def diveg(f="data/weather.csv", loud=False):
the = about.defaults()
t = Tab(file=f)
if len(t.rows) > 2000: the.tiny = 0.66
all = sorted(clusters.div(t, the, cols=t.cols.x, loud=True))
print([col.txt for col in t.cols.y])
print(rs(t.y(), 3), "<== baseline")
for x in all:
print(rs(x.y(), 3))
for span in sorted(all[0].bins(all[-1], the)):
print(span)
print(round(random.random(), 3), the)
