October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How to do it...
The following code block defines the function and makes a call to the function to plot the Hinton diagram:
- Read the weight matrix data from an Excel file:
matrix = np.asarray((pd.read_excel('weight_matrix.xlsx')))
- Instantiate the figure and axes:
fig, ax = plt.subplots()
- Set up the parameters for the axes:
ax.patch.set_facecolor('gray')ax.set_aspect('equal', 'box')ax.xaxis.set_major_locator(plt.NullLocator())ax.yaxis.set_major_locator(plt.NullLocator())
- Plot the Hinton diagram:
max_weight = 2 ** np.ceil(np.log(np.abs(matrix).max()) / np.log(2))for (x, y), w in np.ndenumerate(matrix): color = 'white' if w > 0 else 'black' size = np.sqrt(np.abs(w) / max_weight) rect = plt.Rectangle([x - size / 2, y - size / 2], size, ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.