PYECHARTS 实战国内/国际地图航线图制作（一）

项目背景

跨国公司拥有跨境运输和国内运输两种模式，希望通过地图直观的表现出航线，并可视化出不同的运输方式。

国际航线：

准备步骤接入要使用到的包

from pyecharts import options as opts
from pyecharts.charts import Geo
from pyecharts.globals import ChartType, SymbolType
from pyecharts.charts import Map
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType
import os
import numpy as np
import pandas as pd

第一步数据清理: 从复杂的进出口表中选取需要的信息,如起始点，终点，运输方式等

inbound_raw_data=pd.read_excel(路径)
inbound_filtered=inbound_raw_data[['Supplier','Sea/Air','FG W']]
inbound_filtered['Destination']='China'
inbound_filtered=inbound_filtered.rename(columns={'Supplier':'origin','Sea/Air':'Transportation'})
#讲字段的大小写统一
Trans_map={'Air':'AIR','Sea':'SEA','Train':'TRAIN','AIR':'AIR','SEA':'SEA','TRAIN':'TRAIN'}
inbound_filtered['Transportation']=inbound_filtered['Transportation'].map(Trans_map)
inbound_group=inbound_filtered.groupby(['origin','Transportation','Destination'],as_index=False).agg({'FG W':sum})
print(inbound_group.head())countries_map={'FRANCE':'France','JAPAN':'Japan','KOREA':'Korea','SINGAPORE':'Singapore','SPAIN':'Spain','USA':'United States','HONGKONG':'Hongkong','INDONESIA':'Indonesia','MALAYSIA':'Malaysia','France':'France'}
inbound_group['origin']=inbound_group['origin'].map(countries_map)

第二步将处理好的数据转化为一一对应的列表。

inbound_all_weight=inbound_group.drop(columns=['Transportation','Destination'])
inbound_Air_line=inbound_Air.drop(columns=['Transportation','FG W'])inbound_all_weight=inbound_all_weight.groupby(['origin'],as_index=False).sum()
print(inbound_all_weight)
#Data1是起始地点的载货重量 所以只需要orgin和weight 一一对应
data1=[]for index in range(len(inbound_all_weight)):city_ionfo=[inbound_all_weight['origin'].values[index],inbound_all_weight['FG W'].values[index]]data1.append(city_ionfo)#Data2是起止地点
data2=[]
for index in range(len(inbound_Air_line)):city_ionfo_2=[inbound_Air_line['origin'].values[index],inbound_Air_line['Destination'].values[index]]data2.append(city_ionfo_2)
print(data2)

第三步将海运和陆运也标记上

inbound_Sea=inbound_group.query('Transportation=="SEA"')
inbound_Sea_line=inbound_Sea.drop(columns=['Transportation','FG W'])
inbound_Sea_line=inbound_Sea_line.dropna()
inbound_Sea_line=inbound_Sea_line.drop_duplicates(['origin'])
data3=[]
for index in range(len(inbound_Sea_line)):city_ionfo_3=[inbound_Sea_line['origin'].values[index],inbound_Sea_line['Destination'].values[index]]data3.append(city_ionfo_3)
print(data3)inbound_train=inbound_group.query('Transportation=="TRAIN"')
inbound_train_line=inbound_train.drop(columns=['Transportation','FG W'])
inbound_train_line=inbound_train_line.dropna()
data4=[]
for index in range(len(inbound_train_line)):city_ionfo_4=[inbound_train_line['origin'].values[index],inbound_train_line['Destination'].values[index]]data4.append(city_ionfo_4)
print(data4)

第四步 Echarts的Geo模块处理国内的数据很简单使用对应的城市名可以自动定位，但是国际城市需要自己添加经纬度。使用add_coordinate

geo = Geo()
geo.add_coordinate(name="China",longitude=120.6,latitude=31.3)
geo.add_coordinate(name="France",longitude=2.2,latitude=48.52)
geo.add_coordinate(name="Japan",longitude=138.4,latitude=34.8)
geo.add_coordinate(name="Korea",longitude=126.58,latitude=37.33)
geo.add_coordinate(name="Singapore",longitude=103.51,latitude=1.18)
geo.add_coordinate(name="Spain",longitude=3.45,latitude=40.25)
geo.add_coordinate(name="United States",longitude=-100.696295,latitude=33.6)
geo.add_coordinate(name="Hongkong",longitude=114.15,latitude=22.15)
geo.add_coordinate(name="Indonesia",longitude=106.45,latitude=-6.1)
geo.add_coordinate(name="Malaysia",longitude=101.42,latitude=3.08)

