def Treemap():
treemap = TreeMap("树图示例", width=1200, height=600)
import json
with open("/root/nms_lqx/nms_dev/static/json/treemap-drill-down.json", "r", encoding="utf-8") as f:
data = json.load(f)
treemap.add("演示数据", data, is_label_show=True, label_pos='inside')
return treemap
def test_treemap_offcical_data():
treemap = TreeMap("树图-官方数据", width=1200, height=600)
import os
import json
if PY2:
import codecs
test_fixture = os.path.join("..", "json", "treemap.json")
with codecs.open(test_fixture, "rb") as f:
data = json.load(f)
else:
with open(os.path.join("..", "json", "treemap.json"),
"r", encoding="utf-8") as f:
data = json.load(f)
treemap.add("演示数据", data, is_label_show=True, label_pos='inside')
treemap.render()
def education_show():
education_table = {}
education_df = df['学历要求']
education_list = education_df.tolist()
for x in list(set(education_list)):
education_table[x] = education_list.count(x)
keys = []
values = []
for k, v in education_table.items():
keys.append(k)
values.append(v)
data = []
for i in range(len(keys)):
dict_01 = {}
dict_01["value"] = values[i]
dict_01["name"] = keys[i]
data.append(dict_01)
tree_map = TreeMap("学历要求", width=900)
tree_map.add("学历要求",
data,
center=[40, 60],
is_legend_show=False,
is_label_show=True,
label_pos='inside')
tree_map.render(path="education.html")
def test_treemap_drilldown():
treemap = TreeMap("树图-下钻示例", width=1200, height=600)
treemap.add("演示数据",
data,
is_label_show=True,
label_pos='inside',
treemap_left_depth=1)
treemap.render()
def plot_tree(self, depth=3):
from pyecharts import TreeMap
data = self.describe_tree(self.tree_)
tree_map = TreeMap(self.name, "", width=800, height=500)
tree_map.use_theme("dark")
tree_map.add(self.name, data, is_label_show=True, label_pos='inside', treemap_left_depth=depth)
return tree_map
def showTreeMap(self, title, data):
from pyecharts import TreeMap
data = data
treemap = TreeMap(title, width=1200, height=600)
treemap.add("深圳",
data,
is_label_show=True,
label_pos='inside',
label_text_size=19)
treemap.render()
def test_treemap_offcical_data():
treemap = TreeMap("树图-官方数据", width=1200, height=600)
import os
import json
import codecs
test_fixture = os.path.join("fixtures", "treemap.json")
with codecs.open(test_fixture, "r", encoding="utf-8") as f:
data = json.load(f)
treemap.add("演示数据", data, is_label_show=True, label_pos="inside")
treemap.render()
def education(self):
print('{}:学历占比图 正在生成中。。。。。。。。。。。'.format(self.position))
edu = ['本科', '大专', '应届毕业生', '硕士', '博士']
data = []
# search_name = lagou.find({'search_name':position})
for i in edu:
edu_count = self.lagou.count({'education': i, 'search_name': self.position})
# print(edu_count)
data.append({'value': edu_count, 'name': i})
tree_map = TreeMap("{}学历要求".format(self.position), width=1200, height=600)
tree_map.add('学历水平', data, is_label_show=True, label_pos='inside')
tree_map.render('{}_学历.html'.format(self.position))
def showTreeMap(self, title, data):
from pyecharts import TreeMap
data = data
treemap = TreeMap(title, width=1200, height=600)
treemap.add("广州",
data,
is_label_show=True,
label_pos='inside',
label_text_size=19)
treemap.render(
r"c:\Users\Administrator\graduation design\spiderResult1\广州各区每平每月房租单价统计.html"
)
def tree_map():
with open("../data/GDP_data_1.json", encoding="utf-8") as f:
data_lzx = json.load(f)
tree_map_lzx = TreeMap(title="2017年世界各个国家和地区的GDP-李兆旭",
width=1000,
height=600)
tree_map_lzx.add(name="七大洲",
data=data_lzx,
is_label_show=True,
label_pos="inside",
treemap_left_depth=1)
tree_map_lzx.render("TreeMapChart.html")
def CompanyAnalysis(self, items):
loca_data = items['company']
list_data = set(loca_data)
treemap_data = {}
for item in list_data:
treemap_data[item] = loca_data.count(item)
print(treemap_data)
data = self.getTreeData(treemap_data) # 转换为相应的TreeMap数据
print(data)
treemap = TreeMap("重庆医疗相关公司分布图", width=1500, height=900, title_pos="center")
treemap.add("公司数据", data, is_label_show=True, label_pos='inside', label_text_color='#000', is_legend_show=False)
treemap.render()
def SalaryTreeAnalysis(self, items):
salary_name = items['name']
