Matplotlib scatter smaller dots12/10/2023 Imscatter(x, y, image_path, zoom=0.1, ax=ax)ĭef imscatter(x, y, image, ax=None, zoom=1):Īb = AnnotationBbox(im, (x0, y0), xycoords='data', frameon=False)Īx.update_datalim(np. Here's an example of the second option: import numpy as npįrom matplotlib.offsetbox import OffsetImage, AnnotationBboxįrom matplotlib.cbook import get_sample_data Using imshow will tie the size of the image to the data coordinates of the plot. The annotation box approach will allow the image to stay at a constant size as you zoom in. Since the markersize is given in points, one would need to use the figure dpi to calculate the size of one pixel in points. The first way is the easiest to understand, but the second has a large advantage. The solution is to use a usual 'o' or 's' marker, but set the markersize to be exactly one pixel. x1, y1 randdata () for i in range (2) x2, y2. import matplotlib.pyplot as plt import numpy as np def randdata (): return np.random.uniform (low0., high1., size (100,)) Generate data. I'm making some scatter plots and I want to set the size of the points in the legend to a fixed, equal value. Use an OffsetImage inside an AnnotationBbox. Setting a fixed size for points in legend.Plot the image using imshow with the extent kwarg set based on the location you want the image at.It can be a float if all the markers have the same size or an array-like data structure if the markers have. The key is to map the scatter PathCollection to a HandlerPathCollection with an updating function being set to it. This parameter defines the size of the marker. This has the advantage that it would not use any "private" methods and works even with other objects than scatters present in the legend. Plt.legend(,, loc="lower left", markerscale=2, plt. When drawing a dot plot using matplotlib, I would like to offset overlapping datapoints to keep them all visible. points should not scale as I scale the plot and have size of 1 pixel always. H1 = Line2D(,, marker='o', markersize=np.sqrt(20), color='b', linestyle='None') Is it possible to do scatter plot in python, having points have minimal size of 1 pixel at given scale I.e. The only real downside is that you have to construct the legend explicitly from lists of objects and labels, but this is a well-documented matplotlib feature so it feels pretty safe to use. This is nice because it doesn't require placing an object in your axes (potentially triggering a resize event), and it doesn't require use of any hidden attributes. You can make a Line2D object that resembles your chosen markers, except with a different marker size of your choosing, and use that to construct the legend. But now you can use everything scatter offers. No need to touch the source, even though this is quite a hack. Now the _sizes (another underscore property) does the trick. Lgnd = plt.legend(loc="lower left", scatterpoints=1, fontsize=10) A better hack: import matplotlib.pyplot as plt Setting the transparency to be smaller than 1 could be one way to visualize this A more frequent dot will appear darker/less transparent if alpha is smaller than 1: plt.scatter(x, y, s80, alpha0. It may break down at any update in matplotlib.
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