#获取小图标用于区分运输方式，用字典储存
symbol_dict = {'airplane': 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z','reindeer': 'path://M-22.788,24.521c2.08-0.986,3.611-3.905,4.984-5.892 c-2.686,2.782-5.047,5.884-9.102,7.312c-0.992,0.005-0.25-2.016,0.34-2.362l1.852-0.41c0.564-0.218,0.785-0.842,0.902-1.347 c2.133-0.727,4.91-4.129,6.031-6.194c1.748-0.7,4.443-0.679,5.734-2.293c1.176-1.468,0.393-3.992,1.215-6.557 c0.24-0.754,0.574-1.581,1.008-2.293c-0.611,0.011-1.348-0.061-1.959-0.608c-1.391-1.245-0.785-2.086-1.297-3.313 c1.684,0.744,2.5,2.584,4.426,2.586C-8.46,3.012-8.255,2.901-8.04,2.824c6.031-  1.952,15.182-0.165,19.498-3.937 c1.15-3.933-1.24-9.846-1.229-9.938c0.008-0.062-1.314-0.004-1.803-0.258c-1.119-0.771-6.531-3.75-0.17-3.33 c0.314-0.045,0.943,0.259,1.439,0.435c-0.289-1.694-0.92-0.144-3.311-1.946c0,0-1.1-0.855-1.764-1.98 c-0.836-1.09-2.01-2.825-2.992-4.031c-1.523-2.476,1.367,0.709,1.816,1.108c1.768,1.704,1.844,3.281,3.232,3.983 c0.195,0.203,1.453,0.164,0.926-0.468c-0.525-0.632-1.367-1.278-1.775-2.341c-0.293-0.703-1.311-2.326-1.566-2.711 c-0.256-0.384-0.959-1.718-1.67-2.351c-1.047-1.187-0.268-0.902,0.521-0.07c0.789,0.834,1.537,1.821,1.672,2.023 c0.135,0.203,1.584,2.521,1.725,2.387c0.102-0.259-0.035-0.428-0.158-0.852c-0.125-0.423-0.912-2.032-0.961-2.083 c-0.357-0.852-0.566-1.908-0.598-3.333c0.4-2.375,0.648-2.486,0.549-0.705c0.014,1.143,0.031,2.215,0.602,3.247 c0.807,1.496,1.764,4.064,1.836,4.474c0.561,3.176,2.904,1.749,2.281-0.126c-0.068-0.446-0.109-2.014-0.287-2.862 c-0.18-0.849-0.219-1.688-0.113-3.056c0.066-1.389,0.232-2.055,0.277-2.299c0.285-1.023,0.4-1.088,0.408,0.135 c-0.059,0.399-0.131,1.687-0.125,2.655c0.064,0.642-0.043,1.768,0.172,2.486c0.654,1.928-0.027,3.496,1,3.514 c1.805-0.424,2.428-1.218,2.428-2.346c-0.086-0.704-0.121-0.843-0.031-1.193c0.221-0.568,0.359-0.67,0.312-0.076 c-0.055,0.287,0.031,0.533,0.082,0.794c0.264,1.197,0.912,0.114,1.283-0.782c0.15-0.238,0.539-2.154,0.545-2.522 c-0.023-0.617,0.285-0.645,0.309,0.01c0.064,0.422-0.248,2.646-0.205,2.334c-0.338,1.24-1.105,3.402-3.379,4.712 c-0.389,0.12-1.186,1.286-3.328,2.178c0,0,1.729,0.321,3.156,0.246c1.102-0.19,3.707-0.027,4.654,0.269 c1.752,0.494,1.531-0.053,4.084,0.164c2.26-0.4,2.154,2.391-1.496,3.68c-2.549,1.405-3.107,1.475-2.293,2.984 c3.484,7.906,2.865,13.183,2.193,16.466c2.41,0.271,5.732-0.62,7.301,0.725c0.506,0.333,0.648,1.866-0.457,2.86 c-4.105,2.745-9.283,7.022-13.904,7.662c-0.977-0.194,0.156-2.025,0.803-2.247l1.898-0.03c0.596-0.101,0.936-0.669,1.152-1.139 c3.16-0.404,5.045-3.775,8.246-4.818c-4.035-0.718-9.588,3.981-12.162,1.051c-5.043,1.423-11.449,1.84-15.895,1.111 c-3.105,2.687-7.934,4.021-12.115,5.866c-3.271,3.511-5.188,8.086-9.967,10.414c-0.986,0.119-0.48-1.974,0.066-2.385l1.795-0.618 