def bar_datazoom_slider_vertical() -> Bar:
c = (Bar().add_xaxis(Faker.days_attrs).add_yaxis(
"商家A", Faker.days_values, color=Faker.rand_color()).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-DataZoom（slider-垂直）"),
datazoom_opts=opts.DataZoomOpts(orient="vertical"),
))
return c
def bar_datazoom_inside() -> Bar:
c = (Bar().add_xaxis(Faker.days_attrs).add_yaxis(
"商家A", Faker.days_values, color=Faker.rand_color()).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-DataZoom（inside）"),
datazoom_opts=opts.DataZoomOpts(type_="inside"),
))
return c
def draw_bar_plays(data,user_id,title="听歌方式"):
"""
两种听歌方式
:param plays:
:param user_id:
:param title:
:return:
"""
file_name = "user_data/" + str(user_id) + "_bar_plays.html"
x = ["片段播放", "完整播放"]
color = ["#749f83", "#d48265"]
xlen = len(x)
y = []
for idx, item in enumerate(x):
y.append(
opts.BarItem(
name=item,
value=data[idx],
itemstyle_opts=opts.ItemStyleOpts(color=color[idx]),
)
)
c = (
Bar()
.add_xaxis(x)
.add_yaxis("用户："+str(user_id), y,color=Faker.rand_color())
.set_global_opts(title_opts=opts.TitleOpts(title=title),toolbox_opts=opts.ToolboxOpts())
#.render(file_name)
)
return c
def draw_bar_recoder(data,user_id,title = "用户行为统计"):
"""
用户行为统计
:param data:
:param user_id:
:param title:
:return:
"""
file_name = "user_data/" + str(user_id) + "_bar_recoder.html"
x = ["循环播放","片段播放","查看评论","点赞评论","收藏歌曲"]
color = ["#F79709","#749f83", "#d48265","#33CCCC","#82C182"]
xlen = len(x)
y = []
for idx, item in enumerate(x):
y.append(
opts.BarItem(
name=item,
value=data[idx][1],
itemstyle_opts=opts.ItemStyleOpts(color=color[idx]),
)
)
c = (
Bar()
.add_xaxis(x)
.add_yaxis("" , y, color=Faker.rand_color())
.set_global_opts(title_opts=opts.TitleOpts(title=title),
toolbox_opts=opts.ToolboxOpts()
)
# .render(file_name)
)
return c
def draw_bar_like(data,user_id,title="偏爱曲风统计"):
"""
柱状图 偏爱统计
:param data:
:param user_id:
:param title:
:return:
"""
file_name = "user_data/" + str(user_id) + "_bar_like.html"
x = ["古风", "古典", "电子", "民谣", "流行", "说唱", "摇滚"]
color = ["#C43C3C", "#7D573E", "#E6E65D", "#69DA69", "#70D4D4", "#9B7CC7", "#A2A2A2"]
xlen = len(x)
y = []
for idx, item in enumerate(x):
y.append(
opts.BarItem(
name=item,
value=data[idx][1],
itemstyle_opts=opts.ItemStyleOpts(color=color[idx]),
)
)
c = (
Bar()
.add_xaxis(x)
.add_yaxis("", y, color=Faker.rand_color())
.set_global_opts(title_opts=opts.TitleOpts(title=title),
toolbox_opts=opts.ToolboxOpts()
)
#.render(file_name)
)
return c
def bar_histogram_color() -> Bar:
x = Faker.dogs + Faker.animal
xlen = len(x)
y = []
for idx, item in enumerate(x):
if idx <= xlen / 2:
y.append(
opts.BarItem(
name=item,
value=(idx + 1) * 10,
itemstyle_opts=opts.ItemStyleOpts(color="#749f83"),
))
else:
y.append(
opts.BarItem(
name=item,
value=(xlen + 1 - idx) * 10,
itemstyle_opts=opts.ItemStyleOpts(color="#d48265"),
))
c = (Bar().add_xaxis(x).add_yaxis(
"series0", y, category_gap=0,
color=Faker.rand_color()).set_global_opts(title_opts=opts.TitleOpts(
title="Bar-直方图（颜色区分）")))
return c
def map_base() -> Map:
c = (
Map()
.add("商家A", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")
.set_global_opts(title_opts=opts.TitleOpts(title="Map-基本示例"))
)
return c
