莫言科技查看:0 回复:1 评论:0 创建时间:2022-01-20T15:14:21用户:莫言科技查看:0 回复:1 评论:0 创建时间:2022-01-20T15:14:21
【作品展示】
【作品介绍】
在第88行，文件名无法做到更新。
【作品源代码】
import time as t
print("函数定义中。。。")
t.sleep(1)
def js():
# 库导入
import time as t
# 主程序
i = 0
file = open("log.txt", 'a')
file.write('jishiqi ')
file.write(t.ctime())
file.close()
shf = int(input("是定时还是计时,定时为 1，计时为 2 "))
if shf == 1:
zx = int(input("定时多少秒?"))
n = 0
while n == zx:
print("剩余", zx - n, '秒，当前时间', t.ctime())
t.sleep(1)
n = n+1
elif shf == 2:
i = 0
while i <= 9999999999999999999999999999999999999999999999999999999999999999999999999999:
i = i+1
print(round((i / 60), 0), '分', i, '秒', '，当前时间', t.ctime())
t.sleep(1)
else:
print("无法理解")
def yian(lx):
i = 0
while i == lx:
print("")
print("导入库")
import random
import time
# pillow 包的使用
from PIL import Image, ImageDraw, ImageFont, ImageFilter
# Image 负责处理图片
# ImageDraw 负责处理画笔
# ImageFont 负责处理文字
# ImageFilter负责处理路径
img = Image.new('RGB', (300, 50), (255, 255, 255)) # 建立一个图片
'''
RGB:表示采用RGB方式新建的图片
第二个：表示图片的宽度和高度
第三个：表示具体图片的颜色
'''
# 创建画笔
draw = ImageDraw.Draw(img)
print("绘制线")
for i in range(random.randint(1, 10)):
draw.line(
[
(random.randint(1, 150), random.randint(1, 50)),
(random.randint(1, 150), random.randint(1, 50))],
fill=(0, 0, 0)
)
print("绘制点")
for i in range(1000):
draw.point([random.randint(1, 150),random.randint(1, 150)],fill=(0, 0, 0))
fontlist = list(
'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ')
c_char = ' '.join(random.sample(fontlist, 8)) # 在指定的列表中随机取出指定个数的元素
# 绘制字体 需要先定制一下字体
font = ImageFont.truetype('simsun.ttc', 30)
draw.text((5, 5), c_char, font=font, fill='green')
'''
第一个：代表文字的位置，距离上和左的位置
第二个：代表文字的内容
第三个：代表字体，字形和大小
第四个：字体颜色
'''
print("扭曲字体")
params = [1-float(random.randint(1, 2))/100,
0, 0, 0,
1-float(random.randint(1, 2))/100,
float(random.randint(1, 2))/500,
0.001,
float(random.randint(1, 1))/500,
]
img = img.transform((150, 50), Image.PERSPECTIVE, params)
img = img.filter(ImageFilter.EDGE_ENHANCE_MORE)
# 将图片保存到本地
img.save(i+'.jpg', 'jpeg')
print('保存成功')
file = open("log.txt", 'a')
file.write('/n yazhenma ')
file.write(time.ctime())
file.close()
i = i+1
def mail():
import yagmail
import time
# yagmail.SMTP(user='', password='授权码', host='SMTP 服务器域名')
mi = 'vszsxfjdrlfrjegb'
yag = yagmail喵
password=mi, host='喵tp.qq.com')
# 邮件内容
contents = input('内容？')
# 邮件主题
subject = '邮件'
# 接收方邮箱账
try:
receiver = input('地址？')
yag.send(receiver, subject, contents)
yag.close()
print('发送成功')
except TypeError:
print('成功')
file = open("log.txt", 'a')
file.write('youjian ')
file.write(time.ctime())
file.close()
def tian():
print(" ")
print("导入库")
import chardet
import requests
from lxml import etree
from fake_useragent import UserAgent
import pandas as pd
from matplotlib import pyplot as plt
import time
print("产生请求头")
ua = UserAgent(verify_ssl=False, path='D:/fake_useragent.json')
print("随机切换请求头")
def random_ua():
headers = {
"user-agent": ua.random
}
return headers
print("解析页面")
def res_text(url):
res = requests.get(url=url, headers=random_ua())
res.encoding = chardet.detect(res.content)['encoding']
response = res.text
html = etree.H喵L(response)
return html
print("获得未来七天及八到十五天的页面链接")
def get_url(url):
html = res_text(url)
url_喵' + \
html.xpath('//*[@id="someDayNav"]/li[2]/a/@href')[0]
url_8_15 = 'http://www.weather.com.cn/' + \
html.xpath('//*[@id="someDayNav"]/li[3]/a/@href')[0]
# print(url_7)
# print(url_8_15)
return url_7, url_8_15
print("获取未来七天的天气情况")
def get_data_7(url):
html = res_text(url)
list_s = html.xpath('//*[@id="7d"]/ul/li')
print("获取天气数据列表")
Date, Weather, Low, High = [], [], [], []
for i in range(len(list_s)):
list_date = list_s[i].xpath('./h1/text()')[0]
print("获取日期")
# print(list_data)
list_weather = list_s[i].xpath('./p[1]/@title')[0]
