plt.yscale and mplhep.histplot / histogram log scale on y?

[ryuwd]

Hi All,
Very glad to see there are people dedicated to making matplotlib a suitable plotting solution for HEP data.

I have a problem with setting a log scale on the y-axis when plotting a pre-binned histogram (uproot reads variable from root tree --> np.histogram)

Am I missing something or doing something wrong here?

    plt.figure(figsize=(6,6))
    hep.histplot(histnom[0], histnom[1], label='Nominal')
    hep.histplot(histmisal[0], histmisal[1], label='Misaligned')
    plt.legend(fontsize='x-small')
    plt.gca().xaxis.set_minor_locator(AutoMinorLocator())
    plt.gca().yaxis.set_minor_locator(AutoMinorLocator())
    plt.title("Momentum resolution (deent)", fontsize=16)
    plt.xlabel("$p - p_{MC}$ [MeV]", fontsize=14)
    plt.ylabel("Tracks / %.1f MeV" % (bin_sz), fontsize=14)
    plt.yticks(fontsize=14)
    plt.xticks(fontsize=14)
    plt.yscale('log')

Here is the produced plot:

Works without plt.yscale

[andrzejnovak]

Hmm, I should fix that, but you can get around it by setting ylim to a small non-zero number. The problem is histplot automatically sets lower ylim to 0, because it makes sense for a histogram, but I am not sure if there's an automated solution to this since the function won't know when it's called that it will be a log plot in your example

[ryuwd]

Ah, this sounds like a good idea - I will try this soon and let you know how it looks.

Thanks!

[andrzejnovak]

@ryuwd Fixed in #150

[ryuwd]

Apologies I didn't follow up - but I did manage to get it working after your suggestion. Thanks for fixing it!