The syntax of the plot () method is as given below: (xpoints, ypoints) The parameters used above are: xpoints: x-axis points to plot. ax.tick_params(axis='x', labelrotation=45) By using plot () function In matplotlib, the plot () method is used to generate 2D plots. This option is simple, but AFAIK you can't set label horizontal align this way so another option might be better if your angle is not 90. plt.setp(ax.get_xticklabels(), rotation=45, ha='right') We still use pyplot (as plt) here but it's object-oriented because we're changing the property of a specific ax object. Similar to above, but loop through manually instead. # otherwise get_xticklabels() will return empty strings.Īx.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='right')Īs above, in later versions of Matplotlib (3.5+), you can just use set_xticks alone: ax.set_xticks(ax.get_xticks(), ax.get_xticklabels(), rotation=45, ha='right') If you want to get the list of labels from the current plot: # Unfortunately you need to draw your figure first to assign the labels, Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. The coordinate system is determined by textcoords. matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. I have found this excellent answer to a single plot Adding value labels on a matplotlib bar chart, however I can not figure it out with subplots.
xytext(float, float), default: xy The position (x, y) to place the text at. Annotate matplotlib subplot with values Ask Question Asked 3 years, 7 months ago Modified 3 years, 7 months ago Viewed 1k times 0 I would like to annotate each barplot with the value on top each bar.
The coordinate system is determined by xycoords. xy(float, float) The point (x, y) to annotate. In later versions of Matplotlib (3.5+), you can just use set_xticks alone: ax.set_xticks(, labels, rotation=45, ha='right') Parameters: textstr The text of the annotation. If you have the list of labels: labels = Īx.set_xticklabels(labels, rotation=45, ha='right') Object-Oriented / Dealing directly with ax Option 3a Option 2Īnother fast way (it's intended for date objects but seems to work on any label doubt this is recommended though): fig.autofmt_xdate(rotation=45)
Matplotlib annotate subplot code#
Easiest / Least Code Option 1 plt.xticks(rotation=45, ha='right')Īs mentioned previously, that may not be desirable if you'd rather take the Object Oriented approach. The OP asked for 90 degree rotation but I'll change to 45 degrees because when you use an angle that isn't zero or 90, you should change the horizontal alignment as well otherwise your labels will be off-center and a bit misleading (and I'm guessing many people who come here want to rotate axes to something other than 90). 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. Many "correct" answers here but I'll add one more since I think some details are left out of several.
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