![]() ![]() Now using this knowledge, lets code a simple example using annotation in matplotlib. ![]() arrowprops: A dictionary of key-value pairs which define various properties for the arrow, such as color, size and arrowhead type. # by changing the coorinates of the above you can repeat this for the y axis tooĪx.text(rect.get_x() + rect.get_width()/2., 1. xytext: The coordinates for where you want to text to display. # Can add further annotations for the y-axis here similar to the above # # annotating the x axis #Īx.annotate('', xy=(0, -2),xytext=(3,-2.09), #draws an arrow from one set of coordinates to the otherĪrrowprops=dict(arrowstyle='',facecolor='red'), #sets style of arrow and colourĪnnotation_clip=False) #This enables the arrow to be outside of the plotĪx.annotate('xyz',xy=(1.1,-3.8),xytext=(1.3,-3.8), #Adds another annotation for the text that you wantĪx.annotate('', xy=(3.1, -2),xytext=(5,-2.09), #Repeating for however many arrows you want under the axesĪrrowprops=dict(arrowstyle='',facecolor='red'),Īx.annotate('abc',xy=(3.6,-3.8),xytext=(3.9,-3.8), # add some text for labels, title and axes ticksĪx.set_title('Scores by group and gender')Īx.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))Īx.legend((rects1, rects2), ('Men', 'Women')) Rects2 = ax.bar(ind + width, womenMeans, width, color='y', yerr=womenStd) Rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd) Ind = np.arange(N) # the x locations for the groups Perhaps the most basic types of annotations you will use are axes labels. ![]() In some cases, this story can be told in an entirely visual manner, without the need for added text, but in others, small textual cues and labels are necessary. The most part of this code is taken from the example you gave a link to in your question. Creating a good visualization involves guiding the reader so that the figure tells a story. Here is a piece of code that will do what you require for the x-axis. I have used the annotate function that is described in the documentation In single-point annotation we can use and mention the x coordinate of the scatter point and y coordinate + some factor so that text can be distinctly visible from the plot, and then we have to mention the text. A quick read of the documentation will help, which can be found here. ![]()
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