How to plot station names (text) from csv file to map

I have a plotted map with station locations (from a CSV) but I am finding it difficult to add text to the points using their station name referred to as "STATIONS" in the first column of the CSV file attached. Below is the code compiled so far. Thanks.

'''

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()

'''

Link to CSV file: https://drive.google.com/file/d/1_0b7z7WFfrs5eKY3t7-tykRoZ70Vqjkn/view?usp=sharing

Solution

You can use the function below to mark the stations on the plot.

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)