def download_pic(pic_data):
split = pic_data.split("~")
pic_dir = pic_save_path + split[0] + "/"
pic_url = split[1]
t.is_dir_existed(pic_dir)
while True:
proxy_ip = t.get_proxy_ip()
print(proxy_ip)
try:
resp = requests.get(pic_url, proxies=proxy_ip, timeout=5)
if resp is not None:
print("下载图片:" + resp.request.url)
pic_name = pic_url.split("/")[-1]
with open(pic_dir + pic_name, "wb+") as f:
f.write(resp.content)
return None
except Exception as e:
print(e)
def download_pic(pic_data):
split = pic_data.split("~")
pic_dir = c.ZZS_FLS_MZT_SAVE_PATH + split[0] + "/"
pic_url = split[1]
t.is_dir_existed(pic_dir)
while True:
proxy_ip = t.get_proxy_ip()
print(proxy_ip)
try:
resp = requests.get(pic_url, proxies=proxy_ip, timeout=5)
if resp is not None:
print("下载图片:" + resp.request.url)
pic_name = pic_url.split("/")[-1]
with open(pic_dir + pic_name, "wb+") as f:
f.write(resp.content)
return None
except Exception as e:
print(e)
def __init__(self):
if not t.is_dir_existed(save_file, mkdir=False):
# 1.创建工作薄
self.workbook = xlwt.Workbook()
# 2.创建工作表，第二个参数用于确认同一个cell单元是否可以重设值
self.sheet = self.workbook.add_sheet(u"豆瓣音乐Top 250", cell_overwrite_ok=True)
# 3.初始化表头
self.headTitles = [u'图片链接', u'歌名', u'歌手', u'发行时间', u'分类', u'评分', u'评分人数', u'歌曲详情页']
for i, item in enumerate(self.headTitles):
self.sheet.write(0, i, item, self.style('Monaco', 220, bold=True))
self.workbook.save(save_file)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("-seg_file", default='test.txt', help='seg_file')
parser.add_argument("-title_file", default='test.txt', help='title_file')
parser.add_argument('-output_file',
default='output.txt',
help='output_file')
args = parser.parse_args()
seg_file = args.seg_file
title_file = args.title_file
seg_text = []
title_text = []
with open(seg_file) as f:
for line in f:
seg_text.append(line)
f.close()
with open(title_file) as f:
for lien in f:
title_text.append(line)
t.is_dir_existed(c.outputs_documents_path)
ppt_existed(ppt_file_name)
presentation = Presentation(ppt_file_name)
read_rules(presentation, rules_path)
presentation.save(ppt_file_name)
return None
except Exception as e:
pass
def fetch_meizi_pic(url):
print("解析接口：" + url)
try:
resp = requests.get(url).json()
return resp['results']
except Exception as e:
print(e)
if __name__ == '__main__':
t.is_dir_existed(pic_save_dir)
t.is_dir_existed(c.outputs_logs_path)
print("检测图片图片url文件是否存在：")
if t.is_dir_existed(pic_urls_file, mkdir=False):
print("url文件已存在!")
else:
print("url文件不存在，开始解析图片接口...")
cur_page = 1
while True:
results = fetch_meizi_pic(api_url + str(cur_page))
if results is not None and len(results) > 0:
for result in results:
t.write_str_data(result['url'], pic_urls_file)
cur_page += 1
else:
break
visual_range=[10, 2500],
visual_text_color="#fff",
symbol_size=15,
is_visualmap=True)
return geo
# 交友宣言词云
def draw_word_wc(name, count):
wc = WordCloud(width=1300, height=620)
wc.add("", name, count, word_size_range=[20, 100], shape='diamond')
wc.render()
if __name__ == '__main__':
if not t.is_dir_existed(result_save_file, mkdir=False):
for i in range(1, 777):
time.sleep(random.randint(2, 10))
fetch_data(i)
else:
raw_data = pd.read_csv(result_save_file)
word_result = word_pattern.sub("", ''.join(analysis_word(raw_data)))
words = [
word for word in jb.cut(word_result, cut_all=False)
if len(word) >= 3
]
exclude_words = [
'一辈子', '不相离', '另一半', '业余时间', '性格特点', '茫茫人海', '男朋友', '找对象', '谈恋爱',
'有时候', '女孩子', '哈哈哈', '加微信', '兴趣爱好', '是因为', '不良嗜好', '男孩子', '为什么',
'没关系', '不介意', '没什么', '交朋友', '大大咧咧', '大富大贵', '联系方式', '打招呼', '有意者',
'晚一点', '哈哈哈', '以上学历', '是不是', '给我发', '不怎么', '第一次', '越来越', '遇一人',
