整理自官网from pyecharts.globals import CurrentConfig, OnlineHostType

CurrentConfig.ONLINE_HOST = OnlineHostType.NOTEBOOK_HOST

散点图-多图from pyecharts.charts import Scatter,EffectScatter

import numpy as np

y = np.random.randint(1,30,50).tolist() s = EffectScatter()

s.add_xaxis(xaxis_data=range(50))

s.add_yaxis('A', y_axis=y, symbol='pin',symbol_size=16,label_opts=opts.LabelOpts(is_show=False))

s.set_global_opts(

title_opts=opts.TitleOpts(title='散点图-涟漪特效散点'),

xaxis_opts=opts.AxisOpts(name='秒'),

yaxis_opts=opts.AxisOpts(name='流量'),

legend_opts=opts.LegendOpts(pos_right=50),

# series_index指定映射的系列索引

visualmap_opts=[

opts.VisualMapOpts(type_='color', min_=0,max_=50,series_index=0, pos_top='20px'),

opts.VisualMapOpts(type_='size', min_=0,max_=50,series_index=1, pos_top='60%')

]

)

s2 = Scatter()

s2.add_xaxis(xaxis_data=range(50))

s2.add_yaxis('B', y_axis=y,

xaxis_index=1, yaxis_index=1,

label_opts=opts.LabelOpts(is_show=False))

s2.set_global_opts(

xaxis_opts=opts.AxisOpts(name='秒', grid_index=1),

yaxis_opts=opts.AxisOpts(name='流量'),

legend_opts=opts.LegendOpts(pos_right=10),

)

g = Grid(init_opts=opts.InitOpts(height='450px', width='850px'))

g.add(s,grid_opts=opts.GridOpts(height="35%"))  # 高度变为35%

g.add(s2,grid_opts=opts.GridOpts(pos_top='60%',height="35%"))  # 距离容器顶部的距离

g.render_notebook()

平行坐标系from pyecharts.charts import Parallel

平行坐标系-基本设置r = np.random.rand(12)

data = [[i, round(j,2), round(m,2), n] for i,j,m,n in zip(range(12),r,np.random.randint(1,3,12)+r, np.random.choice(['A','B'],12))]

data[:3]

[[0, 0.04, 1.04, ‘A’], [1, 0.9, 1.9, ‘A’], [2, 0.11, 2.11, ‘B’]]# 坐标轴设置，类别轴设置data所有的类别

schema = [

{'dim':0,'name':'月份'},{'dim':1,'name':'指标1'},

{'dim':2,'name':'指标2'},{'dim':3,'name':'类别','type':'category', 'data':['A','B']},

]

p =Parallel(init_opts=opts.InitOpts(height='350px', width='850px'))

p.add_schema(schema=schema)

p.add('2015', data, linestyle_opts=opts.LineStyleOpts(color='#CD0000'))  # 没有color参数

r = np.random.rand(12)

data = [[i, round(j,2), round(m,2), n] for i,j,m,n in zip(range(12),r,np.random.randint(1,3,12)+r, np.random.choice(['A','B'],12))]

p.add('2016', data, linestyle_opts=opts.LineStyleOpts(color='#5CACEE'))

p.render_notebook()

平行坐标系-单独设置每个轴p =Parallel(init_opts=opts.InitOpts(height='350px', width='850px'))

# 单独设置每个轴，刻度范围

p.add_schema(

schema=[

opts.ParallelAxisOpts(dim=0, name='月份'),

opts.ParallelAxisOpts(dim=1, name='指标1',min_=0,max_=1),

opts.ParallelAxisOpts(dim=2, name='指标2',min_=1,max_=3),

opts.ParallelAxisOpts(dim=3, name='类别',type_='category', data=['A','B']),

]

)

p.add('2015', data, is_smooth=True)

r = np.random.rand(12)

data = [[i, round(j,2), round(m,2), n] for i,j,m,n in zip(range(12),r,np.random.randint(1,3,12)+r, np.random.choice(['A','B'],12))]

p.add('2016', data, is_smooth=True)

p.render_notebook()

桑基图from pyecharts.charts import Sankey

from pyecharts import options as opts

import numpy as np

nodes1 = [{'name':'a%s'%i} for i in range(3)]

nodes2 = [{'name':'b%s'%i} for i in range(3)]

nodes3 = [{'name':'c%s'%i} for i in range(3)]

nodes = nodes1+nodes2+nodes3

nodes

[{‘name’: ‘a0’},

{‘name’: ‘a1’},

{‘name’: ‘a2’},

{‘name’: ‘b0’},

{‘name’: ‘b1’},

{‘name’: ‘b2’},

{‘name’: ‘c0’},

{‘name’: ‘c1’},

{‘name’: ‘c2’}]links1 = [{'source':i['name'],'target':j['name'],'value':int(np.random.randint(1,10))} for i in nodes1 for j in nodes2]

links2 = [{'source':i['name'],'target':j['name'],'value':int(np.random.randint(1,10))} for i in nodes2 for j in nodes3]

links = links1+links2

links[:5]