def geoHeatMap(self,area=None,data=None,maptype='china',title='热力图示例',subtitle='副标题'):
'''
热力图
param area: 省份的列表 type list 例如 ['吉林', '辽宁', '河北', '河南']
param data: 对应的值 type list 例如 [63,10,2,30]
应用场景 省份或者城市排行榜
# ['黑龙江', '吉林', '辽宁', '河北', '河南', '山东', '山西', '安徽', '江西', '江苏', '浙江', '福建', '台湾', '广东',
# '湖南', '湖北', '海南', '云南', '贵州', '四川', '青海', '甘肃', '陕西', '内蒙古', '新疆', '广西', '宁夏', '西藏',
# '北京','天津','上海','重庆','香港','澳门']
'''
area = area or Faker.provinces
data = data or Faker.values()
c = (
Geo()
.add_schema(maptype=maptype)
.add(
"geo",
[list(z) for z in zip(area, data)],
type_=ChartType.HEATMAP,
)
# .set_series_opts(label_opts=opts.LabelOpts(is_show=True))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(),
title_opts=opts.TitleOpts(title=title,subtitle=subtitle),
)
)
chart_name = f'static/chart{self.index}_heatmap'
make_snapshot(snapshot,c.render(f'{chart_name}.html'),f'{chart_name}.png',is_remove_html=True)
self.index += 1
def bar_histogram():
x = Faker.dogs + Faker.animal
xlen = len(x)
y = []
for idx, item in enumerate(x):
if idx <= xlen / 2:
bar_item = opts.BarItem(
name=item,
value=(idx + 1) * 10,
itemstyle_opts=opts.ItemStyleOpts(color="#749f83")
)
else:
bar_item = opts.BarItem(
name=item,
value=(xlen + 1 - idx) * 10,
itemstyle_opts=opts.ItemStyleOpts(color="#d48265"),
)
y.append(bar_item)
obj_bar = Bar()
obj_bar.add_xaxis(x)
#直方图就是紧挨着的系列柱category_gap=0调节系列柱之间距离，
# color=Faker.rand_color()因为上面设置了柱的颜色，这里只对图例legend的颜色起作用
obj_bar.add_yaxis("series0", y, category_gap=0,color=Faker.rand_color())
obj_bar.set_global_opts(
title_opts=opts.TitleOpts(title="Bar-直方图（颜色区分）", subtitle="副标题")
)
return obj_bar
def map_without_label() -> Map:
c = (Map().add("商家A",
[list(z) for z in zip(Faker.provinces, Faker.values())],
"china").set_series_opts(label_opts=opts.LabelOpts(
is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title="Map-不显示Label")))
return c
def test_map3d_schema(fake_writer):
c = (Map3D().add_schema(
itemstyle_opts=opts.ItemStyleOpts(),
map3d_label=opts.Map3DLabelOpts(),
light_opts=opts.Map3DLightOpts(),
view_control_opts=opts.Map3DViewControlOpts(),
post_effect_opts=opts.Map3DPostEffectOpts(),
realistic_material_opts=opts.Map3DRealisticMaterialOpts(),
lambert_material_opts=opts.Map3DLambertMaterialOpts(),
color_material_opts=opts.Map3DColorMaterialOpts(),
).add(
series_name="商家A",
data_pair=[list(z) for z in zip(Faker.provinces, Faker.values())],
maptype="china",
type_=ChartType.LINES3D,
effect=opts.Lines3DEffectOpts(),
))
c.render()
_, content = fake_writer.call_args[0]
assert_in("itemStyle", content)
assert_in("label", content)
assert_in("light", content)
assert_in("viewControl", content)
assert_in("postEffect", content)
assert_in("realisticMaterial", content)
assert_in("lambertMaterial", content)
assert_in("colorMaterial", content)
def bar_base_with_animation():
c = (
Bar(
init_opts=opts.InitOpts(
animation_opts=opts.AnimationOpts(
animation_delay=1000, animation_easing="elasticOut"
)
)
)
.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-动画配置基本示例", subtitle="我是副标题")
)
)
return c
def map_guangdong() -> Map:
c = (Map().add(
"商家A", [list(z) for z in zip(Faker.guangdong_city, Faker.values())],
"广东").set_global_opts(
title_opts=opts.TitleOpts(title="Map-广东地图"),
visualmap_opts=opts.VisualMapOpts(),