# 技能标签
skill_list = []
for skills in data['技能标签']:
for skill in skills.strip().replace("[", "").replace("]", "").replace(
"'", "").split(','):
skill_list.append(skill)
counter = dict(Counter(skill_list))
counter.pop('')
counter.pop('Android')
make_wc(counter, pic_save_path + "wc_4.jpg")
# 处理数据
if __name__ == '__main__':
t.is_dir_existed(pic_save_path)
if not t.is_dir_existed(result_save_file, mkdir=False):
fetch_data(1)
for cur_page in range(2, max_page + 1):
# 随缘休息5-15s
time.sleep(random.randint(5, 15))
fetch_data(cur_page)
else:
raw_data = pd.read_csv(result_save_file)
# data_analysis(raw_data)
# 筛选电子商务公司
dzsw_result = raw_data.loc[raw_data["行业领域"].str.find("电子商务") != -1,
["行业领域", "公司全名"]]
dzsw_result.to_csv(c.outputs_logs_path + "dzsw.csv",
header=False,
index=False,
paragraph.font.name = '微软雅黑'
paragraph.font.color.rgb = RGBColor(255, 255, 255)
# 读取配置文件调用模板的方法
def read_rules(prs, filename):
if os.path.exists(filename):
with open(filename, 'r+', encoding='utf-8') as f:
for rule in f:
word_list = rule.replace('\n', '').split(',')
if 'png' in rule or 'jpg' in rule:
if len(word_list) == 1:
model_1(prs, os.path.join(c.res_pictures, word_list[0]))
else:
model_3(prs, word_list[0], os.path.join(c.res_pictures, word_list[1]))
else:
if len(word_list) == 1:
model_2(prs, word_list[0])
elif len(word_list) == 2:
model_4(prs, word_list[0], word_list[1])
elif len(word_list) == 4:
model_5(prs, word_list[0], word_list[1], word_list[2], word_list[3])
if __name__ == '__main__':
t.is_dir_existed(c.outputs_documents_path)
ppt_existed(ppt_file_name)
presentation = Presentation(ppt_file_name)
read_rules(presentation, rules_path)
presentation.save(ppt_file_name)
# 获取套图Url里所有的图片
def catch_pic_diagrams(url):
resp = requests.get(url).content
if resp is not None:
soup = t.get_bs(resp)
# 拿标题建文件夹
title = soup.select("h1.article-title a")[0].text
imgs = soup.select('article.article-content img')
for img in imgs[:-1]:
t.write_str_data(title + "~" + str(img['src']),
c.ZZS_FLS_MZT_URL_FILE_PATH + c.ZZS_FLS_MZT_URL_FILE_NAME)
if __name__ == '__main__':
t.is_dir_existed(c.ZZS_FLS_MZT_URL_FILE_PATH)
cur_page = 1
while True:
results = catch_pic_diagrams_url(c.ZZS_FLS_MZT_URL + str(cur_page))
if results is not None and len(results) > 0:
for result in results:
catch_pic_diagrams(result)
cur_page += 1
else:
break
# 加载下载列表
data_list = t.load_list_from_file(c.ZZS_FLS_MZT_URL_FILE_PATH + c.ZZS_FLS_MZT_URL_FILE_NAME)
pool = multiprocessing.Pool()
pool.map(download_pic, data_list)
# 阅读量访问线程
class Reader(t.Thread):
def __init__(self, t_name, func):
self.func = func
t.Thread.__init__(self, name=t_name)
def run(self):
self.func()
# 阅读操作
def reading():
while True:
read_article_url(url_list[random.randint(0, len(url_list) - 1)])
if __name__ == '__main__':
print("判断文章链接文件是否存在：")
if not tools.is_dir_existed(articles_file, mkdir=False):
print("链接文件不存在，抓取链接...")
count = int(get_page_count())
for i in range(1, count + 1):
get_article_url(base_article_list + str(i) + '?viewmode=contents')
else:
print("链接文件存在")
print("加载文章链接文件...")
url_list = tools.load_list_from_file(articles_file)
for i in range(100):
reader = Reader("线程" + str(i), reading)
reader.start()
# 阅读量访问线程
class Reader(t.Thread):
def __init__(self, t_name, func):
self.func = func
t.Thread.__init__(self, name=t_name)
def run(self):
self.func()
# 阅读操作
def reading():
while True:
read_article_url(url_list[random.randint(0, len(url_list) - 1)])
if __name__ == '__main__':
print("判断文章链接文件是否存在：")
if not tools.is_dir_existed(articles_file, mkdir=False):
print("链接文件不存在，抓取链接...")
