def take_snapshot(self, file_html=None, width="1400px", height="580px"):
"""获取快照
:param file_html: str
交易快照保存的 html 文件名
:param width: str
图表宽度
:param height: str
图表高度
:return:
"""
tab = Tab(page_title="{}@{}".format(self.symbol, self.end_dt.strftime("%Y-%m-%d %H:%M")))
for freq in self.freqs:
chart = self.kas[freq].to_echarts(width, height)
tab.add(chart, freq)
t1 = Table()
t1.add(["名称", "数据"], [[k, v] for k, v in self.s.items()
if "_" in k and isinstance(v, str)
and v not in ["Other~其他", "向下", 'Y~是', 'N~否', '向上']])
t1.set_global_opts(title_opts=ComponentTitleOpts(title="缠中说禅信号表", subtitle=""))
tab.add(t1, "信号表")
t2 = Table()
ths_ = [["同花顺F10", "http://basic.10jqka.com.cn/{}".format(self.symbol[:6])]]
t2.add(["名称", "数据"], [[k, v] for k, v in self.s.items() if "_" not in k and v != "Other~其他"] + ths_)
t2.set_global_opts(title_opts=ComponentTitleOpts(title="缠中说禅因子表", subtitle=""))
tab.add(t2, "因子表")
if file_html:
tab.render(file_html)
else:
return tab
def take_snapshot(self, file_html=None, width="1400px", height="580px"):
"""获取快照
:param file_html: str
交易快照保存的 html 文件名
:param width: str
图表宽度
:param height: str
图表高度
:return:
"""
tab = Tab(page_title="{}@{}".format(
self.symbol, self.end_dt.strftime("%Y-%m-%d %H:%M")))
for freq in self.freqs:
chart = ka_to_echarts(self.kas[freq], width, height)
tab.add(chart, freq)
t1 = Table()
t1.add(["名称", "数据"], [[k, v] for k, v in self.s.items() if "_" in k])
t1.set_global_opts(
title_opts=ComponentTitleOpts(title="缠中说禅信号表", subtitle=""))
tab.add(t1, "信号表")
t2 = Table()
t2.add(["名称", "数据"],
[[k, v] for k, v in self.s.items() if "_" not in k])
t2.set_global_opts(
title_opts=ComponentTitleOpts(title="缠中说禅因子表", subtitle=""))
tab.add(t2, "因子表")
if file_html:
tab.render(file_html)
else:
return tab
def table_picture(self, headers, data):
'''
数据类似
headers = ["City name", "Area", "Population", "Annual Rainfall"]
data = [
["Brisbane", 5905, 1857594, 1146.4],
["Adelaide", 1295, 1158259, 600.5],
["Darwin", 112, 120900, 1714.7],
["Hobart", 1357, 205556, 619.5],
["Sydney", 2058, 4336374, 1214.8],
["Melbourne", 1566, 3806092, 646.9],
["Perth", 5386, 1554769, 869.4],
]
'''
headers = [""]
data = [
[]
]
table = (
Table()
.add(headers=headers, rows=data)
.set_global_opts(title_opts=ComponentTitleOpts(title=self.title, subtitle=self.subtitle),
# 添加logo
graphic_opts=self.logo
)
)
return table
def get_eventtable(rows) -> Table:
table = Table()
headers = ["序号", "日期", "举报内容", "所属区域", "维度", "经度"]
for r in rows:
c = r[2]
cl = list(c)
n_w = len(cl)
idx = int((n_w - 1) / 30) #每40个词分行
if (idx < 1):
continue
for i in range(idx):
cl.insert((i + 1) * 30, "\n")
r[2] = "".join(cl)
'''
headers = ["City name", "Area", "Population", "Annual Rainfall"]
rows = [
["Brisbane", 5905, 1857594, 1146.4],
["Adelaide", 1295, 1158259, 600.5],
["Darwin", 112, 120900, 1714.7],
["Hobart", 1357, 205556, 619.5],
["Sydney", 2058, 4336374, 1214.8],
["Melbourne", 1566, 3806092, 646.9],
["Perth", 5386, 1554769, 869.4],
["Sydney", 2058, 4336374, 1214.8],
["Melbourne", 1566, 3806092, 646.9],
["Perth", 5386, 1554769, 869.4],
]
'''
table.add(headers, rows).set_global_opts(
title_opts=ComponentTitleOpts(title="详细举报数据"), )
