Posts (page 107)
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6 min readTo apply multiple tags to a test case in Pytest, you can use the pytest.mark decorator along with the pytest.mark.parametrize decorator. You can define multiple tags for a test case by using the pytest.mark.parametrize decorator and passing a list of tags as a parameter. This will allow you to categorize and filter your tests based on the tags you have defined. This can be helpful when organizing and running tests in a more structured and efficient manner.
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5 min readYou can add a search box in matplotlib by using the toolkits library. First, you need to import the necessary modules such as Toolbar, NavigationToolbar2Tk, and NavigationToolbar2QT. Then, you can create a custom toolbar that includes a search box widget. This search box can be used to filter out specific data points or features on the plot, making it easier for users to navigate through the visualization.
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4 min readTo pass parameters into setup_method for pytest, you can use the request fixture provided by pytest. This fixture allows you to access the test function or class instance being requested and pass parameters into it. By using the request fixture along with the setup_method method, you can easily pass parameters into the setup method for your test functions or classes. Simply define the parameters as arguments in the setup_method method and use the request.
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4 min readTo fill between multiple lines in matplotlib, you can use the fill_between function provided by the library. This function allows you to specify the x values and the y values for the region that you want to fill between two or more lines.You can pass the x values as a list or array, and the y values for each line as separate lists or arrays. By providing the y values for multiple lines, you can fill the area between them.
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4 min readTo intercept a function call and change parameters with pytest, you can use the monkeypatch fixture provided by pytest. This fixture allows you to modify the behavior of functions during testing by replacing or intercepting function calls.You can use the monkeypatch fixture to intercept a function call and change its parameters by using the monkeypatch.setattr() method.
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4 min readTo display a colormap using matplotlib, you can use the imshow() function to show the color values on a matrix. First, you need to import the necessary libraries such as matplotlib and numpy. Then create a matrix of values representing the color intensity. Finally, use the imshow() function to display the colormap on the matrix. You can customize the colormap, colorbar, and other properties to enhance the visualization of your data.
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3 min readTo update the y-axis in Matplotlib, you can adjust the range, scale, ticks, labels, and other properties of the y-axis using various methods and functions provided by the Matplotlib library. You can set the limits of the y-axis using xlim() method, set the scale of the y-axis using set_yscale() method, customize the ticks and labels of the y-axis using set_yticks() and set_yticklabels() methods, and more.
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4 min readYou can test if a method is called using pytest by using the MagicMock object from the unittest.mock module. You can use the assert_called and assert_called_once methods on the MagicMock object to check if the method was called. You can also use the call_count attribute to check how many times the method was called. This allows you to write tests that verify if a specific method is called during the execution of your code.
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6 min readTo show Chinese characters in matplotlib graphs, you need to first ensure that your system has the necessary Chinese fonts installed. You can download and install Chinese fonts such as SimSun or Microsoft YaHei for Windows, or WenQuanYi Micro Hei for Linux.Once you have the appropriate fonts installed, you can use the following code snippet to set the default font for matplotlib to display Chinese characters: import matplotlib.pyplot as plt plt.rcParams['font.
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5 min readIn pytest, you can ignore certain tests when a session fixture fails by using the skipif decorator with a condition that checks if the session fixture has failed. You can define this condition using the pytest module's config object to access the session fixture's state. By using this approach, you can skip specific tests when a session fixture fails, allowing other tests to run without interruption.
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4 min readTo resize the legend label in a Matplotlib graph, you can use the fontsize parameter when calling the legend function. This parameter allows you to specify the font size of the legend label. For example, you can set the font size to 10 by including fontsize=10 in the legend function call. This will resize the legend label to the specified font size. Adjust the font size parameter as needed to fit the design and formatting of your graph.
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4 min readTo run pytest tests in parallel, you can use pytest-xdist plugin which allows you to run tests in parallel on multiple CPUs. First, install the plugin using pip: pip install pytest-xdist Then, you can specify the number of CPUs to use by passing the -n option followed by the number of CPUs. For example, to run tests on 4 CPUs: pytest -n 4 This will divide your tests among the available CPUs and run them in parallel, speeding up the execution time.