def plot_profiles(fnames):
fnames = ctdtools.sort_fnames(fnames)
fig = plt.figure()
ax = fig.gca()
ax2 = ax.twiny()
for fname in fnames:
casttimestr = ctdtools.get_date(fname).strftime('UTC %Y-%m-%d %H:%M')
data = ctdtools.get_data(fname)
data = ctdtools.remove_invalid(data)
data = ctdtools.remove_cast(data,'up')
ls = ctdtools.lscycle.next()
ax.plot(data['temp'],-data['pressure'],'b',ls=ls,label=casttimestr)
ax2.plot(data['sal'],-data['pressure'],'r',ls=ls)
ax.set_xlabel('Temperature (degC)',color='b')
ax2.set_xlabel('Salinity (PSU)',color='r')
ax.set_ylabel('Pressure (dbar)')
ax2.grid(False)
ctdtools.set_n_linear_ticks(ax ,axis='x')
ctdtools.set_n_linear_ticks(ax2,axis='x')
ax.legend(loc=0)
plt.show()
return data
def plot_timeseries(fnames):
fnames = ctdtools.sort_fnames(fnames)
fig = plt.figure()
ax = fig.gca()
ax2 = ax.twinx()
for fname in fnames:
starttime = ctdtools.get_date(fname)
casttimestr = starttime.strftime('UTC %Y-%m-%d %H:%M')
data = ctdtools.get_data(fname)
data = ctdtools.remove_invalid(data)
data = ctdtools.remove_cast(data,'up')
stationary = np.abs(data['pressure']) < data['pressure'].mean()+1e-2
data = data[stationary]
dt = ctdtools.get_dt(fname)
time = starttime + (data['count']-1)*dt
ls = ctdtools.lscycle.next()
ax.plot(time,data['temp'],'b',ls=ls,label=casttimestr)
ax2.plot(time,data['sal'],'r',ls=ls)
fig.autofmt_xdate()
ax.set_ylabel('Temperature (degC)',color='b')
ax2.set_ylabel('Salinity (PSU)',color='r')
ax.set_xlabel('Count')
ax2.grid(False)
ax.legend(loc=0)
plt.show()
return fig