Posts (page 106)
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3 min readPytest finds files to test by searching for files with names that match the pattern specified in the pytest command. By default, pytest looks for files with names starting with "test_" or ending with "_test". However, this pattern can be customized by using command line options or configuration files. Pytest can also recursively search directories for test files, allowing for a flexible and scalable approach to organizing test code.
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5 min readTo change the direction of a pie diagram in Python matplotlib, you can pass the startangle parameter to the pie function. By specifying a different start angle, you can rotate the pie chart to change its direction. Typically, the startangle is set to 0 degrees, which starts the first slice at the 12 o'clock position. You can experiment with different start angles to achieve the desired direction for your pie chart.
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3 min readTo use a coroutine as a pytest fixture, you can define the coroutine function using the pytest.fixture decorator. This allows you to use the fixture in the same way you would with a regular fixture function. You can then yield the coroutine inside the test function where you want to use the fixture. This ensures that the coroutine is executed and awaited before the test function starts running.
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4 min readTo change the tick length of a 3D plot in matplotlib, you can use the ax.tick_params() method with the axis parameter set to 'x', 'y', or 'z' depending on which axis you want to change. You can then set the desired tick length using the length parameter. For example, to change the tick length of the x-axis in a 3D plot, you can use ax.tick_params(axis='x', length=5) to set the tick length to 5.
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5 min readTo create a stacked bar chart in matplotlib, you can use the bar function multiple times to plot each set of bars on top of the previous one. Make sure to set the bottom parameter to specify the starting position of each set of bars, and set the label parameter to create a legend for the chart. Additionally, you can customize the colors of each set of bars by specifying a color parameter in the bar function.
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6 min readIn pytest, you can raise an exception during a test using the pytest.raises context manager. This allows you to check if a specific exception is raised in your test and handle it accordingly.To raise an exception in a test, you can use the pytest.fail() function provided by pytest. This function can be called with an optional message argument to provide more information about the failure.You can also use the raise statement in your test function to manually raise an exception.
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5 min readTo plot a table using matplotlib in Python, you first need to import the necessary libraries by typing:import matplotlib.pyplot as plt.Then, create a figure and axis object using:fig, ax = plt.subplots()Next, you can use the ax.table() method to create a table with the data you want to display. The table method takes in parameters like cellText, rowLabels, colLabels, etc., to customize the appearance of the table.
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5 min readIn order to add stdin interaction with pytest, you can use the monkeypatch fixture provided by pytest. This fixture allows you to modify or replace values that are read from stdin during the test execution.You can use the monkeypatch.setattr() method to modify the stdin input. For example, if your function reads input from sys.stdin.readline(), you can use monkeypatch.setattr(sys.stdin, 'readline', lambda: 'your_input') to simulate stdin input.
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2 min readIn order to replace the ticks in matplotlib, you can use the set_xticks() and set_yticks() functions to customize the ticks on the x and y axes, respectively. You can pass a list of values to these functions to set the specific ticks you want to display. Additionally, you can use set_xticklabels() and set_yticklabels() to specify the labels for the ticks. This allows you to replace the default ticks with custom values or labels of your choosing.
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8 min readTo set a default per test timeout in pytest, you can use the --timeout command line option. This option allows you to specify a timeout value in seconds that will be applied to all tests in your test suite. By adding --timeout=5 to your pytest command, for example, you can set a default timeout of 5 seconds for each test. This can be useful for ensuring that tests do not run indefinitely and for catching any long-running tests that may indicate an issue in your code.
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3 min readTo plot a histogram in matplotlib in Python, you can use the hist function from the matplotlib.pyplot module. The hist function takes in an array of data as input and bins the data into intervals to create a histogram. You can specify the number of bins, the range of values to include in the histogram, and other parameters to customize the appearance of the histogram. Once you have specified the parameters, you can call the hist function with your data array as input to display the histogram.
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3 min readTo highlight multiple bars in a bar plot using matplotlib, you can use the alpha parameter to adjust the transparency of the bars that you want to highlight. By setting a higher alpha value for the bars you want to highlight, they will appear more prominent compared to the other bars in the plot. Additionally, you can use different colors or patterns for the highlighted bars to make them stand out even more.