Thanks Not sure where I get centers & edges from
##### Plot of Histogram of Stacked Counts of Red elliptical Galaxies versus Red Shift REMrange1 = RedEllipticalMasses[RedEllipticalMasses[RedEllipticalMasses['uminusr']>1.8]['uminusr'] <2.0] print(len(REMrange1)) counts1, bins1 = np.histogram(REMrange1['Z_1'],bins=bins) REMrange2a = RedEllipticalMasses[RedEllipticalMasses['uminusr']>2.0] REMrange2 = REMrange2a[REMrange2a['uminusr'] <2.2] counts2, bins2 = np.histogram(REMrange2['Z_1'],bins=bins) REMrange3a = RedEllipticalMasses[RedEllipticalMasses['uminusr']>2.2] REMrange3 = REMrange3a[REMrange3a['uminusr'] <2.4] counts3, bins3 = np.histogram(REMrange3['Z_1'],bins=bins) REMrange4a = RedEllipticalMasses[RedEllipticalMasses['uminusr']>2.4] REMrange4 = REMrange4a[REMrange4a['uminusr'] <2.6] counts4, bins4 = np.histogram(REMrange4['Z_1'],bins=bins) REMrange5a = RedEllipticalMasses[RedEllipticalMasses['uminusr']>2.6] REMrange5 = REMrange5a[REMrange5a['uminusr'] <2.8] counts5, bins5 = np.histogram(REMrange5['Z_1'],bins=bins) counts = [counts1, counts2, counts3, counts4, counts5] centers = [centers for _ in counts] fig, ax = plt.subplots(1, 1, figsize=(12,8)) # make the figure with the size 10 x 8 inches fig.suptitle("2 - Histogram Counts of Red Galaxies versus Redshift") ax.set_xlabel('Redshift Z') ax.set_ylabel('Counts of Galaxies') plt.hist(centers, bins=bins, weights=counts, stacked=True) plt.show() Barfs on NameError Traceback (most recent call last) <ipython-input-19-4592c1912a76> in <module> 53 counts5, bins5 = np.histogram(REMrange5['Z_1'],bins=bins) 54 counts = [counts1, counts2, counts3, counts4, counts5] ---> 55 centers = [centers for _ in counts] 56 fig, ax = plt.subplots(1, 1, figsize=(12,8)) # make the figure with the size 10 x 8 inches 57 fig.suptitle("2 - Histogram Counts of Red Galaxies versus Redshift") -- Sent from: http://numpy-discussion.10968.n7.nabble.com/ _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion