def bar_graphic_component() -> Bar:
c = (Bar().add_xaxis(Faker.choose()).add_yaxis(
"商家A",
Faker.values()).add_yaxis("商家B", Faker.values()).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-Graphic 组件示例"),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=110,
bottom=110,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_shape_opts=opts.GraphicShapeOpts(
width=400, height=50),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text="pyecharts bar chart",
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.
GraphicBasicStyleOpts(fill="#fff"),
),
),
],
)
],
))
return c
def syz_mark():
"""私人标记"""
graphic_opts = [
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=80,
bottom=80,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=400, height=50
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"
),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text="云博",
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff"
),
),
),
],
)
]
return graphic_opts
def test_timeline_graphic(self):
self.tl.add_schema(graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=110,
bottom=110,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100),
graphic_shape_opts=opts.GraphicShapeOpts(width=400,
height=50),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text="pyecharts bar chart",
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff"),
),
),
],
)
])
assert_equal(
type(opts.GraphicGroup()),
type(
self.tl.options.get("baseOption").get("timeline").get(
"graphic")[0]),
)
def plot_timeline(df, data1 = 'Nuevos casos', data2 = 'Hospitalizados'):
"""[summary]
Parameters
----------
df : [type]
[description]
data1 : str, optional
[description], by default 'Nuevos casos'
data2 : str, optional
[description], by default 'Hospitalizados'
"""
tl = Timeline()
calendar_dict = {
1:'Ene',
2:'Feb',
3:'Mar',
4:'Abr',
5:'May',
6:'Jun',
7:'Jul',
8:'Ag',
9:'Sep',
10:'Oct',
11:'Nov',
12:'Dic'
}
for i in range(3, df.Mes.max()+1):
bar = (
Bar()
.add_xaxis(pd.unique(df.Territorio).tolist())
.add_yaxis(data1, df[df.Mes == i][data1].tolist())
.add_yaxis(data2, df[df.Mes == i][data2].tolist())
.set_global_opts(
title_opts=opts.TitleOpts("Covid19 mes a mes"),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=100,
bottom=110,
z=100,
),
)
],
)
)
tl.add(bar,calendar_dict[i])
st_pyecharts(tl)
def bar_graphic_image_with_js_component() -> Grid:
bar = (
Bar(init_opts=opts.InitOpts(chart_id="1234"))
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(
title_opts=opts.TitleOpts(title="Bar-Graphic Image（旋转功能）组件示例"),
graphic_opts=[
opts.GraphicImage(
graphic_item=opts.GraphicItem(
id_="logo",
right=20,
top=20,
z=-10,
bounding="raw",
origin=[75, 75],
),
graphic_imagestyle_opts=opts.GraphicImageStyleOpts(
image="http://echarts.baidu.com/images/favicon.png",
width=150,
height=150,
opacity=0.4,
),
)
],
)
)
c = (
Grid(init_opts=opts.InitOpts(chart_id="1234"))
.add(
chart=bar,
grid_opts=opts.GridOpts(pos_left="5%", pos_right="4%", pos_bottom="5%"),
)
.add_js_funcs(
"""
var rotation = 0;
setInterval(function () {
chart_1234.setOption({
graphic: {
id: 'logo',
rotation: (rotation += Math.PI / 360) % (Math.PI * 2)
}
});
}, 30);
"""
)
)
return c
def test_bar_graphic(fake_writer):
c = (Bar().add_xaxis(["A", "B", "C"]).add_yaxis(
"series0", [1, 2, 4]).set_global_opts(graphic_opts=[
opts.GraphicImage(
graphic_item=opts.GraphicItem(
id_="logo",
right=20,
top=20,
z=-10,
bounding="raw",
origin=[75, 75],
),
graphic_imagestyle_opts=opts.GraphicImageStyleOpts(
image="http://echarts.baidu.com/images/favicon.png",
width=150,
height=150,
opacity=0.4,
),
)
]))
c.render()
file_name, content = fake_writer.call_args[0]
eq_("render.html", file_name)
assert_in("graphic", content)
offset: 1,
color: 'rgba(0, 77, 167, 1)'
}
], false)
"""
),
"barBorderRadius": [30, 30, 30, 30],
"shadowColor": "rgb(0, 160, 221)"
}
}
}
GRAPH = {
"text": lambda x: opts.GraphicText(
graphic_item = opts.GraphicItem(
left="center",
top="center",
z=100
),
graphic_textstyle_opts = (
text=x,
font="bold 26px Microsoft Yahei",
graphic_basicstyle_opts=opts.GraphicBacisStyleOpts(
fill="#ffffff"
)
)
),
"rect": opts.GraphicRect(
graphic_item = opts.GraphicItem(
left="center",
top="center",
z=100
def grid_horizontal() -> Grid:
bar0 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
.add_xaxis(['高收入国家', '低收入国家', '中低等收入国家', '中高等收入国家'])
.add_yaxis("Income_Group", [high, low, middle_low, middle_high])
.set_global_opts(title_opts=opts.TitleOpts(title="Income_Group", subtitle="2019", pos_left="2%"),
legend_opts=opts.LegendOpts(pos_left="20%"))
)
bar = (
Bar()
.set_global_opts(
title_opts=opts.TitleOpts(title=""),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
# 控制整体的位置
left="52%",
top="7%",
),
children=[
# opts.GraphicRect控制方框的显示
# 如果不需要方框，去掉该段即可
opts.GraphicRect(
graphic_item=opts.GraphicItem(
z=100,
left="center",
top="middle",
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=415, height=440,
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff",
stroke="#555",
line_width=2,
shadow_blur=8,
shadow_offset_x=3,
shadow_offset_y=3,
shadow_color="rgba(0,0,0,0.3)",
)
),
# opts.GraphicText控制文字的显示
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="middle",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=JsCode(
"['世界银行是按人均国民总收入对世界各国经济发展水平进行分组。 ',"
"'通常把世界各国分成四组，',"
"'即低收入国家、中等偏下收入国家、',"
"'中等偏上收入国家和高收入国家。',"
"'但以上标准不是固定不变的，而是随着经济的发展不断进行调整。',"
"'中等偏下收入国家和中等偏上收入国家合称为中等收入国家。',"
"' ',"
"'按世界银行(World Bank)公布的数据，',"
"'2018年的最新收入分组标准为：',"
"'人均国民总收入低于995美元为低收入国家，',"
"'在996至3895美元之间为中等偏下收入国家，',"
"'在3896至12055元之间为中等偏上收入国家，',"
"'高于12055美元为高收入国家。',"
"' ',"
"'此图所统计的217个经济体中，',"
"'高收入国家79个，低收入国家31个，',"
"'中低等收入国家47个，中高等收入国家60个。',"
"'由此看出，',"
"'全球大多数国家收入水平都处于中等收入水平或者高收入水平，',"
"'只有少部分国家处于低收入水平。',"
"' ',"
"'美国、日本、英法德以及韩国等为高收入国家；',"
"'俄罗斯、巴西、中国、土耳其、马来西亚等',"
"'目前是中高等收入国家；',"
"'印度、巴基斯坦、越南、菲律宾等国为中低收入国家；',"
"'阿富汗、坦桑尼亚、柬埔寨、尼泊尔、埃塞俄比亚等',"
"'为低收入国家。'].join('\\n')"
),
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)
]
)
],
)
)
grid = (
Grid()
.add(bar, grid_opts=opts.GridOpts(pos_left="55%"))
.add(bar0, grid_opts=opts.GridOpts(pos_right="55%"))
)
return grid
from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.commons.utils import JsCode