[{‘source’: ‘a0’, ‘target’: ‘b0’, ‘value’: 8},

{‘source’: ‘a0’, ‘target’: ‘b1’, ‘value’: 9},

{‘source’: ‘a0’, ‘target’: ‘b2’, ‘value’: 3},

{‘source’: ‘a1’, ‘target’: ‘b0’, ‘value’: 2},

{‘source’: ‘a1’, ‘target’: ‘b1’, ‘value’: 6}]s = Sankey(init_opts=opts.InitOpts(height='350px', width='650px'))

s.add(

"sankey", nodes=nodes, links=links,

linestyle_opt=opts.LineStyleOpts(opacity=0.2, curve=0.5, color="source"),

label_opts=opts.LabelOpts(position="right"),

# 选择方向，默认

orient='horizontal',

# 设置每一层的颜色，线型

levels=[opts.SankeyLevelsOpts(

depth=0,

itemstyle_opts=opts.ItemStyleOpts(color='#006699'),

linestyle_opts=opts.LineStyleOpts(color="source", opacity=0.6),

),opts.SankeyLevelsOpts(

depth=1,

itemstyle_opts=opts.ItemStyleOpts(color='#009966'),

linestyle_opts=opts.LineStyleOpts(color="source", opacity=0.6),

),

opts.SankeyLevelsOpts(

depth=2,

itemstyle_opts=opts.ItemStyleOpts(color='#FF9933'),

linestyle_opts=opts.LineStyleOpts(color="source", opacity=0.6),

),

],

)

s .set_global_opts(title_opts=opts.TitleOpts(title="Sankey-基本示例"))

s.render_notebook()

关系图from pyecharts.charts import Graph

cate = [{'name':i} for i in ['A','B','C']]

values=np.random.randint(10,20,20).tolist()

nodes_data = [

{"name": "结点%s"%i, "symbolSize":value*2,'value': value,'category':np.random.randint(0,3)}

for i,value in zip(range(1,21),values)

]

links_data = [

{"source": i.get("name"), "target": j.get("name"), 'value':np.random.randint(1,10)}

for i in nodes_data[0:20:2] for j in nodes_data[1:20:2]

]

# 也可以这样设置：

# nodes_data = [

#     opts.GraphNode(name="结点1", symbol_size=10,value=20), # 节点项：节点名称，节点大小，节点的值

#     opts.GraphNode(name="结点2", symbol_size=20,value=15),

# ]

# links_data = [

#     opts.GraphLink(source="结点1", target="结点2", value=2), # 关系项：主节点，对应的节点，值

#     opts.GraphLink(source="结点1", target="结点4", value=20),

#     opts.GraphLink(source="结点2", target="结点3", value=3),

# ] nodes_data[:5]

[{‘category’: 1, ‘name’: ‘结点1’, ‘symbolSize’: 34, ‘value’: 17},

{‘category’: 2, ‘name’: ‘结点2’, ‘symbolSize’: 38, ‘value’: 19},

{‘category’: 2, ‘name’: ‘结点3’, ‘symbolSize’: 30, ‘value’: 15},

{‘category’: 2, ‘name’: ‘结点4’, ‘symbolSize’: 28, ‘value’: 14},

{‘category’: 2, ‘name’: ‘结点5’, ‘symbolSize’: 28, ‘value’: 14}]links_data[:5]

[{‘source’: ‘结点1’, ‘target’: ‘结点2’, ‘value’: 7},

{‘source’: ‘结点1’, ‘target’: ‘结点4’, ‘value’: 2},

{‘source’: ‘结点1’, ‘target’: ‘结点6’, ‘value’: 8},

{‘source’: ‘结点1’, ‘target’: ‘结点8’, ‘value’: 7},

{‘source’: ‘结点1’, ‘target’: ‘结点10’, ‘value’: 8}]g = Graph(init_opts=opts.InitOpts(height='450px', width='650px'))

g.add(series_name="", # 项目名称

nodes=nodes_data, # 节点数据

links=links_data, # 节点关系数据

categories=cate,

is_rotate_label=True,  # 标签旋转

repulsion=4000, # 斥力值，值越大斥力越大，节点之间越远(最后的图也就越大)

# gravity=0.8，# 引力因子，和上面相反

layout='circular', # 图的布局。可选：'none' 不采用任何布局，使用节点中提供的 x， y 作为节点的位置。 'circular' 环形布局。'force' 力引导布局。

# layout:采用关系力引导布局方式，节点之间的值越大，节点之间也就越近

edge_length=[1,50], # 线的长度，值范围越大，关系亲疏越明显(近的更近)

edge_label=opts.LabelOpts(is_show=False, position="middle"), # 节点之间的边(线)的标签设置

itemstyle_opts=opts.ItemStyleOpts(border_color='black', opacity='0.9'), # 节点样式

#      label_opts=opts.LabelOpts(is_show=True, position='outside', color='black') # 节点上的标签的设置

)

g.set_global_opts(title_opts=opts.TitleOpts(title="关系图示例"),

legend_opts=opts.LegendOpts(pos_right='40px')

