Verwenden Sie die Grundkarte, um eine Weltkarte zu zeichnen

Kurz gesagt, verwenden Sie die Grundkarte, um eine Weltkarte zu zeichnen, und verwenden Sie Matplot, um bestimmte Koordinatenpunkte zu markieren.

from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt

import xlrd

def read_excel():
    file = xlrd.open_workbook(r"坐标数据.xlsx")
    table = file.sheet_by_name('Sheet1')    ##用工作表的名称来调取需要读取的数据，这里需要Sheet1里的数据
    #print(table.name, table.nrows, table.ncols)   ##用于打印工作表名称、行数、列数
    excel_data = []
    for i in range (0, table.nrows):
        row_data = table.row_values(i)
        excel_data.append(row_data)
    excel_data = np.array(excel_data)
    return excel_data 
 
localtion = read_excel()



m = Basemap(resolution='l')     # 实例化一个map
m.drawcoastlines()  # 画海岸线
m.drawmapboundary(fill_color='aqua') 
m.drawcountries()
#m.drawrivers()
m.fillcontinents(color='lightgray',lake_color='blue') # 画大洲，颜色填充为褐色

parallels = np.arange(-90., 90., 15.)  # 这两行画纬度，范围为[-90,90]间隔为10
m.drawparallels(parallels,labels=[False, True, True, False])
meridians = np.arange(-180., 180., 30.)  # 这两行画经度，范围为[-180,180]间隔为10
m.drawmeridians(meridians,labels=[True, False, False, True])

for idx in range(localtion.shape[0]):
    m.plot(localtion[idx,0],localtion[idx,1],marker='D',color='yellow')

#NA
m.plot(-77.03,38.85,marker='D',color='red')
#m.plot(-74.15,40.64,marker='D',color='red')
m.plot(-71.27,46.05,marker='D',color='red')
m.plot(-92.48,44.59,marker='D',color='red')
m.plot(-102.28,39.24,marker='D',color='red')
m.plot(-91.74,35.21,marker='D',color='red')
m.plot(-118.15,33.81,marker='D',color='red')
m.plot(-113.06,41.05,marker='D',color='red')
m.plot(-96.07,33.07,marker='D',color='red')

#EUR
m.plot(2.33,48.84,marker='D',color='red')
m.plot(0.552,51.5,marker='D',color='red')
m.plot(20.65,52.45,marker='D',color='red')
m.plot(12.33,51.43,marker='D',color='red')
m.plot(16.45,48.29,marker='D',color='red')
m.plot(-3.77,40.57,marker='D',color='red')
m.plot(12.51,43.1,marker='D',color='red')
m.plot(25.5,50.7,marker='D',color='red')

#ASIA
m.plot(118.8,32,marker='D',color='red')
m.plot(125.22,43.9,marker='D',color='red')
m.plot(116.28,39.93,marker='D',color='red')
m.plot(108.77,28.83,marker='D',color='red')
m.plot(110.35,20.03,marker='D',color='red')
m.plot(113.65,34.72,marker='D',color='red')
m.plot(75.98,39.47,marker='D',color='red')
m.plot(135.75,35.0084,marker='D',color='red')

plt.show()

Der Zeicheneffekt ist wie folgt