from pyecharts.faker import Faker
c = (Bar().add_xaxis(Faker.choose()).add_yaxis(
"商家A", Faker.values()).add_yaxis("商家B", Faker.values()).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-Graphic Rect+Text 2 组件示例"),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(left="50%", top="15%"),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(z=100,
left="center",
top="middle"),
graphic_shape_opts=opts.GraphicShapeOpts(width=190,
height=90),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff",
stroke="#555",
line_width=2,
shadow_blur=8,
shadow_offset_x=3,
shadow_offset_y=3,
shadow_color="rgba(0,0,0,0.3)",
),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(left="center",
top="middle",
def find_correlation_render(attributes, data, pearsonr, query, table_path,
answer):
dimensions = len(attributes)
if dimensions == 2:
data[0] = list(map(str, data[0]))
data[1] = list(map(float, data[0]))
l1_1 = Scatter()
l1_1.add_xaxis(data[0])
l1_1.add_yaxis("", data[1])
l1_1.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(name=attributes[0]),
yaxis_opts=opts.AxisOpts(name=attributes[1]),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid.add(l1_1, grid_opts={'left': '15%', 'bottom': '34%'})
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
option = {"option": [option1], "query": query}
return option
elif dimensions == 3:
l1_1 = Scatter()
data[0] = list(map(str, data[0]))
data[1] = list(map(float, data[1]))
data[2] = list(map(float, data[2]))
l1_1.add_xaxis(data[0])
l1_1.add_yaxis("", data[1])
l1_1.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(
name=attributes[0],
axislabel_opts=opts.LabelOpts(rotate=50, interval=0),
grid_index=0,
),
yaxis_opts=opts.AxisOpts(
name=attributes[1],
grid_index=0,
),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
l1_2 = Scatter()
l1_2.add_xaxis(data[0])
l1_2.add_yaxis("", data[2])
l1_2.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(
name=attributes[0],
axislabel_opts=opts.LabelOpts(rotate=50, interval=0),
grid_index=1,
),
yaxis_opts=opts.AxisOpts(name=attributes[2], grid_index=1),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
data[1] = list(map(str, data[1]))
l2_1 = Scatter()
l2_1.add_xaxis(data[1])
l2_1.add_yaxis("", data[2])
l2_1.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(name=attributes[0],
axislabel_opts=opts.LabelOpts(rotate=50,
interval=0),
grid_index=2),
yaxis_opts=opts.AxisOpts(name=attributes[1], grid_index=2),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid.add(
chart=l1_1,
grid_opts=opts.GridOpts(pos_right="57%",
pos_bottom="20%",
pos_top="40%"),
grid_index=0,
)
grid.add(
chart=l1_2,
grid_opts=opts.GridOpts(pos_left="57%",
pos_bottom="20%",
pos_top="40%"),
grid_index=1,
)
grid.add(
chart=l2_1,
grid_opts=opts.GridOpts(pos_right="57%", pos_bottom="60%"),
grid_index=2,
)
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
option = {"option": [option1], "query": query}
return option
elif dimensions == 4:
data[0] = list(map(str, data[0]))
data[1] = list(map(float, data[1]))
data[2] = list(map(float, data[2]))
data[3] = list(map(float, data[3]))
l1_1 = Scatter()
l1_1.add_xaxis(data[0])
l1_1.add_yaxis("", data[1])
l1_1.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(
name=attributes[0],
axislabel_opts=opts.LabelOpts(rotate=50, interval=0),
grid_index=0,
),
yaxis_opts=opts.AxisOpts(
name=attributes[1],
grid_index=0,
),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
l1_2 = Scatter()
l1_2.add_xaxis(data[0])
l1_2.add_yaxis("", data[2])
l1_2.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(
name=attributes[0],
axislabel_opts=opts.LabelOpts(rotate=50, interval=0),
grid_index=1,
),
yaxis_opts=opts.AxisOpts(name=attributes[2], grid_index=1),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
l2_1 = Scatter()
l2_1.add_xaxis(data[0])
l2_1.add_yaxis("", data[3])
l2_1.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(name=attributes[0],
axislabel_opts=opts.LabelOpts(rotate=50,
interval=0),
grid_index=2),
yaxis_opts=opts.AxisOpts(name=attributes[3], grid_index=2),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
data[1] = list(map(str, data[1]))
l2_2 = Scatter()
l2_2.add_xaxis(data[1])
l2_2.add_yaxis("", data[2])
l2_2.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(name=attributes[1],
axislabel_opts=opts.LabelOpts(rotate=50,
interval=0),
grid_index=3),
yaxis_opts=opts.AxisOpts(name=attributes[2], grid_index=3),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid.add(
chart=l1_1,
grid_opts=opts.GridOpts(pos_right="57%",
pos_bottom="20%",
pos_top="40%"),
grid_index=0,
)
grid.add(
chart=l1_2,
grid_opts=opts.GridOpts(pos_left="57%",
pos_bottom="20%",
pos_top="40%"),
grid_index=1,
)
grid.add(
chart=l2_1,
grid_opts=opts.GridOpts(pos_right="57%", pos_bottom="60%"),
grid_index=2,
)
grid.add(
chart=l2_2,
grid_opts=opts.GridOpts(pos_left="57%", pos_bottom="60%"),
grid_index=3,
)
r1_1 = Scatter()
r1_1.add_xaxis(data[1])
r1_1.add_yaxis("", data[3])
r1_1.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(name=attributes[1],
axislabel_opts=opts.LabelOpts(rotate=50,
interval=0),
grid_index=0),
yaxis_opts=opts.AxisOpts(name=attributes[3], grid_index=0),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
data[2] = list(map(str, data[2]))
r1_2 = Scatter()
r1_2.add_xaxis(data[2])
r1_2.add_yaxis("", data[3])
r1_2.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(name=attributes[2],
axislabel_opts=opts.LabelOpts(rotate=50,
interval=0),
grid_index=1),
yaxis_opts=opts.AxisOpts(name=attributes[3], grid_index=1),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
grid1 = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid1.add(
chart=r1_1,
grid_opts=opts.GridOpts(pos_right="57%", pos_bottom="30%"),
grid_index=0,
)
grid1.add(
chart=r1_2,
grid_opts=opts.GridOpts(pos_left="57%", pos_bottom="30%"),
grid_index=1,
)
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
option2 = grid1.dump_options_with_quotes()
option2 = json.loads(option2)
option = {"option": [option1, option2], "query": query}
return option
def get_year_chart(data, all_data, year):
map_data = [[[x["name"], x["value"]] for x in d["data"]] for d in data
