matplotlib에서 flask로 이미지 생성

matlot.json

{
  " ": 15260,
  " ": 12586,
  " ": 13305,
  " ": 9000,
  " ": 16060,
  " ": 14010,
  " ": 8000,
  " ": 7800,
  " ": 8500
}

func.py

import json


def json_to_dict(filename):
    json_file = open(filename, 'r', encoding='utf-8')
    return json.loads(json_file.read())

views.py

from . import matlot
from matplotlib.pylab import *
from flask import render_template
from io import BytesIO
from .func import json_to_dict, ax
import base64

def json_img(data):
    font = {'family': 'SimHei',
            'weight': 'bold',
            'size': '14'}
    rc('font', **font)  #  
    rc('axes', unicode_minus=False)
    rcParams['savefig.dpi'] = 100  #  

    for x, y in data.items():
        bar(x, y, align='center')   #  
        text(x, y + 100, '%.2f' % y, ha='center', va='bottom', size=10, color="#909299") #  

    #  ，py3 BytesIO()
    img = BytesIO()
    savefig(img, format='png')
    img.seek(0)
    # img base64 
    img_base64 = base64.b64encode(img.getvalue()).decode('utf8')

    #  ， 
    ax = gca()
    ax.spines['right'].set_color('none') #  
    ax.spines['top'].set_color('none') #  
    ax.xaxis.set_ticks_position('bottom')
    ax.spines['bottom'].set_position(('data',0)) #  0 
    
    return img_base64


@matlot.route('/')
def fig():
    data = json_to_dict('./file/matlot.json')
    # print(data)
    # return send_file(json_img(data), mimetype='image/png')
    return render_template('fig.html',img_base64=json_img(data))