In the first line, we are importing the matplotlib library. The code is simple and plots the two datasets with different colors to distinguish between them.Īx.scatter(x2, y2, label='Dataset 2', marker='s', color='r')Īx.set_title('Multiple Datasets Scatter Plot') We are going to take two simple datasets and plot them on a scatterplot.
#3d scatter plot matplotlib how to#
We are going to see how to plot two datasets, three datasets, and even four datasets on the same scatterplot. So if you have a good visualization library in your hand, your work will be done with more ease.Ĭoming to the topic at our hand, we need to figure out how to plot multiple datasets on the same scatterplot. Visualization can also be used to convey the performance of a model like its accuracy, prediction rate, and so on.
Machine Learning also needs visualization to understand the data which later helps in feature engineering and model selection. Read this post on data visualization using Matplotlib. This is especially useful for data scientists. Visualizing the data can help us to interpret, analyze and observe the trends of data which ultimately helps in storytelling because you have a grip on your data.
Matplotlib is mainly known for its 2D plots, it also supports 3D plots for better understanding of the data. The matplotlib is the most popularly used data visualization library that supports a number of plots for visualizing arrays. To plot multiple datasets on a scatterplot sounds like a hard and nerve-wracking task but trust me if you have even a little bit of knowledge about plotting with matplotlib, it’s like your usual plotting.
0 kommentar(er)
