by Nicolas P. Rougier, Bordeaux, November 2021.

PDF address: posed of a myriad of tools, ranging from the most versatile and Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for Some are made specifically for the web, others are for the desktop only, some deal with 3D and large data, while others target flawless 2D rendering.

Translation. :

The Python scientific visualization space is huge (see below). It consists of a myriad of tools, ranging from the most general and widespread to the more specialized and classified. Some of these tools are community-based, while others are developed by companies. Some are made specifically for the Web, some are desktop-only, some are for working with 3D and big data, and some are for perfect 2D rendering.

Originally:

Figure : The most important element of a figure is the figure itself. It is created when you call the figure method and we've already seen you call the figure method. and we've already seen you can specify its size but you can also specify a background color (facecolor) as well as a title (suptitle). It is important to know that the background color won't be used when you save the figure because the savefig function has also a facecolor argument (that is white by default) that will override your figure background color. If you don't want any background you can specify transparent=True when you save the figure.

Axes : This is the second most important element that corresponds to the actual area where your data will be rendered. It is also called a subplot. You can have have one to many axes per figure and each is usually surrounded by four edges (left, top, right and bottom) that are called spines. You can have have one to many axes per figure and each is usually surrounded by four edges (left, top, right and bottom) that are called spines. Each of these spines can be decorated with major and minor ticks (that can point inward or outward), tick labels and a label. By default, matplotlib decorates only the left and bottom spines.

Axis : The decorated spines are called axis. The horizontal one is the xaxis and the vertical one is the yaxis. The horizontal one is the xaxis and the vertical one is the yaxis. Each of them are made of a spine, major and minor ticks, major and minor ticks labels and an axis label.

Spines : Spines are the lines connecting the axis ticks. Spines : Spines are the lines connecting the axis tick marks and noting the boundaries of the data area. They can be placed at arbitrary positions and may be visible or invisible.

Artist : Everything on the figure, including Figure, Axes, and Axis objects, is an artist. This includes Text objects, Line2D objects This includes Text objects, Line2D objects, collection objects, Patch objects. When the figure is rendered, all of the artists are drawn to the canvas. A given artist can only be in one Axes. strong> Translation:

Figure: The most important element of a figure is the Figure itself. It is created when you call the figure method, and as we've seen you can specify its size, but you can also specify the background color (facecolor) and the title (suptitle). It is important to note that the background color will not be used when saving the figure because the savefig function also has a facecolor parameter (white by default) which will override the figure background color. If you don't want any background, you can specify transparent=True when saving the graph.

Axes : This is the second most important element and corresponds to the actual area where the data will be presented. It is also known as a subgraph. Each graph can have from one to many Axes, and each axis is usually surrounded by four edges called spines (left, top, right and bottom). Each of these spines can be decorated with primary and secondary scales (which can point inward or outward), scale labels, and labels. By default, matplotlib only decorates the left and bottom spines.

Axis: The scales on the axes are called Axis. the horizontal axis is the x-axis and the vertical axis is the y-axis. Each of them consists of Spines, primary and secondary scales, scale labels, and axis labels.

Spines (ridges): Spines are lines that connect the axis scales to the boundaries of the data area of interest. They can be placed anywhere and can be visible or invisible.

Artist: Everything on the graph, including the graph, axes, and axis objects, is an Artist. This includes Text objects, Line2D objects, Collection objects, and Patch objects. When the graph is rendered, all Artists are drawn to the canvas. A given Artist can only be in one Axes.

Originally:

Given the definition above, problems arise when how a visual is perceived differs significantly from the intent of the conveyor. Consequently, it is important to identify, as early as possible in the design process, the audience and the message the visual is to convey. The graphical design of the visual should be informed by this intent.

Only after identifying the message will it be worth the time to develop your figure, just as you would take the time to develop the message. figure, just as you would take the time to craft your words and sentences when writing an article only after deciding on the main points of the text.

A figure can be displayed on a wide variety of platforms. figure can be displayed on a variety of media, such as a poster, a computer monitor, a projection screen (as in an oral presentation), or a simple sheet of paper (as in a printed article). Each of these media represents different physical sizes. Each of these media represents different physical sizes for the figure, but more importantly, each of them also implies different ways of viewing and interacting with the figure.

Whether describing an experimental setup, introducing a new model, or presenting new results, you cannot explain everything within the figure itself-a figure should be a figure. The caption explains how to read the figure and provides The caption explains how to read the figure and provides additional precision for what cannot be graphically represented.

All plots require at least some manual tuning of the different settings to

All plots require at least some manual tuning of the different settings to better express the message, be it for making a precise plot more salient to a broad audience, or to choose the best colormap for the nature of the data.

Color is an important dimension in human vision and is consequently equally important in the design of a scientific figure.

What distinguishes a scientific figure from other graphical artwork?

What distinguishes a scientific figure from other graphical artwork is the presence of data that needs to be shown as objectively as possible.

Chartjunk refers to all Chartjunk refers to all the unnecessary or confusing visual elements found in a figure that do not improve the message (in the best case) or add confusion (in the worst case).

Remember, in science, message and readability of the figure is the most important aspect while beauty is only an option.

There exist many

There exist many tools that can make your life easier when creating figures, and knowing a few of them can save you a lot of time.

Translation:

As mentioned above. Problems arise when there is a clear deviation between what the visual shows and the intent of the person expressing it. Therefore, it is important to identify the audience and the message conveyed by the visual as early as possible in the design process. The graphic design of a visual should be based on this intent.

It is only worth taking the time to develop your graphics once the message has been determined, just as when you are writing an essay, you only take the time to craft your words and sentences once you have determined the gist of the text.

Graphics can be displayed on a variety of media, such as posters, computer monitors, projection screens (as in a presentation), or simply paper (as in print). Each medium represents a different physical size of the graphic, but more importantly, each also suggests a different way of viewing and interacting with the graphic.

Whether it explains how to set up an experiment, introduce a new model, or show new results, a graphic can't explain everything on its own-the graphic should be accompanied by notes. Notes explain how to read the graph and provide a more precise description of what cannot be represented graphically.

All graphs need at least some manual adjustments to the different defaults to better represent the information, not only to make the graph more salient and precise to a wider audience, but also to choose the best color map for the nature of the data.

Color is an important dimension of human vision, so it is equally important in the design of science figures.

What distinguishes scientific graphics from other graphic artwork is that the data needs to be presented as objectively as possible.

"Useless graphics" are all the unnecessary or confusing visual elements present in a figure that do not improve the message (at best) or add confusion (at worst).

Remember that in science, the information and readability of a graph is the most important aspect, and embellishment is only an option.

There are many tools that can make creating graphs easier, and knowing some of them can save you a lot of time.