C-22.995,25.682-22.849,25.035-22.788,24.521z','plane': 'path://M1.112,32.559l2.998,1.205l-2.882,2.268l-2.215-0.012L1.112,32.559z M37.803,23.96 c0.158-0.838,0.5-1.509,0.961-1.904c-0.096-0.037-0.205-0.071-0.344-0.071c-0.777-0.005-2.068-0.009-3.047-0.009 c-0.633,0-1.217,0.066-1.754,0.18l2.199,1.804H37.803z M39.738,23.036c-0.111,0-0.377,0.325-0.537,0.924h1.076 C40.115,23.361,39.854,23.036,39.738,23.036z M39.934,39.867c-0.166,0-0.674,0.705-0.674,1.986s0.506,1.986,0.674,1.986 s0.672-0.705,0.672-1.986S40.102,39.867,39.934,39.867z M38.963,38.889c-0.098-0.038-0.209-0.07-0.348-0.073 c-0.082,0-0.174,0-0.268-0.001l-7.127,4.671c0.879,0.821,2.42,1.417,4.348,1.417c0.979,0,2.27-0.006,3.047-0.01 c0.139,0,0.25-0.034,0.348-0.072c-0.646-0.555-1.07-1.643-1.07-2.967C37.891,40.529,38.316,39.441,38.963,38.889z M32.713,23.96 l-12.37-10.116l-4.693-0.004c0,0,4,8.222,4.827,10.121H32.713z M59.311,32.374c-0.248,2.104-5.305,3.172-8.018,3.172H39.629 l-25.325,16.61L9.607,52.16c0,0,6.687-8.479,7.95-10.207c1.17-1.6,3.019-3.699,3.027-6.407h-2.138 c-5.839,0-13.816-3.789-18.472-5.583c-2.818-1.085-2.396-4.04-0.031-4.04h0.039l-3.299-11.371h3.617c0,0,4.352,5.696,5.846,7.5 c2,2.416,4.503,3.678,8.228,3.87h30.727c2.17,0,4.311,0.417,6.252,1.046c3.49,1.175,5.863,2.7,7.199,4.027 C59.145,31.584,59.352,32.025,59.311,32.374z M22.069,30.408c0-0.815-0.661-1.475-1.469-1.475c-0.812,0-1.471,0.66-1.471,1.475 s0.658,1.475,1.471,1.475C21.408,31.883,22.069,31.224,22.069,30.408z M27.06,30.408c0-0.815-0.656-1.478-1.466-1.478 c-0.812,0-1.471,0.662-1.471,1.478s0.658,1.477,1.471,1.477C26.404,31.885,27.06,31.224,27.06,30.408z M32.055,30.408 c0-0.815-0.66-1.475-1.469-1.475c-0.808,0-1.466,0.66-1.466,1.475s0.658,1.475,1.466,1.475 C31.398,31.883,32.055,31.224,32.055,30.408z M37.049,30.408c0-0.815-0.658-1.478-1.467-1.478c-0.812,0-1.469,0.662-1.469,1.478 s0.656,1.477,1.469,1.477C36.389,31.885,37.049,31.224,37.049,30.408z M42.039,30.408c0-0.815-0.656-1.478-1.465-1.478 c-0.811,0-1.469,0.662-1.469,1.478s0.658,1.477,1.469,1.477C41.383,31.885,42.039,31.224,42.039,30.408z M55.479,30.565 c-0.701-0.436-1.568-0.896-2.627-1.347c-0.613,0.289-1.551,0.476-2.73,0.476c-1.527,0-1.639,2.263,0.164,2.316 C52.389,32.074,54.627,31.373,55.479,30.565z','train': 'path://M439.182 151.04h145.636c20.389 0 36.409-16.02 36.409-36.409s-16.02-36.409-36.41-36.409H439.183c-20.389 0-36.409 16.02-36.409 36.41s16.02 36.408 36.41 36.408zM759.58 952.036H876.09l-109.227-115.78c42.235-15.292 72.818-55.342 72.818-102.674V296.676c0-60.44-49.516-109.227-109.227-109.227H293.547c-60.44 0-109.227 49.516-109.227 109.227v436.906c0 47.332 30.583 88.11 72.818 