本文介绍了如何渲染和返回剧情在烧瓶中查看?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
如何在使用 matplotlib 可以这样做: / p>
#添加此导入
导入StringIO
导入base64
@devices_blueprint。 route('/ devices / test /')
def test():
img = StringIO.StringIO()
y = [1,2,3,4,5]
x = [0,2,1,3,4]
plt.plot(x,y)
plt.savefig(img,format ='png')
img.seek(0)
plot_url = base64.b64encode(img.getvalue())
return render_template('test.html',plot_url = plot_url)
在您的Html文件中:
< img src =data:image / png; base64,{{plot_url}}>
如果您想使用,你只需要 import seaborn 并设置你想要的样式,例如
...
导入seaborn作为s
...
@ devices_blueprint.route('/ devices / test /')
def test():
$ b $ img = StringIO.StringIO()
sns.set_style(dark)#EG
y = [1,2,3,4,5]
x = [0,2,1,3,4]
plt.plot(x, y)
plt.savefig(img,format ='png')
img.seek(0)
plot_url = base64.b64encode(img.getvalue())
return render_template('test.html',plot_url = plot_url)
How do I render a plot to the view in flask?
devices.py:
@devices_blueprint.route('/devices/test/') def test(): y = [1,2,3,4,5] x = [0,2,1,3,4] plot_url = plt.plot(x,y) return render_template('devices/test.html', plot_url=plot_url)
test.html
<div class="container"> <h2>Image</h2> <img src= {{ resized_img_src('plot_url') }} class="img-rounded" alt="aqui" width="304" height="236"> </div>
Im trying to use seaborn with this, but even with matplolib I couldn’t get any result.
Note: I don’t want to save image and load it after.
解决方案
With matplotlib you can do:
#Add this imports import StringIO import base64 @devices_blueprint.route('/devices/test/') def test(): img = StringIO.StringIO() y = [1,2,3,4,5] x = [0,2,1,3,4] plt.plot(x,y) plt.savefig(img, format='png') img.seek(0) plot_url = base64.b64encode(img.getvalue()) return render_template('test.html', plot_url=plot_url)
In your Html put:
<img src="data:image/png;base64, {{ plot_url }}">
If you want to use seaborn, you just need to import seaborn and set the styles you want, e.g.
... import seaborn as sns ... @devices_blueprint.route('/devices/test/') def test(): img = StringIO.StringIO() sns.set_style("dark") #E.G. y = [1,2,3,4,5] x = [0,2,1,3,4] plt.plot(x,y) plt.savefig(img, format='png') img.seek(0) plot_url = base64.b64encode(img.getvalue()) return render_template('test.html', plot_url=plot_url)
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