return table
def drawTable(maintitle: str, subtitle: str, colname: list,
row: list) -> Table:
# 希望实现得功能：
# 传入参数，返回一个table
table = Table()
tableHeader = colname
tableRow = row
tableTitle = maintitle
tableSubTitle = subtitle
table.add(tableHeader, tableRow)
if tableSubTitle != '':
table.set_global_opts(title_opts=ComponentTitleOpts(
title=tableTitle, subtitle=tableSubTitle))
else:
table.set_global_opts(title_opts=ComponentTitleOpts(title=tableTitle))
return table
def statistics(model,
jupyter=True,
path='Model Summary.html',
title="Model Summary",
subtitle=""):
t = pd.DataFrame([[
i.name, i.__class__.__name__, i.trainable, i.dtype, i.input_shape,
i.output_shape,
i.count_params()
] for i in model.layers],
columns=[
'layer_custom_name', 'layer_object_name', 'trainable',
'dtype', 'input_shape', 'output_shape', 'params'
])
# t['output_memory(MB)'] = (t.output_shape.map(lambda x:sum([reduce(lambda y,z:y*z, i[1:]) for i in x]) if isinstance(x, list) else reduce(lambda y,z:y*z, x[1:]))
# *t.dtype.map(lambda x:int(re.sub("\D", "", x))))/32#/1024/1024)
t.loc['total'] = ['', '', '', '', '', '', t.params.sum()]
t['input_shape'] = t.input_shape.map(
lambda x: str(x).replace("),(", "),\n(") if isinstance(x, list) else x)
t = t.reset_index().rename(columns={'index': ''})
for i in t.columns:
t[i] = t[i].astype(str)
table = Table()
headers = t.columns.tolist()
rows = t.values.tolist()
table.add(headers, rows).set_global_opts(
title_opts=ComponentTitleOpts(title=title, subtitle=subtitle))
return table.render_notebook() if jupyter else table.render(path)
def pic_wordcloud_user_jov_base():
"""
It is used to respond to requests for chart parameters.
Returns
-------
image : TYPE-IMAGE Component parameters
DESCRIPTION:IMAGE html parameters.
"""
# get picture
from wordcloud import WordCloud
data_pair = user_job_wordcloud_freq_query()
wc = WordCloud(width=1200,height=800,min_font_size=10,max_font_size=100,font_step=2,max_words=10000,background_color="white")
wc.generate_from_frequencies(dict(data_pair))
wc.to_file(os.path.join(config.image_dir,"wordcloud_user_job.png"))
# render picture
from pyecharts.components import Image
from pyecharts.options import ComponentTitleOpts
image = Image()
img_src = (os.path.join(config.image_dir,"wordcloud_user_job.png"))
image.add(src=img_src,
style_opts={"width": "1200px", "height": "800px", "style": "margin-top: 20px"},
)
image.set_global_opts(title_opts=ComponentTitleOpts(title="User Occupation Analysis"))
return image
def title(fea_data, style_data) -> Image:
image = Image()
sub_data = ""
for i in range(len(fea_data)):
if i == 0: sub_data += "关于面向用例：\n"
if i == 3: sub_data += "\n关于提交次数：\n"
if i == 4: sub_data += "\n关于时间偏好：\n"
if i == 9: sub_data += "\n面对难题：\n"
sub_data = sub_data + fea_data[i] + "\n"
for i in range(len(style_data)):
if i == 0: sub_data += "\n\n代码风格评估：\n"
sub_data = sub_data + style_data[i]
if i == 2: sub_data += "\n"
if i == 3: sub_data += "\n"
if i == 5: sub_data += "\n"
# img_src = (
# "/Users/amanda/Data_Science/src/可视化/title.png"
# )
# image.add(
# src=img_src,
# style_opts={"width": "200px", "height": "200px", "style": "margin-top: 20px"},
# )
image.set_global_opts(title_opts=ComponentTitleOpts(title="PYTHON 用户数据分析",
