pyecharts

柱状图

from pyecharts.charts import Bar
from pyecharts import options as opts

bar = Bar()

bar.add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
bar.add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105])
bar.add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
bar.set_global_opts(title_opts=opts.TitleOpts(title="某商场销售情况"))
# bar.reversal_axis() # 反转
bar.render_notebook()

image.png

折线图

x_data = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
y_data = [820, 932, 901, 934, 1290, 1330, 1320]

from pyecharts.charts import Line
(
    Line()
    .set_global_opts(
        tooltip_opts=opts.TooltipOpts(is_show=False),
        xaxis_opts=opts.AxisOpts(type_="category"),
        yaxis_opts=opts.AxisOpts(
            type_="value",
            axistick_opts=opts.AxisTickOpts(is_show=True),
            splitline_opts=opts.SplitLineOpts(is_show=True),
        ),
    )
    .add_xaxis(xaxis_data=x_data)
    .add_yaxis(
        series_name="",
        y_axis=y_data,
        symbol="emptyCircle",
        is_symbol_show=True,
        label_opts=opts.LabelOpts(is_show=False),
    )
    .render_notebook()
)

image.png

柱状图反转

bar = Bar()
bar.add_xaxis(list(x))
bar.add_yaxis("嘿嘿",y,itemstyle_opts=opts.ItemStyleOpts(color='green'))
bar.reversal_axis() # 反转
bar.render_notebook()

image.png

实现几张图片拖拉拽

Page

from pyecharts.charts import Line,Page
from pyecharts import options as opts
f1 = Line()
f1.add_xaxis(list(x))
f1.add_yaxis('aa',y,is_smooth=True)
f1.set_global_opts(title_opts=opts.TitleOpts('哈哈哈'),
                   datazoom_opts=opts.DataZoomOpts(is_show=True), # 缩放
                  xaxis_opts=opts.AxisOpts(type_='value')) # 类型 ：categary / value
f1.set_series_opts(label_opts=opts.LabelOpts(is_show=True))
f1.render_notebook()

f2 = Line()
f2.add_xaxis(list(x))
f2.add_yaxis('aa',y,is_smooth=True)
f2.set_global_opts(title_opts=opts.TitleOpts('哈哈2哈'),
                   datazoom_opts=opts.DataZoomOpts(is_show=True), # 缩放
                  xaxis_opts=opts.AxisOpts(type_='value')) # 类型 ：categary / value
f2.set_series_opts(label_opts=opts.LabelOpts(is_show=True))
f2.render_notebook()

page = Page(layout=Page.DraggablePageLayout)
page.add(f1,f2)
page.render()

保存固定html

# 保存成固定html
page.save_resize_html('./render.html',cfg_file='./chart_config.json',dest='./new.html')

地图Geo

from pyecharts.charts import Geo
from pyecharts.faker import Faker
from pyecharts import options as opts
from pyecharts.globals import ChartType,SymbolType


go = Geo()
go.add_schema(maptype='china')
go.add('geo',[list(i) for i in zip(Faker.provinces,Faker.values())])
go.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
go.set_global_opts(visualmap_opts=opts.VisualMapOpts(is_piecewise=True), # 显示左下角颜色控制
                  title_opts=opts.TitleOpts(title='示例'))

go.render_notebook()

image.png

[list(i) for i in zip(Faker.provinces,Faker.values())]

out:
[['广东', 60],
 ['北京', 65],
 ['上海', 64],
 ['江西', 104],
 ['湖南', 80],
 ['浙江', 107],
 ['江苏', 125]]

省级地图

g1 = Geo()
g1.add_schema(maptype='河南')
g1.add('geo',[['郑州',20],['新乡',30],['许昌',2800]])
g1.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
g1.set_global_opts(visualmap_opts=opts.VisualMapOpts(is_piecewise=True,max_=3000), # 显示左下角颜色控制
                  title_opts=opts.TitleOpts(title='示例'))

g1.render_notebook()

image.png

直辖市地图

g2 = Geo()
g2.add_schema(maptype='北京')
g2.add('北京',[['昌平',20],['西城',30],['海淀',20],['通州区',233]])
g2.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
g2.set_global_opts(visualmap_opts=opts.VisualMapOpts(is_piecewise=True,max_=300), # 显示左下角颜色控制
                  title_opts=opts.TitleOpts(title='示例嘿嘿'))

g2.render_notebook()

image.png

手动添加经纬度 自定义左下角单位

from pyecharts.globals import GeoType,ChartType
city = '杭州'
g3 = Geo()
g3.add_schema(maptype=city,is_roam=False)