if d["time"] == year][0]
map_temp_data = [[[x["name"], x["value"][0]] for x in d["data"]]
for d in all_data if d["time"] == year][0]
min_data, max_data = (
min([d[1][0] for d in map_data]),
max([d[1][0] for d in map_data]),
)
#map = Map(init_opts=opts.InitOpts(width="1900px", height="900px", bg_color="#ADD8E6",page_title="4.15全球疫情确诊人数", theme="white"))
map_chart = (
Map().add(
maptype="world", #默认地图为中国地图，加上这个参数改成世界地图
series_name="",
data_pair=map_temp_data,
label_opts=opts.LabelOpts(is_show=False),
is_map_symbol_show=False,
itemstyle_opts={
"normal": {
"areaColor": "#323c48",
"borderColor": "#404a59"
},
"emphasis": {
"label": {
"show": Timeline
},
"areaColor": "rgba(255,255,255, 0.5)",
},
},
).set_global_opts(
title_opts=opts.TitleOpts(
title="世界各国现存确诊人数变化",
subtitle="确诊人数单位:例",
pos_left="center",
pos_top="top",
title_textstyle_opts=opts.TextStyleOpts(
font_size=25, color="rgba(255,255,255, 0.9)"),
),
tooltip_opts=opts.TooltipOpts(
is_show=True,
formatter=JsCode("""function(params) {
if ('value' in params.data) {
return params.data.value[2] + ': ' + params.data.value[0];
}
}"""),
),
visualmap_opts=opts.VisualMapOpts(
is_calculable=True,
dimension=0,
pos_left="10",
pos_top="center",
range_text=["High", "Low"],
range_color=["lightskyblue", "yellow", "orangered"],
textstyle_opts=opts.TextStyleOpts(color="#ddd"),
min_=min_data,
max_=max_data,
),
))
bar_x_data = [x[0] for x in map_data]
# 这里注释的部分会导致 label 和 value 与 饼图不一致
# 使用下面的 List[Dict] 就可以解决这个问题了。
# bar_y_data = [x[1][0] for x in map_data]
bar_y_data = [{"name": x[0], "value": x[1][0]} for x in map_data]
bar = (Bar().add_xaxis(xaxis_data=bar_x_data).add_yaxis(
series_name="",
yaxis_index=1,
y_axis=bar_y_data,
label_opts=opts.LabelOpts(is_show=True,
position="right",
formatter="{b}: {c}"),
).reversal_axis().set_global_opts(
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(is_show=False)),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(is_show=False)),
tooltip_opts=opts.TooltipOpts(is_show=False),
visualmap_opts=opts.VisualMapOpts(
is_calculable=True,
dimension=0,
pos_left="10",
pos_top="center",
range_text=["High", "Low"],
range_color=["lightskyblue", "yellow", "orangered"],
textstyle_opts=opts.TextStyleOpts(color="#ddd"),
min_=min_data,
max_=max_data,
),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=110,
bottom=110,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_shape_opts=opts.GraphicShapeOpts(width=400,
height=50),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text=f"{str(year)}",
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff"),
),
),
],
)
],
))
pie_data = [[x[0], x[1][0]] for x in map_data]
percent_sum = sum([x[1][1] for x in map_data])
rest_value = 0
for d in map_data:
rest_percent = 100.0
rest_percent = rest_percent - percent_sum
if d[1][1] != 0:
rest_value = d[1][0] * (rest_percent / d[1][1])
break
pie_data.append(["其他国家", rest_value])
pie = (Pie().add(
series_name="",
data_pair=pie_data,
radius=["12%", "20%"],
center=["75%", "85%"],
itemstyle_opts=opts.ItemStyleOpts(border_width=1,
border_color="rgba(0,0,0,0.3)"),
).set_global_opts(
tooltip_opts=opts.TooltipOpts(is_show=True, formatter="{b} {d}%"),
legend_opts=opts.LegendOpts(is_show=False),
))
grid_chart = (Grid().add(
bar,
grid_opts=opts.GridOpts(pos_left="10",
pos_right="45%",
pos_top="70%",
pos_bottom="5"),
).add(pie, grid_opts=opts.GridOpts()).add(map_chart,
grid_opts=opts.GridOpts()))
return grid_chart
def get_year_chart(date):
data = pd.read_csv('./china/{}.csv'.format(date))
df_clear = data.drop(data[(data['地区'] == '香港')].index)
df_clear1 = df_clear.drop(df_clear[df_clear['新增确诊'] == 0].index)
df_clear2 = df_clear.drop(df_clear[df_clear['现有确诊'] == 0].index)
name = list(df_clear['地区'])
nowConfirm = list(df_clear1['新增确诊'])
confirm = list(df_clear2['现有确诊'])
heal = list(df_clear['治愈'])
dead = list(df_clear['死亡'])
map_chart = (Map().add(
series_name="",
data_pair=[list(z) for z in zip(name, confirm)],
label_opts=opts.LabelOpts(is_show=False),
is_map_symbol_show=False,
).set_global_opts(
title_opts=opts.TitleOpts(
title="现有疫情和新增疫情",
subtitle="中国",
pos_left="center",
pos_top="top",
title_textstyle_opts=opts.TextStyleOpts(
font_size=25, color="rgba(255,255,255, 0.9)"),
),
tooltip_opts=opts.TooltipOpts(is_show=True, ),
visualmap_opts=opts.VisualMapOpts(
is_calculable=True,
dimension=0,
pos_left="10",
pos_top="center",
range_text=["高风险地区", "低风险地区"],
range_color=["lightskyblue", "yellow", "orangered"],
textstyle_opts=opts.TextStyleOpts(color="#ddd"),
min_=0,
max_=100,
),
))
bar = (Bar().add_xaxis(xaxis_data=name).add_yaxis(
series_name="",
yaxis_index=1,
y_axis=confirm,
label_opts=opts.LabelOpts(is_show=True,
position="right",
formatter="{b}: {c}"),
).reversal_axis().set_global_opts(
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(is_show=False)),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(is_show=False)),
tooltip_opts=opts.TooltipOpts(is_show=False),
visualmap_opts=opts.VisualMapOpts(
is_calculable=True,
dimension=0,
pos_left="10",
pos_top="center",
range_text=["高风险地区", "低风险地区"],
range_color=["lightskyblue", "yellow", "orangered"],
textstyle_opts=opts.TextStyleOpts(color="#ddd"),
min_=0,
max_=100,
),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
bounding="raw",
right=110,
bottom=11,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_shape_opts=opts.GraphicShapeOpts(width=400,
height=50),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text=date,
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff"),
),
),
],
)
],
))
pie = (Pie().add(
series_name="",
data_pair=[list(z) for z in zip(name, nowConfirm)],
radius=["12%", "20%"],
center=["75%", "85%"],
itemstyle_opts=opts.ItemStyleOpts(border_width=1,
border_color="rgba(0,0,0,0.3)"),
).set_global_opts(
tooltip_opts=opts.TooltipOpts(is_show=True, formatter="{b} {d}%"),
legend_opts=opts.LegendOpts(is_show=False),
))
grid_chart = (Grid().add(
bar,
grid_opts=opts.GridOpts(pos_left="10",
pos_right="45%",
pos_top="70%",
pos_bottom="5"),
).add(pie, grid_opts=opts.GridOpts()).add(map_chart,
grid_opts=opts.GridOpts()))
return grid_chart
def find_extremum_render(x,y,x_name,y_name,query,operator,answer):
