Im plotting some values in a histogram and want to scale the y-axis but I only find ways to either normalize the y-axis values or to scale them logarithmically. My values are in 100ps timesteps and I want to multiply every y-axis value by 0.1 to get to a nice and easier to understand ns step size. How can I scale the y-axis values in a histogram ? n, bins, patches = plt.hist(values1, 50, facecolor='blue', alpha=0.9, label="Sample1",align='left') n, bins, patches = plt.hist(values2, 50, facecolor='red', alpha=0.9, label="Sample2",align='left') plt.xlabel('value') plt.ylabel('time [100ps]') plt.title('') plt.axis([-200, 200, 0, 180]) plt.legend() plt.show() In this graph 10 on the y axis means 1ns: Continue reading...
