def calendar_plot(df):
"""[summary]
Parameters
----------
df : [type]
[description]
"""
#begin = datetime.date(2020, 2, 9)
#end = datetime.date(2020,11,11)
begin = df.Fecha.min()
end = df.Fecha.max()
c = (
Calendar(init_opts=opts.InitOpts(width="1000px", height="300px"))
.add(
series_name="",
yaxis_data=[[str(x),y] for x,y in zip(df.Fecha, df['Nuevos casos'])],
calendar_opts=opts.CalendarOpts(
pos_top="120",
pos_left="30",
pos_right="30",
range_="2020",
yearlabel_opts=opts.CalendarYearLabelOpts(is_show=False),
),
)
.set_global_opts(
title_opts=opts.TitleOpts(pos_top="20", pos_left="center", title="2020: Evolución del Covid19 en Andalucía"),
visualmap_opts=opts.VisualMapOpts(
max_=df['Nuevos casos'].max(), min_=0, orient="horizontal", is_piecewise=False
),
)
)
st_pyecharts(c)
def calendar_in_Chinese():
calendar = Calendar(
init_opts=opts.InitOpts(theme='light', width='1000px', height='600px'))
calendar.add(
'确证人数',
yaxis_data=data,
label_opts=opts.LabelOpts(is_show=True),
calendar_opts=opts.CalendarOpts(
# 日期范围
range_=['2020-01-21', '2020-04-30'],
# 日历单元格尺寸
cell_size=50,
# 年月日标签样式设置
# 星期和月份设置为中文显示，默认是英文
yearlabel_opts=opts.CalendarYearLabelOpts(margin=50),
daylabel_opts=opts.CalendarDayLabelOpts(name_map='cn'),
monthlabel_opts=opts.CalendarMonthLabelOpts(name_map='cn')))
# 设置视觉组件
calendar.set_global_opts(visualmap_opts=opts.VisualMapOpts(
max_=1000000,
is_piecewise=True,
pieces=[{
"min": 1000000
}, {
"min": 10000,
"max": 1000000
}, {
"min": 100,
"max": 10000
}, {
"max": 100
}],
range_color=["#CCD3D9", "#E6B6C2", "#D4587A", "#DC364C"]))
return calendar
def calendar_custom_cell():
calendar = Calendar(
init_opts=opts.InitOpts(theme='light', width='1000px', height='600px'))
calendar.add(
'确证人数',
yaxis_data=data,
label_opts=opts.LabelOpts(is_show=True),
calendar_opts=opts.CalendarOpts(
# 日历位置
pos_top='10%',
pos_left='10%',
# 日期范围
range_=['2020-01-21', '2020-04-30'],
# 日历单元格尺寸
cell_size=50,
# 年月日标签样式设置
yearlabel_opts=opts.CalendarYearLabelOpts(
margin=40,
label_font_size=20,
label_color='rgba(130,134,112,0.8)'),
daylabel_opts=opts.CalendarDayLabelOpts(label_color='#778633',
label_font_weight='bold'),
monthlabel_opts=opts.CalendarMonthLabelOpts(
label_color='#778633', label_font_weight='bold')))
# 设置视觉组件
calendar.set_global_opts(visualmap_opts=opts.VisualMapOpts(
max_=1000000,
is_piecewise=True,
pieces=[{
"min": 1000000
}, {
"min": 10000,
"max": 1000000
}, {
"min": 100,
"max": 10000
}, {
"max": 100
}],
range_color=["#CCD3D9", "#E6B6C2", "#D4587A", "#DC364C"]))
return calendar
time_list = date.split('-')
time = datetime.date(int(time_list[0]), int(time_list[1]),
int(time_list[2]))
list1.append([str(time), pm])
calendar = Calendar()
calendar.add(
'',
list1,
calendar_opts=opts.CalendarOpts(
pos_top="120",
pos_left="30",
pos_right="30",
range_="2017",
yearlabel_opts=opts.CalendarYearLabelOpts(is_show=False),
),
)
calendar.set_global_opts(
title_opts=opts.TitleOpts(pos_top="30",
pos_left="center",
title="2017年印度德里空气质量情况"),
visualmap_opts=opts.VisualMapOpts(max_=300,
min_=0,
orient="horizontal",
is_piecewise=False),
)
calendar.render('heatmap.html')
import random
import datetime
from pyecharts import options as opts
from pyecharts.charts import Calendar
begin = datetime.date(2017, 1, 1)
end = datetime.date(2017, 12, 31)
data = [[str(begin + datetime.timedelta(days=i)),
random.randint(1000, 25000)] for i in range((end - begin).days + 1)]
c = (Calendar(init_opts=opts.InitOpts(width="1000px", height="500px")).add(
series_name="",
yaxis_data=data,
calendar_opts=opts.CalendarOpts(
pos_top="120",
pos_left="30",
pos_right="30",
range_="2017",
yearlabel_opts=opts.CalendarYearLabelOpts(
is_show=False))).set_global_opts(
title_opts=opts.TitleOpts(pos_top="30",
pos_left="center",
title="2017年步数情况"),
visualmap_opts=opts.VisualMapOpts(
max_=20000,
min_=500,
orient="horizontal",
is_piecewise=False)).render("Calendar_heatmap.html"))
from pyecharts.charts import Calendar
begin = datetime.date(2018, 1, 1)
end = datetime.date(2019, 12, 31)
data = [[str(begin + datetime.timedelta(days=i)),
random.randint(1000, 25000)] for i in range((end - begin).days + 1)]
print(data)
c = (Calendar(init_opts=opts.InitOpts(width="1000px", height="500px")).add(
series_name="",
yaxis_data=data,
calendar_opts=opts.CalendarOpts(
pos_top="120",
pos_left="30",
pos_right="30",
range_=["2018-01-01", "2019-12-31"],
yearlabel_opts=opts.CalendarYearLabelOpts(is_show=True, margin=20),
daylabel_opts=opts.CalendarDayLabelOpts(name_map="cn"),
monthlabel_opts=opts.CalendarMonthLabelOpts(name_map="cn"),
),
).set_global_opts(
title_opts=opts.TitleOpts(pos_top="30",
pos_left="center",
title="2019年步数情况"),
visualmap_opts=opts.VisualMapOpts(max_=20000,
min_=500,
orient="horizontal",
is_piecewise=False),
).render("calendar_heatmap.html"))
# 漏斗图
from pyecharts.charts import Funnel
