![]() ![]() Thanks for reading! Please check out my other work at LearningTableau, PowerBISkills, and DataScienceDrills. You should now be able to position and format text and annotations on your plots. Doing this, we see for example that “label for 6” is shifted to the left so that it no longer overlaps with “label for 7.” from adjustText import adjust_text You’ll have to pip install it first, and we’ll need to store the annotations in a list so that we can pass them as an argument to adjust_text. Luckily the python library adjustText will do the work for us. How do we prevent that? You could manually adjust the location of each label, but that would be very time-consuming. (Much more so than some we'll see further down the page.) ax.setxlabel ('The x-axis label') ax.setylabel ('The y-axis label') ax. The calls for doing this are fairly intuitive. The annotations are overlapping each other. If you have an overall title, you can use the subplotsadjust () function to ensure that it doesn’t overlap with the subplot titles: import matplotlib.pyplot as plt define subplots fig, ax plt.subplots(2, 2) fig.tightlayout(hpad2) define subplot titles ax 0, 0.settitle('First Subplot') ax 0, 1.set. Add axis labels and a title The most popular text to add is axis labels and a plot title. ![]() Y = Īx.annotate(txt, xy=(x, y), xytext=(x,y+.3)) Handling overlapping annotations Then loop through the points and use the annotate method at each point to add a label. We can first create 15 test points with associated labels. import matplotlib. See also the grouped bar, stacked bar and horizontal bar chart examples. ![]() 5, "formatted with fontdict"įontdict = ) Text(0.5, 0.49, '- style') How can we annotate all the points on a scatter plot? Bar Label Demo This example shows how to use the barlabel helper function to create bar chart labels. The font itself can be customized using either a fontdict object or with individual parameters. replace: plt. In general, if you have several axes, you will be better off using the object-oriented interface of matplotlib rather that the pyplot interface. We can customize the text position and format using optional parameters. plt.title() acts on the current axes, which is generally the last created, and not the Axes that you are thinking of. 5, "text outside plot"Īx.text(x, y, text) Text(1.3, 0.5, 'text outside plot') Changing the font size and font color After the import statement, we pass the required parameters – the x and y coordinates and the text. The text method will place text anywhere you’d like on the plot, or even place text outside the plot. Let’s start with an example of the first situation – we simply want to add text at a particular point on our plot. With annotate, we can specify both the point we want to label and the position for the label. In that situation, you’ll want the annotate method. But if you want the text to refer to a particular point, but you don’t want the text centered on that point? Often you’ll want the text slightly below or above the point it’s labeling. Matplotlib‘s text method allows you to add text as specified coordinates. You’d like to add text to your plot, perhaps to explain an outlier or label points. ![]()
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