def chebyshev_fit(series,
quiet_day_map,
deg=10):
"""
???
"""
grouped_by_day = series.groupby(PD.TimeGrouper(freq='D'))
x = []
y = []
for month_end in sorted(quiet_day_map):
for quiet_day in quiet_day_map[month_end]:
quiet_day_H = grouped_by_day.get_group(quiet_day)
quiet_day_H = quiet_day_H[quiet_day_H.notnull()]
x.extend([toJ2000(time_stamp.to_datetime()) for time_stamp in quiet_day_H.index])
y.extend(quiet_day_H.values)
return NP.polynomial.chebyshev.chebfit(x, y, deg, full=True)
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