def draw_rank_change(axis_name_list, axis_data, data, to_file, svg_name):
"""
平行坐标系
:param axis_name_list:
:param axis_data: 是str才行哦
:param data: 格式 [[name, result],[name, result]] result 是 [[这里是值]] 的格式
:param to_file:
:param svg_name:
:return:
"""
# 设置schema
parallel_axis = []
for i in range(len(axis_name_list)):
one_dict = {
'dim': i,
'name': axis_name_list[i],
'type': 'category',
'data': axis_data,
'inverse': True,
'nameTextStyle': opts.TextStyleOpts(font_size=15),
'axisLabel': opts.LabelOpts(font_size=15)
}
parallel_axis.append(one_dict)
# 设置结果
p = Parallel(init_opts=opts.InitOpts(width="900px", height="600px", bg_color='White')) \
.add_schema(schema=parallel_axis,
parallel_opts=opts.ParallelOpts(pos_top='5%',
pos_right='20%',
pos_left='10%',
)
)
for i in range(len(data)):
p = p.add(
series_name=data[i][0],
data=data[i][1],
linestyle_opts=opts.LineStyleOpts(width=3, opacity=0.5),
is_smooth=True,
)
p = p.set_global_opts(
legend_opts=opts.LegendOpts(
type_="scroll",
pos_left="85%",
pos_top="18%",
orient="vertical",
backgroundColor='rgb(255, 255, 255)',
item_width=25,
item_height=15,
textstyle_opts=opts.TextStyleOpts(font_size=15)),
tooltip_opts=opts.TooltipOpts(position="right"),
toolbox_opts=opts.ToolboxOpts(),
)
make_snapshot(snapshot, p.render(to_file), svg_name) # 生成svg图片
},
{
"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,
heatmap_data,
label_opts=opts.LabelOpts(is_show=True, position="inside"),
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