A few thoughts:
1) don't use arange() for flaoting point numbers, use linspace().
2) histogram1d is a floating point function, and you shouldn't expect exact
results for floating point -- in particular, values exactly at the bin
boundaries are likely to be "uncertain" -- not quite the right word,
Hello,
I'm trying to calculate a 1-d histogram of a distribution that contains mostly
zeros,
and I'm having problems with examples where the values to be histogrammed fall
exactly on the bin boundaries:
For example, this gives me the expected results (entering the exact bin values):
>>> data
ar