- G Code Plotting Python Tutorial
- Best Plotting Python
- 3d Plotting Python
- Python Plotting Xy
- Python Plotting Tools
- Plotting Data In Python
Matplotlib is a comprehensive library for creating static, animated,and interactive visualizations in Python.
As Real Python’s own Dan Bader has advised, taking the time to dissect code rather than resorting to the Stack Overflow “copy pasta” solution tends to be a smarter long-term solution. Sticking to the object-oriented approach can save hours of frustration when you want to take a plot from plain to a work of art. A Python 3 installation and some G-Code to plot. How you use it: Open the laserPlotter.py file with your text editor, adjust the parameters, execute it, and watch the plot appear. Jan 26, 2021 Every code from this article is published in this repository. Update 2nd Feb, 2021: I recently released Jaal, a python package for network visualization. It can be thought of as the 4th option in the list discussed below. For more details, see this separate blog.
Matplotlib makes easy things easy and hard things possible.
Create
- Develop publication quality plots with just a few lines of code
- Use interactive figures that can zoom, pan, update...
Customize
- Take full control of line styles, font properties, axes properties...
- Export and embed to a number of file formats and interactive environments
Extend
- Explore tailored functionality provided bythird party packages
- Learn more about Matplotlib through the manyexternal learning resources
Documentation¶
To get started, read the User's Guide.
Trying to learn how to do a particular kind of plot? Check out theexamples gallery or the list of plotting commands.
Join our community!¶
Matplotlib is a welcoming, inclusive project, and everyone within the communityis expected to abide by our code of conduct.
Get help
Join our community at discourse.matplotlib.orgto get help, discuss contributing & development, and share your work.
If you have questions, be sure to check the FAQ,the API docs. The full textsearch is a good way to discover the docs including the many examples.
Short questions may be posted on the gitter channel.
News
To keep up to date with what's going on in Matplotlib, see thewhat's new page or browse thesource code. Anything that couldrequire changes to your existing code is logged in theAPI changes file.
- Tweet us at @matplotlib!
- See cool plots on @matplotart Instagram!
- Check out our Blog!
Development
Matplotlib is hosted on GitHub.
- File bugs and feature requests on the issue tracker.
- Pull requests are always welcome.
It is a good idea to ping us on Discourse as well.
Mailing lists
- matplotlib-users for usage questions
- matplotlib-devel for development
- matplotlib-announce for project announcements
Toolkits¶
Matplotlib ships with several add-on toolkits,including 3D plotting with mplot3d, axes helpers in axes_grid1 and axishelpers in axisartist.
Third party packages¶
A large number of third party packagesextend and build on Matplotlib functionality, including several higher-levelplotting interfaces (seaborn, HoloViews, ggplot, ...), and a projectionand mapping toolkit (Cartopy).
Citing Matplotlib¶
Matplotlib is the brainchild of John Hunter (1968-2012), who, along with itsmany contributors, have put an immeasurable amount of time and effort intoproducing a piece of software utilized by thousands of scientists worldwide.
If Matplotlib contributes to a project that leads to a scientific publication,please acknowledge this work by citing the project. A ready-made citationentry is available.
Open source¶
Matplotlib is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofitcharity in the United States. NumFOCUS provides Matplotlib withfiscal, legal, and administrative support to help ensure the healthand sustainability of the project. Visit numfocus.org for moreinformation.
Donations to Matplotlib are managed by NumFOCUS. For donors in theUnited States, your gift is tax-deductible to the extent provided bylaw. As with any donation, you should consult with your tax adviserabout your particular tax situation.
Please consider donating to the Matplotlib project throughthe NumFOCUS organization or to the John Hunter Technology Fellowship.
The Matplotlib license is based on the Python SoftwareFoundation (PSF) license.
There is an active developer community and a long list of people who have madesignificant contributions.
Matplotlib recognizes the following formats in the table below to specify acolor.
| Format | Example |
|---|---|
| RGB or RGBA (red, green, blue, alpha)tuple of float values in a closedinterval [0, 1]. |
|
| Case-insensitive hex RGB or RGBAstring. |
|
| Case-insensitive RGB or RGBA stringequivalent hex shorthand ofduplicated characters. |
|
String representation of float valuein closed interval [0,1] forblack and white, respectively. |
|
Single character shorthand notationfor shades of colors. Note The colors green, cyan,magenta, and yellow do notcoincide with X11/CSS4colors. |
|
| Case-insensitive X11/CSS4 color namewith no spaces. |
|
Case-insensitive color name fromxkcd color survey with 'xkcd:'prefix. |
|
Case-insensitive Tableau Colors from'T10' categorical palette. |
|
'CN' color spec where Note Matplotlib indexes colorat draw time and defaultsto black if cycle does notinclude color. |
|
rcParams['axes.prop_cycle'] (default: cycler('color',['#1f77b4','#ff7f0e','#2ca02c','#d62728','#9467bd','#8c564b','#e377c2','#7f7f7f','#bcbd22','#17becf'])) |
See also
- Color Demo Example
matplotlib.colorsAPI- List of named colors Example
G Code Plotting Python Tutorial
'Red', 'Green', and 'Blue' are the intensities of those colors. In combination,they represent the colorspace.
Best Plotting Python
Matplotlib draws Artists based on the zorder parameter. If there are nospecified values, Matplotlib defaults to the order of the Artists added to theAxes.
The alpha for an Artist controls opacity. It indicates how the RGB color of thenew Artist combines with RGB colors already on the Axes.
The two Artists combine with alpha compositing. Matplotlib uses the equationbelow to compute the result of blending a new Artist.
Alpha of 1 indicates the new Artist completely covers the previous color.Alpha of 0 for top color is not visible; however, it contributes to blendingfor intermediate values as the cumulative result of all previous Artists. Thefollowing table contains examples.
3d Plotting Python
| Alpha value | Visual |
|---|---|
0.3 | |
1 |
Note
Re-ordering Artists is not commutative in Matplotlib.
'CN' color selection¶
Matplotlib converts 'CN' colors to RGBA when drawing Artists. TheStyling with cycler section contains additionalinformation about controlling colors and style properties.
The first color 'C0' is the title. Each plot uses the second and thirdcolors of each style's rcParams['axes.prop_cycle'] (default: cycler('color',['#1f77b4','#ff7f0e','#2ca02c','#d62728','#9467bd','#8c564b','#e377c2','#7f7f7f','#bcbd22','#17becf'])). They are 'C1' and 'C2',respectively.
Comparison between X11/CSS4 and xkcd colors¶
The xkcd colors come from a user survey conducted by the webcomic xkcd.
95 out of the 148 X11/CSS4 color names also appear in the xkcd color survey.Almost all of them map to different color values in the X11/CSS4 and inthe xkcd palette. Only 'black', 'white' and 'cyan' are identical.
For example, 'blue' maps to '#0000FF' whereas 'xkcd:blue' maps to'#0343DF'. Due to these name collisions, all xkcd colors have the'xkcd:' prefix.
Python Plotting Xy
The visual below shows name collisions. Color names where color values agreeare in bold.
Python Plotting Tools
Total running time of the script: ( 0 minutes 1.149 seconds)
Plotting Data In Python
Keywords: matplotlib code example, codex, python plot, pyplotGallery generated by Sphinx-Gallery