# 手动添加经纬度
g3.add_coordinate('杭州师范',120.12321,30.2143432)
g3.add_coordinate('不懂大学',120.2712434,30.16233434)

data_pair = [['杭州师范',100],['不懂大学',500],['杭州',50]]
g3.add(' ',data_pair,symbol_size=20,type_=GeoType.EFFECT_SCATTER) # 涟漪效果 热图：ChartType.HEATMAP

# 左下角自定义
pieces = [
    {'max':6,'label':'5一下','color':'pink'},
    {'min':6,'max':10,'label':'5-10','color':'red'},
    {'min':10,'max':100,'label':'10-100','color':'blue'}
]

g3.set_global_opts(visualmap_opts=opts.VisualMapOpts(is_piecewise=True,pieces=pieces),#,max_=800 # 显示左下角颜色控制
                  title_opts=opts.TitleOpts(title='示例嘿嘿'))

g3.render_notebook()

image.png

Map做图

Map与Geo的区别 Map可以是区域加颜色并显示名称

from pyecharts.charts import Map

g4 = Map()
# g4.add('嘿嘿',[list(z) for z in zip(Faker.provinces,Faker.values())],'china')
g4.add('嘿嘿',[['昌平区',200],['西城区',130],['海淀区',120],['通州区',133]],'北京')

g4.set_global_opts(title_opts=opts.TitleOpts(title='地图'),
                  visualmap_opts=opts.VisualMapOpts(is_piecewise=True,max_=300))
g4.render_notebook()

image.png

隐藏Label

from pyecharts.charts import Map

g5 = Map()
# g4.add('嘿嘿',[list(z) for z in zip(Faker.provinces,Faker.values())],'china')
g5.add('北京',[['昌平区',200],['西城区',130],['海淀区',120],['通州区',133]],'北京',is_map_symbol_show=False) #is_map_symbol_show不出现点

g5.set_global_opts(title_opts=opts.TitleOpts(title='地图'),
                  visualmap_opts=opts.VisualMapOpts(is_piecewise=True,max_=300))
g5.set_series_opts(label_opts=opts.LabelOpts(is_show=False)) # label_opts隐藏Label, is_show=True
g5.render_notebook()

image.png

渐变图

• 数据

d = [['密云区', 2],
 ['延庆区', 1],
 ['朝阳区', 3],
 ['丰台区', 4],
 ['石景山区', 5],
 ['海淀区', 6],
 ['门头沟区', 6],
 ['房山区', 5],
 ['通州区', 4],
 ['顺义区', 3],
 ['昌平区', 2],
 ['大兴区', 1],
 ['怀柔区', 1],
 ['平谷区', 2],
 ['东城区', 3],
 ['西城区', 4]]

• 自定义

pieces2 = [
      {"min":6 ,'max':6,"label": '增速大占比小',"color": '#070093'},
      {"min":5 ,"max":5 ,"label": '占比小增速大','color':'#1c3fbf'},
      {"min":4 , "max":4 ,"label": '占比小增速小','color':'#1482e5'},
      {"min":3, "max":3,"label": '占比大增速大','color':'#70b4eb'},
      {"min":2, "max":2,"label": '占比大增速大','color':'#b4e0f3'},
      {"min":1, "max":1, "label": '占比中增速中',"color": '#ffffff'}, #DDFFFF
]
# ["#070093", "#1c3fbf", "#1482e5", "#70b4eb", "#b4e0f3", "#ffffff"];

• 代码

g5 = Map()

g5.add('北极',d,'北京',is_map_symbol_show=False) #is_map_symbol_show不出现点

g5.set_global_opts(title_opts=opts.TitleOpts(title='嘿嘿😋'),
                  visualmap_opts=opts.VisualMapOpts(is_piecewise=True,max_=6,min_=1,pieces=pieces2))

g5.set_series_opts(label_opts=opts.LabelOpts(is_show=True)) # label_opts隐藏Label, is_show=True
g5.render_notebook()

下载 (5).png

定位地图

原理调用的是百度地图

from pyecharts.charts import BMap
from pyecharts.globals import ChartType,SymbolType


ak = 'fCWuW7dfaNQkpfx4VRWl46j5zyWlFjpa'
b1 = BMap()
b1.add_schema(baidu_ak=ak,center=[120.132343242,30.243242342],zoom=9) #zoom=10放大初始点

b1.add('bmap',
       [list(i) for i in zip(Faker.provinces,Faker.values())],
      label_opts=opts.LabelOpts(formatter={'b'}))

b1.set_global_opts(title_opts=opts.TitleOpts('BMap-示例'),
                  visualmap_opts=opts.VisualMapOpts(is_piecewise=True,max_=2000,pos_bottom=60)) # 防止百度图标挡住
b1.render_notebook()

2131.png