在python 3.6+和PyQt5中腌制一个QPolygon [英] Pickle a QPolygon in python 3.6+ and PyQt5
问题描述
我尝试腌制QPolygon并随后加载它,但是出现错误.我已经在带有PyQt4的Python2上完成了此操作,但现在想在带有PyQt5的Python3上使用它.
I try to pickle a QPolygon and load it afterwards, but I get an error. I have done this on Python2 with PyQt4 but want to use it now on Python3 with PyQt5.
我不想读取/加载使用Python 2生成的数据! pickle文件仅用于临时存储Qt元素,例如QPolygons从Python3到Python3.
I do not want to read/load data generated with Python 2! The pickle file is simply used to temporarily store Qt-elements like QPolygons from Python3 to Python3.
我已经为pickle.dump()测试了1-4的不同协议选项,并尝试使用"fix_imports = True"选项,该选项在Python3中不会有什么不同.
I have tested different protocol options from 1-4 for pickle.dump() and tried to use the "fix_imports=True" option which should not make a difference in Python3.
这是我的简化代码
from PyQt5.QtGui import QPolygon
from PyQt5.QtCore import QPoint
import pickle
file_name = "test_pickle.chip"
with open(file_name, 'wb') as f:
poly = QPolygon((QPoint(1, 1), QPoint(2, 2)))
pickle.dump(poly, f, protocol=2) # , fix_imports=True)
# loading the data again
with open(file_name, 'rb') as f:
elem = pickle.load(f, encoding='bytes') # , fix_imports=True)
我收到以下错误消息,但不能执行任何操作:
I get the following error message but can't do anything with it:
elem = pickle.load(f, encoding='bytes') # , fix_imports=True)
TypeError: index 0 has type 'int' but 'QPoint' is expected
除了泡菜,还有其他选择吗? 预先感谢!
Is there maybe any alternative to pickle? Thanks in advance!
推荐答案
您可以使用QDataStream
序列化/反序列化Qt对象:
You can use QDataStream
to serialize / deserialize Qt objects:
from PyQt5 import QtCore
from PyQt5.QtGui import QPolygon
from PyQt5.QtCore import QPoint, QFile, QIODevice, QDataStream, QVariant
file_name = "test.dat"
output_file = QFile(file_name)
output_file.open(QIODevice.WriteOnly)
stream_out = QDataStream(output_file)
output_poly = QPolygon((QPoint(1, 6), QPoint(2, 6)))
output_str = QVariant('foo') # Use QVariant for QString
stream_out << output_poly << output_str
output_file.close()
input_file = QFile(file_name)
input_file.open(QIODevice.ReadOnly)
stream_in = QDataStream(input_file)
input_poly = QPolygon()
input_str = QVariant()
stream_in >> input_poly >> input_str
input_file.close()
print(str(output_str.value()))
print(str(input_str.value()))
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