Re: [Matplotlib-users] A request for a Matplotlib extension to hist

[Christian A. <ia...@gm...>]

I had the same problem some time ago and what I did is to use bar() to
plot the histogram, which can be done in one line:

hist, bin_edges = np.histogram(data)
plt.bar(bin_edges[:-1], hist)

Perhaps this trick can be added in the documentation?

I am willing to code Virgil's request if many will find this useful.


On Fri, Apr 24, 2015 at 11:33 AM, Virgil Stokes <vs...@it...> wrote:
> 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.
>
> I would like to use Matplotlib to plot histograms from the 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.
>
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