def dashboardPanels(df, table, variable):
p = []
time_sub = ''
if 'depth' in df.columns:
times = df['time'].sort_values().unique()
time_sub = 'time: ' + str(times[0]) + ' -- ' + str(times[-1])
depth_sub = ''
if 'depth' in df.columns:
depth_sub = ', depth: %2.2f -- %2.2f' % (np.min(
df.depth), np.max(df.depth)) + ' [m]'
unit = ' [' + db.getVar(table, variable).iloc[0]['Unit'] + ']'
subject = time_sub + depth_sub
unit = ' [' + db.getVar(table, variable).iloc[0]['Unit'] + ']'
plotHeat.heatMap(df, table, variable, unit)
panel = timePanel(df, table, variable, unit, subject)
if panel != None: p.append(panel)
panel = latPanel(df, table, variable, unit, subject)
if panel != None: p.append(panel)
panel = lonPanel(df, table, variable, unit, subject)
if panel != None: p.append(panel)
panel = depthPanel(df, table, variable, unit, subject)
if panel != None: p.append(panel)
if len(p) > 0:
if not jup.inline(): ## if jupyter is not the caller
fname = 'dashboard'
dirPath = 'embed/'
if not os.path.exists(dirPath):
os.makedirs(dirPath)
output_file(dirPath + fname + ".html", title=variable + unit)
show(column(p))
return p
tables = sys.argv[8].split(
',') # argument8: comma-separated list of varaible table names
variables = sys.argv[9].split(
',') # argument9: comma-separated list of variable names
spatialTolerance = float(
sys.argv[10]
) # argument10: colocalizer spatial tolerance (+/- degrees)
depth1 = 0
depth2 = 5
exportDataFlag = bool(
int(sys.argv[11])
) # argument11: < 1 > export the cruise trajectory and colocalized data on disk; < 0 > ignore
loadedTrack = plotAlongTrack(tables,
variables,
cruise,
resampTau,
df,
spatialTolerance,
depth1,
depth2,
fname,
exportDataFlag,
marker='-',
msize=30,
clr='darkturquoise')
mutualTrends(loadedTrack, tables, variables, cruise)
inline = jup.inline() # check if jupyter is calling this script
if __name__ == "__main__":
main()