x=list(map(str,x))
y=list(map(float,y))
makepoint=[]
makeline=[]
if operator=="MAX":
makepoint.append(opts.MarkPointItem(type_="max",value="max",itemstyle_opts=opts.ItemStyleOpts(opacity=0.6)))
makeline.append(opts.MarkPointItem(type_="max", value="max"))
else:
makepoint.append(opts.MarkPointItem(type_="min", value="min", itemstyle_opts=opts.ItemStyleOpts(opacity=0.6)))
makeline.append(opts.MarkPointItem(type_="min", value="min"))
line=Line()
line.add_xaxis(x)
line.add_yaxis(
y_name,
y_axis=y,
label_opts=opts.LabelOpts(is_show=False),
symbol_size='100%',
markpoint_opts=opts.MarkPointOpts(
data=makepoint,
symbol_size=50,
label_opts=opts.LabelOpts(formatter=operator)
),
markline_opts=opts.MarkLineOpts(
data=makeline,
label_opts=opts.LabelOpts(formatter=operator+":{c}")
)
)
line.set_global_opts(
datazoom_opts=[opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")],
yaxis_opts=opts.AxisOpts(min_=int(min(y)-(max(y)-min(y))/10),name=y_name,axislabel_opts=opts.LabelOpts(font_size="100%"),name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
legend_opts=opts.LegendOpts(is_show=False),
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=40,font_size='100%'),name=x_name,name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
graphic_opts=[opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=['\n' + "Q:" + ' ' + query + '\n' +"\n"+ 'A:' + ' ' + answer],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)]
)
grid = Grid( init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer= globals.RenderType.SVG,
))
grid.add(line, grid_opts={'left':'20%','bottom':'34%'})
# grid1=Grid()
# grid1.add(line, grid_opts={'left':'20%','bottom':'34%'})
# grid1.render("MAX.html")
option1=grid.dump_options_with_quotes()
option1=json.loads(option1)
option={"option":[option1],"query":query}
return option
def bar_base() -> Line:
bar = (
Bar()
.set_global_opts(
title_opts=opts.TitleOpts(title=""),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
# 控制整体的位置
left="5%",
top="10%",
),
children=[
# opts.GraphicRect控制方框的显示
# 如果不需要方框，去掉该段即可
opts.GraphicRect(
graphic_item=opts.GraphicItem(
z=100,
left="center",
top="middle",
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=800, height=400,
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff",
stroke="#555",
line_width=2,
shadow_blur=8,
shadow_offset_x=3,
shadow_offset_y=3,
shadow_color="rgba(0,0,0,0.3)",
)
),
# opts.GraphicText控制文字的显示
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="middle",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=JsCode(
"['根据世界银行(World Bank)统计数据， ',"
"' ',"
"'亚洲地区在近十几年来，有着越来越多的国家增加高科技的出口，并且大体上呈现逐年增加的趋势。',"
"' ',"
"' ',"
"'欧洲地区，随着大多数经济体的衰落或者停滞不前，',"
"' ',"
"'欧洲各地的高科技出口都难以取得进展，但仍然处于世界高科技出口的中上行列。',"
"' ',"
"' ',"
"'北美洲，得益于美国加拿大等强国，一直都保持的稳定的高科技出口。',"
"' ',"
"' ',"
"'南美洲，在金融危机之后，开始出现了高科技出口，并且也是大体上呈现高科技出口国家逐年增加的趋势；',"
"' ',"
"' ',"
"'非洲地区是目前世界上高科技出口水平较弱的地区，近十几年来无明显变化趋势，处于世界高科技出口的下游，水平有待加强。',"
"' ',"
"' ',"
"'说明经济的不确定性对世界的发展状况息息相关，国际政治格局和贸易关系迅速变化导致全球市场高度不确定，',"
"' ',"
"'在这样的十几年里，制度的质量似乎是促进繁荣的重要因素。',"
"' ',"
"'强有力的制度框架为企业投资和创新提供了稳定性，确保了公民更高的生活质量。'].join('\\n')"
),
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)
]
)
],
)
)
return bar
def bmap_custom() -> BMap:
with open(
os.path.join("fixtures", "bmap-custom-data.json"), "r", encoding="utf-8"
) as f:
j = json.load(f)
color_list = ["#070093", "#1c3fbf", "#1482e5", "#70b4eb", "#b4e0f3", "#ffffff"]
c = (
BMap()
.add_schema(
baidu_ak=BAIDU_MAP_AK,
center=[116.46, 39.92],
zoom=11.8,
is_roam=True,
map_style={
"styleJson": [
{
"featureType": "water",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "land",
"elementType": "all",
"stylers": {"color": "#f3f3f3"},
},
{
"featureType": "railway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "highway",
"elementType": "all",
"stylers": {"color": "#999999"},
},
{
"featureType": "highway",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "arterial",
"elementType": "geometry",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "arterial",
"elementType": "geometry.fill",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "poi",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "green",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "subway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "manmade",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "local",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "arterial",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "boundary",
"elementType": "all",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "building",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "label",
"elementType": "labels.text.fill",
"stylers": {"color": "rgba(0,0,0,0)"},
},
]
},
)
.add_js_funcs(
"""
var lngExtent = [39.5, 40.6];
var latExtent = [115.9, 116.8];
var cellCount = [50, 50];
var cellSizeCoord = [
(lngExtent[1] - lngExtent[0]) / cellCount[0],
(latExtent[1] - latExtent[0]) / cellCount[1]
];
var gapSize = 0;
function renderItem(params, api) {
var lngIndex = api.value(0);
var latIndex = api.value(1);
var pointLeftTop = getCoord(params, api, lngIndex, latIndex);
var pointRightBottom = getCoord(params, api, lngIndex + 1, latIndex + 1);
return {
type: 'rect',
shape: {
x: pointLeftTop[0],
y: pointLeftTop[1],
width: pointRightBottom[0] - pointLeftTop[0],
height: pointRightBottom[1] - pointLeftTop[1]
},
style: api.style({
stroke: 'rgba(0,0,0,0.1)'
}),
styleEmphasis: api.styleEmphasis()
};
}
function getCoord(params, api, lngIndex, latIndex) {
var coords = params.context.coords || (params.context.coords = []);
var key = lngIndex + '-' + latIndex;
return coords[key] || (coords[key] = api.coord([
+(latExtent[0] + lngIndex * cellSizeCoord[0]).toFixed(6),
+(lngExtent[0] + latIndex * cellSizeCoord[1]).toFixed(6)
]));
}
"""
)
.add(
series_name="",
data_pair=j["data"],
type_=ChartType.CUSTOM,
render_item=JsCode("renderItem"),
itemstyle_opts=opts.ItemStyleOpts(color="yellow"),
encode={"tooltip": 2},
)
.set_global_opts(
title_opts=opts.TitleOpts(title="BMap-Custom 图"),
tooltip_opts=opts.TooltipOpts(is_show=True, formatter=None),
visualmap_opts=opts.VisualMapOpts(
is_piecewise=True,
pos_top="10",
pos_left="10",
