Closed malmans2 closed 2 years ago
HI @malmans2 , That's great, thanks!
Hi @malmans2,
I am having some problems using the EEL dataset. Attached a plot of the section:
Are you having the same issue or I am doing something wrong?
Thanks!
Maybe it's because of the nans? I can do this:
from nsv import Standardizer
import matplotlib.pyplot as plt
ds = Standardizer().eel
ds = ds.drop("station")
ds["potential_temperature"].isel(time=0).plot.contourf(x="station")
ds["sea_floor_depth_below_geoid"].plot(c="k")
plt.gca().invert_yaxis()
ds["potential_temperature"].plot.contourf(x="station", col="time", col_wrap=4)
plt.gca().invert_yaxis()
Thanks, yes the nans plus I didn't realise that the number of missing values change with time!
@oceandie I've added yearly mean hydrography and velocities at EEL. I think there are various transports in the csv files, but I haven't looked into those data yet.