How to draw shapes in matplotlib with Python
The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. The solution of BasJansen certainly gets you there, it's either very inefficient if you use many grid points or inaccurate if you use only few grid points.
You can easily draw the circle directly. Learn more. Plot equation showing a circle Ask Question. Asked 4 years, 8 months ago. Active 2 years, 11 months ago. Viewed 24k times. It must be possible but I have difficulty transforming the equation to a plot. Elyakim Elyakim 1 1 gold badge 4 4 silver badges 12 12 bronze badges. Active Oldest Votes. Thanks to Dux You can add plt. Bas Jansen Bas Jansen 2, 3 3 gold badges 21 21 silver badges 54 54 bronze badges.
Way better solution! Dux I have a similar plot in my standard recipe book, I just had to modify it a bit my initial answer was more complex than required. Seem a traight forward way of making it. Use plt. Isn't that a very inefficient way to draw a circle? You need to create two grids of variables and then run a contour algorithm on it. See my answer for a different approach.
But what you really want to do is to transform your cartesian coordinates to polar ones. So now you can use that for your plot: import numpy as np import matplotlib. Isn't this exactly as efficient as plotting x1 and x2 in Bas Jansen's or my answer since you still plot on a cartesian grid and interpolation between these points will be linear instead of curved?
You simply showed a maybe more elegant way of calculating the points on the circle All solutions have the same efficiency in drawing the circle.
However, Bas Jansen's answer is very inefficient in creating the data. Your solution is very similar to mine, the only difference is in my solution the points which make up the circle are equally spaced.
You'll see the difference when you show the points with plt. And have you tried closing the circle with your method? How about drawing x-values and calculating the corresponding y-values?
Dux Dux 1, 8 8 silver badges 27 27 bronze badges. Sign up or log in Sign up using Google.There are lots of reasons why we might want to draw a line or circle on our charts.
We could look to add an average line, highlight a key data point or even draw a picture. This article will show how to add lines, circles and arcs with the example of a football pitch map that could then be used to show heatmaps, passes or anything else that happens during a match.
It is easiest for us to start with our lines around the outside of the pitch. Take a look at the code and plot below to understand our outlines. Use the colour guides to see how they are plotted with start and end point lists.
Great job! Matplotlib makes drawing lines very easy, it just takes some clear thinking with start and end locations to get them plotted. Primarily, we need a centre circle, but we also need markers for the centre and penalty spots. Adding circles is slightly different to lines. Firstly, we need to assign our circles to a variable. While they take a few more arguments, they follow the same pattern as before.
Our code will look like this for one arc:. The code below applies the above lines, cricles and arcs to a function for quick and easy use.
The only new line removes our axes:. Take a look through our function belong and follow what we are doing. Feel free to take this and use it as the base for your own plots! These tools are equally important when drawing a map on which we will plot our data — like our pitchmap example here. Take a look at our other visualisation articles here and be sure to get in touch with us on Twitter! Drawing Lines It is easiest for us to start with our lines around the outside of the pitch.
Take a look at our code below:. Circle 65459. Circle 65450. Bringing everything together The code below applies the above lines, cricles and arcs to a function for quick and easy use. The only new line removes our axes: plt.As well a being the best Python package for drawing plots, Matplotlib also has impressive primitive drawing capablities. Combined with NumPy and SciPythis provides a quite capable simulation environment. Note: You should already know how to work with Matplotlib.
Primative shapes in Matplotlib are known as patches, and are provided by the patches module. Subclasses of patch provide implementations for Rectangles, Arrows, Ellipses and then Arcs, Circles and so on. All of this is part of the Artist API, which also provides support for text. In fact, everything drawn using Matplotlib is part of the artists module.
The differences are in how the figure is initialised. It accepts a tuple of the bottom left hand corner, followed by a width and a height. In this case, it gives us a red rectangle without a border.
Various others are also supported, as this is just a subclass of Patch. It accepts a tuple of the centre point, and then the radius.
A basic line is a Line2D instance. The first tuple gives the x positions of the line, the second gives the y positions. Much like lines that are part of plots in Matplotlib, the line has a lot of configurable styles, such as the following:.
Polygons are just a series of points connected by lines — allowing you to draw complex shapes. The Polygon patch expects an Nx2 array of points. Polygons are also a nice way to implement a multi-step line, this can be done by tuning the Polygon constructor somewhat:.
This gives the red line in Figure 4. The interest here is to move certain shapes around, and in the case of something like a line which could, for example, represent a path update its state.