))
return c
def map_visualmap() -> Map:
c = (Map().add("商家A",
[list(z) for z in zip(Faker.provinces, Faker.values())],
"china").set_global_opts(
title_opts=opts.TitleOpts(title="Map-VisualMap（连续型）"),
visualmap_opts=opts.VisualMapOpts(max_=200),
))
return c
def bmap_base() -> BMap:
c = (BMap().add_schema(
baidu_ak=BAIDU_MAP_AK, center=[120.13066322374, 30.240018034923]).add(
"bmap",
[list(z) for z in zip(Faker.provinces, Faker.values())],
label_opts=opts.LabelOpts(formatter="{b}"),
).set_global_opts(title_opts=opts.TitleOpts(title="BMap-基本示例")))
return c
def test_map_base(fake_writer):
c = Map().add(
"商家A", [list(z) for z in zip(Faker.provinces, Faker.values())], "china"
)
c.render()
_, content = fake_writer.call_args[0]
assert_equal(c.theme, "white")
assert_equal(c.renderer, "canvas")
def line_markline() -> Line:
c = (
Line()
.add_xaxis(Faker.choose())
.add_yaxis(
"商家A",
Faker.values(),
markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_="average")]),
)
.add_yaxis(
"商家B",
Faker.values(),
markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_="average")]),
)
.set_global_opts(title_opts=opts.TitleOpts(title="Line-MarkLine"))
)
return c
def line_itemstyle() -> Line:
c = (
Line()
.add_xaxis(xaxis_data=Faker.choose())
.add_yaxis(
"商家A",
Faker.values(),
symbol="triangle",
symbol_size=20,
linestyle_opts=opts.LineStyleOpts(color="green", width=4, type_="dashed"),
itemstyle_opts=opts.ItemStyleOpts(
border_width=3, border_color="yellow", color="blue"
),
)
.set_global_opts(title_opts=opts.TitleOpts(title="Line-ItemStyle"))
)
return c
def map_base() -> Map:
c = (Map().add("商家A",
[list(z) for z in zip(Faker.provinces, Faker.values())],
"china",
name_map=ENGLISH_PROVINCE_NAMES).set_global_opts(
title_opts=opts.TitleOpts(title="Map-基本示例")).render())
return c
def pie_with_custom_label():
pie = Pie(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
pie.add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
pie.set_series_opts(
label_opts=opts.LabelOpts(position='top',
color='red',
font_family='Arial',
font_size=12,
font_style='italic',
interval=1,
formatter='{b}:{d}%'
)
)
return pie
def map_visualmap_piecewise():
obj_map = Map()
obj_map.add("中国", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")
obj_map.set_global_opts(
title_opts=opts.TitleOpts(title="Map-VisualMap（分段型）",subtitle ="副标题"),
visualmap_opts=opts.VisualMapOpts(max_=200, is_piecewise=True),
)
return obj_map
def bar_markline_type():
obj_bar = Bar()
obj_bar.add_xaxis(Faker.choose())
obj_bar.add_yaxis("商家A",Faker.values())
obj_bar.add_yaxis("商家B",Faker.values())
obj_bar.set_series_opts(
label_opts=opts.LabelOpts(is_show = False),
markline_opts=opts.MarkPointOpts(
data = [
opts.MarkLineItem(type_="min", name="最小值"),
opts.MarkLineItem(type_="max", name="最大值"),
opts.MarkLineItem(type_="average", name="平均值"),
]
)
)
obj_bar.set_global_opts(title_opts=opts.TitleOpts(title="Bar-MarkLine（指定类型）", subtitle="平均值的线"))
return obj_bar
def line_markpoint() -> Line:
c = (
Line()
.add_xaxis(Faker.choose())
.add_yaxis(
"商家A",
Faker.values(),
markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="min")]),
)
.add_yaxis(
"商家B",
Faker.values(),
markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]),
