮button2 = tk.Button(root1, text="清空", command=delete_text, font=('楷书', 15))button2.place(x=330, y=60, width=50, height=50)# 设置退出按钮button3 = tk.Button(root1, text="退出", command=root1.destroy, font=('楷书', 15))button3.place(x=450, y=60, width=50, height=50)# 显示界面root1.mainloop()button1 = tk.Button(root, text="输入日期，显示当天天气的所有被记录的信息", command=task_1, font=('楷书', 15),background='white')button1.place(x=100, y=50, width=500, height=50)def task_2():plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']data1 = pd.read_excel('南昌近十年天气统计.xlsx').fillna('该年份没有统计该数据')root1 = tk.Tk()root1.title('某个年份(2011-2021)中的各个月份的最高气温和最低气温')root1.geometry('700x700')root1.resizable(False, False)# 进行查询结果的展示label2 = tk.Label(root1, text='请输入年份(2011-2021)：', font=('楷书', 15), background='white')label2.place(x=200, y=15)# 创建输入文本框text = tk.Text(root1, font=('宋体', 15))text.place(x=425, y=15, width=160, height=30)# 进行数据的处理def get_data():list1 = []list2 = []list_months = ['-01', '-02', '-03', '-04', '-05', '-06', '-07', '-08', '-09', '-10', '-11', '-12']# 寻找每一个月份的最高温度和最低温度for i in list_months:max = -100min = 200# 获取文本str = (text.get("0.0", "end"))[0:4] + ifor j in range(0, 4005):if str in data1.loc[j, '日期']:# 获取字符串中的温度，并转化为数字,进行比较temp1 = int(data1.loc[j, '最高温'][0:len(data1.loc[j, '最高温']) - 1])#更新最高温if max  temp2:min = temp2#最高温统计记录list1.append(max)#最低温统计记录list2.append(min)# 进行子图的绘制x = np.array(['一月', '二月', '三月', '四月', '五月', '六月', '七月', '八月', '九月', '十月', '十一月', '十二月'])x1 = [0,1,2,3,4,5,6,7,8,9,10,11]# 进行折线图的绘制# 设置分辨率plt.figure(dpi=800)# 线的颜色，线的样式，拐点的标志，标签plt.plot(x, list1, color='red', linestyle='--', marker='o', label='最高气温')plt.plot(x, list2, color='green', linestyle='--', marker='o', label='最低气温')#给每一个拐点都进行数据描述for i in range(0,len(x1)):plt.text(x = x1[i] - 0.3,y = list1[i] - 3,s = list1[i],fontdict = dict(fontsize = 12,color = 'green'),weight = 'bold')plt.text(x = x1[i] - 0.3,y = list2[i] + 2,s = list2[i],fontdict = dict(fontsize = 12,color = 'red'),weight = 'bold')# 展示图像plt.title((text.get("0.0", "end"))[0:4] + '年的每月最高气温和最低气温')plt.xlabel('月份')plt.ylabel('温度')plt.legend()plt.show()# 设置查询按钮button1 = tk.Button(root1, text="查询", command=get_data, font=('楷书', 15))button1.place(x=200, y=60, width=50, height=50)# 设置清空函数def delete_text():text.delete(0.0, tk.END)# 设置清空按钮button2 = tk.Button(root1, text="清空", command=delete_text, font=('楷书', 15))button2.place(x=330, y=60, width=50, height=50)# 设置退出按钮button3 = tk.Button(root1, text="退出", command=root1.destroy, font=('楷书', 15))button3.place(x=450, y=60, width=50, height=50)# 显示界面root1.mainloop()button2 = tk.Button(root, text="统计某个年份的各个月最高气温和最低气温", command=task_2, font=('楷书', 15),background='white')button2.place(x=100, y=120, width=500, height=50)def task_3():plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']data1 = pd.read_excel('南昌近十年天气统计.xlsx').fillna('该年份没有统计该数据')root1 = tk.Tk()root1.title('某个年份中的各个月份的平均气温')root1.geometry('700x700')root1.resizable(False, False)# 进行查询结果的展示label2 = tk.Label(root1, text='请输入年份(2011-2021)：', font=('楷书', 15), background='white')label2.place(x=200, y=15)# 创建输入文本框text = tk.Text(root1, font=('宋体', 15))text.place(x=425, y=15, width=160, height=30)# 进行数据的处理def get_data():list1 = []list2 = []list_months = ['-01', '-02', '-03', '-04', '-05', '-06', '-07', '-08', '-09', '-10', '-11', '-12']# 寻找每一个月份的最高温度和最低温度for i in list_months:# 获取文本str = (text.get("0.0", "end"))[0:4] + ifor j in range(0, 4005):if str in data1.loc[j, '日期']:# 获取字符串中的温度，并转化为数字,进行比较temp1 = int(data1.loc[j, '最高温'][0:len(data1.loc[j, '最高温']) - 1])temp2 = int(data1.loc[j, '最低温'][0:len(data1.loc[j, '最低温']) - 1])# 保存每天的平均气温list1.append((temp1 + temp2) // 2)# 计算并存储这一个月的平均气温list2.append(round(np.mean(list1),2))# 进行子图的绘制x = np.array(['一月', '二月', '三月', '四月', '五月', '六月', '七月', '八月', '九月', '十月', '十一月', '十二月'])y = np.array(list2)# 进行折线图的绘制# 设置分辨率plt.figure(dpi=800)# 线的颜色，线的样式，拐点的标志，标签plt.yticks([i for i in range(6,25,2)])plt.ylim(4,24)plt.plot(x, y, color='red', linestyle='--', marker='s', label='每个月平均气温')#给每一个拐点都进行数据描述x1 = [0,1,2,3,4,5,6,7,8,9,10,11]for i in range(0,len(x)):plt.text(x = x1[i] - 0.7,y = list2[i] - 1.5,s = list2[i],fontdict = dict(fontsize = 12,color = 'green'),weight = 'bold')# 展示图像plt.title((text.get("0.0", "end"))[0:4] + '年的每月平均气温')plt.xlabel('月份')plt.ylabel('温度')plt.legend()plt.show()# 设置查询按钮button1 = tk.Button(root1, text="查询", command=get_data, font=('楷书', 15))button1.place(x=200, y=60, width=50, height=50)# 设置清空函数def delete_text():text.delete(0.0, tk.END)# 设置清空按钮button2 = tk.Button(root1, text="清空", command=delete_text, font=('楷书', 15))button2.place(x=330, y=60, width=50, height=50)# 设置退出按钮button3 = tk.Button(root1, text="退出", command=root1.destroy, font=('楷书', 15))button3.place(x=450, y=60, width=50, height=50)# 显示界面root1.mainloop()button3 = tk.Button(root, text="统计某个年份的各个月份的平均气温", command=task_3, font=('楷书', 15),background='white')button3.place(x=100, y=190, width=500, height=50)def task_4():# 进行数据的读取data1 = (pd.read_excel('南昌近十年天气统计.xlsx')).fillna('该年份没有统计该数据')# 创建列表，用于存储数据list1 = [0, 354, 719, 1084, 1448, 1813, 2179, 2554, 2909, 3274, 3640, 4005]list2 = []list3 = []list4 = []list5 = []list6 = ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021']for i in range(0, len(list1) - 1):for j in range(list1[i], list1[i + 1]):# 存储高温数据和低温数据list2.append(int(data1.loc[j, '最高温'][0:len(data1.loc[j, '最高温']) - 1]))list3.append(int(data1.loc[j, '最低温'][0:len(data1.loc[j, '最低温']) - 1]))# 存储两个平均值数据list4.append(np.mean(list2))list5.append(np.mean(list3))list2.clear()list3.clear()x = np.array(list6)y1 = np.array(list4)y2 = np.array(list5)# 进行折线图的绘制# 设置分辨率plt.figure(dpi=800)# 线的颜色，线的样式，拐点的标志，标签plt.plot(x, y1, color='red', linestyle='--', marker='s', label='平均最高气温')plt.plot(x, y2, color='green', linestyle='--', marker='s', label='平均最低气温')#给每一个拐点都进行数据描述y1 = y1.tolist()y2 = y2.tolist()x1 = [0,1,2,3,4,5,6,7,8,9,10]for i in range(0,len(x1)):plt.text(x = x1[i] - 0.3,y = y1[i] - 0.8,s = round(y1[i],1),fontdict = dict(fontsize = 12,color = 'green'),weight = 'bold')plt.text(x = x1[i] - 0.3,y = y2[i] + 0.3,s = round(y2[i],1),fontdict = dict(fontsize = 12,color = 'red'),weight = 'bold')# 展示图像plt.title('每一年的平均最高气温和平均最低气温')plt.xlabel('年份')plt.ylabel('温度')plt.legend()plt.show()button4 = tk.Button(root, text="统计每一年的平均最高气温和平均最低气温", command=task_4, font=('楷书', 15),background='white')button4.place(x=100, y=260, width=500, height=50)def