#                 visualmap_opts=opts.VisualMapOpts(max_=20)  # 颜色映射根据节点的值，即nodes中的value

)

g.render_notebook()

主题旭日图from pyecharts.charts import Sunburst

colors = ["#CD0000",'#009966','#FF9900']  #第1层颜色：

colors2 = [['#FF6699','#FF9999','#CC3366'],['#00CC33','#66CC00','#339900'],['#FFCC66','#FF9933']]# 第2层颜色

names = [['c1','c2','c3'],['c4','c5','c6'],['c7','c8']]  # 第二层节点名称

values = [[10,15,29],[34,17,26],[20,16]] # 二层节点数值，一层节点可以没有数值，此时为和

level2 = [

[{'name':name[i], 'itemStyle':{'color':color[j]},'value':value[n]}

for i,j,n in zip(range(len(name)),range(len(color)),range(len(value)))]

for name,color,value in zip(names, colors2,values)

]

data = [{'name':i, 'itemStyle':{'color':j}, 'children': m} for i,j,m in zip(['Fruits','Vegetables','Others'],colors,level2)]

data

[{‘children’: [{‘itemStyle’: {‘color’: ‘#FF6699’}, ‘name’: ‘c1’, ‘value’: 10},

{‘itemStyle’: {‘color’: ‘#FF9999’}, ‘name’: ‘c2’, ‘value’: 15},

{‘itemStyle’: {‘color’: ‘#CC3366’}, ‘name’: ‘c3’, ‘value’: 29}],

‘itemStyle’: {‘color’: ‘#CD0000’},

‘name’: ‘Fruits’},

{‘children’: [{‘itemStyle’: {‘color’: ‘#00CC33’}, ‘name’: ‘c4’, ‘value’: 34},

{‘itemStyle’: {‘color’: ‘#66CC00’}, ‘name’: ‘c5’, ‘value’: 17},

{‘itemStyle’: {‘color’: ‘#339900’}, ‘name’: ‘c6’, ‘value’: 26}],

‘itemStyle’: {‘color’: ‘#009966’},

‘name’: ‘Vegetables’},

{‘children’: [{‘itemStyle’: {‘color’: ‘#FFCC66’}, ‘name’: ‘c7’, ‘value’: 20},

{‘itemStyle’: {‘color’: ‘#FF9933’}, ‘name’: ‘c8’, ‘value’: 16}],

‘itemStyle’: {‘color’: ‘#FF9900’},

‘name’: ‘Others’}]sun = Sunburst(init_opts=opts.InitOpts(width="850px", height="350px"))

sun.add('',data_pair=data,

radius=['20%','90%'],

highlight_policy='descendant',  # 指向后高亮其子节点

sort_='desc', # 排序方式

# 层级配置：可选

levels=[

{},  # 里面的空白

{'label':{'rotate':'tangential'}},  # 第一层:标签旋转

{'label':{'position':'outside','padding':3},

"itemStyle": {"borderWidth": 3}

}  # 第二层

]

)

sun.set_global_opts(title_opts=opts.TitleOpts(title="Sunburst"))

sun.render_notebook()

矩形树图from pyecharts.charts import TreeMap

values = [[10,15,29],[34,17,26],[20,16]] # 二层节点数值

names = [['c1','c2','c3'],['c4','c5','c6'],['c7','c8']]  # 第二层节点名称

childs = [

[{'name':name[i], 'value':value[j]} for i,j in zip(range(len(name)),range(len(value)))]

for name,value in zip(names, values)

]

data = [{'name':i, 'value':j, 'children': m} for i,j,m in zip(['Fruits','Vegetables','Others'],[54,77,36],childs)]

data

# [{'value':10,'name':'节点1',

#          'children':[{'value':3,'name':'节点1.子节点1'},

#                      {'value':7,'name':'节点1.子节点2'}

#                     ]

#         },

#        { },

#     ]

[{‘children’: [{‘name’: ‘c1’, ‘value’: 10},

{‘name’: ‘c2’, ‘value’: 15},

{‘name’: ‘c3’, ‘value’: 29}],

‘name’: ‘Fruits’,

‘value’: 54},

{‘children’: [{‘name’: ‘c4’, ‘value’: 34},

{‘name’: ‘c5’, ‘value’: 17},

{‘name’: ‘c6’, ‘value’: 26}],

‘name’: ‘Vegetables’,

‘value’: 77},

{‘children’: [{‘name’: ‘c7’, ‘value’: 20}, {‘name’: ‘c8’, ‘value’: 16}],

‘name’: ‘Others’,

‘value’: 36}]treemap = TreeMap(init_opts=opts.InitOpts(height='450px',width='850px'))

treemap.add(series_name='示例',data=data,leaf_depth=2,

# 设置每一层的

#            levels=[

#                opts.TreeMapLevelsOpts(color_mapping_by='value'),

#                opts.TreeMapLevelsOpts(color_mapping_by='value'),

#            ]

)

treemap.set_global_opts(title_opts=opts.TitleOpts(title='矩形树图'))

treemap.render_notebook()