Example 26b: Contour plot from discrete feature values with labelling

Making a contour plot where the contours are determined from discrete feature values with labels to annotate the values at each feature, in this case station data with values at each station annotated

# Arrays for data
lons = []
lats = []
pressure = []
temp = []

# Read data and make the contour plot
f = open("cfplot_data/synop_data.txt")
lines = f.readlines()
for line in lines:
    mysplit = line.split()
    lons = np.append(lons, float(mysplit[1]))
    lats = np.append(lats, float(mysplit[2]))
    pressure = np.append(pressure, float(mysplit[3]))
    temp = np.append(temp, float(mysplit[4]))

cfp.gopen()
cfp.con(
    x=lons, y=lats, f=temp, ptype=1, colorbar_orientation="vertical"
)
for i in np.arange(len(lines)):
    cfp.plotvars.mymap.text(
        float(lons[i]),
        float(lats[i]),
        str(temp[i]),
        horizontalalignment="center",
        verticalalignment="center",
        transform=ccrs.PlateCarree(),
    )

cfp.gclose()