使用matplotlib：

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame([
    [16, 36, 3.34541e-07],
    [19, 40, 4.4038e-07],
    [21, 52, 1.24715e-06],
    [24, 41, 9.13244e-07],
    [25, 37, 6.33979e-07],
    [25, 45, 5.89413e-07],
    [26, 31, 7.83958e-07],
    [26, 36, 6.24651e-07],
    [26, 42, 5.44847e-07],
    [26, 47, 4.77851e-07],
    [27, 30, 8.50074e-07],
    [27, 35, 5.51727e-07],
    [27, 36, 1.2272e-06],
    [27, 38, 5.77199e-07]
])
df.columns = ['j', 'k', 'z']

fig = plt.figure()
ax = fig.add_subplot(projection='3d')
ax.bar3d(df['j'], df['k'], np.zeros_like(df['k']), dx=0.5, dy=1, dz=df['z'])
ax.set_xlabel('j')
ax.set_ylabel('k')
plt.show()