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This seems to be an old question and without activity for a while but I bumped into this facing a similar problem recently. I was able to solve it so I thought I could share my solution. Here it goes.
In your html template you should have a button to trigger an ajax request. For example:
***index.html***
<a href="#" id="plot">Plot</a>
<div id="imagediv"></div>
$('#plot').click(function(){
$.ajax({
"type" : "GET",
"url" : "/Plot/",
"data" : "str",
"cache" : false,
"success" : function(data) {
$('#imagediv').html(data);
}
});
});
Your views.py (or a separate file if you wish for example: utils.py) should have a function to draw the graph.
***utils.py***
@login_required()
def MatPlot(request):
# Example plot
N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = np.pi * (15 * np.random.rand(N)) ** 2
plt.scatter(x, y, s=area, c=colors, alpha=0.5)
# The trick is here.
f = io.BytesIO()
plt.savefig(f, format="png", facecolor=(0.95, 0.95, 0.95))
encoded_img = base64.b64encode(f.getvalue()).decode('utf-8').replace('\n', '')
f.close()
# And here with the JsonResponse you catch in the ajax function in your html triggered by the click of a button
return JsonResponse('<img src="data:image/png;base64,%s" />' % encoded_img, safe=False)
Of course you need to wire this function with a url, so:
***urls.py***
url(r'^plot/$', Matplot, name='matplot')
Source:stackexchange.com