Hello there, it’s my first time here.
So I’m trying to create a dataset of synthetically generated charts to train a neural net to find bounding boxes for different elements of a chart - legend box, chart title, axes labels, etc.
For the legend box, I have tried loc
, but it only gives control over one corner of the bounding box. I want coordinates for both diagonal’s corners after they have been plotted onto the chart by Matplotlib.
I also tried using get_tightbbox
from here but it is giving me the error AttributeError: 'Legend' object has no attribute 'get_tightbbox'
. The code I used is below:
x_line = np.linspace(0, 10, 10)
y_line = np.random.uniform(size=(10,))
fig, ax = plt.subplots()
ax.plot(x_line, y_line)
leg = ax.legend(['line 1'])
p = leg.get_tightbbox(fig.canvas.get_renderer(),
call_axes_locator = True)
I would appreciate any help with the above code, or any ideas on how to find bboxes for my problem as described above. (legend box, chart title, axes labels, etc.)
Thanks