102.673L147.91 952.035H264.42l103.4-109.226h288.36l103.4 109.227zM268.06 362.212c0-40.05 32.768-72.818 72.818-72.818h342.244c40.05 0 72.818 32.768 72.818 72.818v123.79c0 40.05-32.768 72.818-72.818 72.818H340.878c-40.05 0-72.818-32.768-72.818-72.818v-123.79z m83.74 400.497c-32.039 0-58.253-26.214-58.253-58.254s26.214-58.254 58.254-58.254 58.254 26.214 58.254 58.254-26.214 58.254-58.254 58.254z m262.145-58.254c0-32.04 26.214-58.254 58.254-58.254s58.254 26.214 58.254 58.254S704.24 762.71 672.2 762.71s-58.254-26.214-58.254-58.254z','ship': 'path://M16.678,17.086h9.854l-2.703,5.912c5.596,2.428,11.155,5.575,16.711,8.607c3.387,1.847,6.967,3.75,10.541,5.375 v-6.16l-4.197-2.763v-5.318L33.064,12.197h-11.48L20.43,15.24h-4.533l-1.266,3.286l0.781,0.345L16.678,17.086z M49.6,31.84 l0.047,1.273L27.438,20.998l0.799-1.734L49.6,31.84z M33.031,15.1l12.889,8.82l0.027,0.769L32.551,16.1L33.031,15.1z M22.377,14.045 h9.846l-1.539,3.365l-2.287-1.498h1.371l0.721-1.352h-2.023l-0.553,1.037l-0.541-0.357h-0.34l0.359-0.684h-2.025l-0.361,0.684 h-3.473L22.377,14.045z M23.695,20.678l-0.004,0.004h0.004V20.678z M24.828,18.199h-2.031l-0.719,1.358h2.029L24.828,18.199z  M40.385,34.227c-12.85-7.009-25.729-14.667-38.971-12.527c1.26,8.809,9.08,16.201,8.213,24.328 c-0.553,4.062-3.111,0.828-3.303,7.137c15.799,0,32.379,0,48.166,0l0.066-4.195l1.477-7.23 C50.842,39.812,45.393,36.961,40.385,34.227z M13.99,35.954c-1.213,0-2.195-1.353-2.195-3.035c0-1.665,0.98-3.017,2.195-3.017 c1.219,0,2.195,1.352,2.195,3.017C16.186,34.604,15.213,35.954,13.99,35.954z M23.691,20.682h-2.02l-0.588,1.351h2.023 L23.691,20.682z M19.697,18.199l-0.721,1.358h2.025l0.727-1.358H19.697z','car': 'path://M49.592,40.883c-0.053,0.354-0.139,0.697-0.268,0.963c-0.232,0.475-0.455,0.519-1.334,0.475 c-1.135-0.053-2.764,0-4.484,0.068c0,0.476,0.018,0.697,0.018,0.697c0.111,1.299,0.697,1.342,0.931,1.342h3.7 c0.326,0,0.628,0,0.861-0.154c0.301-0.196,0.43-0.772,0.543-1.78c0.017-0.146,0.025-0.336,0.033-0.56v-0.01 c0-0.068,0.008-0.154,0.008-0.25V41.58l0,0C49.6,41.348,49.6,41.09,49.592,40.883L49.592,40.883z M6.057,40.883 c0.053,0.354,0.137,0.697,0.268,0.963c0.23,0.475,0.455,0.519,1.334,0.475c1.137-0.053,2.762,0,4.484,0.068 c0,0.476-0.018,0.697-0.018,0.697c-0.111,1.299-0.697,1.342-0.93,1.342h-3.7c-0.328,0-0.602,0-0.861-0.154 c-0.309-0.18-0.43-0.772-0.541-1.78c-0.018-0.146-0.027-0.336-0.035-0.56v-0.01c0-0.068-0.008-0.154-0.008-0.25V41.58l0,0 C6.057,41.348,6.057,41.09,6.057,40.883L6.057,40.883z M49.867,32.766c0-2.642-0.344-5.224-0.482-5.507 c-0.104-0.207-0.766-0.749-2.271-1.773c-1.522-1.042-1.487-0.887-1.766-1.566c0.25-0.078,0.492-0.224,0.639-0.241 c0.326-0.034,0.345,0.274,1.023,0.274c0.68,0,2.152-0.18,2.453-0.48c0.301-0.303,0.396-0.405,0.396-0.672 