Plt.legend(handles = legend_elements, bbox_to_anchor = (1.35, 0. Sns.rugplot(dist, alpha = 0.5, color = '#76A29F', ax = position) Sns.histplot(dist, alpha = 0.5, kde = True, stat = 'density', bins = 20, color = '#76A29F', ax = position) Legend_elements =, , color = '#76A29F', lw = 2, label = 'distribution'), ![]() My real data is more complex but here is an example that reproduces the error: import numpy as npĭistributions.append(np.random.normal(0, 0.5, 100))įirst_values.append(np.random.uniform(0.7, 1)) We first pass the text that we want to annotate, then we pass the coordinates that we want this annotation to point to, or. Also, the common x- and y-axis labels don't work. annotate supports a number of coordinate systems for flexibly positioning data and annotations relative to each other and a variety of options of for styling the text. text axes.annotate (' '+llabel, xy (9.00,Lasty -1), xytext (3,0), color'black', t extcoords'offset points', size10, va'center' ,zorder40,labelllabel ) (note the lack of ,) it will work as expected. import numpy as np import matplotlib.pyplot as plt fig, ax plt. Multiple keyword arguments can be passed to ax.annotate() method to specify the annotation. However, I don't get the annotations into the correct position, apparently not even into the correct subplot. Even when I want to place things in data coordinates, I usually want to offset it by some fixed distance in points, which is much easier with annotate. Annotations are graphical elements, often pieces of text, that explain, add context to, or otherwise highlight some portion of the visualized data. Matplotlibs ax.annotate() method creates the annotations. 1 Answer Sorted by: 2 I'm not 100 sure what you want to achieve, but I suspect something like below: import matplotlib.pyplot as plt ax1 plt.subplot (121) plt.text (0.05, 0.95, 'A', fontweight'bold', ansAxes) ax2 plt.subplot (122) plt.text (0.05, 0.95, 'B', fontweight'bold', ansAxes) plt. ![]() ![]() For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.addsubplot for adding subplots at arbitrary locations within the figure. I want to create subplots with Matplotlib by looping over my data. pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created.
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