is_inverse=True,
pieces=[
{"value": i, "color": color_list[i]} for i in range(len(color_list))
],
dimension=2,
border_color="#ccc",
border_width=2,
background_color="#eee",
range_opacity=0.7,
),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=110,
bottom=110,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=400, height=50
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"
),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text="Made by pyecharts",
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff"
),
),
),
],
)
],
)
)
return c
axislabel_opts=opts.LabelOpts(
is_show=True, # 显示标签
position='top', # 标签位置
formatter='{value}', # 轴上的数值显示
)),
# 设置提示框的类型
tooltip_opts=opts.TooltipOpts(
trigger='axis', # 进入坐标轴，就触发提示框
trigger_on='mousemove|click', # 点击或者鼠标移动都触发提示
axis_pointer_type='cross', # 指示器类型， cross ---十字准星
),
# 文本设置 ---借助原生组件元素设置
graphic_opts=opts.GraphicGroup(
# 控制文本相对于整体的位置
graphic_item=opts.GraphicItem(
#
left='80%',
top='45%'),
# 设置文本
children=[
# # 设置文本框
# opts.GraphicRect(
#
# ),
# 设置文本
opts.GraphicText(
# 配置的文本相对于 --->文本框的位置
graphic_item=opts.GraphicItem(
left='center', # 文本相对于文本框的左位置
top='middle', # 文本相对文本框的上位置
z=100, # 字在文本框的z轴方向100的位置
scale=[1.3, 1.5], # [横向缩放的倍数, 纵向缩放的倍数]
def find_proportion_render(x, y, z, part_name, main_name, query, table_path,
answer):
x = list(map(str, x))
y = list(map(float, y))
z = list(map(float, z))
colorList = ['#f36c6c', '#e6cf4e', '#20d180', '#0093ff']
y_part = []
y_main = []
for i in range(len(y)):
percentage = y[i] / z[i] * 100
percentage = str(percentage).split('.')[0] + '.' + str(
percentage).split('.')[1][:2]
y_part.append(
opts.BarItem(
name=x[i],
value=y[i],
label_opts=opts.LabelOpts(position="insideTop",
formatter=str(percentage) + "%"),
itemstyle_opts=opts.ItemStyleOpts(color=colorList[2])))
y_main.append(opts.BarItem(
name=x[i],
value=z[i] - y[i],
))
bar = Bar()
bar.add_xaxis(x)
bar.add_yaxis('',
y_axis=y_part,
stack='stack1',
label_opts=opts.LabelOpts(position="insideTop"),
itemstyle_opts=opts.ItemStyleOpts(color=colorList[2]),
tooltip_opts=opts.TooltipOpts(formatter=part_name + ':{c}')),
bar.add_yaxis('',
y_axis=y_main,
stack='stack1',
label_opts=opts.LabelOpts(is_show=False),
color="gray",
tooltip_opts=opts.TooltipOpts(formatter=main_name + ':{c}'))
bar.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
legend_opts=opts.LegendOpts(is_show=False),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' + answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
bar.render("aggregation.html")
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid.add(bar, grid_opts={'left': '20%', 'bottom': '34%'})
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
option = {"option": [option1], "query": query}
return option
def find_aggregation_render(x, y, flag, query, table_path, answer, y_name):
colorList = ['#f36c6c', '#e6cf4e', '#20d180', '#0093ff']
x_sum = ["Sum"]
Sum = []
Sum.append(sum(y))
mean = np.mean(y)
y1 = []
y2 = []
for i in range(len(y)):
if y[i] >= mean:
y1.append(round(mean, 2))
y2.append(
opts.BarItem(name=x[i],
value=round(y[i] - mean, 2),
label_opts=opts.LabelOpts(formatter="+{c}"),
itemstyle_opts=opts.ItemStyleOpts(color="red")))
else:
y1.append(round(y[i], 2))
y2.append(
opts.BarItem(name=x[i],
value=round(mean - y[i], 2),
label_opts=opts.LabelOpts(formatter="-{c}"),
itemstyle_opts=opts.ItemStyleOpts(color="green",
opacity=0.3)))
if flag == "mean":
bar = Bar()
bar.add_xaxis(x)
bar.add_yaxis(
'',
y_axis=y1,
stack='stack1',
label_opts=opts.LabelOpts(is_show=False),
color="white",
markline_opts=opts.MarkLineOpts(
data=[opts.MarkLineItem(name="mean:", y=round(mean, 2))],
label_opts=opts.LabelOpts(formatter="Mean:{c}", color="black"),
linestyle_opts=opts.LineStyleOpts(color="gray")),
)
bar.add_yaxis('', y_axis=y2, stack='stack1')
bar.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")
],
xaxis_opts=opts.AxisOpts(
axislabel_opts=opts.LabelOpts(rotate=40, font_size='100%'),
name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
yaxis_opts=opts.AxisOpts(
min_=int(min(y) - (max(y) - min(y)) / 10),
name=y_name,
axislabel_opts=opts.LabelOpts(font_size="100%"),
name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + "\n" + 'A:' +
' ' + answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
bar.render("aggregation.html")
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid.add(bar, grid_opts={'left': '15%', 'bottom': '34%'})
grid1 = Grid()
grid1.add(bar, grid_opts={'left': '15%', 'bottom': '34%'})
grid1.render("mean.html")
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
option = {"option": [option1], "query": query}
return option
elif flag == "sum":
bar = Bar()
bar.add_xaxis(x_sum)
bar.add_yaxis('',
Sum,
label_opts=opts.LabelOpts(position="inside",
formatter="Sum:{c}"),
color=colorList[0])
for i in range(len(y)):
Y = []
Y.append(y[i])
r = str(x[i])
bar.add_yaxis('',
Y,
stack='stack1',
label_opts=opts.LabelOpts(position="inside",
formatter=r + ":{c}"),
tooltip_opts=opts.TooltipOpts(is_show=False))
bar.set_global_opts(
datazoom_opts=[
opts.DataZoomOpts(range_start=10,
range_end=90,
orient="vertical"),
opts.DataZoomOpts(type_="inside")
],
graphic_opts=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=[
'\n' + "Q:" + ' ' + query + '\n' + 'A:' + ' ' +
answer
],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid.add(bar, grid_opts={'left': '15%', 'bottom': '34%'})
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
option = {"option": [option1], "query": query}
return option
max_=30000,
# 轴线的配置
axisline_opts=opts.AxisLineOpts(
is_show=True,
# 轴线风格
linestyle_opts=opts.LineStyleOpts(color='#fd5956')),
# 轴线对应标签的数据 {value} 数据
axislabel_opts=opts.LabelOpts(formatter='{value}')),
# 插入文本框
graphic_opts=opts.GraphicGroup(
# 图形配置
graphic_item=opts.GraphicItem(
# 控制整体的位置
left='75%',
top='45%',
),
children=[
# GraphicRect控制方框的显示
# opts.GraphicRect(
# graphic_item=opts.GraphicItem(
# z=100, # 文本的高度
# left='center',
# top='middle',
# ),
# graphic_shape_opts=opts.GraphicShapeOpts(
# width=420, # 宽度
# height=180, # 高度
# ),
# graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
c = (
Bar().add_xaxis(Faker.choose()).add_yaxis("商家A", Faker.values()).