c0-0.268-0.156-0.818-0.447-1.146c-0.293-0.327-1.541-0.49-2.273-0.585c-0.729-0.095-0.834,0-1.022,0.121 c-0.304,0.189-0.32,1.919-0.32,1.919l-0.713,0.018c-0.465-1.146-1.11-3.452-2.117-5.269c-1.103-1.979-2.256-2.599-2.737-2.754 c-0.474-0.146-0.904-0.249-4.131-0.576c-3.298-0.344-5.922-0.388-8.262-0.388c-2.342,0-4.967,0.052-8.264,0.388 c-3.229,0.336-3.66,0.43-4.133,0.576s-1.633,0.775-2.736,2.754c-1.006,1.816-1.652,4.123-2.117,5.269L9.87,23.109 c0,0-0.008-1.729-0.318-1.919c-0.189-0.121-0.293-0.225-1.023-0.121c-0.732,0.104-1.98,0.258-2.273,0.585 c-0.293,0.327-0.447,0.878-0.447,1.146c0,0.267,0.094,0.379,0.396,0.672c0.301,0.301,1.773,0.48,2.453,0.48 c0.68,0,0.697-0.309,1.023-0.274c0.146,0.018,0.396,0.163,0.637,0.241c-0.283,0.68-0.24,0.524-1.764,1.566 c-1.506,1.033-2.178,1.566-2.271,1.773c-0.139,0.283-0.482,2.865-0.482,5.508s0.189,5.02,0.189,5.86c0,0.354,0,0.976,0.076,1.565 c0.053,0.354,0.129,0.697,0.268,0.966c0.232,0.473,0.447,0.516,1.334,0.473c1.137-0.051,2.779,0,4.477,0.07 c1.135,0.043,2.297,0.086,3.33,0.11c2.582,0.051,1.826-0.379,2.928-0.36c1.102,0.016,5.447,0.196,9.424,0.196 c3.976,0,8.332-0.182,9.423-0.196c1.102-0.019,0.346,0.411,2.926,0.36c1.033-0.018,2.195-0.067,3.332-0.11 c1.695-0.062,3.348-0.121,4.477-0.07c0.886,0.043,1.103,0,1.332-0.473c0.132-0.269,0.218-0.611,0.269-0.966 c0.086-0.592,0.078-1.213,0.078-1.565C49.678,37.793,49.867,35.408,49.867,32.766L49.867,32.766z M13.219,19.735 c0.412-0.964,1.652-2.9,2.256-3.244c0.145-0.087,1.426-0.491,4.637-0.706c2.953-0.198,6.217-0.276,7.73-0.276 c1.513,0,4.777,0.078,7.729,0.276c3.201,0.215,4.502,0.611,4.639,0.706c0.775,0.533,1.842,2.28,2.256,3.244 c0.412,0.965,0.965,2.858,0.861,3.116c-0.104,0.258,0.104,0.388-1.291,0.275c-1.387-0.103-10.088-0.216-14.185-0.216 c-4.088,0-12.789,0.113-14.184,0.216c-1.395,0.104-1.188-0.018-1.291-0.275C12.254,22.593,12.805,20.708,13.219,19.735 L13.219,19.735z M16.385,30.511c-0.619,0.155-0.988,0.491-1.764,0.482c-0.775,0-2.867-0.353-3.314-0.371 c-0.447-0.017-0.842,0.302-1.076,0.362c-0.23,0.06-0.688-0.104-1.377-0.318c-0.688-0.216-1.092-0.155-1.316-1.094 c-0.232-0.93,0-2.264,0-2.264c1.488-0.068,2.928,0.069,5.621,0.826c2.693,0.758,4.191,2.213,4.191,2.213 S17.004,30.357,16.385,30.511L16.385,30.511z M36.629,37.293c-1.23,0.164-6.386,0.207-8.794,0.207c-2.412,0-7.566-0.051-8.799-0.207 c-1.256-0.164-2.891-1.67-1.764-2.865c1.523-1.627,1.24-1.576,4.701-2.023C24.967,32.018,27.239,32,27.834,32 c0.584,0,2.865,0.025,5.859,0.404c3.461,0.447,3.178,0.396,4.699,2.022C39.521,35.623,37.887,37.129,36.629,37.293L36.629,37.293z  M48.129,29.582c-0.232,0.93-0.629,0.878-1.318,1.093c-0.688,0.216-1.145,0.371-1.377,0.319c-0.231-0.053-0.627-0.371-1.074-0.361 