subtitle=sub_data))
return image
def table_traces(rows) -> Table:
table = Table()
headers = ["设备名", "MonkeyError", "条数"]
table.add(
headers,
rows).set_global_opts(title_opts=ComponentTitleOpts(title="错误日志收集"))
return table
def take_snapshot(self, file_html=None, width="1400px", height="580px"):
"""获取快照
:param file_html: str
交易快照保存的 html 文件名
:param width: str
图表宽度
:param height: str
图表高度
:return:
"""
tab = Tab(page_title="{}@{}".format(
self.symbol, self.end_dt.strftime("%Y-%m-%d %H:%M")))
for freq in self.freqs:
chart = self.kas[freq].to_echarts(width, height)
tab.add(chart, freq)
for freq in self.freqs:
t1 = Table()
t1.add(["名称", "数据"], [[k, v] for k, v in self.s.items()
if k.startswith("{}_".format(freq))])
t1.set_global_opts(
title_opts=ComponentTitleOpts(title="缠中说禅信号表", subtitle=""))
tab.add(t1, "{}信号表".format(freq))
t2 = Table()
ths_ = [[
"同花顺F10", "http://basic.10jqka.com.cn/{}".format(self.symbol[:6])
]]
t2.add(["名称", "数据"],
[[k, v] for k, v in self.s.items() if "_" not in k] + ths_)
t2.set_global_opts(
title_opts=ComponentTitleOpts(title="缠中说禅因子表", subtitle=""))
tab.add(t2, "因子表")
t3 = Table()
t3.add(["本级别", "次级别"],
[[k, v] for k, v in eval(self.s['级别映射']).items()])
t3.set_global_opts(
title_opts=ComponentTitleOpts(title="缠中说禅级别映射表", subtitle=""))
tab.add(t3, "级别映射表")
if file_html:
tab.render(file_html)
else:
return tab
def createtable(data):
# 生成pyecharts表格
table = Table()
headers = ["提交日期","仪器编号","板号","样品数量","结果均值","ISD"]
# rows = [[localtime(d.upload_time).strftime("%Y-%m-%d %X"), d.instrument, d.platenum, d.num, d.mean, d.sd] for d in data]
rows = [[d.upload_time.strftime("%Y-%m-%d %X"), d.instrument, d.platenum, d.num, d.mean, d.sd] for d in data]
table.add(headers, rows).set_global_opts(title_opts=ComponentTitleOpts(title="结果分布表"))
return table
def table_base(data):
data = data.reset_index().round(4)
headers = data.columns.tolist()
cont = data.values.tolist()
table = Table().add(headers, cont).set_global_opts(
title_opts=ComponentTitleOpts(title="", subtitle="数据来源:WIND")
).set_global_opts()
return table
def table_base(rows) -> Table:
table = Table()
headers = [
"设备名", "设备号", "CPU", "总内存", "分辨率", "网络", "耗时(s)", "CPU峰值", "CPU均值",
"内存峰值", "内存均值", "fps峰值", "fps均值", "开始电量", "结束电量", "上行流量峰值", "上行流量均值",
"下行流量峰值", "下行流量均值"
]
table.add(headers, rows).set_global_opts(
title_opts=ComponentTitleOpts(title="手机汇总信息", subtitle=""))
return table
def table_base():
table = Table()
headers = ["地区", "现有确诊", "累计死亡", "累计治愈"]
rows = []
table.add(headers, rows).set_global_opts(
title_opts=ComponentTitleOpts(title="Table", subtitle="副标题"))
# table.render("table_base.html")
return rows
def table_base(feeds: typing.List) -> Table:
table = Table()
headers = ['user', 'action', 'time', 'question', 'vote']
rows = []
for f in feeds:
info = [f.user, f.action, f.time, f.question, f.vote]
rows.append(info)
table.add(headers, rows).set_global_opts(title_opts=ComponentTitleOpts(
title='爬取一天的关注动态', subtitle='利用无头浏览器爬取异步加载页面'))
table.render('zhihu.html')
return table
def table_base():
table = Table()
headers = ["地区", "确诊", "死亡", "治愈"]
