def theme_macarons(make_new, tag):
tl = Timeline(init_opts=opts.InitOpts(
theme=ThemeType.MACARONS)) # theme=ThemeType.PURPLE_PASSION
tl.add_schema(
pos_bottom='-7px',
is_auto_play=True,
symbol_size=[20, 20],
play_interval=2000,
)
for i in range(2015, 2020):
bar = Bar()
bar.add_xaxis(list(make_new.columns))
bar.add_yaxis("",
list(make_new.loc[i, :].values),
label_opts=opts.LabelOpts(is_show=False))
bar.set_colors([
random.choice([
'blue', 'rgba(100,255,0,0.8)', '#5793f3', '#007A99', 'yellow'
])
])
bar.set_global_opts(
xaxis_opts=opts.AxisOpts(name="", axislabel_opts={"rotate": 40}),
title_opts=opts.TitleOpts("{}-{}指数".format(i, tag)))
tl.add(bar, "{}年".format(str(i)))
return tl
def test_bar_colors(fake_writer):
c = Bar().add_xaxis(["A", "B", "C"]).add_yaxis("series0", [1, 2, 4])
c.set_colors(["#AABBCC", "#BBCCDD", "#CCDDEE"] + c.colors)
c.render()
_, content = fake_writer.call_args[0]
assert_in("#AABBCC", content)
assert_in("#BBCCDD", content)
assert_in("#CCDDEE", content)
def visualization(list_len):
bar = Bar()
bar.set_global_opts(title_opts=opts.TitleOpts(title="热搜情绪分析"))
bar.set_colors(colors="pink")
bar.add_xaxis(["<0.1", "<0.2", "<0.3", "<0.4", "<0.5", "<0.6", "<0.7", "<0.8", "<0.9", "<1"])
bar.add_yaxis("信息数量", list_len)
bar.render("./outPut/final.html")
time.sleep(3) # 给人一种运行起来贼麻烦的仪式感
print("\n\n[√]可视化页面生成完成！")
def dsp_her(): # 显示遗传力
# page = Page(layout=Page.DraggablePageLayout)
import xlrd
# file = "breeding.xlsx"
f1 = xlrd.open_workbook(file)
sheet1 = f1.sheet_by_name('Sheet1')
lst = her(file) # 接收计算的遗传力
y = []
colorArr = [
'1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
'F'
]
for i in range(len(lst)):
color = "#"
for j in range(6):
color += colorArr[random.randint(0, 14)]
y.append(
opts.BarItem(
value=lst[i],
itemstyle_opts=opts.ItemStyleOpts(color=str(color)),
# itemstyle_opts=opts.ItemStyleOpts(color=color[i])
))
x_ax = []
y_ax = []
start = load_profile()[0]
end = load_profile()[1]
for i in range(start, end + 1):
x_ax.append(sheet1.cell_value(0, i))
bar = Bar(init_opts=opts.InitOpts( #bg_color='rgba(155,250,205,0.2)',
width="1800px", height="800px"))
bar.set_colors(["#FF6347", "black"]) # FF6347
bar.add_xaxis(x_ax)
bar.add_yaxis("遗传力", y, category_gap="60%")
bar.set_series_opts(
label_opts=opts.LabelOpts(is_show=False),
markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(type_="max", name="最大值")]))
# bar.add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
bar.set_global_opts(title_opts=opts.TitleOpts(title="显示已有数据遗传力"))
for i in range(sheet1.nrows - 1):
y_ax.append(i)
line = Line(init_opts=opts.InitOpts(width="1800px", height="800px"))
line.add_xaxis(y_ax)
line.add_yaxis(series_name="",
y_axis=lst,
label_opts=opts.LabelOpts(is_show=True))
picture = bar.overlap(line)
return render_template("display.html",
picture_options=picture.dump_options())
def dsp_cbv(): # 显示综合育种值
import xlrd
# file = "breeding.xlsx"
f1 = xlrd.open_workbook(file)
sheet1 = f1.sheet_by_name('Sheet1')
lst = cbv(file)[0] # 接收计算的早选指数
y = []
colorArr = [
'1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
'F'
]
for i in range(len(lst)):
color = "#"
for j in range(6):
color += colorArr[random.randint(0, 14)]
y.append(
opts.BarItem(
value=lst[i],
itemstyle_opts=opts.ItemStyleOpts(color=str(color)),
# itemstyle_opts=opts.ItemStyleOpts(color=color[i])
))
x_ax = cbv(file)[1]
# y_ax = []
bar = Bar(init_opts=opts.InitOpts( #bg_color='rgba(255,250,205,0.2)',
width="1800px", height="800px"))
bar.set_colors(["#FF6347", "black"])
bar.add_xaxis(x_ax)
bar.add_yaxis("综合育种值", y, category_gap="80%")
bar.set_series_opts(
label_opts=opts.LabelOpts(is_show=False),
markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(type_="max", name="最大值")]))
# bar.add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
bar.set_global_opts(title_opts=opts.TitleOpts(title="显示已有数据综合育种值"))
# for i in range(sheet1.nrows-1):
# y_ax.append(i)
# line = Line(init_opts=opts.InitOpts(width="1800px", height="800px"))
# line.add_xaxis(y_ax)
# line.add_yaxis(series_name="", y_axis=lst, label_opts=opts.LabelOpts(is_show=True))
picture = bar
return render_template("display.html",
picture_options=picture.dump_options())
def get_education_background():
bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
bar.set_global_opts(title_opts=opts.TitleOpts(title="学历占比", ),
legend_opts=opts.LegendOpts(pos_left="20%"))
bar.add_xaxis(education)
value = []
for i in education:
where = {
'experience': {
'$regex': ".*" + i + ".*"
},
}
count = mongodb.get_count_by_where(where)
value.append(count)
bar.add_yaxis("要求学历招聘", value, bar_width=20)
bar.set_colors("blue")
return (bar)
def _create_bar():
bar = Bar().add_xaxis(["A", "B", "C"]).add_yaxis("series0", [1, 2, 4])
bar.set_colors(["#AABBCC", "#BBCCDD", "#CCDDEE"] + bar.colors)
return bar