c-0.448,0.018-2.539,0.37-3.313,0.37c-0.772,0-1.146-0.328-1.764-0.481c-0.621-0.154-0.966-0.154-0.966-0.154 s1.49-1.464,4.191-2.213c2.693-0.758,4.131-0.895,5.621-0.826C48.129,27.309,48.361,28.643,48.129,29.582L48.129,29.582z','rocket': 'path://M-244.396,44.399c0,0,0.47-2.931-2.427-6.512c2.819-8.221,3.21-15.709,3.21-15.709s5.795,1.383,5.795,7.325C-237.818,39.679-244.396,44.399-244.396,44.399z M-260.371,40.827c0,0-3.881-12.946-3.881-18.319c0-2.416,0.262-4.566,0.669-6.517h17.684c0.411,1.952,0.675,4.104,0.675,6.519c0,5.291-3.87,18.317-3.87,18.317H-260.371z M-254.745,18.951c-1.99,0-3.603,1.676-3.603,3.744c0,2.068,1.612,3.744,3.603,3.744c1.988,0,3.602-1.676,3.602-3.744S-252.757,18.951-254.745,18.951z M-255.521,2.228v-5.098h1.402v4.969c1.603,1.213,5.941,5.069,7.901,12.5h-17.05C-261.373,7.373-257.245,3.558-255.521,2.228zM-265.07,44.399c0,0-6.577-4.721-6.577-14.896c0-5.942,5.794-7.325,5.794-7.325s0.393,7.488,3.211,15.708C-265.539,41.469-265.07,44.399-265.07,44.399z M-252.36,45.15l-1.176-1.22L-254.789,48l-1.487-4.069l-1.019,2.116l-1.488-3.826h8.067L-252.36,45.15z','ship': 'path://M16.678,17.086h9.854l-2.703,5.912c5.596,2.428,11.155,5.575,16.711,8.607c3.387,1.847,6.967,3.75,10.541,5.375 v-6.16l-4.197-2.763v-5.318L33.064,12.197h-11.48L20.43,15.24h-4.533l-1.266,3.286l0.781,0.345L16.678,17.086z M49.6,31.84 l0.047,1.273L27.438,20.998l0.799-1.734L49.6,31.84z M33.031,15.1l12.889,8.82l0.027,0.769L32.551,16.1L33.031,15.1z M22.377,14.045 h9.846l-1.539,3.365l-2.287-1.498h1.371l0.721-1.352h-2.023l-0.553,1.037l-0.541-0.357h-0.34l0.359-0.684h-2.025l-0.361,0.684 h-3.473L22.377,14.045z M23.695,20.678l-0.004,0.004h0.004V20.678z M24.828,18.199h-2.031l-0.719,1.358h2.029L24.828,18.199z  M40.385,34.227c-12.85-7.009-25.729-14.667-38.971-12.527c1.26,8.809,9.08,16.201,8.213,24.328 c-0.553,4.062-3.111,0.828-3.303,7.137c15.799,0,32.379,0,48.166,0l0.066-4.195l1.477-7.23 C50.842,39.812,45.393,36.961,40.385,34.227z M13.99,35.954c-1.213,0-2.195-1.353-2.195-3.035c0-1.665,0.98-3.017,2.195-3.017 c1.219,0,2.195,1.352,2.195,3.017C16.186,34.604,15.213,35.954,13.99,35.954z M23.691,20.682h-2.02l-0.588,1.351h2.023 L23.691,20.682z M19.697,18.199l-0.721,1.358h2.025l0.727-1.358H19.697z','run': 'path://M13.676,32.955c0.919-0.031,1.843-0.008,2.767-0.008v0.007c0.827,0,1.659,0.041,2.486-0.019 c0.417-0.028,1.118,0.325,1.14-0.545c0.014-0.637-0.156-1.279-0.873-1.367c-1.919-0.241-3.858-0.233-5.774,0.019 c-0.465,0.062-0.998,0.442-0.832,1.069C12.715,32.602,13.045,32.977,13.676,32.955z M14.108,29.013 c1.47-0.007,2.96-0.122,4.414,0.035c1.792,0.192,3.1-0.412,4.273-2.105c-3.044,0-5.882,0.014-8.719-0.01 