It is good to display data from a different perspective for better understanding. The 3D plot camera perspective can be changed to see the graph from different views, sides, and angles. That becomes possible if you use the scatter() function keeping the axes(projection = '3d').Īx.set_title('3D plotting of scatter chart') #Mentioning all the three different axes.Īx.set_title('3D plotting of line chart')Īlso, you can create the same figure using points. To create 3D lines, you must use the plot3D() function, wherein you need to place the three parameters of the three axes. Syntax: from mpl_toolkits import mplot3d Generate a Blank 3D PlotĪn empty 3D plot can be created by passing the keyword projection='3D' to the axis creation function:Įxample: import matplotlib.pyplot as pyplot Three-dimensional plots can be used by importing the mplot3d toolkit It comes pre-installed with Matplotlib installation: Matplotlib creators decided to extend its capabilities to deliver 3D plotting modules also. Initially, Matplotlib was used to create 2D plotting charts like line charts, bar charts, histograms, scatter plots, pie plots, etc. Among these, Matplotlib got the most popular choice for rendering data visualizations to get a better insight. Change Camera Angle of 3D Plot Matplotlib 3D Plotting in Data Visualizationĭata visualization is a specialized vertical of data science where many libraries were developed using Python.Matplotlib 3D Plotting in Data Visualization.
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