task_5():data1 = pd.read_excel('南昌近十年天气统计.xlsx').fillna('暂无数据')# 创建数组保存数据，用于作图list3 = []list4 = []list5 = []# 统计每一年的最高温，最低温def get_temp(a, b, target):max = 0min = 0for i in range(a, b):# 最高温判断temp = data1.loc[i, '最高温']temp = int(temp[0:len(temp) - 1])if max  temp1:min = temp1list1 = ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021']# 保存数据list3.append(list1[target])list4.append(max)list5.append(min)list1 = [0, 354, 719, 1084, 1448, 1813, 2179, 2554, 2909, 3274, 3640, 4005]for i in range(0, len(list1) - 1):get_temp(list1[i], list1[i + 1], i)# 进行子图的绘制# 设置分辨率plt.figure(dpi=800)x = np.array(list3)y1 = np.array(list4)y2 = np.array(list5)# 进行折线图的绘制# 线的颜色，线的样式，拐点的标志，标签plt.plot(x, y1, color='red', linestyle='--', marker='s', label='最高气温')plt.plot(x, y2, color='green', linestyle='--', marker='s', label='最低气温')plt.ylim(-10,50)x1 = [0,1,2,3,4,5,6,7,8,9,10]for i in range(0,len(x1)):plt.text(x = x1[i],y = y1[i] + 0.7,s = y1[i],fontdict = dict(fontsize = 12,color = 'green'),weight = 'bold')plt.text(x = x1[i],y = y2[i] + 0.7,s = y2[i],fontdict = dict(fontsize = 12,color = 'red'),weight = 'bold')# 展示图像plt.title('每一年的最高气温和最低气温')plt.xlabel('年份')plt.ylabel('温度')plt.legend()plt.show()button5 = tk.Button(root, text="统计每一年的最高气温和最低气温", command=task_5, font=('楷书', 15),background='white')button5.place(x=100, y=330, width=500, height=50)def task_6():plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']data1 = pd.read_excel('南昌近十年天气统计.xlsx').fillna('该年份没有统计该数据')root1 = tk.Tk()root1.title('统计某个年份(2011-2021)中各分段空气质量分数的天数')root1.geometry('700x700')root1.resizable(False, False)# 进行查询结果的展示label2 = tk.Label(root1, text='请输入年份(2011-2021)：', font=('楷书', 15), background='white')label2.place(x=200, y=15)# 创建输入文本框text = tk.Text(root1, font=('宋体', 15))text.place(x=425, y=15, width=160, height=30)#进行子图的绘制def put_data(str, count1, count2, count3, count4, count5):plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']#设置分辨率plt.figure(dpi=800)nums = [count1, count2, count3, count4, count5]x = range(0, len(nums))x_ticks = ['0-50(优)', '51-100(良)', '101-150(轻度)', '151-200(中度)', '201-300(重度)']plt.xticks(x, x_ticks)plt.bar(x, nums)x1 = [0,1,2,3,4]for i in range(0,len(x1)):plt.text(x = x1[i] - 0.2,y = nums[i] + 0.7,s = nums[i],fontdict = dict(fontsize = 12,color = 'green'),weight = 'bold')plt.xlabel('空气质量分数')plt.ylabel('天数')plt.title(str + '年中各分段空气质量分数的天数统计')plt.show()# 获取年份def get_data():str = (text.get("0.0", "end"))[0:4]count1 = count2 = count3 = count4 = count5 = 0# 判断年份for i in range(0, 4005):# 判断分数范围if str in data1.loc[i, '日期']:if len(data1.loc[i, '空气质量指数']) > 5:if 101 <= int(data1.loc[i, '空气质量指数'][0:3]) <= 150:count3 += 1if 151 <= int(data1.loc[i, '空气质量指数'][0:3]) <= 200:count4 += 1if 201 <= int(data1.loc[i, '空气质量指数'][0:3]) <= 300:count5 += 1elif 0 <= int(data1.loc[i, '空气质量指数'][0:3]) <= 50:count1 += 1else:count2 += 1put_data(str, count1, count2, count3, count4, count5)# 设置查询按钮button1 = tk.Button(root1, text="查询", command=get_data, font=('楷书', 15))button1.place(x=200, y=60, width=50, height=50)# 设置清空函数def delete_text():text.delete(0.0, tk.END)# 设置清空按钮button2 = tk.Button(root1, text="清空", command=delete_text, font=('楷书', 