def v_positions(self, date=yesterdayobj(), rendered=True):
"""
pie chart visualization of positions ratio in combination
"""
sdata = sorted(
[
(fob.name, fob.briefdailyreport(date).get("currentvalue", 0))
for fob in self.fundtradeobj
],
key=lambda x: x[1],
reverse=True,
)
pie = Pie()
pie.add(
series_name="总值占比",
data_pair=sdata,
label_opts=opts.LabelOpts(is_show=False, position="center"),
).set_global_opts(
legend_opts=opts.LegendOpts(
pos_left="left", type_="scroll", orient="vertical"
)
).set_series_opts(
tooltip_opts=opts.TooltipOpts(
trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)"
),
)
if rendered:
return pie.render_notebook()
else:
return pie
def v_positions(self, date=yesterdayobj(), vopts=None):
"""
pie chart visualization of positions ratio in combination
"""
sdata = sorted(
[(fob.aim.name, fob.briefdailyreport(date).get("currentvalue", 0))
for fob in self.fundtradeobj],
key=lambda x: x[1],
reverse=True,
)
pie = Pie()
if vopts is None:
vopts = pie_opts
pie.add(series_name="总值占比", data_pair=sdata)
pie.set_global_opts(**vopts)
return pie.render_notebook()
def v_category_positions(self, date=yesterdayobj(), rendered=True):
"""
资产分类扇形图，按大类资产求和绘制
:param date:
:param rendered: bool. default true for notebook, for plain pyechart obj to return, set rendered=False
:return:
"""
d = {}
for f in self.fundtradeobj:
if isinstance(f, itrade):
t = f.get_type()
if t == "场内基金":
t = get_fund_type(f.code[2:])
elif f.code == "mf":
t = "货币基金"
else:
t = get_fund_type(f.code)
if t == "其他":
logger.warning(
"%s has category others which should be double checked" % f.code
)
d[t] = d.get(t, 0) + f.briefdailyreport(date).get("currentvalue", 0)
sdata = sorted([(k, round(v, 2)) for k, v in d.items()])
pie = Pie()
pie.add(
series_name="总值占比",
data_pair=sdata,
label_opts=opts.LabelOpts(is_show=False, position="center"),
).set_global_opts(
legend_opts=opts.LegendOpts(
pos_left="left", type_="scroll", orient="vertical"
)
).set_series_opts(
tooltip_opts=opts.TooltipOpts(
trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)"
),
)
if rendered:
return pie.render_notebook()
else:
return pie
pie1.set_global_opts(title_opts=opts.TitleOpts(title='Rose chart example'),
legend_opts=opts.LegendOpts(is_show=False),
toolbox_opts=opts.ToolboxOpts())
# Set series configuration items
pie1.set_series_opts(label_opts=opts.LabelOpts(
is_show=True,
position="inside",
font_size=12,
formatter="{b}:{c}day",
font_style="italic",
font_weight="bold",
font_family="Microsoft YaHei"), )
# Generate html document
# pie1.render('nightingale rose. html ')
# Use magic command to display rose chart in notebook
pie1.render_notebook()
# 饼图
import random
from pyecharts import options as opts
from pyecharts.charts import Page, Pie
pie = (
Pie().add(
'鼠标选中分区后的tip',
[
list(z) for z in zip(
[
'20{}年第{}季'.format(year, season)
for year in [19, 20] # count 2
for season in range(1, 5)
] # count 2
a = df['name'].values.tolist()
b = df['dead'].values.tolist()
n = len(a)
rosechart = Pie(init_opts=opts.InitOpts(width='1350px', height='750px'))
color_series = np.random.random((n, 3))
# rosechart.set_colors(color_series)
# Add data, set the radius of pie chart, and show it as Nightingale chart or not
rosechart.add("", [list(z) for z in zip(a, b)],
radius=["5%", "95%"],
center=["30%", "60%"],
rosetype="area")
# Set global configuration item
rosechart.set_global_opts(title_opts=opts.TitleOpts(title='新冠肺炎各国累计死亡数 ' +
str(df['date'][0])),
legend_opts=opts.LegendOpts(is_show=False),
toolbox_opts=opts.ToolboxOpts())
# Set the serial configuration item to be labeled outside
rosechart.set_series_opts(
label_opts=opts.LabelOpts(
is_show=True,
position="outside", # inside, outside
font_size=14,
formatter="{b}:{c}",
font_style="italic",
font_weight="bold",
font_family="Microsoft YaHei"), )
rosechart.render('a.html')
rosechart.render_notebook()
# 高校数量前十名
pie = Pie()
pie.add("", [
list(z) for z in zip(data['name'].values.tolist()[:10],
data['counts'].values.tolist()[:10])
],
radius=["30%", "75%"],
center=["40%", "50%"],
rosetype="radius")
pie.set_global_opts(
title_opts=opts.TitleOpts(title="高校数量前十名"),
legend_opts=opts.LegendOpts(type_="scroll",
pos_left="80%",
orient="vertical"),
)
pie.render_notebook()
# 高校数量后十名
pie = Pie()
pie.add("", [
list(z) for z in zip(data['name'].values.tolist()[-10:],
data['counts'].values.tolist()[-10:])
],
radius=["30%", "75%"],
center=["40%", "50%"],
rosetype="radius")
pie.set_global_opts(
title_opts=opts.TitleOpts(title="高校数量后十名"),
legend_opts=opts.LegendOpts(type_="scroll",
pos_left="80%",
orient="vertical"),
