如何在python中绘制直方图？

Question

I am plotting a histogram with this data.

dict_values([2.5039286220812003e-18, 8.701119009863531e-17, 9.181036322384948e-17, 8.972473923736572e-17, 9.160265320730097e-17, 8.826609291023463e-17, 8.888913336226638e-17, 8.993242948900264e-17, 9.556623462346049e-17, 8.847279448923369e-17, 8.86804710730486e-17, 8.806035948033239e-17])

This is my code:

print(len(new_dictonary.values()))
plt.figure(figsize=(15, 5))
plt.hist(new_dictonary.values())
plt.show()

I expect to have 12 bar, but I got only two bars. I have to use plt.hist

How could correct my code to have the right picture?

Answer 1

Edited answer: The problem is that your values are very small in magnitude and 11 out of 12 are very close to each other and the remaining one is far away. So to have each value plotted individually as a separate bar, you need a large number of bins. Now if you limit your x-axis to show the 11 similar values out of 12, you will see that having bins=1000 (a large number) shows 11 bars.

plt.hist(new_dictonary, bins=1000, edgecolor='k')
plt.xlim(0.8e-16, 1e-16)

If you show them all, you will see how far they are. I don't know how you plan to fit a distribution to such data.

plt.hist(new_dictonary, bins=1000, edgecolor='k')