Abstract: Python and one of plotting module matplotlib was explained briefly. Existing softwares may be enough to solve and display the results of scientific problems. But matplotlib also stepping ...

Matplotlib is a feature-rich module for producing a wide array of graphs, plots, charts, images, and animations. Since Matplotlib is not part of the Python core libraries (like the math and csv ...

Data visualization is an effective tool for converting complex datasets into clear and understandable visual formats. Data visualization is crucial in data analysis so that analysts, researchers, and ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

I often work with plots have have a large number of lines, for example showing the trajectories of a large number of particles in a physics simulation. For publication it is good for the axis to be in ...

The latest Anaconda State of Data Science Survey 2018 showcases that Matplotlib is the most-preferred data visualisation tool. It continues to enjoy its first-mover advantage in visualisation with 75 ...

matplotlib/lines.py in set_markeredgecolor(self, ec) raises an exception if mec is specified by a numpy array. In [9]: plt.plot(x, x, mec=np.array([0.1, 0.1, 0.1 ...

Abstract: We present a unified occlusion model for object instance detection under arbitrary viewpoint. Whereas previous approaches primarily modeled local coherency of occlusions or attempted to ...