.. _sphx_glr_gallery_user_interfaces_histogram_demo_canvasagg_sgskip.py: ======================== Histogram Demo CanvasAgg ======================== This is an example that shows you how to work directly with the agg figure canvas to create a figure using the pythonic API. In this example, the contents of the agg canvas are extracted to a string, which can in turn be passed off to PIL or put in a numeric array .. code-block:: python from matplotlib.backends.backend_agg import FigureCanvasAgg from matplotlib.figure import Figure from matplotlib.mlab import normpdf import numpy as np fig = Figure(figsize=(5, 4), dpi=100) ax = fig.add_subplot(111) canvas = FigureCanvasAgg(fig) mu, sigma = 100, 15 x = mu + sigma * np.random.randn(10000) # the histogram of the data n, bins, patches = ax.hist(x, 50, normed=1) # add a 'best fit' line y = normpdf(bins, mu, sigma) line, = ax.plot(bins, y, 'r--') line.set_linewidth(1) ax.set_xlabel('Smarts') ax.set_ylabel('Probability') ax.set_title(r'$\mathrm{Histogram of IQ: }\mu=100, \sigma=15$') ax.set_xlim((40, 160)) ax.set_ylim((0, 0.03)) canvas.draw() s = canvas.tostring_rgb() # save this and convert to bitmap as needed # Get the figure dimensions for creating bitmaps or NumPy arrays, # etc. l, b, w, h = fig.bbox.bounds w, h = int(w), int(h) if 0: # Convert to a NumPy array X = np.fromstring(s, np.uint8).reshape((h, w, 3)) if 0: # pass off to PIL from PIL import Image im = Image.fromstring("RGB", (w, h), s) im.show() **Total running time of the script:** ( 0 minutes 0.000 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: histogram_demo_canvasagg_sgskip.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: histogram_demo_canvasagg_sgskip.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_