uploading solution of q3

q3/q3.py

+import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits import mplot3d
+import pandas as pd
+from pylab import *
+fig=plt.figure(figsize=(12,12))
+ax=plt.axes(projection='3d')
+x_axis=pd.read_csv("csv_file",names=['x','y','z'],usecols=['x'])
+x_points=x_axis.to_numpy()
+y_axis=pd.read_csv("csv_file",names=['x','y','z'],usecols=['y'])
+y_points=y_axis.to_numpy()
+z_axis=pd.read_csv("csv_file",names=['x','y','z'],usecols=['z'])
+z_points=z_axis.to_numpy()
+graph=ax.scatter3D(x_points, y_points, z_points, c=z_points, cmap='coolwarm')
+colorbar(graph,shrink=0.5)
+ax.set_xlabel('X axis', fontweight='bold')
+ax.set_ylabel('Y axis', fontweight='bold')
+ax.set_zlabel('Z axis', fontweight='bold')
+ax.grid(False)
+ax.w_xaxis.set_pane_color((0.0, 0.0, 0.0, 0.0))
+ax.w_yaxis.set_pane_color((0.0, 0.0, 0.0, 0.0))
+ax.w_zaxis.set_pane_color((0.0, 0.0, 0.0, 0.0))
+
+fig.savefig('q3plot.jpg',bbox_inches='tight')