Purpose: Crawl data from the weather website, generate an excel table, which stores the weather conditions of Nanchang City in the past eleven years, and perform data analysis on the data generated by the crawl.
Step 1: Write code to crawl data
First, import the requests module and call the function requests.get() to obtain the
various parameters required by the function from the weather website, and then assign corresponding values to the parameters.
Secondly, use pandas.concat().to_excel Function, save the crawled results into a table,
name it and save it to the same file location as the code file
code show as below:
import pandas
import requests
url = '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/537.36
Edg/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 df
df_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)Result display: generate table
Table internal data format:
Step 2: Conduct data analysis based on tabular data
Code display:
import tkinter as tk
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import warnings
warnings.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 = -100
min = 200
# 获取文本
str = (text.get("0.0", "end"))[0:4] + i
for 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 < temp1:
max = temp1
# 获取字符串中的温度，并转化为数字，进行比较
temp2 = int(data1.loc[j, '最低温'][0:len(data1.loc[j, '最低温']) - 1])
#更新最低温
if min > 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] + i
for 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 = 0
min = 0
for 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 < temp:
max = temp
# 最低温判断
temp1 = data1.loc[i, '最低温']
temp1 = int(temp1[0:len(temp1) - 1])
if min > temp1:
min = temp1
list1 = ['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 += 1
if 151 <= int(data1.loc[i, '空气质量指数'][0:3]) <= 200:
count4 += 1
if 201 <= int(data1.loc[i, '空气质量指数'][0:3]) <= 300:
count5 += 1
elif 0 <= int(data1.loc[i, '空气质量指数'][0:3]) <= 50:
count1 += 1
else:
count2 += 1
put_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 = 1
if count2 == 0:
count2 = 1
plt.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 = 0
for 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 += 1
elif '中度' in data1.loc[i, '空气质量指数']:
count2 += 1
elif '重度' in data1.loc[i, '空气质量指数']:
count3 += 1
elif '良' in data1.loc[i, '空气质量指数']:
count4 += 1
elif '优' in data1.loc[i, '空气质量指数']:
count5 += 1
put_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 = 1
if count2 == 0: count2 = 1
plt.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 = 0
for i in range(0, 4005):
if str in data1.loc[i, '日期']:
if '晴' in data1.loc[i, '天气']:
count1 += 1
if '多云' in data1.loc[i, '天气']:
count2 += 1
if '雨' in data1.loc[i, '天气']:
count3 += 1
if '阴' in data1.loc[i, '天气']:
count4 += 1
if '雪' in data1.loc[i, '天气']:
count5 += 1
put_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 = 1
if count2 == 0:
count2 = 1
plt.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 = 0
for 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 += 1
if '东' in data1.loc[i, '风力风向']:
count2 += 1
if '西' in data1.loc[i, '风力风向']:
count3 += 1
if '南' in data1.loc[i, '风力风向']:
count4 += 1
if '北' in data1.loc[i, '风力风向']:
count5 += 1
put_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()Running result display:
Select a feature, click it, and analyze the data
If you want to save the generated image, you can add your own code to save it.