salary_data = items['salaryMid']
salary_set = set(salary_name)
treemap_data = {}
for item in salary_set:
treemap_data[item] = salary_data
print(treemap_data)
data = self.getTreeData(treemap_data) # 转换为相应的TreeMap数据
print(data)
treemap = TreeMap("重庆医疗职位工资分布图", width=1500, height=900, title_pos="center")
treemap.add("职位数据", data, is_label_show=True, label_pos='inside', label_text_color='#000', is_legend_show=False)
treemap.render()
def plot(txtaddress, filepath):
"""
@Author: Haoyang Ding
plot the interactive treemap html
:param txtaddress: txt file address, string
:return: None
"""
from pyecharts import TreeMap
f = open(txtaddress, 'r')
a = f.read()
tree = eval(a)
f.close()
counter = 0
for i in range(len(tree)):
counter += tree[i]["value"]
for i in range(len(tree)):
tree[i]["value"] = tree[i]["value"] / counter
# change the ratio from region to global
for i in tree:
for j in i["children"]:
j["value"] = j["value"] * i["value"]
bcounter = round(counter / pow(10, 9))
def label(params):
return params.name + "\n" + window.parseFloat(
params.value * 100).toFixed(2) + r"%" + " " + "co2 emission"
treemap = TreeMap(width=800,
height=800,
title_text_size=24,
is_animation=True,
renderer="canvas")
treemap.add("Co2 emission in 10 years",
tree,
is_random=False,
is_legend_show=True,
line_opacity=0.5,
is_label_show=True,
label_pos="inside",
legend_orient="vertical",
label_formatter=label,
is_more_utils=True,
label_text_size=24)
treemap.render(path=filepath)
def test_treemap_offcical_data():
treemap = TreeMap("树图-官方数据", width=1200, height=600)
import os
import json
if PY2:
import codecs
with codecs.open(os.path.join("..", "json", "treemap.json"),
"rb") as f:
data = json.load(f)
else:
with open(os.path.join("..", "json", "treemap.json"),
"r",
encoding="utf-8") as f:
data = json.load(f)
treemap.add("演示数据", data, is_label_show=True, label_pos='inside')
treemap.render()
def create_type_likes(df):
"""
类型点赞数
"""
dom = []
print(df)
likes_type_message = df.groupby(['type'])
likes_type_com = likes_type_message['likes'].agg(['sum']) # 统计
likes_type_com.reset_index(inplace=True)
for name, num in zip(likes_type_com['type'], likes_type_com['sum']):
data = {}
data['name'] = name
data['value'] = num
dom.append(data)
# 生成矩形树图
treemap = TreeMap('各类型抖音大V点赞数汇总图', title_pos='center', title_top='5', width=800, height=400)
treemap.add('各类型抖音大V点赞数汇总图', dom, is_label_show=True, label_pos='inside', is_legend_show=False)
treemap.render('各类型抖音大V点赞数汇总图.html')
def plot_education_tree():
education = read_detail_data_from_csv('Python爬虫.csv', col=1)
education_table = {}
for x in education:
education_table[x] = education.count(x)
key = []
values = []
for k, v in education_table.items():
key.append(k)
values.append(v)
data = []
for i in range(len(key)):
dict_01 = {'value': values[i], 'name': key[i]}
data.append(dict_01)
tree_map = TreeMap('矩形树图', width=1200, height=600)
tree_map.add('学历要求', data, is_label_show=True, label_pos='inside')
tree_map.render('tree.html')
num += 1
else:
continue
dom2.append(num)
def message():
for k in range(len(dom2)):
data = {}
data['name'] = dom1[k] + ' ' + str(dom2[k])
data['value'] = dom2[k]
yield data
data1 = message()
dom3 = []
for item in data1:
dom3.append(item)
treemap = TreeMap("2018年电影类型分布图",
title_pos='center',
title_top='5',
width=800,
height=400)
treemap.add('2018年电影类型分布',
dom3,
is_label_show=True,
label_pos='inside',
is_legend_show=False)
treemap.render('2018年电影类型分布图.html')
num += 1
else:
continue
dom2.append(num)
def message():
for k in range(len(dom2)):
data = {}
data['name'] = dom1[k] + ' ' + str(dom2[k])
data['value'] = dom2[k]
yield data
data1 = message()
dom3 = []
for item in data1:
dom3.append(item)
treemap = TreeMap("拉勾网数据分析岗—技能图",
title_pos='center',
title_top='5',
width=1200,
height=600)
treemap.use_theme("wonderland")
treemap.add('数据分析技能',
dom3,
is_label_show=True,
label_pos='inside',
is_legend_show=False)
treemap.render('拉勾网数据分析岗—技能图.html')
def test_treemap_default():
treemap = TreeMap("树图-默认示例", width=1200, height=600)
treemap.add("演示数据", data, is_label_show=True, label_pos="inside")
treemap.render()