)
.set_global_opts(title_opts=opts.TitleOpts(title="Line-MarkPoint"))
)
return c
def pie_rosetype() -> Pie:
v = Faker.choose()
c = (Pie().add(
"",
[list(z) for z in zip(v, Faker.values())],
radius=["30%", "75%"],
center=["25%", "50%"],
rosetype="radius",
label_opts=opts.LabelOpts(is_show=False),
).add(
"",
[list(z) for z in zip(v, Faker.values())],
radius=["30%", "75%"],
center=["75%", "50%"],
rosetype="area",
).set_global_opts(title_opts=opts.TitleOpts(title="Pie-玫瑰图示例")))
return c
def ie_rich_label():
c = (Pie().add(
"",
[list(z) for z in zip(Faker.choose(), Faker.values())],
radius=["40%", "55%"],
label_opts=opts.LabelOpts(
position="outside",
formatter="{a|{a}}{abg|}\n{hr|}\n {b|{b}: }{c} {per|{d}%} ",
background_color="#eee",
border_color="#aaa",
border_width=1,
border_radius=4,
rich={
"a": {
"color": "#999",
"lineHeight": 22,
"align": "center"
},
"abg": {
"backgroundColor": "#e3e3e3",
"width": "100%",
"align": "right",
"height": 22,
"borderRadius": [4, 4, 0, 0],
},
"hr": {
"borderColor": "#aaa",
"width": "100%",
"borderWidth": 0.5,
"height": 0,
},
"b": {
"fontSize": 16,
"lineHeight": 33
},
"per": {
"color": "#eee",
"backgroundColor": "#334455",
"padding": [2, 4],
"borderRadius": 2,
},
},
),
).set_global_opts(title_opts=opts.TitleOpts(title="Pie-富文本示例")))
return c
def bar_with_guide_line():
bar = Bar(init_opts=opts.InitOpts(theme='light',
width='1000px',
height='600px'))
bar.add_xaxis(Faker.choose())
bar.add_yaxis('A', Faker.values())
bar.add_yaxis('B', Faker.values())
bar.set_series_opts(
markline_opts=opts.MarkLineOpts(
data=[
opts.MarkLineItem(type_="min", name="最小值"),
opts.MarkLineItem(type_="max", name="最大值"),
opts.MarkLineItem(type_="average", name="平均值"),
]
)
)
return bar
def render_filter_legend():
with st.echo("below"):
c = (
Bar(
init_opts=opts.InitOpts(
animation_opts=opts.AnimationOpts(
animation_delay=1000, animation_easing="elasticOut"
)
)
)
.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-动画配置基本示例", subtitle="我是副标题")
)
)
st_pyecharts(c)
def timeline_bar(timestamp, data1, data2) -> Timeline:
formatTimeList = []
for i in timestamp:
formatTimeList.append(
time.strftime("%H:%M", time.localtime(int(i) // 1000)))
tl = Timeline(init_opts=opts.InitOpts(width="900px", height="500px"))
for i in range(2015, 2020):
bar = (Bar().add_xaxis(formatTimeList).add_yaxis(
"商家A",
Faker.values()).add_yaxis("商家B", Faker.values()).set_global_opts(
title_opts=opts.TitleOpts("某商店{}年营业额".format(i))))
(tl.add(bar, "{}年".format(i)).add_schema(orient="horizontal",
play_interval=500,
symbol="circle",
symbol_size=2,
pos_bottom="-5px",
height="37px"))
return tl
def map_world() -> Map:
c = (Map().add("商家A",
[list(z) for z in zip(Faker.country, Faker.values())],
"world").set_series_opts(label_opts=opts.LabelOpts(
is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title="Map-世界地图"),
visualmap_opts=opts.VisualMapOpts(max_=200),
))
return c
def geo_effectscatter() -> Geo:
c = (Geo().add_schema(maptype="china").add(
"geo",
[list(z) for z in zip(Faker.provinces, Faker.values())],
type_=ChartType.EFFECT_SCATTER,
).set_series_opts(label_opts=opts.LabelOpts(
is_show=False)).set_global_opts(title_opts=opts.TitleOpts(
title="Geo-EffectScatter")))
return c
