def gauge(self, title=None, index=None, accomplish=None, rate=None):
"""
:param title: 数据可视化的标题(字符串)
:param index: 业务指标(字符串)
:param accomplish: 完成率(字符串)
:param rate: 百分比(int类型)
:return: 仪表盘
"""
gauge = Gauge(title)
gauge.add(index, accomplish, rate)
self.page.add(gauge)
self.page.render()
def get_gauge(data_y: list, gauge_name=""):
gauge = Gauge()
gauge.add(
gauge_name,
[(gauge_name, (sum(data_y) * 100) / (len(data_y) * max(data_y)))],
axisline_opts=opts.AxisLineOpts(linestyle_opts=opts.LineStyleOpts(
color=[(0.3, "#67e0e3"), (0.7, "#37a2da"), (1, "#fd666d")],
width=30), ),
)
gauge.set_global_opts(
# title_opts=opts.TitleOpts(title=gauge_name),
legend_opts=opts.LegendOpts(is_show=False), )
return gauge
def gauge_html(self, chart_id, title, val):
# 实例化
gauge = Gauge(self.init_opts)
# 绑定id
gauge.chart_id = chart_id
# 添加参数
gauge.add("", [("", val)], min_=0, max_=100)
# 全局参数
gauge.set_global_opts(
title_opts=self.title_opts(title), # 标题选项
legend_opts=options.LegendOpts(is_show=False), # 不显示图例组件
)
# 返回图表html代码
return gauge.render_embed()
def gauge(dados, componente, metrica, temaEscuro=False, abrir_local=False):
if (temaEscuro):
gauge = Gauge(init_opts=opts.InitOpts(theme=ThemeType.CHALK))
else:
gauge = Gauge(init_opts=opts.InitOpts(theme=ThemeType.VINTAGE))
gauge.add('', [(componente, dados)], start_angle=190, end_angle=-10,
title_label_opts=opts.GaugeTitleOpts(font_size=28, color=("white" if temaEscuro else "black")),
detail_label_opts=opts.GaugeDetailOpts(font_size=36, offset_center=[0, "25%"],
formatter=(str(dados) + str(metrica)),
color=("white" if temaEscuro else "black")))
gauge.set_global_opts(title_opts=opts.TitleOpts(title="Uso de " + componente))
make_snapshot(driver, gauge.render("chart.html"), "chart.png")
abrirGrafico(abrir_local)
return 0
def getGauge(self, sheet: xlrd.sheet) -> Gauge:
key = sheet.cell(0, 0).value
value = sheet.cell(0, 1).value
g = Gauge()
g.add(
series_name=sheet.name,
data_pair=[(key, value)],
title_label_opts=opts.LabelOpts(font_size=40,
color="blue",
font_family="Microsoft YaHei"),
) #改标题字体颜色
g.set_global_opts(
legend_opts=opts.LegendOpts(is_show=False),
#tooltip_opts=opts.TooltipOpts(is_show=True, formatter="{a} <br/>{b} : {c}%",textstyle_opts=opts.TextStyleOpts(color="#fff")),#图例颜色和显示格式
title_opts=opts.TitleOpts(title=sheet.name) #加上图标题
)
return g
def gauge_html(self, chart_id, title, val):
gauge = Gauge(init_opts=opts.InitOpts(width="100%", height="300px"))
gauge.set_global_opts(
title_opts=opts.TitleOpts(
title="{}-{}".format(self.dt, title),
title_textstyle_opts=opts.TextStyleOpts(color="white", font_size=14),
pos_left="center"
),
legend_opts=opts.LegendOpts(is_show=False),
)
# 绑定id
gauge.chart_id = chart_id
gauge.add(
series_name="",
data_pair=[["", val]],
title_label_opts=opts.LabelOpts(color="white"),
)
return gauge.render_embed() # 返回图表html代码
def NPS(NPS_List):
Item = NPS_List[0]
nps = NPS_List[1]
laber = str(NPS_List[1]) + '%'
gauge =Gauge(
init_opts=opts.InitOpts(
width='400px',
height='300px'
)
)
gauge.add(
series_name=Item,
data_pair=[('NPS',nps)],
min_=-100,
max_=100,
split_number=4,
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(
color=[[0.5, "#37a2da"], [1, "#fd666d"]],
width=30
)
),
itemstyle_opts=opts.ItemStyleOpts(
color='rgba(212,105,105,1)'
),
detail_label_opts=opts.LabelOpts(
font_size=20,
position='bottom',
formatter=laber
)
)
gauge.set_global_opts(
title_opts=opts.TitleOpts(
subtitle='NPS-' + Item,
pos_right='center',
subtitle_textstyle_opts=opts.TextStyleOpts(
color='rgba(0,0,0,0.8)',
font_size=16
)
),
legend_opts=opts.LegendOpts(is_show=False)
)
return gauge
from pyecharts.charts import Funnel
data =
funnel = Funnel()
funnem.add('',data)
funne.render()
#==============================================================================
# 仪表盘
from pyecharts.charts import Gauge
gauge = Gauge()
gauge.add('',[('完成率',60)],
# 不同颜色
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(
color=[(0.6, "#67e0e3"), (1, "#37a2da")], width=30
)))
gauge.render(r'D:\PythonSpyder\数据可视化\My PyEcharts\仪表盘(不同颜色).html')
#==============================================================================
# 水球图
from pyecharts.charts import Liquid
liquid = Liquid()
liquid.add('',[0.6])
liquid.render(r'D:\PythonSpyder\数据可视化\My PyEcharts\水球图.html')
calendar.set_global_opts(
visualmap_opts=opts.VisualMapOpts(min_=10, max_=2500, pos_top="center"))
calendar.render_notebook()
# %% [markdown]
# ### Funnel -- 漏斗图
funnel = Funnel()
funnel.add("", list(zip(*[Faker.choose(), Faker.values()])))
funnel.render_notebook()
# %% [markdown]
# ### Gauge -- 仪表盘图
gauge = Gauge()
gauge.add("", [["OK", 75]])
gauge.render_notebook()
# %% [markdown]
# ### Liquid -- 水球图
# Liquid().add("", [0.6, 0.66]).render_notebook()
liquid_1 = Liquid().add("", [0.6, 0.65], center=["20%", "50%"])
liquid_2 = Liquid().add("", [0.3, 0.4], shape="rect", center=["80%", "50%"])
grid = Grid()
grid.add(liquid_1, grid_opts=opts.GridOpts()).add(liquid_2,
grid_opts=opts.GridOpts())
grid.render_notebook()
# %% [markdown]
# ### Parallel -- 趋势变化图
radius=[40, 75],
label_text_color=None,
is_label_show=True,
legend_orient="vertical",
legend_pos="left")
pie.render(r".\my_first_Huanxing.html")
"""散点图"""
v1 = [10, 20, 30, 40, 50, 60]
v2 = [10, 20, 30, 40, 50, 60]
scatter = Scatter("散点图示例")
scatter.add("A", v1, v2)
scatter.add("B", v1[::-1], v2)
scatter.render(r".\my_first_Sandian.html")
"""仪表盘"""
gauge = Gauge("业务指标完成率—仪表盘")
gauge.add("业务指标", "完成率", 66.66)
gauge.render(r".\my_first_Yibiaopan.html")
"""热力图"""
x_axis = [
"12a",
"1a",
"2a",
"3a",
"4a",
"5a",
"6a",
"7a",
"8a",
"9a",
"10a",
"11a",