15))button2.place(x=330, y=60, width=50, height=50)# 设置退出按钮button3 = tk.Button(root1, text="退出", command=root1.destroy, font=('楷书', 15))button3.place(x=450, y=60, width=50, height=50)# 显示界面root1.mainloop()button6 = tk.Button(root, text="统计某个年份中各分段空气质量分数的天数", command=task_6, font=('楷书', 15),background='white')button6.place(x=100, y=400, width=500, height=50)def task_7():plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']data1 = pd.read_excel('南昌近十年天气统计.xlsx').fillna('该年份没有统计该数据')root1 = tk.Tk()root1.title('某一个年份的空气质量各类等级占比')root1.geometry('700x700')root1.resizable(False, False)# 进行查询结果的展示label2 = tk.Label(root1, text='请输入年份(2011-2021)：', font=('楷书', 15), background='white')label2.place(x=200, y=15)# 创建输入文本框text = tk.Text(root1, font=('宋体', 15))text.place(x=425, y=15, width=160, height=30)# 显示数据结果def put_data(str, count1, count2, count3, count4, count5):# 判断天数是否零if count1 == 0:count4 = 1if count2 == 0:count2 = 1plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']# 设置分辨率plt.figure(dpi=800)labels = ['中度', '优', '良', '重度', '轻度']hours = [count2, count5, count4, count3, count1]colors = ['c', 'm', 'r', 'green', 'y']plt.pie(x=hours, labels=labels, colors=colors, shadow=False, autopct='%.1f%%',explode=(0.1, 0, 0, 0.2, 0.2),labeldistance=1.0, radius=1.2)plt.title(str + '年空气质量各类等级占比')plt.show()# 获取年份def get_data():str = (text.get("0.0", "end"))[0:4]count1 = count2 = count3 = count4 = count5 = 0for i in range(0, 4005):if str in data1.loc[i, '日期']:if '轻度' in data1.loc[i, '空气质量指数']:count1 += 1elif '中度' in data1.loc[i, '空气质量指数']:count2 += 1elif '重度' in data1.loc[i, '空气质量指数']:count3 += 1elif '良' in data1.loc[i, '空气质量指数']:count4 += 1elif '优' in data1.loc[i, '空气质量指数']:count5 += 1put_data(str, count1, count2, count3, count4, count5)# 设置查询按钮button1 = tk.Button(root1, text="查询", command=get_data, font=('楷书', 15))button1.place(x=200, y=60, width=50, height=50)# 设置清空函数def delete_text():text.delete(0.0, tk.END)# 设置清空按钮button2 = tk.Button(root1, text="清空", command=delete_text, font=('楷书', 15))button2.place(x=330, y=60, width=50, height=50)# 设置退出按钮button3 = tk.Button(root1, text="退出", command=root1.destroy, font=('楷书', 15))button3.place(x=450, y=60, width=50, height=50)# 显示界面root1.mainloop()button7 = tk.Button(root, text="统计某个年份中的空气质量各等级占比", command=task_7, font=('楷书', 15),background='white')button7.place(x=100, y=470, width=500, height=50)def task_8():plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']data1 = pd.read_excel('南昌近十年天气统计.xlsx').fillna('该年份没有统计该数据')root1 = tk.Tk()root1.title('某一个年份的各类天气占比')root1.geometry('700x700')root1.resizable(False, False)# 进行查询结果的展示label2 = tk.Label(root1, text='请输入年份(2011-2021)：', font=('楷书', 15), background='white')label2.place(x=200, y=15)# 创建输入文本框text = tk.Text(root1, font=('宋体', 15))text.place(x=425, y=15, width=160, height=30)def put_data(str, count1, count2, count3, count4, count5):# 判断天数是否零if count1 == 0: count1 = 1if count2 == 0: count2 = 1plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']# 设置分辨率plt.figure(dpi=800)labels = ['晴天', '多云', '雨天', '阴天', '雪天']hours = [count1, count2, count3, count4, count5]colors = ['c', 'm', 'r', 'green', 'y']plt.pie(x=hours, labels=labels, colors=colors, shadow=False, autopct='%.1f%%',explode=(0.1, 