add_yaxis("商家B", Faker.values()).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-Graphic 组件示例"),
#组件配置
graphic_opts=[
#原生组件配置
opts.GraphicGroup(
# 图形的配置项
#原生图形配置项
graphic_item=opts.GraphicItem(
#旋转（rotation）：默认值是 0。表示旋转的弧度值。正值表示逆时针旋转
rotation=JsCode("Math.PI / 4"),
# 决定此图形元素在定位时，对自身的包围盒计算方式
bounding="raw",
#描述怎么根据父元素进行定位。
right=110,
bottom=110,
z=100,
),
children=[
#原生图形矩形配置项
opts.GraphicRect(
#graphic_item：图形的配置项
#GraphicItem：原生图形配置项
graphic_item=opts.GraphicItem(
#left：描述怎么根据父元素进行定位。 top ：配置和 left 及 right 相同 z 方向的高度，决定层叠关系。
left="center",
top="center",
z=100),
# 图形的形状配置项，
def draw_rose_piture(self,my_rose_data):
total_position = 0
for x in my_rose_data:
total_position = total_position + x[1]
#print(total_position)
if os.path.isfile('pie_rosetype.html'):
os.remove('.\pie_rosetype.html')
c = (
Pie()
.add(
"",
my_rose_data,
radius=["30%", "75%"],
#center=["25%", "50%"],
rosetype="radius",
#label_opts=opts.LabelOpts(is_show=False),
)
#.add(
# "",
# my_rose_data,
# radius=["30%", "75%"],
# center=["75%", "50%"],
# rosetype="area",
#)
.set_global_opts(
title_opts=opts.TitleOpts(title="Positions",pos_left="8%",pos_top="8%"),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
# 控制整体的位置
right="15%",
bottom="5%",
),
children=[
# opts.GraphicRect控制方框的显示
# 如果不需要方框，去掉该段即可
#opts.GraphicRect(
# graphic_item=opts.GraphicItem(
# z=100,
# right="center",
# bottom="middle",
# ),
# graphic_shape_opts=opts.GraphicShapeOpts(
# width=120, height=70,
# ),
# graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
# fill="#fff",
# stroke="#555",
# line_width=2,
# shadow_blur=8,
# shadow_offset_x=3,
# shadow_offset_y=3,
# shadow_color="rgba(144,238,144,0.3)",
# )
#),
# opts.GraphicText控制文字的显示
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="middle",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text="Total:"+str(total_position)+"%",
font="bolder 21px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#C537B6"
)
)
)
]
)
]
)
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b} {c}%"))
.render("pie_rosetype.html")
)
def line_base() -> Line:
bar = (
Bar()
.set_global_opts(
title_opts=opts.TitleOpts(title=""),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
# 控制整体的位置
left="5%",
top="10%",
),
children=[
# opts.GraphicRect控制方框的显示
# 如果不需要方框，去掉该段即可
opts.GraphicRect(
graphic_item=opts.GraphicItem(
z=100,
left="center",
top="middle",
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=800, height=400,
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff",
stroke="#555",
line_width=2,
shadow_blur=8,
shadow_offset_x=3,
shadow_offset_y=3,
shadow_color="rgba(0,0,0,0.3)",
)
),
# opts.GraphicText控制文字的显示
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="middle",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=JsCode(
"['根据世界银行(World Bank)统计数据: ',"
"' ',"
"'2007-2009年中，新加坡、马耳他、冰岛以及哥斯达黎加等国，位列世界高科技出口的前列，高科技出口数量远超其他国家。',"
"' ',"
"' ',"
"'2010-2014年中，随着各国家的发展，越来越多的国家开始出口高科技，比如马来西亚，格陵兰岛，尼日尔、哈萨克斯坦等国家，',"
"' ',"
"'开始增加自己的高科技出口，在世界高科技出口中开始崭露头角。',"
"' ',"
"' ',"
"'2015-2018年中，高科技出口的前列国家变化很大，有塞舌尔，阿拉伯联合酋长国，百慕大群岛等国的昙花一现，',"
"' ',"
"'也有帕劳共和国以及菲律宾等国经久不衰，世界高科技出口的国家朝着多极化方向发展。',"
"' ',"
"' ',"
"'表明近十几年来，世界各国都认识到了高科技出口的重要性，',"
"' ',"
"' ',"
"'开始利用先进的技术基础设施、商业政策环境以及获得商业融资渠道的便利性等因素，',"
"' ',"
"'出口本国的高科技产品，以增加国家在世界上的竞争力。'].join('\\n')"
),
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)
]
)
],
)
)
return bar
from pyecharts import options as opts
from pyecharts.charts import Bar, Grid
from pyecharts.faker import Faker
bar = (Bar(init_opts=opts.InitOpts(chart_id="1234")).add_xaxis(Faker.choose(
)).add_yaxis("商家A", Faker.values()).add_yaxis(
"商家B", Faker.values()).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-Graphic Image（旋转功能）组件示例"),
graphic_opts=[
opts.GraphicImage(
graphic_item=opts.GraphicItem(id_="logo",
right=20,
top=20,
z=-10,
bounding="raw",
origin=[75, 75]),
graphic_imagestyle_opts=opts.GraphicImageStyleOpts(
image="https://www.echartsjs.com/zh/images/favicon.png",
width=150,
height=150,
opacity=0.4,
),
)
],
))
c = (Grid(init_opts=opts.InitOpts(chart_id="1234")).add(
chart=bar,
grid_opts=opts.GridOpts(pos_left="5%", pos_right="4%", pos_bottom="5%"),
).add_js_funcs("""
var rotation = 0;
setInterval(function () {
def grid_horizontal1() -> Grid:
bar1 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
.add_xaxis(['南亚', '撒哈拉以南非洲地区（不包括高收入）', '欧洲与中亚地区（不包括高收入）',
'拉丁美洲与加勒比海地区（不包括高收入）', '东亚与太平洋地区（不包括高收入）', '中东与北非地区（不包括高收入）'])
.add_yaxis("Region",
[Region.count('南亚'),
Region.count('撒哈拉以南非洲地区（不包括高收入）'),
Region.count('欧洲与中亚地区（不包括高收入）'),
Region.count('拉丁美洲与加勒比海地区（不包括高收入）'),
Region.count('东亚与太平洋地区（不包括高收入）'),
Region.count('中东与北非地区（不包括高收入）')])
.set_global_opts(title_opts=opts.TitleOpts(title="Region", subtitle="2019", pos_left="2%"),
legend_opts=opts.LegendOpts(pos_left="20%"))
)
bar = (
Bar()
.set_global_opts(
title_opts=opts.TitleOpts(title=""),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
# 控制整体的位置
left="52%",
top="7%",
),
children=[
# opts.GraphicRect控制方框的显示
# 如果不需要方框，去掉该段即可
opts.GraphicRect(
graphic_item=opts.GraphicItem(
z=100,
left="center",
top="middle",
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=400, height=440,
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff",
stroke="#555",
line_width=2,
shadow_blur=8,
shadow_offset_x=3,
shadow_offset_y=3,
shadow_color="rgba(0,0,0,0.3)",
)
),
# opts.GraphicText控制文字的显示
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="middle",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=JsCode(
"['根据世界银行(World Bank)统计数据， ',"
"'南亚有8个国家、',"
"'撒哈拉以南非洲地区有48个国家、',"
"'欧洲与中亚地区有58个国家、',"
"'拉丁美洲与加勒比海地区有42个国家、',"
"'东亚与太平洋地区有37个国家、',"