The init function serves to setup the plot for animating, whilst the animate function returns the new position of the object. This helps hugely with performance.
The purpose of returning patch, from both init and animate is to tell the animation function which artists are changing. Both of these except a tuple as you can be animating multiple different artists.
The Circle is initially created off screen as we need to initialise it before animating. Without initialising off screen, blitting causes a bit of an artifact. But generally, simple Artist animation is a bit thin on the ground.
Hopefully this helps with that somewhat. I initially wanted to be able to export in two formats, one as an H. My initial assumption was that a gif would most likely have less of an overhead than that of a video and it would avoid browser inconsistencies.
How to plot a circle in python using matplotlib ?
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Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I tried some variants of this:. You need to add it to an axes. The third green circle shows what happens when you don't clip the Artist. It extends beyond the axes but not beyond the figure, ie the figure size is not automatically adjusted to plot all of your artists.
The units for x, y and radius correspond to data units by default. In this case, I didn't plot anything on my axes fig. You can see how I set the fill of the 2nd circle to Falsewhich is useful for encircling key results like my yellow data point. A quick condensed version of the accepted answer, to quickly plug a circle into an existing plot. Refer to the accepted answer and other answers to understand the details.
If you want to plot a set of circles, you might want to see this post or this gist a bit newer. The post offered a function named circles. The function circles works like scatterbut the sizes of plotted circles are in data unit. If you aim to have the "circle" maintain a visual aspect ratio of 1 no matter what the data coordinates are, you could use the scatter method. Note the difference between ax. Hello I have written a code for drawing a circle.
It will help for drawing all kind of circles. The image shows the circle with radius 1 and center at 0,0 The center and radius can be edited of any choice. Similarly to scatter plot you can also use normal plot with circle line style. Using markersize parameter you can adjust radius of a circle:. Learn more. Asked 8 years, 2 months ago. Active 13 days ago. Viewed k times. I tried some variants of this: import matplotlib.
Circle 0,0 ,2 here must be something like circle. Max Li Max Li 3, 3 3 gold badges 15 15 silver badges 33 33 bronze badges. I'm sure it's possible to do this, but matplotlib is aimed mainly at plotting i.
Radius of scatterplot points is increasingly used to visualize data. Google charts calls them "bubble plots". This is plotting, not drawing. I searched the matplotlib github repo for "bubble" and "scatter radius" to no avail, so I don't think this is on the to-do list as far as adding a feature. You can pass lists for the x- and y-coordinates of circles, the circles' radii, and the circles' colors.Sign in to answer this question.
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The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. For your example, we need to loop through the X and Y arrays, and then create a circle patch for each coordinate.
Learn more. Asked 4 years, 2 months ago. Active 4 months ago. Viewed 23k times. I have numpy arrays which hold circle centers. Neuron 3, 3 3 gold badges 20 20 silver badges 37 37 bronze badges. Quite so. If you want to draw circles directly onto a numpy array, you can use the Python Imaging Library.
See my answer at stackoverflow. See the PIL docs for details: effbot. Active Oldest Votes. You can do this with the matplotlib. Circle patch. Here's an example placing circles on top of an image from the matplotlib. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name.
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A mapping of attribute names to lists of CustomJS callbacks, to be set up on BokehJS side when the document is created. No uniqueness guarantees or other conditions are enforced on any names that are provided, nor is the name used directly by Bokeh for any reason. Circle markers are slightly unusual in that they support specifying a radius in addition to a size.
Only one of radius or size should be given. Note that Circle glyphs are always drawn as circles on the screen, even in cases where the data space aspect ratio is not If the aspect ratio is very large or small, the drawn circles may appear much larger or smaller than expected.
See for more information. This property allows that direction to be controlled. List of events that are subscribed to by Python callbacks. This is the set of events that will be communicated from BokehJS back to Python for this model. Or simply a convenient way to attach any necessary metadata to a model that can be accessed by CustomJS callbacks, etc. No uniqueness guarantees or other conditions are enforced on any tags that are provided, nor are the tags used directly by Bokeh for any reason.
Apply a set of theme values which will be used rather than defaults, but will not override application-set values. The passed-in dictionary may be kept around as-is and shared with other instances to save memory so neither the caller nor the HasProps instance should modify it.
Collect the names of all DataSpec properties on this class. This method always traverses the class hierarchy and includes properties defined on any parent classes. Collect a dict mapping the names of all DataSpec properties on this class to the associated properties. This is a convenience method that simplifies adding a CustomJS callback to update one Bokeh model property whenever another changes value.