Plt.scatter(group.x, group.y, s=sizes, alpha=0. Labels = įor i, (name, group) in enumerate(grouped): Grouped = df.groupby(np.digitize(df.a2, bins)) # Create the DataFrame from your randomised data and bin it using groupby.ĭf = pd.DataFrame(data=dict(x=x, y=y, a2=a2))īins = np.linspace(df.a2.min(), df.a2.max(), M) Using this method you could vary other parameters for each bin, such as the marker shape or colour. You can always increase the number of bins to make it finer as suits you. Note this is slightly different to your stated problem as the marker sizes are binned, this means that two elements in a2, say 36 and 38, will have the same size as they are within the same binning. I have used the binning recipe from this question. It plots each group and assigns it a label and a size for the markers. I have hit a snag in making some figures for a project I am working on. But now you can use everything scatter offers.The solution below used pandas to group the sizes together into set bins (with groupby). Scatter plot marker size and legend, markers area, but how do I get legend labels diameter Ask Question Asked 1 year, 5 months ago Modified 6 months ago Viewed 592 times 0 I have been a long time viewer of your questions and answers as I learn python. No need to touch the source, even though this is quite a hack. Now the _sizes (another underscore property) does the trick. In this case, the labels are taken from the artist. Lgnd = plt.legend(loc="lower left", scatterpoints=1, fontsize=10) Automatic detection of elements to be shown in the legend The elements to be added to the legend are automatically determined, when you do not pass in any extra arguments. Plt.scatter(x2, y2, marker='o', label='second', s=35., c='r') I draw a plot with markers like so: plt.scatter(xs1, ys1, s12, linewidths0, marker'o', label'hello') plt.scatter(xs2, ys2, s12, linewidths0, marker'x', label'hello') this produces the right size in the graph, but the symbols are hardly intelligible in the legend. Instead of copying scatter objects, just use plot to create the legend symbol. A better hack: import matplotlib.pyplot as plt Since a single scatter object can have varying marker sizes, the size of the marker in the legend does not represent a particular marker size. It may break down at any update in matplotlib. the marker size changed manually to be 6 points for both markers in the legendĪs you can see, this utilizes hidden underscore properties ( _legmarker) and is bug-ugly.scatter changed into a plot, which changes the marker scaling (hence the sqrt) and makes it impossible to use changing marker size (if that was intended).import matplotlib.pyplot as plt import seaborn as sns. The size is then indicated from the output of the scatter function, using legendelements for the sizes. Looping of the dataset grouped by gender allows to generate a color per gender (and corresponding legend). #change the marker size manually for both lines This code is based on the Matplotlib's tutorial on scatter plot with legends. Lgnd = plt.legend(loc="lower left", numpoints=1, fontsize=10) ![]() Plt.plot(x2, y2, 'o', label='second', markersize=np.sqrt(35.), c='r') The center of the marker is located at (0, 0) and the size is normalized, such that the created path is. If you want markers in your legend, you essentially have to use one of those two objects. However, I have a hack which does probably what you want: import matplotlib.pyplot as plt in matplotlib, 'markers' are just things that are used in the plt.plot or plt.scatter creates Line2D objects, plt.scatter creates PathCollection objects. The scatter plots are especially challenging in this respect. Q: How do I change the size of the scatter plot markers in Matplotlib A: You can change the marker size using the ‘s’ parameter in the plt.scatter() function. Neither of these is very much fun, though #1 seems to be easier. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a value between 0 and 1. The transform (scaling) has to take the original size into account. Scatter plots with a legend To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly. Add a transform into the PathCollection objects representing the dots in the image.It is especially difficult with scatter plots ( wrong: see the update below). Bad news is that there does not seem to be any simple way of setting equal sizes of points in the legend. I had a look into the source code of matplotlib.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |