import pyttsx3
engine = pyttsx3.init()
engine.say('You are so handsome!')
engine.runAndWait()                                                             

import random
from openpyxl import workbook
from faker import Faker
wb = workbook.Workbook()
sheet = wb.worksheets[0]
sheet.title = 'pd练习'
li = ['序号', '姓名', '年龄', '性别', '健康程度', '国家']
di = {'中国': 'zh_CN', '美国': 'en_US', '法国': 'fr_FR', '日本': 'ja_JP'}
with open('new_message.xlsx', mode='w', encoding='utf-8') as f:
    for num, item in enumerate(li, 1):
        sheet.cell(1, num).value = item
    for num, i in enumerate(range(2, 502), 1):
        country = random.choice(['中国', '美国', '法国', '日本'])
        gender = random.choice(['男', '女'])
        fk = Faker(locale=di[country])
        sheet.cell(i, 1).value = num
        sheet.cell(i, 2).value = fk.name_male() if gender == '男' else fk.name_female()
        sheet.cell(i, 3).value = random.randint(14, 66)
        sheet.cell(i, 4).value = gender
        sheet.cell(i, 5).value = round(random.random(), 2)
        sheet.cell(i, 6).value = country
wb.save('new_message.xlsx')

import calendar
year =int(input("请输入年份："))
month = int(input("请输入月份："))
print(calendar.month(year,month))  

import stylecloud
stylecloud.gen_stylecloud(file_path='./data/text.txt',icon_name="fas fa-dragon",output_name='dragon.png')

def gen_stylecloud(text=None,
                   file_path=None,  # 文本文件路径
                   size=512,  # 大小(长宽)
                   icon_name='fas fa-flag',  # icon样式
                   palette='cartocolors.qualitative.Bold_5',
                   # 调色板。[default: cartocolors.qualitative.Bold_6]
                   colors=None,
                   background_color="white",  # 背景颜色
                   max_font_size=200,  # stylecloud 中的最大字号
                   max_words=2000,  # stylecloud 可包含的最大单词数
                   stopwords=True,  # 布尔值，筛除常见禁用词.
                   custom_stopwords=STOPWORDS,
                   icon_dir='.temp',
                   output_name='stylecloud.png',  # stylecloud 的输出文本名
                   gradient=None,  # 梯度方向
                   font_path=os.path.join(STATIC_PATH, 'Staatliches-Regular.ttf'),  # 字体
                   random_state=None,  # 单词和颜色的随机状态
                   collocations=True,
                   invert_mask=False,
                   pro_icon_path=None,
                   pro_css_path=None):

stylecloud.gen_stylecloud(file_path='./data/text.txt',icon_name="fas fa-dragon",colors='red',
                          background_color='black',
                          output_name='dragon.png')

import numpy as np
import matplotlib.pyplot as plt
from os import path
from PIL import Image
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
text = open('./data/text.txt','r',encoding='utf-8').read()
img = np.array(Image.open('./data/xxpp.jpg'))
# 禁用词
stopwords = set(STOPWORDS)
stopwords.add("xx")
# 通过 mask 参数设置词云形状
wc = WordCloud(background_color="white", max_words=2000, mask=img,
               stopwords=stopwords, max_font_size=40, random_state=42)
wc.generate(text)
image_colors = ImageColorGenerator(img)
plt.figure(figsize = (16,9))
plt.subplot(131)
plt.imshow(wc, interpolation="bilinear")
plt.axis("off")
plt.subplot(132)
plt.imshow(wc.recolor(color_func=image_colors), interpolation="bilinear")
plt.axis("off")
plt.subplot(133)
plt.imshow(img, cmap=plt.cm.gray, interpolation="bilinear")
plt.axis("off")
plt.show()

from wordcloud import WordCloud, ImageColorGenerator
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
# create a mask based on the image we wish to include
my_mask = np.array(Image.open('./data/ccc01.jpg'))
# create a wordcloud
wc = WordCloud(background_color='white',
                   mask=my_mask,
                   collocations=False,
                   width=500,
                   height=400,
                   contour_width=1,
                   contour_color='black')
with open('./data/text.txt',encoding='utf-8') as txt_file:
    texto = txt_file.read()
wc.generate(texto)
image_colors = ImageColorGenerator(my_mask)
wc.recolor(color_func=image_colors)
plt.figure(figsize=(20, 10))
plt.imshow(wc, interpolation='bilinear')
plt.axis('off')
wc.to_file('wordcloud01.png')
plt.show()