一认识json格式
json就是在大列表里放入字典的数据格式，不像csv格式可以通过Excel打开
二在python中导入json数据
1
import json
filename = 'data/all_week.geojson'
with open(filename) as f:
all_eq_data = json.load(f)
# 计算共有多少场地震被记录
all_eq_dicts = all_eq_data['features']
print(len(all_eq_dicts))
mags,titles,lons,lats = [],[],[],[]
for eq_dict in all_eq_dicts:
mag = eq_dict['properties']['mag']
title = eq_dict['properties']['title']
lon = eq_dict['geometry']['coordinates'][0]
lat = eq_dict['geometry']['coordinates'][1]
mags.append(mag)
titles.append(title)
lons.append(lon)
lats.append(lat)
代码解释：json.load()将json文档处理处python好理解的数据
三图像化数据
import json
filename = 'data/all_week.geojson'
with open(filename) as f:
all_eq_data = json.load(f)
# 计算共有多少场地震被记录
all_eq_dicts = all_eq_data['features']
print(len(all_eq_dicts))
mags,titles,lons,lats = [],[],[],[]
for eq_dict in all_eq_dicts:
mag = eq_dict['properties']['mag']
title = eq_dict['properties']['title']
lon = eq_dict['geometry']['coordinates'][0]
lat = eq_dict['geometry']['coordinates'][1]
mags.append(mag)
titles.append(title)
lons.append(lon)
lats.append(lat)
import plotly.express as px
import pandas as pd
data = pd.DataFrame(
data = zip(lons,lats,titles,mags), columns=['经度','纬度','位置','震级']
)
data.head()
fig = px.scatter(
data,
x='经度',
y='纬度',
range_x=[-200,200],
range_y=[-90,90],
width=800,
height=800,
title='全球地震散点图',
color='震级',
hover_name='位置',
)
fig.write_html('global_earthquakes.html')
fig.show()
color是图像漂亮的关键
？size这个参数在现版本python中无效
