I have a Python geoprocessing tool that creates a chart from a click on our website. I'm trying to put our company's logo in the chart, but it's a little too big and it's blocking some of the X axis labels. I've tried physically resizing the .png in Windows and linking to the smaller version. No matter which one I use, it's displayed the same size in the chart. I haven't been able to find a clear solution online. Here is my code:
fig, ax1 = plt.subplots(figsize=(12,8),facecolor='w') logo = plt.imread(get_sample_data("our logo")) axim = fig.add_axes([0.01,0.01,0.2,0.14], anchor='SW') axim.imshow(logo, aspect='auto') axim.axis('off')
In the matplotlib docs there are some examples using PIL (Python Image Library) to resize the image before plotting:
In : from PIL import Image In : img = Image.open('../_static/stinkbug.png') In : img.thumbnail((64, 64), Image.ANTIALIAS) # resizes image in-place In : imgplot = plt.imshow(img)
Perhaps give that a try?
I tried this and nothing showed up. I've always had problems with PIL.
Yeah its not something I've used often, just saw the snippet in the docs and figured it was a different approach worth trying.
I also just found this tutorial which looks better than the PIL approach, uses OffsetImage and AnnotationBox:
pylab_examples example code: demo_annotation_box.py — Matplotlib 2.0.2 documentation