I have some Python (2.7.9) code that processes some rather large

data sets to determine the curvatures along 2D curves. One feature

of these data that I like to look at is the distribution of the

curvatures. I use NumPy to to determine histograms for each set, and

save the histogram parameters returned from `numpy.histogram`

in a file.

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I would like to use Matplotlib to plot histograms ** from the
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parameters returned in NumPy** and stored in a file — why?

Because the size of my data sets does not allow for the use of the

histogram plot function in Matplotlib (1.4.3); i.e., it needs the

data sets to calculate the histogram, before doing the plot. I would

like to have a histogram plot function in Matplotlib that could

bypass the actual calculation of the bin counts and edges from the

data, and use values of these found *a priori* . Of course, an

obvious question is – Why not write code to plot the rectangles

yourself? Yes, I could do this; but, why not extend the Matplotlib

histogram class to allow for this option? If I better understood

Matplotlib, I would try this myself. Maybe it is possible to get

this into the next planned release (1.5).

If this request is inappropriate for this list, then please accept

my apology and direct me to where I should send this request.

Best regards.