Reputation: 450
I'm trying to superimpose an image in the back of a matplotlib plot. It is being rendered as HTML in a flask website so I am saving the plot as an image before inserting it. The plot without the background image looks like this:
The code that produces the above output is here:
fname = 'scatter_averages.png'
url_full = os.path.join(_path_full, fname)
image = plt.imread("app/static/images/quantum_grid.jpg")
if os.path.isfile(url_full):
os.remove(url_full)
plt.clf()
df = self.text_numeric_averages()
if df is not None:
plt.figure(figsize=(6, 8))
fig, ax = plt.subplots()
df.index += 1
x, y = df.iloc[:, 2], df.iloc[:, 1]
ax.plot(x, y, '-o')
plt.xlabel(df.columns[2])
plt.ylabel(df.columns[1])
for i in range(len(df)):
xyi = df.iloc[i, :].values
ax.annotate(str(df.index[i]) + " " + xyi[0][:3], (xyi[2], xyi[1]))
axes = plt.gca()
y_min, y_max = axes.get_ylim()
x_min, x_max = axes.get_xlim()
# ax.imshow(image, extent=[x_min, x_max, y_min, y_max])
plt.savefig(url_full)
The commented out line above is my attempt to get the image to superimpose. The output when that line is uncommented is this:
How do I keep the sizing and scale of the first image but use the background image in the second plot as the background? I'm not concerned with the image looking distorted.
Upvotes: 7
Views: 282
Reputation: 450
ax.imshow(image, extent=[x_min, x_max, y_min, y_max], aspect="auto")
This will fix it.
Upvotes: 6