• Import necessary libraries.
• Import styles library.
• Load the data sample.
• Use bar3D() to plot 3D bar chart.

from mpl_toolkits.mplot3d import axes3d

import matplotlib.pyplot as plt

import numpy as np

from matplotlib import style

style.use(‘ggplot’)

import pandas as pd

#sample data set

data={‘salary’:[100,200,300,
400,500,400,300,200,100,50],
‘age’:[25,26,25,23,30,29,23,
23,25,25],’rating’:[4,3.24,2.5
,2.25,2,2.25,2.5,2.75,3.2,4.2],
‘bonus’:[2500,1200,900,3000,1800,
1400,850,250,750,1000]}

#create data frame

df=pd.DataFrame(data)

print(“Actual data frame:\n”,df)

#figure object initialization

fig = plt.figure()

ax1 = fig.add_subplot(111, projection=’3d’)

#arguments

x3 = (df[‘salary’])

y3 = (df[‘age’])

z3 = (df[‘rating’])

#arguments

dx = np.ones(10)

dy = np.ones(10)

dz = (df[‘bonus’])

#bar chart object and arguments

ax1.bar3d(x3, y3, z3, dx, dy, dz)

#set axis lables

ax1.set_xlabel(‘x axis’)

ax1.set_ylabel(‘y axis’)

ax1.set_zlabel(‘z axis’)

plt.show()