Data Science, Artificial Intelligence, Open Data, Open Source, Data Vizualisation.
first column if pltindex % plotCols == 1: plt.ylabel('Frequency') plt.xticks(ind[0::5], np.round(tempComb.index[0::5], 2)) # if desired, overlay vertical lines if vlines: for vline in vlines: plt.axvline(x = vline * ind[-1], lw = 0.5, color = 'red') if legend: leg1 = []; leg2 = [] for key in