python-3.6

问题 I have a 2D numpy array of type np.float64, and I want to show it as an image in a QLabel (or any other valid way): self.img = np.rot90(get_my_data()) # this line returns a 2D numpy array of type np.float64 self.qimg = QtGui.QImage(self.img, self.img.shape[0], self.img.shape[1], QtGui.QImage.Format_Grayscale8) self.myLabel.setPixmap(QtGui.QPixmap(self.qimg)) My code above returning the following error: TypeError: arguments did not match any overloaded call: QImage(): too many arguments QImage

问题 I love the typing.NamedTuple in Python 3.6. But there's often the case where the namedtuple contains a non-hashable attribute and I want to use it as a dict key or set member. If it makes sense that a namedtuple class uses object identity ( id() for __eq__ and __hash__ ) then adding those methods to the class works fine. However, I now have this pattern in my code in several places and I want to get rid of the boilerplate __eq__ and __hash__ method definitions. I know namedtuple 's are not

问题 I love the typing.NamedTuple in Python 3.6. But there's often the case where the namedtuple contains a non-hashable attribute and I want to use it as a dict key or set member. If it makes sense that a namedtuple class uses object identity ( id() for __eq__ and __hash__ ) then adding those methods to the class works fine. However, I now have this pattern in my code in several places and I want to get rid of the boilerplate __eq__ and __hash__ method definitions. I know namedtuple 's are not

问题 I am trying to make a AI chatbot using python. This requires tensorflow. I installed it using pip and when I try to import it, it isn't working. I got this Traceback: Installation C:\Users\vross>pip3 install tensorflow Requirement already satisfied: tensorflow in c:\users\vross\appdata\local\programs\python\python36\lib\site-packages (2.1.0) Requirement already satisfied: astor>=0.6.0 in c:\users\vross\appdata\local\programs\python\python36\lib\site-packages (from tensorflow) (0.8.1)

问题 I am working on task where I am creating multiple process to run code in parallel to speed up process. below is my code. def update_value(value): print('module name:\n', __name__) print('parent process:\n', os.getppid()) print('process id:\n', os.getpid()) value_read = server_connect_read(channel, value) if value_read.server_connect() is False: return False print("updating values") update = server_read.update_value(old_values.xlsx) if value_read.server_disconnet() is False: return False Pool

问题 I want to code a python calculator, but it goes wrong. Okay, I'll show you my code. from time import sleep print('Calculator v1.0 (Python 3.6.2)') ans = input('Hello! Are you here for calculating?(y/n)') if ans == 'y': print('OK! LOADING...') sleep(3) elif ans == 'n': print('Oh, you're not going ahead... OK.') quit() num1 = input('Input 1st number') method = input('Input symbol(+,-,*,/):') num2 = input('Input 2nd number') ans = num1+method+num2 print('Answer is ', ans) And my output....

问题 I read, test and understand a lot of examples for usage of QWidgets from Qt designer, which are promoted to PyQt5. Nevertheless I am not able to deal with a simple example for my own. Beneath I show my code, which is not working and try to explain. in Qt desginer i create a simple QMainWindow, named standardized as MainWindow Within I create a single label QLabel. This I promote to class "neuLabel" and name it labelqt. The window with, Add , the header neulabel.h and promote --> everything is

问题 I read, test and understand a lot of examples for usage of QWidgets from Qt designer, which are promoted to PyQt5. Nevertheless I am not able to deal with a simple example for my own. Beneath I show my code, which is not working and try to explain. in Qt desginer i create a simple QMainWindow, named standardized as MainWindow Within I create a single label QLabel. This I promote to class "neuLabel" and name it labelqt. The window with, Add , the header neulabel.h and promote --> everything is

问题 Working on understanding how to go about automated unit testing for PySide2-based applications. However, whenever I attempt to initialize a QApplication instance within the tests, be it through PySide2 itself or through pytest-qt 's qtbot fixture, travis-ci aborts the test. It works locally, however. I've attempted using the qtbot and qapp fixtures from pytest-qt , trying different travis-ci distros like xenial and trusty , as well as including the pytest-xvfb plugin as I've seen recommended

问题 Working on understanding how to go about automated unit testing for PySide2-based applications. However, whenever I attempt to initialize a QApplication instance within the tests, be it through PySide2 itself or through pytest-qt 's qtbot fixture, travis-ci aborts the test. It works locally, however. I've attempted using the qtbot and qapp fixtures from pytest-qt , trying different travis-ci distros like xenial and trusty , as well as including the pytest-xvfb plugin as I've seen recommended