0.1, 0.1, 0.1, 0.1),labeldistance=1.2, radius=1.2)plt.title(str + '年空气质量各类等级占比')plt.show()# 获取年份def get_data():str = (text.get("0.0", "end"))[0:4]count1 = count2 = count3 = count4 = count5 = 0for i in range(0, 4005):if str in data1.loc[i, '日期']:if '晴' in data1.loc[i, '天气']:count1 += 1if '多云' in data1.loc[i, '天气']:count2 += 1if '雨' in data1.loc[i, '天气']:count3 += 1if '阴' in data1.loc[i, '天气']:count4 += 1if '雪' in data1.loc[i, '天气']:count5 += 1put_data(str, count1, count2, count3, count4, count5)# 设置查询按钮button1 = tk.Button(root1, text="查询", command=get_data, font=('楷书', 15))button1.place(x=200, y=60, width=50, height=50)# 设置清空函数def delete_text():text.delete(0.0, tk.END)# 设置清空按钮button2 = tk.Button(root1, text="清空", command=delete_text, font=('楷书', 15))button2.place(x=330, y=60, width=50, height=50)# 设置退出按钮button3 = tk.Button(root1, text="退出", command=root1.destroy, font=('楷书', 15))button3.place(x=450, y=60, width=50, height=50)# 显示界面root1.mainloop()button8 = tk.Button(root, text="统计某个年份中的各类天气占比", command=task_8, font=('楷书', 15),background='white')button8.place(x=100, y=540, width=500, height=50)def task_9():plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']data1 = pd.read_excel('南昌近十年天气统计.xlsx').fillna('该年份没有统计该数据')root1 = tk.Tk()root1.title('某一个年份的各类风向占比')root1.geometry('700x700')root1.resizable(False, False)# 进行查询结果的展示label2 = tk.Label(root1, text='请输入年份(2011-2021)：', font=('楷书', 15), background='white')label2.place(x=200, y=15)# 创建输入文本框text = tk.Text(root1, font=('宋体', 15))text.place(x=425, y=15, width=160, height=30)# 输出数据def put_data(str, count1, count2, count3, count4, count5):# 判断天数是否零if count1 == 0:count1 = 1if count2 == 0:count2 = 1plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']# 设置分辨率plt.figure(dpi=800)labels = ['东风', '西风', '南风', '北风', '无持续风向']hours = [count2, count3, count4, count5, count1]colors = ['c', 'm', 'r', 'green', 'y']plt.pie(x=hours, labels=labels, colors=colors, shadow=False, autopct='%.1f%%',explode=(0.1, 0.1, 0.1, 0.1, 0.1),labeldistance=1.2, radius=1.2)plt.title(str + '年空气质量各类等级占比')plt.show()# 获取年份def get_data():str1 = (text.get("0.0", "end"))[0:4]count1 = count2 = count3 = count4 = count5 = 0for i in range(0, 4005):if str1 in data1.loc[i, '日期']:if '无持续风向' in data1.loc[i, '风力风向']:count1 += 1if '东' in data1.loc[i, '风力风向']:count2 += 1if '西' in data1.loc[i, '风力风向']:count3 += 1if '南' in data1.loc[i, '风力风向']:count4 += 1if '北' in data1.loc[i, '风力风向']:count5 += 1put_data(str1, count1, count2, count3, count4, count5)# 设置查询按钮button1 = tk.Button(root1, text="查询", command=get_data, font=('楷书', 15))button1.place(x=200, y=60, width=50, height=50)# 设置清空函数def delete_text():text.delete(0.0, tk.END)# 设置清空按钮button2 = tk.Button(root1, text="清空", command=delete_text, font=('楷书', 15))button2.place(x=330, y=60, width=50, height=50)# 设置退出按钮button3 = tk.Button(root1, text="退出", command=root1.destroy, font=('楷书', 15))button3.place(x=450, y=60, width=50, height=50)# 显示界面root1.mainloop()button9 = tk.Button(root, text="统计某个年份中的各类风向占比", command=task_9, font=('楷书', 15),background='white')button9.place(x=100, y=610, width=500, height=50)# 进行总菜单界面的展示root.mainloop()

运行结果展示：