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To make xticks evenly spaced despite their values, we can use set_ticks() and set_ticklabels() methods.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Create a figure and a set of subplots using subplots() method.Plot x and y data points on axis 1.Set xticks using xaxis.set_ticks() method.Plot x and y data points on axis 2.Set xticks and ticklabels using xaxis.set_ticks() and xaxis.set_ticklabels() method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.array([1, 1.5, ... Read More
To stuff a Pandas dataframe plot into a Matplotlib subplot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots, two axes.Create a Pandas dataframe using DataFrame.Use DataFrame.plot() method to plot.To display the figure, use show() method.Exampleimport pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, (ax1, ax2) = plt.subplots(2) df = pd.DataFrame(dict(name=["Joe", "James", "Jack"], age=[23, 34, 26])) df.set_index("name").plot(ax=ax1) df.set_index("name").plot(ax=ax2) plt.show()OutputRead More
Average Value of Alternating QuantityThe arithmetical average of all the instantaneous values of an alternating quantity over one cycle is known as the "Average Value of Alternating Quantity".$$Average\:value=\frac{Sum\:of\:all\:instantaneous\:values\:over\:one\:cycle}{Number\:of\:instants}$$$$=\frac{Total\:are\:under\:the\:curve\:for\:time\:period\:T}{Time\:Period\:(T)} $$$$=\frac{i_{1}+i_{2}+i_{3}+...+i_{n}}{n}$$Average Value of Symmetrical WavesIn case of symmetrical waves like sinusoidal voltage or current, the average value over one cycle is zero. It is because the positive half cycle is exactly equal to the negative half cycle. But the average value of positive or negative half cycle is not zero. Therefore, in case of symmetrical waves, the average value is calculated for half cycle.$$Avg\:value = \frac{Sum\:of\:all\:instantaneous\:values\:over\:half\:cycle}{Number\:of\:instants\:of\:half\:cycle}$$Average Value of Unsymmetrical WaveIn case of ... Read More
What is Static Testing?Static testing is a software testing methodology used to look for faults in software applications without running the program. Static testing is used to prevent problems at an early stage of development since it is easier to notice and correct faults at this point. It also aids in the detection of faults that Dynamic Testing may miss.Dynamic Testing, on the other hand, examines an application while the code is executed.Static testing methodologies are classified into two groups −Manual examinations − Manual examinations contain manual code analysis, often called REVIEWS.Automated analysis using tools − Automated analysis is essentially ... Read More
What is Interface Testing?Interface testing is a sort of software testing that confirms the proper connectivity between two separate software systems.An interface is a link that connects two components. In the computer world, this interface might be anything from APIs to web services. Interface testing is the process of evaluating these connected services or interfaces.An interface is a software program that contains a collection of instructions, communications, and other properties that allow a device and a user to communicate with one another.How to do Interface Testing?Interface testing consists of two major sections −Interface between a web server and an application ... Read More
To get boxplot data for Matplotlib boxplot we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make data frame using pandas.Make a box plot from DataFrame columns.Get boxplot's outliers, boxes, medians and whiskers data.Prit all the above information.To display the figure, use show() method.Exampleimport seaborn as sns import pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(age=[23, 45, 21, 15, 12])) _, bp = pd.DataFrame.boxplot(df, return_type='both') outliers = [flier.get_ydata() for flier in bp["fliers"]] boxes = [box.get_ydata() for box in ... Read More
Exploratory testing, as the title suggests, is about observing and learning about the program, what it does, what it doesn't do, what works, and what doesn't work. The tester is always deciding what else to check next and where to invest his or her (limited) time. This method is particularly beneficial when there are no or few requirements and speed is of the essence.Exploratory testing could be used with other methodologies.What is Exploratory Testing?Exploratory testing is a practical method in which testers are engaged in as little preparation as possible and as much test execution as possible.The test planning process ... Read More
What is Functional Testing?Functional Testing is a form of software testing in which the software system is validated against the functional requirements/specifications. The goal of functional testing is to test each feature of a software program by giving adequate data and comparing the outcome to the Functional requirements.Functional testing is particularly concerned with black-box testing and is unconcerned with the application's source code. This testing examines the Application Under Test's User Interface, APIs, Database, Security, Client/Server connection, and other features. Testing can be performed automatically or manually.What do you test in Functional Testing?The primary goal of functional testing is to ... Read More
Storage TestingStorage testing is a form of software testing which is used to ensure that the software program under test saves necessary data in the correct folders and has adequate capacity to avoid unanticipated cancellations due to a lack of storage capacity. Storage Performance Testing is another name for it.Why Storage Testing?Slow storage causes slower responsiveness, longer query times, and worse application availability.Poor memory adds to the cost of server infrastructure upkeep.It aids in determining its actual storage limits prior to implementation.It is beneficial to comprehend how the system behaves when a fresh hardware device is installed or updated.Types of ... Read More
What is Destructive Testing?Destructive testing is a kind of software testing used to identify flaws in a software program. It is a testing approach in which an application is purposefully forced to crash in order to verify its resilience and discover the site of breakdown.Unlike the other testing methods that examine an application's functionality, this methodology examines the unexpected user behavior within the program.It is not essential to understand the specified requirements of a software system to do Destructive Testing. But, some understanding might aid in the development of an effective testing method.Why should we do Destructive Testing?It aids in ... Read More