rows = [["湖北", 13522, 414, 397], ["浙江", 829, 0, 60], ["广东", 813, 0, 24],
["河南", 675, 2, 20], ["湖南", 593, 0, 29], ["安徽", 480, 0, 20],
["江西", 476, 2, 19], ["重庆", 344, 2, 9]]
table.add(headers, rows).set_global_opts(
title_opts=ComponentTitleOpts(title="Table", subtitle="副标题"))
# table.render("table_base.html")
return rows
def draw_Table(Time_List, Score_List, Comment_List, Update_List): #绘制评论表格 table = Table() headers = ["评论时间", "情绪值", "评论内容"] rows = [] for index in range(0,1800,30): temp = [Time_List[index], Score_List[index], Comment_List[index]] rows.append(temp) table.add(headers, rows).set_global_opts( title_opts=ComponentTitleOpts(title="时间-情绪-评论文本 抽样数据") ) return table
def draw_cloud(url,user_id,title = "用户词云"):
image = Image()
image.add(
src=url,
style_opts={"width": "800px", "height": "500px", "style": "margin-left: 200px"},
)
image.set_global_opts(
title_opts=ComponentTitleOpts(title=title, subtitle="用户:"+str(user_id))
)
return image
def table(self):
table = Table()
if self.obj.type == 0:
headers = ["用户名", "Rank", "平均Rank", "通过率"]
rows = [[self.obj.sid, self.obj.rank, self.obj.averageRank, self.obj.passingRate]]
title = self.obj.sid + "个人信息"
else:
headers = ["单位", "Rank", "平均Rank"]
rows = [[self.obj.sid, self.obj.rank, self.obj.averageRank]]
title = self.obj.sid + "信息"
table.add(headers, rows)
table.set_global_opts(title_opts = ComponentTitleOpts(title = title, title_style = {"style": "text-align:center;font-weight:800;"}))
self.page.add(table)
def table(self):
print('正在生成表格...')
table = Table()
headers = ['商品详情', '商品价格', '商品销量', '店铺名称', '店铺地址', '商品图片', '商品主页']
rows = [
list(item.values())
for item in self.collection.find({}, {'_id': 0})
]
table.add(headers, rows)
table.set_global_opts(title_opts=ComponentTitleOpts(title="数据源表格汇总"))
table.render("表格汇总.html")
print('生成完成')
def image_base() -> Image:
image = Image()
img_src = (
"https://user-images.githubusercontent.com/19553554/396123"
"58-499eb2ae-4f91-11e8-8f56-179c4f0bf2df.png"
)
image.add(
src=img_src,
style_opts={"width": "200px", "height": "200px", "style": "margin-top: 20px"},
).set_global_opts(
title_opts=ComponentTitleOpts(title="Image-基本示例", subtitle="我是副标题支持换行哦")
)
return image
def table_base(Movies) -> Table:
table = Table()
headers = ['name', 'score', 'quote', 'cover_url', 'ranking', 'country']
rows = []
for movie in Movies:
info = [
movie.name, movie.score, movie.quote, movie.cover_url,
movie.ranking, movie.country
]
rows.append(info)
table.add(headers, rows).set_global_opts(title_opts=ComponentTitleOpts(
title='多页爬虫', subtitle='利用URL自动爬取下一页'))
table.render('douban.html')
return table
def totable(self,arrayAttr,arrayValue,name) -> Table:
table = Table()
headers =arrayAttr
rows = [
arrayValue
]
table.add(headers, rows).set_global_opts(
title_opts=ComponentTitleOpts(title="Table-Details", subtitle=name)
)
hname = str(time.time()) + '.html'
table.render('./front-end/table/'+hname)
return hname
def table_base() -> Table:
table = Table()
headers = ["年份", "华南理工大学", "深圳大学", "广州工业大学", "五邑大学"]
rows = [
["2019", 55, 169, 377, 745],
["2018", 58, 167, 452, 792],
["2017", 87, 432, 406, 768],
["2016", 58, 470, 350, 800],
