pyecharts official in February 28 released a new version 1.7, the most important is to improve the Map3D:
specific look: http://pyecharts.org/#/zh-cn/3d_charts?id=map3d- three-dimensional map
that this really fun, just today, before my article pyecharts achieve a new crown pneumonia epidemic visualize and build BI data large screen (Plus) have a brother commented that the code can not be used ... harm, of course, can not be used, (TX page has changed chant ) I turn over once the middle ...
So take advantage of this Friday night, I want to continue my project that changes, he then went to look at the page ... the BUT , enlightened look surprised!
Look here, the previous data are gone! ! ! ! ! ! ! ! This ...
previous day's data is gone, it is no way, ah, these data are the soul of my BI data big screen, ah, no there is no way, there is no such data, it will also be built out of the BI cents meaningless.
So I changed directions, because before are flat (two-dimensional), since an official three-dimensional, then I would change the existing data visualization three-dimensional bar ...
The old rules, first on the finished product, after the code:
motion picture is not very clear, here put a static:
(PS: I'm here to visualize the cumulative number of confirmed)
Demo:
import json
import requests
import pandas as pd
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
from pyecharts.globals import ThemeType, ChartType
reponse = requests.get('https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5').json()
data = json.loads(reponse['data'])
province = []
confirm = []
for item in data['areaTree'][0]['children']:
province.append(item['name'])
confirm.append(item['total']['confirm'])
china_data = pd.DataFrame({"province": province, "confirm": confirm})
dicts_all = {'黑龙江': [127.9688, 45.368], '上海': [121.4648, 31.2891],
'内蒙古': [110.3467, 41.4899], '吉林': [125.8154, 44.2584],
'辽宁': [123.1238, 42.1216], '河北': [114.4995, 38.1006],
'天津': [117.4219, 39.4189], '山西': [112.3352, 37.9413],
'陕西': [109.1162, 34.2004], '甘肃': [103.5901, 36.3043],
'宁夏': [106.3586, 38.1775], '青海': [101.4038, 36.8207],
'新疆': [87.9236, 43.5883], '西藏': [91.11, 29.97],
'四川': [103.9526, 30.7617], '重庆': [108.384366, 30.439702],
'山东': [117.1582, 36.8701], '河南': [113.4668, 34.6234],
'江苏': [118.8062, 31.9208], '安徽': [117.29, 32.0581],
'湖北': [114.3896, 30.6628], '浙江': [119.5313, 29.8773],
'福建': [119.4543, 25.9222], '江西': [116.0046, 28.6633],
'湖南': [113.0823, 28.2568], '贵州': [106.6992, 26.7682],
'广西': [108.479, 23.1152], '海南': [110.3893, 19.8516],
'广东': [113.28064, 23.125177], '北京': [116.405289, 39.904987],
'云南': [102.71225, 25.040609], '香港': [114.165460, 22.275340],
'澳门': [113.549130, 22.198750], '台湾': [121.5200760, 25.0307240]}
for item in [list(z) for z in zip(china_data['province'], china_data['confirm'])]:
dicts_all[item[0]].append(item[1])
(Map3D()
.add_schema(
itemstyle_opts=opts.ItemStyleOpts(
color="rgb(5,101,123)",
opacity=1,
border_width=0.8,
border_color="rgb(62,215,213)"),
map3d_label=opts.Map3DLabelOpts(
is_show=False,
formatter=JsCode(
"function(data){return data.name + " " + data.value[2];}")),
emphasis_label_opts=opts.LabelOpts(
is_show=False,
color="#fff",
font_size=10,
background_color="rgba(0,23,11,0)"),
light_opts=opts.Map3DLightOpts(
main_color="#fff",
main_intensity=1.2,
main_shadow_quality="high",
is_main_shadow=False,
main_beta=10,
ambient_intensity=0.3))
.add(
series_name="bar3D",
data_pair=list(zip(list(dicts_all.keys()), list(dicts_all.values()))),
type_=ChartType.BAR3D,
bar_size=1,
shading="lambert",
label_opts=opts.LabelOpts(
is_show=True,
formatter=JsCode(
"function(data){return data.name + ' ' + data.value[2];}")))
.set_global_opts(title_opts=opts.TitleOpts(title="COVID-19全国疫情分布图"))).render("render.html")
In fact, I think the previous data have been emptied, because one is too long, have 100 days, and has been hanging here also lacks meaning ... and, most important point is that the efforts of people across the country, the epidemic under control, because until recently the number of new followers per day and more than half of that will be completely immeasurably ah, not even a fraction of the ... still have to once again thank fighting on the front lines of health care workers, including the police, the driver drops, Takeout brother, social service workers, volunteers, community workers and so on ... there are caring people in the community behind or donate money or money and materials, including every stay home "to contribute" in everyone ❤ ; everyone for this "Contagion" struggle, we also believe that everything will be as before ...
