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To make a heatmap square in Seaborn facetgrid, we cn use heatmap() method with 10×10 random data set.StepsCreate a random data of size 10×10, with minimum -1 and maximum 10.Plot rectangular data as a color-encoded matrix using heatmap() method with data and color map "twilight_r".To display the figure, use show() method.Exampleimport numpy as np import seaborn as sn import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.randint(low=-1, high=10, size=(10, 10)) hm = sn.heatmap(data=data, cmap="twilight_r") plt.show()Output
To plot points on the surface of a sphere in Python, we can use plot_surface() method.StepsCreate a new figure or activate an existing figure using figure() method.Add a set of subplots using add_subplot() method with 3d projection.Initialize a variable, r.Get the theta value for spherical points and x, y, and z data points using numpy.Plot the surface using plot_surface() method.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(projection='3d') r = 0.05 u, v = np.mgrid[0:2 * np.pi:30j, 0:np.pi:20j] x = np.cos(u) * ... Read More
To create a 3D plot from a 3D numpy array, we can create a 3D array using numpy and extract the x, y, and z points.Create a new figure or activate an existing figure using figure() method.Add an '~.axes.Axes' to the figure as part of a subplot arrangement using add_subplot() method.Create a random data of size=(3, 3, 3).Extract x, y, and z data from the 3D array.Plot 3D scattered points on the created axisTo display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax ... Read More
To animate a contour plot in matplotlib in Python, we can take the following steps−Create a random data of shape 10☓10 dimension.Create a figure and a set of subplots using subplots() method.Makes an animation by repeatedly calling a function *func* using FuncAnimation() class.To update the contour value in a function, we can define a method animate that can be used in FuncAnimation() class.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.randn(800).reshape(10, 10, 8) fig, ax = plt.subplots() def animate(i): ax.clear() ax.contourf(data[:, ... Read More
To position and align a matplotlib figure legend, we can take the following steps−Plot line1 and line2 using plot() method.Place a legend on the figure. Use bbox_to_anchor to set the position and make horizontal alignment of the legend elements.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True line1, = plt.plot([1, 5, 1, 7], linewidth=0.7) line2, = plt.plot([5, 1, 7, 1], linewidth=2.0) plt.legend([line1, line2], ["line1", "line2"], bbox_to_anchor=(0.45, 1.0), ncol=2) plt.show()Output
To convert numbers to a color scale in matplotlib, we can take the following steps.StepsCreate x, y and c data points using numpy.Convert the data points to Pandas dataframe.Create a new figure or activate an existing figure using subplots() method.Get the hot colormap.To linearly normalize the data, we can use Normalize() class.Plot the scatter points with x and y data points and linearly normalized colormap.Set the xticks for x data points.To make the colorbar, create a scalar mappable object.Use colorbar() method to make the colorbar.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt, colors import numpy as ... Read More
What is Non-Functional Testing?Non-functional Testing is a method of software testing that examines a software application's non-functional attributes (productivity, compatibility, functionality, and many more). It is intended to assess a system's preparation based on nonfunctional conditions that never get covered by functional tests.A good example of a non-functional test is seeing how many users would sign into a program at the same time.Non-functional testing is almost as critical as functional testing, and it has an effect on customer satisfaction.We will discover the following in this tutorial−Non-functional testing objectivesNon-functional testing CharacteristicsTesting for non-functionality variablesSoftware Testing TypesTypes of Non-functional TestingTest Case Examples ... Read More
Performance testing is conducted to know how an application responds under extreme load. Such tests are performed using metrics like speed, scalability and stability. Choosing the right performance or load testing tool can offer a wide range of beneficial features. Besides, it also eliminates massive cost and time consumption associated with the manual testing process.Types of performance testsAn application or software goes through several tests to determine its performance. Not all tools support all types of performance testing. Therefore, you may have to determine what type of testing you require and choose the tools as needed.Load testingLoad tests help testers ... Read More
Software Testing metrics are quantitative steps taken to evaluate the software testing process's quality, performance, and progress. This helps us to accumulate reliable data about the software testing process and enhance its efficiency. This will allow developers to make proactive and precise decisions for upcoming testing procedures.What is a metric in software testing metrics?A Metric is a degree to which a system or its components retains a given attribute. Testers don't define a metric just for the sake of documentation. It serves greater purposes in software testing. For example, developers can apply a metric to assume the time it takes ... Read More
Before learning about Test Strategy Document, you must understand Test Plan. A test plan is a document containing the scope, methods, and objectives of software testing. Since many companies deal with multiple projects, the project team needs to prepare a goal-centric test plan considering the specific requirements of each project.Regardless of the nature of the project (support or development), proper planning remains the significant stepping stone for any testing process. Apart from a brief introduction to the project, the test plan also contains methods and types of testing that testers should execute during the testing.The Test strategy is a document ... Read More