如何将站名（文本）从 csv 文件绘制到地图

Question

我有一个带有站点位置的标绘地图（来自 CSV），但我发现很难使用附加的 CSV 文件第一列中称为“站点”的站点名称向点添加文本。 下面是到目前为止编译的代码。谢谢。

'''

import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as feature
import cartopy.io.shapereader as shapereader
from cartopy.mpl.ticker import LongitudeFormatter, 
LatitudeFormatter
import pandas as pd

countries = shapereader.natural_earth(resolution='10m',
                                      category='cultural',
                                      name='admin_0_countries')

# Find the Nigeria boundary polygon.
for country in shapereader.Reader(countries).records():
    if country.attributes['SU_A3'] == 'NGA':
        nigeria = country.geometry
        break
else:
    raise ValueError('Unable to find the NGA boundary.')

plt.figure(figsize=(20, 10))
ax_map = plt.axes(projection=ccrs.PlateCarree())

ax_map.set_extent([-1, 19, -1, 17], ccrs.PlateCarree())

#ax_map.coastlines()
ax_map.add_feature(feature.COASTLINE, linewidth=.5)

ax_map.add_geometries([nigeria], ccrs.PlateCarree(), edgecolor='0.8',
                  facecolor='none')

grid_lines = ax_map.gridlines(draw_labels=True)
grid_lines.top_labels = False
grid_lines.right_labels = False

lon_formatter = LongitudeFormatter(zero_direction_label=True)
lat_formatter = LatitudeFormatter()

ax_map.xaxis.set_major_formatter(lon_formatter)
ax_map.yaxis.set_major_formatter(lat_formatter)

df = pd.read_csv("met_ngstation.csv")

plt.scatter(df['LONG'],df['LAT'],
                    color='red', marker='.', transform=ccrs.PlateCarree())

#plt.savefig('coastlines_ng.pdf')
#plt.savefig('coastlines_ng.png')

plt.show()

'''

CSV 文件链接：https://drive.google.com/file/d/1_0b7z7WFfrs5eKY3t7-tykRoZ70Vqjkn/view?usp=sharing

Answer 1

您可以使用下面的功能来标记地块上的站点。

def labelLocation(x, y, val, ax):
    dt = pd.concat({'x': x, 'y': y, 'val': val}, axis=1)
    for i, point in dt.iterrows():
        ax.text(point['x'], point['y'], str(point['val']))

labelLocation(df['LONG'], df['LAT'], df['STATIONS'], plt)