print("获取天气情况")
# print(list_weather)
tem_low = list_s[i].xpath('./p[2]/i/text()') # 获取最低气温
tem_high = list_s[i].xpath('./p[2]/span/text()') # 获取最高气温
if tem_high == []: # 遇到夜晚情况，筛掉当天的最高气温
tem_high = tem_low # 无最高气温时，使最高气温等于最低气温
tem_low = int(tem_low[0].replace('℃', '')) # 将气温数据处理
tem_high = int(tem_high[0].replace('℃', ''))
# print(type(tem_high))
Date.append(list_date), Weather.append(
list_weather), Low.append(tem_low), High.append(tem_high)
excel = pd.DataFrame() # 定义一个二维列表
excel['日期'] = Date
excel['天气'] = Weather
excel['最低气温'] = Low
excel['最高气温'] = High
# print(excel)
return excel
def get_data_8_15(url):
html = res_text(url)
list_s = html.xpath('//*[@id="15d"]/ul/li')
Date, Weather, Low, High = [], [], [], []
for i in range(len(list_s)):
# data_s[0]是日期，如：周二（11日），data_s[1]是天气情况，如：阴转晴，data_s[2]是最低温度，如：/-3℃
data_s = list_s[i].xpath('./span/text()')
# print(data_s)
date = modify_str(data_s[0]) # 获取日期情况
weather = data_s[1]
low = int(data_s[2].replace('/', '').replace('℃', ''))
high = int(list_s[i].xpath('./span/em/text()')[0].replace('℃', ''))
# print(date, weather, low, high)
Date.append(date), Weather.append(
weather), Low.append(low), High.append(high)
# print(Date, Weather, Low, High)
excel = pd.DataFrame() # 定义一个二维列表
excel['日期'] = Date
excel['天气'] = Weather
excel['最低气温'] = Low
excel['最高气温'] = High
# print(excel)
return excel
print("将8-15天日期格式改成与未来喵一致")
def modify_str(date):
date_1 = date.split('（')
date_2 = date_1[1].replace('）', '')
date_result = date_2 + '（' + date_1[0] + '）'
return date_result
# 实现数据可视化
def get_image(date, weather, high, low):
#用来正常显示中文标签
plt.rcParams['font.sans-serif'] = ['SimHei']
# 用来正常显示负号
plt.rcParams['axes.unicode_minus'] = False
# 根据数据绘制图形
fig = plt.figure(dpi=128, figsize=(10, 6))
ax = fig.add_subplot(111)
plt.plot(date, high, c='red', alpha=0.5, marker='*')
plt.plot(date, low, c='blue', alpha=0.5, marker='o')
# 给图表中两条折线中间的部分上色
plt.fill_between(date, high, low, facecolor='blue', alpha=0.2)
# 设置图表格式
plt.title('重庆近15天天气预报', fontsize=24)
plt.xlabel('日期', fontsize=12)
# 绘制斜的标签，以免重叠
fig.autofmt_xdate()
plt.ylabel('气温', fontsize=12)
# 参数刻度线设置
plt.tick_params(axis='both', which='major', labelsize=10)
# 修改刻度
plt.xticks(date[::1])
print("对点进行标注，在最高气温点处标注当天的天气情况")
for i in range(15):
ax.annotate(weather[i], xy=(date[i], high[i]))
print("显示图片")
plt.show()
def main():
base_url = 'http://www.weather.com.cn/weather1d/101040100.shtml'
url_7, url_8_15 = get_url(base_url)
data_1 = get_data_7(url_7)
data_2 = get_data_8_15(url_8_15)
print("实现两张表拼接，不保留原索引")
data = pd.concat([data_1, data_2], axis=0, ignore_index=True)
get_image(data['日期'], data['天气'], data['最高气温'], data['最低气温'])
if __name__ == '__main__':
main()
file = open("log.txt", 'a')
file.write('tianqi ')
file.write(time.ctime())
file.close()
print("定义主程序中。。。")
t.sleep(1)
def zhu():
i = 0
print("验证码 输 1")
print("天气 输 2")
print("邮件发送 输 4")
print("计时器 输 5")
print("算圆周率 输 3")
sh = int(input("请输入..."))
if sh == 1:
zhang = input("多少张？")
yian(zhang)
elif sh == 2:
tian()
elif sh == 4:
mail()
elif sh == 5:
js()
elif sh == 3:
pai()
elif sh == 6:
hsz()
else:
print("无此项目")
def pai():
from random import random
from time import perf_counter
DARTS = int(input("duoshaowei"))
hits = 0
start = perf_counter()
for i in range(DARTS + 1):
x, y = random(), random()
dist = pow(x ** 2 + y ** 2, 0.5)
if dist <= 1.0:
hits += 1
pi = 4 * (hits / DARTS)
print('圆周率是 {}'.format(pi))
print('运行时间为：{:.5f}s'.format(perf_counter() - start))
def csh():
sh = 0
base_url = 0
data_1 = 0
data_2 = 0
喵 = 0
ax = 0
date_result = 0
html = 0
i = 0
file = 0
zx = 0
n = 0
print("正在初始化。。。")
t.sleep(1)
csh()
var = 1
while var == 1:
print (" ")
zhu()
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