opts.ParallelAxisOpts(dim=1, name="AQI"),
opts.ParallelAxisOpts(dim=2, name="PM2.5"),
opts.ParallelAxisOpts(dim=3, name="PM10"),
opts.ParallelAxisOpts(dim=4, name="CO"),
opts.ParallelAxisOpts(dim=5, name="NO2"),
opts.ParallelAxisOpts(dim=6, name="CO2"),
opts.ParallelAxisOpts(
dim=7,
name="等级",
type_="category",
data=["优", "良", "轻度污染", "中度污染", "重度污染", "严重污染"],
),
]
parallel = Parallel()
# 添加坐标轴和数据
parallel.add_schema(schema=schema).add("", data)
parallel.render_notebook()
# %% [markdown]
# ### Radar -- 雷达图
radar = Radar()
radar.add_schema(schema=[
opts.RadarIndicatorItem(name=_k, max_=200) for _k in list("ABCDFG")
])
radar.add("Expectation", [Faker.values()]).add("Reality", [Faker.values()])
radar.render_notebook()
# %% [markdown]
# ### ThemeRiver -- 流量图
"dim": 2,
"name": "C"
},
{
"dim": 3,
"name": "Score",
"type": "category",
"data": ["Excellent", "Good", "OK", "Bad"],
},
]
parallel_data = [[12.99, 100, 82, "Good"], [9.99, 80, 77, "OK"],
[20, 120, 60, "Excellent"]]
# init_opts=opts.InitOpts(width="800px",height="300px")
parallel = Parallel(init_opts=opts.InitOpts(width="800px", height="300px"))
parallel.add_schema(parallel_axis)
parallel.add(series_name="Related Indexes",
data=parallel_data,
linestyle_opts=opts.LineStyleOpts(width=4, opacity=0.5))
liquid = Liquid(init_opts=opts.InitOpts(width="300px", height="300px"))
liquid.add("liquid", [0.6, 0.7, 0.3])
liquid.set_global_opts(title_opts=opts.TitleOpts(title="Basic Example"))
heatmap_data = [[i, j, random.randint(0, 50)] for i in range(7)
for j in range(7)]
heatmap = HeatMap()
heatmap.add_xaxis(Faker.week)
heatmap.add_yaxis(
"相关表",
Faker.week,
def find_value_render(query_filter, x_label, x, result, Data, query,
table_path, answer):
colorList = ['#f36c6c', '#e6cf4e', '#20d180', '#0093ff']
# x = ['GDP', 'Industry', 'Architecture', 'Service']
# y = [990865, 317109, 70904, 534233]
# x1 = ["周一"]
# y1 = [11]
Y = []
# for i in range(len(y)):
# if i==0:
# Y.append(
# opts.BarItem(
# name=x[i],
# value=round(y[i], 2),
# label_opts=opts.LabelOpts(position="insideTop"),
# itemstyle_opts={
# "normal": {
# "color": colorList[0],
# "barBorderRadius": [30, 30, 30, 30],
# }
# }
# ))
# else:
# Y.append(
# opts.BarItem(
# name=x[i],
# value=round(y[i], 2),
# label_opts=opts.LabelOpts(position="insideTop"),
# itemstyle_opts={
# "normal": {
# "color": "blue",
# "barBorderRadius": [30, 30, 30, 30],
# }
# }
# ))
bar1 = Bar()
bar1.add_xaxis(x)
bar1.add_yaxis(result[0][0],
y_axis=result[0][1],
label_opts=opts.LabelOpts(position="insideTop"))
bar1.set_global_opts(
yaxis_opts=opts.AxisOpts(is_show=False),
xaxis_opts=opts.AxisOpts(
axisline_opts=opts.AxisLineOpts(is_show=False),
axispointer_opts=opts.AxisPointerOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)),
title_opts=opts.TitleOpts(subtitle="When the search condition is " +
query_filter,
pos_left='center'),
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")))
])
bar2 = Bar()
bar2.add_xaxis(x)
for i in range(len(result)):
bar2.add_yaxis(result[i][0], y_axis=result[i][1])
bar2.set_global_opts(
yaxis_opts=opts.AxisOpts(is_show=False),
xaxis_opts=opts.AxisOpts(
axisline_opts=opts.AxisLineOpts(is_show=False),
axispointer_opts=opts.AxisPointerOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)),
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' + "\n" + "Q:" + ' ' + query + '\n' + "\n" + 'A:' +
' ' + answer
],
font="16px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#333")))
])
Label = []
data = []
for i in range(len(Data)):
Label.append(str(Data[i][0]))
data.append(Data[i][1])
data = list(map(list, zip(*data)))
parallel = Parallel()
parallel_axis = []
for i in range(len(Label)):
parallel_axis.append({"dim": i, "name": Label[i]})
parallel.add_schema(schema=parallel_axis)
parallel.add("", data, is_smooth=True)
parallel.set_global_opts(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")))
])
grid0 = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid0.add(bar1, grid_opts={'left': '20%', 'bottom': '34%'})
option0 = grid0.dump_options_with_quotes()
option0 = json.loads(option0)
grid = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid.add(bar2, grid_opts={'left': '15%', 'bottom': '50%'})
option1 = grid.dump_options_with_quotes()
option1 = json.loads(option1)
grid1 = Grid(init_opts=opts.InitOpts(
width="100%",
height="100%",
renderer=globals.RenderType.SVG,
))
grid1.add(parallel, grid_opts={'left': '30%', 'bottom': '34%'})
option2 = grid1.dump_options_with_quotes()
option2 = json.loads(option2)
option = {"option": [option1, option2], "query": query}
return option