python Cartopy 船舶轨迹数据可视化

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实现功能：将轨迹数据可视化到地图上
适用范围：车辆、船舶 等含有GPS定位系统的均可
编程语言：python

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效果展示：

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数据说明：需要”经度“和”纬度“这两列的信息。【63627.csv】

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代码实现：

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rcParams

import cartopy.feature as cf
import cartopy.crs as ccrs
from cartopy.mpl.ticker import LongitudeFormatter,LatitudeFormatter

rcParams['font.family']=rcParams['font.sans-serif']='SimHei'  #font.family局部字体，font.sans-serif全局字体

df=pd.read_csv(r'C:\Users\admin\Desktop\63627.csv')

fig1=plt.figure()
lon1,lon2,lat1,lat2=119,128,23,35
#绘制底图
ax=plt.axes(projection=ccrs.PlateCarree())
ax.set_extent([lon1,lon2,lat1,lat2],crs=ccrs.PlateCarree())
ax.add_feature(cf.COASTLINE,lw=0.3)
ax.add_feature(cf.LAND)
ax.add_feature(cf.OCEAN)
ax.add_feature(cf.RIVERS)
#绘制船舶轨迹
sns.scatterplot(data=df,x='longitude',y='latitude',s=1,color='orangered')
#设置x、y轴的刻度
ax.set_xticks(np.arange(lon1,lon2,2))
ax.set_yticks(np.arange(lat1,lat2,2))
lon_formatter=LongitudeFormatter(zero_direction_label=False)
lat_formatter=LatitudeFormatter()
ax.xaxis.set_major_formatter(lon_formatter)
ax.yaxis.set_major_formatter(lat_formatter)
#设置标题和坐标轴名称
plt.title('轨迹可视化')
plt.xlabel("经度")
plt.ylabel('纬度')

plt.show()

更多的功能可以参考官网：Cartopy