c-0.768-0.005-1.495,0.118-1.461,1C12.642,28.731,13.329,29.014,14.108,29.013z M23.678,36.593c-0.666-0.69-1.258-1.497-2.483-1.448 c-2.341,0.095-4.689,0.051-7.035,0.012c-0.834-0.014-1.599,0.177-1.569,1.066c0.031,0.854,0.812,1.062,1.636,1.043 c1.425-0.033,2.852-0.01,4.278-0.01v-0.01c1.562,0,3.126,0.008,4.691-0.005C23.614,37.239,24.233,37.174,23.678,36.593z  M32.234,42.292h-0.002c-1.075,0.793-2.589,0.345-3.821,1.048c-0.359,0.193-0.663,0.465-0.899,0.799 c-1.068,1.623-2.052,3.301-3.117,4.928c-0.625,0.961-0.386,1.805,0.409,2.395c0.844,0.628,1.874,0.617,2.548-0.299 c1.912-2.573,3.761-5.197,5.621-7.814C33.484,42.619,33.032,42.387,32.234,42.292z M43.527,28.401 c-0.688-1.575-2.012-0.831-3.121-0.895c-1.047-0.058-2.119,1.128-3.002,0.345c-0.768-0.677-1.213-1.804-1.562-2.813 c-0.45-1.305-1.495-2.225-2.329-3.583c2.953,1.139,4.729,0.077,5.592-1.322c0.99-1.61,0.718-3.725-0.627-4.967 c-1.362-1.255-3.414-1.445-4.927-0.452c-1.933,1.268-2.206,2.893-0.899,6.11c-2.098-0.659-3.835-1.654-5.682-2.383 c-0.735-0.291-1.437-1.017-2.293-0.666c-2.263,0.927-4.522,1.885-6.723,2.95c-1.357,0.658-1.649,1.593-1.076,2.638 c0.462,0.851,1.643,1.126,2.806,0.617c0.993-0.433,1.994-0.857,2.951-1.374c1.599-0.86,3.044-0.873,4.604,0.214 c1.017,0.707,0.873,1.137,0.123,1.849c-1.701,1.615-3.516,3.12-4.933,5.006c-1.042,1.388-0.993,2.817,0.255,4.011 c1.538,1.471,3.148,2.869,4.708,4.315c0.485,0.444,0.907,0.896-0.227,1.104c-1.523,0.285-3.021,0.694-4.538,1.006 c-1.109,0.225-2.02,1.259-1.83,2.16c0.223,1.07,1.548,1.756,2.687,1.487c3.003-0.712,6.008-1.413,9.032-2.044 c1.549-0.324,2.273-1.869,1.344-3.115c-0.868-1.156-1.801-2.267-2.639-3.445c-1.964-2.762-1.95-2.771,0.528-5.189 c1.394-1.357,1.379-1.351,2.437,0.417c0.461,0.769,0.854,1.703,1.99,1.613c2.238-0.181,4.407-0.755,6.564-1.331 C43.557,30.447,43.88,29.206,43.527,28.401z','walk': 'path://M29.902,23.275c1.86,0,3.368-1.506,3.368-3.365c0-1.859-1.508-3.365-3.368-3.365 c-1.857,0-3.365,1.506-3.365,3.365C26.537,21.769,28.045,23.275,29.902,23.275z M36.867,30.74c-1.666-0.467-3.799-1.6-4.732-4.199 c-0.932-2.6-3.131-2.998-4.797-2.998s-7.098,3.894-7.098,3.894c-1.133,1.001-2.1,6.502-0.967,6.769 c1.133,0.269,1.266-1.533,1.934-3.599c0.666-2.065,3.797-3.466,3.797-3.466s0.201,2.467-0.398,3.866 c-0.599,1.399-1.133,2.866-1.467,6.198s-1.6,3.665-3.799,6.266c-2.199,2.598-0.6,3.797,0.398,3.664 c1.002-0.133,5.865-5.598,6.398-6.998c0.533-1.397,0.668-3.732,0.668-3.732s0,0,2.199,1.867c2.199,1.865,2.332,4.6,2.998,7.73 s2.332,0.934,2.332-0.467c0-1.401,0.269-5.465-1-7.064c-1.265-1.6-3.73-3.465-3.73-5.265s1.199-3.732,1.199-3.732 c0.332,1.667,3.335,3.065,5.599,3.399C38.668,33.206,38.533,31.207,36.867,30.74z'}
#转为列表
symbol_list = list(symbol_dict.values())