count = int(get_page_count())
for i in range(1, count + 1):
get_article_url(base_article_list + str(i) + '?viewmode=contents')
else:
print("链接文件存在")
print("加载文章链接文件...")
url_list = tools.load_list_from_file(articles_file)
for i in range(100):
reader = Reader("线程" + str(i), reading)
reader.start()
height=600, background_color='#404a59')
attr, value = geo.cast(data)
geo.add("", attr, value, visual_range=[10, 2500], visual_text_color="#fff",
symbol_size=15, is_visualmap=True)
return geo
# 交友宣言词云
def draw_word_wc(name, count):
wc = WordCloud(width=1300, height=620)
wc.add("", name, count, word_size_range=[20, 100], shape='diamond')
wc.render()
if __name__ == '__main__':
if not t.is_dir_existed(result_save_file, mkdir=False):
for i in range(1, 777):
time.sleep(random.randint(2, 10))
fetch_data(i)
else:
raw_data = pd.read_csv(result_save_file)
word_result = word_pattern.sub("", ''.join(analysis_word(raw_data)))
words = [word for word in jb.cut(word_result, cut_all=False) if len(word) >= 3]
exclude_words = [
'一辈子', '不相离', '另一半', '业余时间', '性格特点', '茫茫人海', '男朋友', '找对象',
'谈恋爱', '有时候', '女孩子', '哈哈哈', '加微信', '兴趣爱好',
'是因为', '不良嗜好', '男孩子', '为什么', '没关系', '不介意',
'没什么', '交朋友', '大大咧咧', '大富大贵', '联系方式', '打招呼',
'有意者', '晚一点', '哈哈哈', '以上学历', '是不是', '给我发',
'不怎么', '第一次', '越来越', '遇一人', '择一人', '无数次',
'符合条件', '什么样', '全世界', '比较简单', '浪费时间', '不知不觉',
salary_index = list(salary.index)
salary_index.sort(key=lambda x: int(x))
final_salary = salary.reindex(salary_index)
plt.title("薪资条形图")
final_salary.plot(kind='bar', rot=0)
plt.xlabel("薪资/K")
plt.ylabel("公司/个")
plt.savefig(pic_save_path + 'result_7.jpg')
plt.close(7)
# 技能标签
skill_list = []
for skills in data['技能标签']:
for skill in skills.strip().replace("[", "").replace("]", "").replace("'", "").split(','):
skill_list.append(skill)
counter = dict(Counter(skill_list))
counter.pop('')
make_wc(counter, pic_save_path + "wc_4.jpg")
# 处理数据
if __name__ == '__main__':
t.is_dir_existed(pic_save_path)
if not t.is_dir_existed(result_save_file, mkdir=False):
fetch_data(1)
for cur_page in range(2, max_page + 1):
fetch_data(cur_page)
else:
raw_data = pd.read_csv(result_save_file)
data_analysis(raw_data)
# 获取套图Url里所有的图片
def catch_pic_diagrams(url):
resp = requests.get(url).content
if resp is not None:
soup = t.get_bs(resp)
# 拿标题建文件夹
title = soup.select("h1.article-title a")[0].text
imgs = soup.select('article.article-content img')
for img in imgs[:-1]:
t.write_str_data(title + "~" + str(img['src']),
file_save_path)
if __name__ == '__main__':
t.is_dir_existed(c.outputs_logs_path)
cur_page = 1
while True:
results = catch_pic_diagrams_url(index_url + str(cur_page))
if results is not None and len(results) > 0:
for result in results:
catch_pic_diagrams(result)
cur_page += 1
else:
break
# 加载下载列表
data_list = t.load_list_from_file(file_save_path)
pool = multiprocessing.Pool()
pool.map(download_pic, data_list)
return url_list
# 获取套图Url里所有的图片
def catch_pic_diagrams(url):
resp = requests.get(url).content
if resp is not None:
soup = t.get_bs(resp)
# 拿标题建文件夹
title = soup.select("h1.article-title a")[0].text
imgs = soup.select('article.article-content img')
for img in imgs[:-1]:
t.write_str_data(title + "~" + str(img['src']), file_save_path)
if __name__ == '__main__':
t.is_dir_existed(c.outputs_logs_path)
cur_page = 1
while True:
results = catch_pic_diagrams_url(index_url + str(cur_page))
if results is not None and len(results) > 0:
for result in results:
catch_pic_diagrams(result)
cur_page += 1
else:
break
# 加载下载列表
data_list = t.load_list_from_file(file_save_path)
pool = multiprocessing.Pool()
pool.map(download_pic, data_list)