overlap.add(line)
overlap.add(bar, yaxis_index=1, is_add_yaxis=True)
overlap.render('TOP20女演员评分_出生年份.html')
## 星座分布图
from pyecharts import TreeMap, WordCloud
star_stat = actor_data.groupby('xingzuo').agg({
'name': 'count'
}).reset_index().sort_values('name', ascending=False)[0:12].reset_index()
data = [{
'value': star_stat['name'][i],
'name': star_stat['xingzuo'][i] + ' ' + str(star_stat['name'][i])
} for i in range(star_stat.shape[0])]
treemap = TreeMap("星座分布图", width=1200, height=600)
treemap.add("星座分布", data, is_label_show=True, label_pos='inside')
treemap.render('星座分布.html')
## 城市分布图
city_stat = actor_data.groupby('hometown').agg({'name': 'count'}).reset_index()
city_stat = city_stat[~city_stat['hometown'].isin(['香港', '台湾'])].sort_values(
'name', ascending=False)[0:30].reset_index()
data = [{
'value': city_stat['name'][i],
'name': city_stat['hometown'][i] + ' ' + str(city_stat['name'][i])
} for i in range(city_stat.shape[0])]
treemap = TreeMap("TOP30城市分布图", width=1500, height=900)
treemap.add("TOP30城市分布", data, is_label_show=True, label_pos='inside')
treemap.render('城市分布.html')
def test_treemap_drilldown():
treemap = TreeMap("树图-下钻示例", width=1200, height=600)
treemap.add("演示数据", data, is_label_show=True, label_pos='inside',
treemap_left_depth=1)
treemap.render()
def test_treemap():
data = [{
"value": 40,
"name": "我是A",
}, {
"value":
180,
"name":
"我是B",
"children": [{
"value":
76,
"name":
"我是B.children",
"children": [{
"value": 12,
"name": "我是B.children.a",
}, {
"value": 28,
"name": "我是B.children.b",
}, {
"value": 20,
"name": "我是B.children.c",
}, {
"value": 16,
"name": "我是B.children.d",
}]
}]
}]
# 默认示例
treemap = TreeMap("树图示例", width=1200, height=600)
treemap.add("演示数据", data, is_label_show=True, label_pos='inside')
treemap.render()
# 下钻示例
treemap = TreeMap("树图示例", width=1200, height=600)
treemap.add("演示数据",
data,
is_label_show=True,
label_pos='inside',
treemap_left_depth=1)
treemap.render()
if type2[j] == item:
num += 1
else:
continue
dom2.append(num)
def message():
for k in range(len(dom2)):
data = {}
data['name'] = dom1[k] + ' ' + str(dom2[k])
data['value'] = dom2[k]
yield data
data1 = message()
dom3 = []
for item in data1:
dom3.append(item)
treemap = TreeMap("拉勾网数据挖掘岗—技能图",
title_pos='center',
title_top='5',
width=800,
height=400)
treemap.add('数据挖掘技能',
dom3,
is_label_show=True,
label_pos='inside',
is_legend_show=False)
treemap.render('拉勾网数据挖掘岗—技能图.html')
def test_treemap_default():
treemap = TreeMap("树图-默认示例", width=1200, height=600)
treemap.add("演示数据", data, is_label_show=True, label_pos='inside')
treemap.render()
res = j.split(' ')
for re in res:
if re == k:
num += 1
dom3.append(num)
def message():
# 生成字典形式
for p in range(len(dom2)):
data = {}
data['name'] = dom2[p] + ' ' + str(dom3[p])
data['value'] = dom3[p]
yield data
# 生成类型图
data = message()
for item in data:
dom4.append(item)
treemap = TreeMap("豆瓣电影TOP250-电影类型图",
title_pos='center',
title_top='5',
width=800,
height=400)
treemap.add('电影类型',
dom4,
is_label_show=True,
label_pos='inside',
is_legend_show=False)
treemap.render('豆瓣电影TOP250电影类型图.html')
def create_charts():
page = Page()
style = Style(width=WIDTH, height=HEIGHT)
df = pd.read_csv('./Cluster_Result_Visualization.csv')
chart = Scatter("PCA & K-means", **style.init_style)
for name, group in df.groupby('Class'):
if name == 0:
sym = 'pin'
elif name == 1:
sym = 'triangle'
else:
sym = 'rect'
x_l = []
y_l = []
c_l = []
for i in range(len(group)):
x_l.append(round(float(group.iloc[i]['X']), 2))
y_l.append(round(float(group.iloc[i]['Y']), 2))
c_l.append(group.iloc[i]['COMMUNITY_NAME'])
chart.add(str(name),
x_l,
y_l,
extra_name=c_l,
symbol_size=20,
effect_scale=3.5,
effect_period=3,
symbol=sym)
page.add(chart)
data = [{
"value":
23,
"name":
"市政设置",
"children": [{
"value":
20,
"name":
"组织人事",
"children": [{
"value": 2,
"name": "group A",
}, {
"value": 18,
"name": "group B",
}]
}, {
"value": 3,
"name": "group C",
}]
}]
chart = TreeMap("Decision Tree", width=WIDTH, height=HEIGHT)
chart.add("事件",
data,
is_label_show=True,
label_pos='inside',
treemap_left_depth=1)
page.add(chart)
return page