感谢您的时间：
我创建了一个烧瓶服务器，它从表单帖子中获取变量并输出饼图或条形图。在调试时，我注意到了这个错误：
Error in atexit._run_exitfuncs:
Traceback (most recent call last):
File "C:\Python27\lib\atexit.py", line 24, in _run_exitfuncs
func(*targs, **kargs)
File "C:\Python27\lib\site-packages\matplotlib\_pylab_helpers.py", line 92, in destroy_all
manager.destroy()
File "C:\Python27\lib\site-packages\matplotlib\backends\backend_tkagg.py", line 618, in destroy
self.canvas._tkcanvas.after_cancel(self.canvas._idle_callback)
File "C:\Python27\lib\lib-tk\Tkinter.py", line 616, in after_cancel
self.tk.call('after', 'cancel', id)
TclError: out of stack space (infinite loop?)
Error in sys.exitfunc:
Traceback (most recent call last):
File "C:\Python27\lib\atexit.py", line 24, in _run_exitfuncs
func(*targs, **kargs)
File "C:\Python27\lib\site-packages\matplotlib\_pylab_helpers.py", line 92, in destroy_all
manager.destroy()
File "C:\Python27\lib\site-packages\matplotlib\backends\backend_tkagg.py", line 618, in destroy
self.canvas._tkcanvas.after_cancel(self.canvas._idle_callback)
File "C:\Python27\lib\lib-tk\Tkinter.py", line 616, in after_cancel
self.tk.call('after', 'cancel', id)
_tkinter.TclError: out of stack space (infinite loop?)
这似乎导致服务器重新加载（成功地为它的价值）这是一个问题。不知道在这里发生了什么，除了tkinter感到不安。而且，我的google fu没有运气。
烧瓶服务器（w调试设置。映射的变量是由项目需求决定的。）：
# Flask App that functions as a graph end point replacement "DAC-780"
# Standard Library
import os
import uuid
# Third Party
from flask import Flask, request
# Local
from pie import make_pie
from bar import make_bar
app_root = os.path.dirname(os.path.abspath(__file__))
images = os.path.join(app_root, 'static/images')
app = Flask(__name__, static_folder="static")
app._static_folder = os.path.join(app_root, 'static')
@app.route('/charts/<path>', methods=['POST'])
def graph(path):
g_data_list = []
file_name = str(uuid.uuid4())
# if bar graph
if path == "chart4.asp":
# grab vars
g_title = str(request.form['Title'])
x_title = str(request.form['CatTitle'])
y_title = str(request.form['ValTitle'])
ser1 = str(request.form['Ser1'])
ser2 = str(request.form['Ser2'])
cat1 = str(request.form['Cat1'])
cat2 = str(request.form['Cat2'])
cat3 = str(request.form['Cat3'])
cat4 = str(request.form['Cat4'])
cat5 = str(request.form['Cat5'])
cat6 = str(request.form['Cat6'])
cat7 = str(request.form['Cat7'])
cat8 = str(request.form['Cat8'])
cat9 = str(request.form['Cat9'])
cat10 = str(request.form['Cat10'])
cat11 = str(request.form['Cat11'])
cat12 = str(request.form['Cat12'])
cat13 = str(request.form['Cat13'])
s1d1 = int(request.form['S1D1'])
s1d2 = int(request.form['S1D2'])
s1d3 = int(request.form['S1D3'])
s1d4 = int(request.form['S1D4'])
s1d5 = int(request.form['S1D5'])
s1d6 = int(request.form['S1D6'])
s1d7 = int(request.form['S1D7'])
s1d8 = int(request.form['S1D8'])
s1d9 = int(request.form['S1D9'])
s1d10 = int(request.form['S1D10'])
s1d11 = int(request.form['S1D11'])
s1d12 = int(request.form['S1D12'])
s1d13 = int(request.form['S1D13'])
s2d1 = int(request.form['S2D1'])
s2d2 = int(request.form['S2D2'])
s2d3 = int(request.form['S2D3'])
s2d4 = int(request.form['S2D4'])
s2d5 = int(request.form['S2D5'])
s2d6 = int(request.form['S2D6'])
s2d7 = int(request.form['S2D7'])
s2d8 = int(request.form['S2D8'])
s2d9 = int(request.form['S2D9'])
s2d10 = int(request.form['S2D10'])
s2d11 = int(request.form['S2D11'])
s2d12 = int(request.form['S2D12'])
s2d13 = int(request.form['S2D13'])
# vars i mapped but weren't needed for my graph lib
g_type = str(request.form['Type'])
g_cats = str(request.form['Cats'])
g_series = str(request.form['Series'])
cat_title = str(request.form['CatTitle'])
# add data to g_data_list so we can process it
g_data_list.append((ser1, [s1d1, s1d2, s1d3, s1d4, s1d5, s1d6, s1d7, s1d8,
s1d9, s1d10, s1d11, s1d12, s1d13]))