"'中东与北非地区有21个国家。',"
"' ',"
"'此图除去了世界高收入国家，',"
"'南亚8个国家、撒哈拉以南非洲地区47个国家、',"
"'欧洲与中亚地区有21个国家、',"
"'拉丁美洲与加勒比海地区有25个国家、',"
"'东亚与太平洋地区有24个国家、',"
"'中东与北非地区有13个国家不属于高收入国家。',"
"' ',"
"'各地区高收入国家占比分别为（四舍五入取整）：',"
"'南亚0%、撒哈拉以南非洲地区98%、',"
"'欧洲与中亚地区36%、',"
"'拉丁美洲与加勒比海地区60%、',"
"'东亚与太平洋地区65%、',"
"'中东与北非地区62%',"
"' ',"
"'收入与生活水平有一定联系。',"
"'就各地区高收入国家占比，',"
"'可对各地区生活水平做出以下排序（高到低）：',"
"'撒哈拉以南非洲地区>东亚与太平洋地区>',"
"'中东与北非地区>拉丁美洲与加勒比海地区>',"
"'欧洲与中亚地区>南亚'].join('\\n')"
),
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)
]
)
],
)
)
grid1 = (
Grid()
.add(bar, grid_opts=opts.GridOpts(pos_left="55%"))
.add(bar1, grid_opts=opts.GridOpts(pos_right="55%"))
)
return grid1
def line_render_qimai(self):
c = Line(init_opts=opts.InitOpts(width="1200px", height="400px"))
# c = Line()
c.add_xaxis(self.x_value)
c.add_yaxis(
series_name=self.y_name,
y_axis=self.y_value,
is_symbol_show=self.is_symbol_show, # 线上不用点标记
color=self.color_list[0],
linestyle_opts=opts.LineStyleOpts(width=self.line_width), # 线条加粗
label_opts=opts.LabelOpts(is_show=self.is_show))
c.set_global_opts(
title_opts=opts.TitleOpts(
title=self.title,
pos_top="2%", # 距离顶层2%
pos_left="center",
title_textstyle_opts=opts.TextStyleOpts(
color="#666",
font_size=16,
font_weight='normal',
font_family='Microsoft YaHei'),
),
tooltip_opts=opts.TooltipOpts(trigger="axis"),
# legend_opts=opts.LegendOpts(pos_left="center", pos_top=self.pos_top, legend_icon='circle'),
legend_opts=opts.LegendOpts(pos_left="center",
pos_top='bottom',
legend_icon='circle'),
yaxis_opts=opts.AxisOpts(
type_="value",
max_=self.y_max,
min_=self.y_min,
is_inverse=self.y_is_inverse, # 反向Y轴；
boundary_gap=self.boundary_gap, # 封闭坐标轴，左右都有顶上的刻度线；
axislabel_opts=opts.LabelOpts(color="#7D7D7D"),
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(width=1.5,
color="#A0A7B3")),
axistick_opts=opts.AxisTickOpts(is_show=True, is_inside=True),
splitline_opts=opts.SplitLineOpts(
is_show=True,
linestyle_opts=opts.LineStyleOpts(
color="#E2E2E2")), # 设置网格线；
),
xaxis_opts=opts.AxisOpts(
type_="category",
min_=self.x_min,
boundary_gap=self.boundary_gap,
is_inverse=self.x_is_inverse, # 反向X轴；
axislabel_opts=opts.LabelOpts(color="#7D7D7D"),
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(width=1.5,
color="#A0A7B3")),
axistick_opts=opts.AxisTickOpts(is_show=True, is_inside=True),
splitline_opts=opts.SplitLineOpts(
is_show=True,
linestyle_opts=opts.LineStyleOpts(color="#E2E2E2")),
),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 500"),
bounding="raw",
right=700,
bottom=150,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_shape_opts=opts.GraphicShapeOpts(
width=400, height=50),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0)"),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text="七麦数据",
# font="bold 26px Microsoft YaHei",
font="26px Microsoft YaHei",
graphic_basicstyle_opts=opts.
GraphicBasicStyleOpts(fill="#D5D5D5"),
),
),
],
)
],
# 下方为图片水印代码；
# graphic_opts=[
# opts.GraphicImage(
# graphic_item=opts.GraphicItem(
# id_="logo",
# left='142',
# z='10',
# # 距离上边界距离
# top='340',
# # 负数则显示在图表下层
# z_level=-1
# ),
# graphic_imagestyle_opts=opts.GraphicImageStyleOpts(
# # 指定图片地址，最好选用png
# image="https://tva1.sinaimg.cn/large/008eGmZEly1gmfcjqkwrkj302q00mq2q.jpg",
# # 长设置
# width=100,
# height=23,
# opacity=1,
# ),
# ),
# ]
)
# 插入其他y线条；
if len(self.args) > 0:
for num in range(len(self.args[0])):
if num + 1 > len(self.color_list) - 1:
color_str = ''
else:
color_str = self.color_list[num + 1]
c.add_yaxis(
series_name=self.args[0][num],
y_axis=self.args[1][num],
is_symbol_show=self.is_symbol_show, # 线上不用点标记
color=color_str,
linestyle_opts=opts.LineStyleOpts(
width=self.line_width), # 线条加粗
label_opts=opts.LabelOpts(is_show=self.is_show),
)
self.c_render = c
return c
legend_opts=opts.LegendOpts(pos_top="5%",
is_show=True))
wc_tl = Timeline(init_opts=opts.InitOpts(width="1200px", height="600px"))
idx = 0
for date, tmp_data in wc_data:
wc = WordCloud()
wc.add(series_name="", data_pair=tmp_data)
wc.set_global_opts(
title_opts=opts.TitleOpts(title="词频统计",
pos_top="top",
pos_left="center"),
tooltip_opts=opts.TooltipOpts(is_show=True),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(right="0%", top="0%"),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(z=500,
left="center",
top="middle"),
graphic_shape_opts=opts.GraphicShapeOpts(
width=280, height=130),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)",
#stroke="#555",
line_width=2,
shadow_blur=8,
shadow_offset_x=3,
shadow_offset_y=3,
shadow_color="rgba(0,0,0,0.3)",
from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.commons.utils import JsCode
from pyecharts.faker import Faker
c = (Bar().add_xaxis(Faker.choose()).add_yaxis(
"商家A", Faker.values()).add_yaxis("商家B", Faker.values()).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-Graphic Rect+Text 1 组件示例"),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=110,
bottom=110,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
graphic_shape_opts=opts.GraphicShapeOpts(width=400,
height=50),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(left="center",
top="center",
z=100),
def find_distribution_render(x,Y,x_name,query,table_path,answer):
Max=0
y=[]
data=[]
label=[]
boxplot = Boxplot()
boxplot.add_xaxis(xaxis_data=label)
for i in range(len(Y)):
data.append(Y[i][1])
label.append(Y[i][0])
# boxplot.add_yaxis(series_name=Y[i][0],y_axis=boxplot.prepare_data(data))
for j in Y[i][1]:
y.append(j)
boxplot.add_yaxis(series_name="", y_axis=boxplot.prepare_data(data))
boxplot.set_global_opts(
yaxis_opts=opts.AxisOpts(name="Distribution",axislabel_opts=opts.LabelOpts(font_size="100%"),name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
