As k increases, so does the distance of the annotations from the data points. Note also that nx.spring_layout has a k parameter which controls the optimal distance between nodes. So, to apply the pos to the original scatter_data, an unshifting and unscaling must be performed. Even the position of the fixed data_nodes are rescaled. Networkx layout methods such as nx.spring_layout rescale the positions so that they all fit in a unit square (by default). The following builds on tcaswell's answer. Any help (code,algorithm,tips,thoughts) on this subject? Thanks. I am looking for a quick and effective solution. I am not an academic guy and not looking for an optimum solution, and my python codes need to label many many charts, so the the speed/memory is in the scope of consideration.
I don't know if there is any python code/package available to implement the algorithm.
I find the so called Force-based label placement is quite interesting. And the bubble quantity within the chart is less than 150 most of the time. I just want to make the chart easy for human eyes to comprehand, so some overlap is OK, not as rigid a constraint as suggests. label_box overlapping bubble is better than label_box overlapping label_box?.dynamically place the label box remotely and add an arrow line beween bubble and label box.dynamically change the offset of label box according to the crowdedness of its neighbourhood.Textcoords='offset points', ha='center', va='bottom',ībox=dict(boxstyle='round,pad=0.2', fc='yellow', alpha=0.2),īut there is still room for improvement to reduce overlap (for instance the label box offset is fixed as (-10,3)).
#Label scatter plot matplotlib how to#
I use matplotlib to plot a scatter chart:Īnd label the bubble using a transparent box according to the tip at matplotlib: how to annotate point on a scatter automatically placed arrow?Īx.annotate(annote_text, xy=(x, y), xytext=(-10,3),
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