g_data_list.append((ser2, [s2d1, s2d2, s2d3, s2d4, s2d5, s2d6, s2d7, s2d8,
s2d9, s2d10, s2d11, s2d12, s2d13]))
x_labels = [cat1, cat2, cat3, cat4, cat5, cat6, cat7, cat8, cat9, cat10,
cat11, cat12, cat13]
# make a graph to return in html
graph = make_bar(g_title, y_title, x_labels, g_data_list, file_name, cat_title, x_title)
else:
# all others are probably pie graphs
g_title = str(request.form['Title'])
cat1 = str(request.form['Cat1'])
cat2 = str(request.form['Cat2'])
cat3 = str(request.form['Cat3'])
cat4 = str(request.form['Cat4'])
s1d1 = int(request.form['S1D1'])
s1d2 = int(request.form['S1D2'])
s1d3 = int(request.form['S1D3'])
s1d4 = int(request.form['S1D4'])
# vars that aren't needed for replications of the final product, but
# were part of the old code
g_type = str(request.form['Type'])
g_cats = str(request.form['Cats'])
g_series = str(request.form['Series'])
cat_title = str(request.form['CatTitle'])
val_title = str(request.form['ValTitle'])
s1 = str(request.form['Ser1'])
s2 = str(request.form['Ser2'])
# add data
g_data_list.append([cat1, s1d1])
g_data_list.append([cat2, s1d2])
g_data_list.append([cat3, s1d3])
g_data_list.append([cat4, s1d4])
# make graph to send back via html
graph = make_pie(g_title, g_data_list, file_name)
# make a web page with graph and return it
html = """
<html>
<head>
<title>%s</title>
</head>
<body>
<img src="/static/images/%s.png" alt="An Error Occured"/>
</body>
</html>
""" % (g_title, str(file_name))
return html
if __name__ == '__main__':
app.run(port=3456, host="0.0.0.0", debug=True)
bar.py：
# creates a bar chart based on input using matplotlib
import os
import numpy as np
import matplotlib.pyplot as plt
from pylab import rcParams
rcParams['figure.figsize'] = 6.55, 3.8
app_root = os.path.dirname(os.path.abspath(__file__))
images = os.path.join(app_root, 'static/images')
def make_bar(g_title, y_title, x_labels, data_series, file_name, cat_title,
x_title):
n_groups = 13
bar_width = 0.35
opacity = 0.4
fig, ax = plt.subplots()
index = np.arange(n_groups)
error_config = {'ecolor': '0.3'}
plt.bar(index, tuple(data_series[0][1]), bar_width,
alpha=opacity,
color='b',
error_kw=error_config,
label='{}'.format(data_series[0][0]))
plt.bar(index + bar_width, tuple(data_series[1][1]), bar_width,
alpha=opacity,
color='r',
error_kw=error_config,
label='{}'.format(data_series[1][0]))
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
plt.xlabel(x_title, fontsize=10)
plt.ylabel(y_title, fontsize=10)
plt.title(g_title, fontsize=11)
plt.xticks(index + bar_width, tuple(x_labels), fontsize=8)
plt.yticks(fontsize=8)
plt.axis('tight')
lgd = plt.legend(fontsize=8, bbox_to_anchor=(1.15, 0.5))
plt.tight_layout()
plt.draw()
plt.savefig('{}/{}.png'.format(images, file_name),
dpi=100, format='png', bbox_extra_artists=(lgd,),
bbox_inches='tight')
return
pie.py：
# creates a pie chart w/ matplotlib
import os
import matplotlib.pyplot as plt
from pylab import rcParams
app_root = os.path.dirname(os.path.abspath(__file__))
images = os.path.join(app_root, 'static/images')
def make_pie(title, g_data_list, file_name):
rcParams['figure.figsize'] = 5.75, 3
labels = [entry[0] for entry in g_data_list]
sizes = [entry[1] for entry in g_data_list]
ax = plt.subplot(111)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.7, box.height])
patches, texts = ax.pie(sizes, startangle=90)
ax.legend(patches, labels, loc='center left',
bbox_to_anchor=(.9, 0.5), fontsize=8)
plt.axis('equal')
plt.suptitle(g_title, fontsize=12)
plt.draw()
plt.savefig('{}/{}.png'.format(images, file_name), dpi=100, format='png')
return
答案 0 :(得分：0)
我注意到，在关闭绘图窗口后，绘制所有内容的函数（单独运行时）将保持运行状态。添加plt.clf（）修复了这个问题，并且似乎也是我与Flask相关的解决方案。
答案 1 :(得分：0)
seaborn也有同样的问题
import matplotlib
matplotlib.use('Agg')
对我有帮助。
详细信息：https://matplotlib.org/faq/usage_faq.html#what-is-a-backend