legend_opts=opts.LegendOpts(is_show=False),
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=40,interval=0,font_size='100%'),name="Category",name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
graphic_opts=[opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
z=100,
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=['\n' + "Q:" + ' ' + query + '\n'+"\n" + 'A:' + ' ' + answer],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)]
)
bar=Bar({"theme": ThemeType.MACARONS})
bar.add_xaxis(xaxis_data=x)
for i in range(len(Y)):
max_index, max_number = max(enumerate(Y[i][1]), key=operator.itemgetter(1))
min_index, min_number = min(enumerate(Y[i][1]), key=operator.itemgetter(1))
if max_number>Max:
Max=max_number
bar.add_yaxis(Y[i][0],label_opts=opts.LabelOpts(is_show=False),y_axis=Y[i][1],markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(coord=[max_index,max_number*1.01],value="MAX",name="最大值",itemstyle_opts=opts.ItemStyleOpts(opacity=0.6)),opts.MarkPointItem(coord=[min_index,min_number*1.05],value="MIN",name="最小值",itemstyle_opts=opts.ItemStyleOpts(opacity=0.6))]
),
markline_opts=opts.MarkLineOpts(
data=[opts.MarkLineItem(type_="average",name="平均值")]
))
bar.set_global_opts(
datazoom_opts=[opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")],
yaxis_opts=opts.AxisOpts( axislabel_opts=opts.LabelOpts(font_size="100%"),
name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=40, interval=0, font_size='100%'),
name=x_name, name_textstyle_opts=opts.TextStyleOpts(font_size="100%")),
graphic_opts=[opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=['\n' + "Q:" + ' ' + query + '\n' + "\n"+'A:' + ' ' + answer],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)]
)
grid = Grid( init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer= globals.RenderType.SVG,))
grid.add(boxplot, grid_opts={'left':'20%','bottom':'34%'})
grid1 = Grid( init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer= globals.RenderType.SVG,))
grid1.add(bar,grid_opts={'left':'20%','bottom':'34%'})
option1=grid.dump_options_with_quotes()
option1=json.loads(option1)
option2=grid1.dump_options_with_quotes()
option2=json.loads(option2)
option={"option":[option1,option2],"query":query}
return option
def TREND_render(x,y,z,y_up,y_down,max_index,min_index,x_name,y_name,query,answer):
x=list(map(str,x))
y=list(map(float,y))
bar = (
Bar()
.add_xaxis(xaxis_data=x)
.add_yaxis(
series_name="increase_value",
y_axis=y_up,
markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(type_='max')]
),
)
# .add_yaxis(series_name="increase", yaxis_data=y_up, stack="GDP",markpoint_opts=opts.MarkPointOpts(
# data=[opts.MarkPointItem(name=x[max_index], coord=[x[max_index], y[max_index]+y_up[max_index]+z[max_index]], value="Max")]
# ),)
.add_yaxis(series_name="decrease_value", y_axis=y_down, stack="GDP",markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(type_='max')]
),)
.set_global_opts(
datazoom_opts=[opts.DataZoomOpts(range_start=10, range_end=90),
opts.DataZoomOpts(type_="inside")],
yaxis_opts=opts.AxisOpts(
name=y_name,
type_="value",
axislabel_opts=opts.LabelOpts(formatter="{value}"),
axistick_opts=opts.AxisTickOpts(is_show=True),
splitline_opts=opts.SplitLineOpts(is_show=True),
),
xaxis_opts=opts.AxisOpts(name=x_name),
graphic_opts=[opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="bottom",
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
# 可以通过jsCode添加js代码，也可以直接用字符串
text=['\n'+"Q:"+' '+query+'\n'+"\n"+'A:'+' '+answer],
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333"
)
)
)]
)
)
line = (
Line()
.add_xaxis(xaxis_data=x)
.add_yaxis(
series_name='food',
yaxis_index=0,
y_axis=y,
label_opts=opts.LabelOpts(is_show=True),
# markpoint_opts=opts.MarkPointOpts(
# data=[opts.MarkPointItem(type_='max', value='Max'),opts.MarkPointItem(type_='min',value='Max')],
# ),
)
.set_global_opts(legend_opts=opts.LegendOpts(is_show=False), )
)
# line.overlap(bar).render("TREND.html")
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG, ))
grid.add(bar.overlap(line), grid_opts={'left': '20%', 'bottom': '34%'})
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
option = {"option": [option1], "query": query}
return option
def generate_html(self):
df = self.get_bond_data()
data = self.get_XY_data(df)
bigger = data['bigger']
smaller = data['smaller']
avg = data['avg']
std = data['std']
max_name = data['max_name']
max_pct = data['max_pct']
min_name = data['min_name']
min_pct = data['min_pct']
bar = (Bar().add_xaxis(list(data['result_dict'].keys())).add_yaxis(
f"{self.today}-可转债价格分布", data['zz_list'],
category_gap=3).add_yaxis(
f"{self.today}-正股价格分布", data['zg_list'],
category_gap=3).set_series_opts(
label_opts=opts.LabelOpts(is_show=True),
axispointer_opts=opts.AxisPointerOpts(is_show=True)).
set_global_opts(
title_opts=opts.TitleOpts(title="可转债价格分布"),
xaxis_opts=opts.AxisOpts(
name="涨跌幅",
is_show=True,
name_rotate=30,
),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
left="70%",
top="20%",
),
children=[
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center",
top="middle",
z=100,
),
graphic_textstyle_opts=opts.
GraphicTextStyleOpts(
text=JsCode(
f"['涨幅>=0：{bigger}',"
f"'涨幅<0：{smaller}',"
f"'平均涨幅：{avg}%',"
f"'波动方差：{std}',"
f"'',"
f"'最大：{max_name} {max_pct}%',"
f"'最小：{min_name} {min_pct}%',"
"''].join('\\n')"),
font="14px Microsoft YaHei",
graphic_basicstyle_opts=opts.
GraphicBasicStyleOpts(fill="#333")))
])
],
))
bar.render(self.HMTL_PATH)
# 自定义一个driver
make_snapshot(snapshot, bar.render(), self.IMGAGE_PATH, driver=driver)
