Python:如何在烧瓶中显示matplotlib [英] Python: How to show matplotlib in flask
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问题描述
我对Flask和Matplotlib非常陌生.我希望能够显示我在某些html中生成的简单图表，但是我很难弄清楚该如何做.这是我的Python代码:
I'm very new to Flask and Matplotlib. I'd like to be able to show a simple chart I generated in some html, but I'm having a very hard time figuring out how. Here is my Python code:
from flask import Flask, render_template
import numpy as np
import pandas
import matplotlib.pyplot as plt
app = Flask(__name__)
variables = pandas.read_csv('C:\\path\\to\\variable.csv')
price =variables['price']
@app.route('/test')
def chartTest():
lnprice=np.log(price)
plt.plot(lnprice)
return render_template('untitled1.html', name = plt.show())
if __name__ == '__main__':
app.run(debug = True)
这是我的HTML:
<!doctype html>
<html>
<body>
<h1>Price Chart</h1>
<p>{{ name }}</p>
<img src={{ name }} alt="Chart" height="42" width="42">
</body>
</html>
推荐答案
您可以在Flask URL路由处理程序中即时生成图像:
You can generate the image on-the-fly in Flask URL route handler:
import io
import random
from flask import Response
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
@app.route('/plot.png')
def plot_png():
fig = create_figure()
output = io.BytesIO()
FigureCanvas(fig).print_png(output)
return Response(output.getvalue(), mimetype='image/png')
def create_figure():
fig = Figure()
axis = fig.add_subplot(1, 1, 1)
xs = range(100)
ys = [random.randint(1, 50) for x in xs]
axis.plot(xs, ys)
return fig
然后，您需要在HTML模板中添加图片:
Then you need to include the image in your HTML template:
<img src="/plot.png" alt="my plot">
这篇关于Python:如何在烧瓶中显示matplotlib的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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