def plot_trend_map(vals, title, cblabel, filename="tmp.png", **kwargs):
'''Takes dates and values (e.g. bc or oc values) in a dict, performs
trend analysis on each unique k/v pair (matching it with a lon/lat
from the database) and plots the results on a pretty little
map.'''
data = {k: relative_trend(v) for k,v in vals.iteritems()}
data = {k: (val, _markersize(err)) for k,(val, err) in data.iteritems()}
h.imprv_plot(data, title, cblabel, filename, **kwargs)
def plot(data, title, filename, **kwargs):
h.imprv_plot(data, title, "ug/m^3",filename=filename,
vmin=0, **kwargs)