最后一步使用geo功能进行绘图

def geo_lines_background() -> Geo:c = (Geo().add_schema(maptype="world").add("Origin",data1,type_=ChartType.SCATTER,color='#FF6F91').add("By Air",data2,type_=ChartType.LINES,effect_opts=opts.EffectOpts(symbol=symbol_list[0], symbol_size=15, color='#845EC2', period=6, trail_length=0, is_show=True ),linestyle_opts=opts.LineStyleOpts(curve=0.2, color='#845EC2', width=1, opacity=0.5),).add("By Sea",data3,type_=ChartType.LINES,effect_opts=opts.EffectOpts(symbol=symbol_list[4], symbol_size=15, color='#00C9A7', period=12, trail_length=0, is_show=True ),linestyle_opts=opts.LineStyleOpts(curve=0.5, color='#00C9A7', width=1, opacity=0.8),).add("By train",data4,type_=ChartType.LINES,effect_opts=opts.EffectOpts(symbol=symbol_list[3], symbol_size=15, color='#FF8066', period=15, trail_length=0, is_show=True),linestyle_opts=opts.LineStyleOpts(curve=0.5, color='#FF8066', width=1, opacity=0.8),).set_series_opts(label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title="Inbound map")))return c
map1=geo_lines_background()
map1.render_notebook()

输出漂亮的地图

PYECHARTS 实战国内/国际地图航线图制作（一）相关推荐

百度地图自定义背景图瓦片图制作流程
百度地图瓦片图制作流程 1.下载BaiduMapTileCutter.exe 链接: https://pan.baidu.com/s/1uxgiz8j9keQd19qz2byT5Q 提取码: cwva ...
【MapBox实战】生成地图+绘制区域+纠偏
[MapBox实战]生成地图+绘制区域+纠偏 mapbox介绍生成地图过程基础配置坐标在地图上绘制一块区域在地图上画上点瓦片地图原理理解原理瓦片地图背景理解编码方式谷歌xyz 百度 ...
「干货」12.5米数字高程DEM专题图制作教程
[干货]12.5米数字高程DEM专题图制作教程概述数字高程模型(Digital Elevation Model),简称DEM,是表达地面高程起伏形态的实体地面模型. 可用于绘制等高线.坡度图.坡向 ...
将AE开发的专题图制作功能发布为WPS
AE开发可以定制化实现ArcGIS的地理处理功能,并实际运用于其他方面的工作,有时候我们还希望将AE开发的功能发布为网络地理信息处理服务(WPS),从而能在Web端更自由便利地调用所需要的地学处理算法 ...
【ArcGIS教程】专题图制作之人口地图——湖北省人口密度分析
成图展示: 人口密度分布状况统计--以湖北省为例 :这里所使用的为湖北省的省.市.县三个级别的行政区划矢量数据,以及居民点数据(OSM获取), 进而进行密度分析. 注:以下为比较简单的基础操作过程,如 ...
ArcGIS中地形渲染图制作技巧
1. 概述 DEM数据作为GIS数据中常见的一种数据,经常都会使用到,除了用来生成等高线.高程点和做各种分析之外,生成地形渲染图也是常见的用途之一,这里给大家介绍一下ArcGIS中地形渲染图制作技巧, ...
国内主要地图瓦片坐标系定义及计算原理
国内主要地图瓦片坐标系定义及计算原理作者 CntChen 关注 2016.05.10 20:05* 字数 3144 阅读 1571评论 0喜欢 9 本文将介绍瓦片坐标相关知识,并提供高德地图.百度地 ...
仿去哪网酒店的地图：POI、定位、国际地图、导航、marker及其自定义infowindow
Android 博客之路第二弹:关于最近研究地图的总结. 前言:最近App开发酒店信息需要用到地图模块,所以就目前需要的功能研究了一下.虽然以前也有用到,但以前仅限于marker及infowindow ...
玫瑰图制作|多种可视化工具集锦
制作玫瑰图很简单,不仅可以使用在线网站制作,还可以直接写代码生成,"满满地炫酷感",这里给大家推荐四种轻松制作玫瑰图的方法:在线图表法.Excel插件法.PowerBl视觉对象法. ...
基于照片扫描技术的游戏网格贴图制作的相关（上篇）
参考来源: Agisoft PhototScna User Manual http://www.agisoft.com/pdf/photoscan-pro_1_4_en.pdf Unite 2018| ...

PYECHARTS 实战国内/国际地图航线图制作（一）

国际航线：

PYECHARTS 实战国内/国际地图航线图制作（一）相关推荐

最新文章

热门文章

PYECHARTS 实战 国内/国际地图航线图制作 （一）

国际航线：

PYECHARTS 实战 国内/国际地图航线图制作 （一）相关推荐

最新文章

热门文章

PYECHARTS 实战国内/国际地图航线图制作（一）

PYECHARTS 实战国内/国际地图航线图制作（一）相关推荐