plthelpers

plthelpers.discrete_cmap(N, base_cmap=None)

Create an N-bin discrete colormap from the specified input map

plthelpers.fit_chi2(func, datax, datay, datayerror, p_init=None)

plthelpers.fit_line(datax, datay, datayerror=None, p_init=None)

plthelpers.fit_pol2(datax, datay, datayerror=None, p_init=None)

plthelpers.fit_gaus(datax, datay, datayerror, p_init=None)

plthelpers.plot_fit_stats(ax, popt, cov, chi2ndf, posx=0.95, posy=0.95, ha='right', significant_figure=False, color='k', funcstring='', parnames=None)

plthelpers.plot_fit_stats2(ax, popt, cov, chi2ndf, posx=0.95, posy=0.95)

plthelpers.plot_hist_stats(ax, data, weights=None, posx=0.05, posy=0.95, overflow=None, underflow=None, rel=False, additional_text='', additional_text_pre='', fontsize=22, color='k', va='top', ha='left', median=True, quantiles=True, mean=True, std=True, N=True)

plthelpers.get_graph(x_data, y_data, filename=None, show=False, xerr=None, yerr=None, funcs=None, xlabel='', ylabel='', title='', fmt='bo', fit_stats=None, xmin=None, xmax=None, ymin=None, ymax=None, hlines=None, **kwargs)

plthelpers.save_graph(filename=None, **kwargs)

plthelpers.get_histograms(histograms, bins=None, xlabels=None, ylabels=None, stats=True, fig=None, axes=None, histtype=u'bar', titles=None, weights=None, figsize=4, stat_kwargs=None, kwargs={'alpha': 1, 'facecolor': '0.7', 'edgecolor': 'k'})

plthelpers.get_histogram(data, bins=10, xlabel='', ylabel='entries', weights=None, title='', stats=True, show=False, stat_kwargs=None, funcs=None, overflow=True, ax=None, kwargs={'alpha': 1, 'facecolor': '0.7', 'edgecolor': 'k'}, figsize=None)

creates a histogram using matplotlib from array

plthelpers.save_histogram(filename, *args, **kwargs)

plthelpers.varname(p)

plthelpers.make_dir(path)

plthelpers.get_marker(i)

plthelpers.get_marker2(i)

plthelpers.get_color(i)