]
table.add(headers, rows).set_global_opts(
title_opts=ComponentTitleOpts(title="江门一中最低录取排名（不包含自主招生）")
)
return table
def take_snapshot(self, file_html, width="950px", height="480px"):
tab = Tab(page_title="{}的交易快照@{}".format(
self.symbol, self.end_dt.strftime("%Y-%m-%d %H:%M")))
for freq in self.freqs:
chart = ka_to_echarts(self.kas[freq], width, height)
tab.add(chart, freq)
headers = ["名称", "数据"]
rows = [[k, v] for k, v in self.signals.items()]
table = Table()
table.add(headers, rows)
table.set_global_opts(
title_opts=ComponentTitleOpts(title="缠论信号", subtitle=""))
tab.add(table, "信号表")
tab.render(file_html)
def table_base_zc() -> Table:
header = []
for i in rs_1.columns.tolist():
header.append(i)
show_list = []
for row in rs_1.round(2).itertuples():
show_list.append([row[1], row[2], row[3], row[4], row[5]])
table_zc = Table()
table_zc.add(header, show_list)
table_zc.set_global_opts(
title_opts=ComponentTitleOpts(title="资产负债表", subtitle="（单位:万元 粒度:季度 币种:HRMB）")
)
return table_zc
def table_base() -> Table:
table = Table()
headers = ["City name", "Area", "Population", "Annual Rainfall"]
rows = [
["Brisbane", 5905, 1857594, 1146.4],
["Adelaide", 1295, 1158259, 600.5],
["Darwin", 112, 120900, 1714.7],
["Hobart", 1357, 205556, 619.5],
["Sydney", 2058, 4336374, 1214.8],
["Melbourne", 1566, 3806092, 646.9],
["Perth", 5386, 1554769, 869.4],
]
table.add(headers, rows).set_global_opts(title_opts=ComponentTitleOpts(
title="Table-基本示例", subtitle="我是副标题支持换行哦"))
return table
def table_base_lr() -> Table:
headers = []
for i in rs_2.columns.tolist():
headers.append(i)
show_list = []
for row in rs_2.round(2).itertuples():
# print(row)
show_list.append([row[1], row[2]])
# print(numsList)
table_lr = Table()
table_lr.add(headers, show_list)
table_lr.set_global_opts(
title_opts=ComponentTitleOpts(title="利润表", subtitle="（单位:万元 粒度:季度 币种:HRMB）")
)
return table_lr
def create_table(data, crawl_time):
table = Table(page_title="TRHX丨CSDN 2020 博客之星实时数据")
header = [
"排名", "票数", "编号", "CSDN ID", "CSDN 昵称", "码龄", "文章数", "主页", "投票地址"
]
rows = data
table.add(header, rows)
table.set_global_opts(title_opts=ComponentTitleOpts(
title="CSDN 2020 博客之星实时数据排名（每10分钟更新一次）",
subtitle='上次更新时间：' + str(crawl_time) +
' 数据来源：https://bss.csdn.net/m/topic/blog_star2020'
+
"\n\n作者：TRHX • 鲍勃 为作者投上一票吧：https://bss.csdn.net/m/topic/blog_star2020/detail?username=qq_36759224",
title_style={
"style": "font-size:20px; font-weight:bold; text-align: center"
},
subtitle_style={"style": "font-size:15px; text-align: center"}))
table.render("csdn_blog_star_2020.html")
def table_base() -> Table:
from pyecharts.options import ComponentTitleOpts
table = Table()
headers = [
"Agent name", "Balance", "Signed Contracts", "Executed Contracts"
]
rows = [
["Brisbane", 5905, 1857594, 1146.4],
["Adelaide", 1295, 1158259, 600.5],
["Darwin", 112, 120900, 1714.7],
["Hobart", 1357, 205556, 619.5],
["Sydney", 2058, 4336374, 1214.8],
["Melbourne", 1566, 3806092, 646.9],
["Perth", 5386, 1554769, 869.4],
]
table.add(headers, rows).set_global_opts(title_opts=ComponentTitleOpts(
title="", title_style={"style": "font-size: 18px; font-weight:bold;"}))
return table
