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Pop-up Ads can be pretty annoying while browsing the Internet. Apart from that, cybercriminals can exploit pop-ups by infecting them with malware so that when users click on them, the malware can infiltrate their device easily.It is better to block these annoying and malicious pop-ups instead. Google Chrome is one of the most popular browsers on the internet. Its users are most affected by the pop-up viruses. If you are a Google Chrome browser user, this post will guide you on how to block pop-ups on your browser.Block Pop-Ups on Google Chrome Windows/macOS/LinuxFor Windows, macOS, and Linux users, here is ... Read More
Most people consider a computer virus and a computer worm as equivalent. Although their primary aim is to create havoc by infiltrating a system, the way they attack, spread, and replicate sets them apart.In this post, we would walk through in detail what the computer virus and the computer worm are and how they are different from each other.What is a VirusA virus is one of the most common and oldest computer malware. Like a biological virus spreads from human to human and damages their body, a computer virus spreads from computer to computer and corrupts user files, documents, and ... Read More
In recent times, there has been enhancements in the percentage of people visiting the Dark Web. It is mainly because of its secretive nature. Most people don't know about the dangers and simply surf it without any knowledge. In this article, we will discuss briefly about what Deep Web and Dark Web are in reality. We will discuss how they differ from each other. We will also discuss whether it is illegal to visit the dark web.Levels of the InternetTo understand the dark and the deep web, you should know about the Levels of the Internet because they both are ... Read More
To add a title on Seaborn Implot, we can take the following steps−Set the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe with two columns, X-Axis and Y-AxisUse implot() method.Get the current axis using gca() method.To display the figure, use show() method.Exampleimport pandas import matplotlib.pylab as plt import seaborn as sns import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pandas.DataFrame({"X-Axis": [np.random.randint(10) for i in range(10)], "Y-Axis": [i for i in range(10)]}) bar_plot = sns.lmplot(x='X-Axis', y='Y-Axis', data=df, height=3.5) ax = plt.gca() ax.set_title("Random Data Implot") ... Read More
To plot a transparent Poly3DCollection plot in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplotsCreate a new figure or activate an existing figure.Add an '~.axes.Axes' to the figure as part of a subplot arrangement with projection=3d.Create x, y and z data points.Make a list of vertices.Convert x, y and z data points into a zipped list of tuples.Get a list of instance of Poly3d.Add a 3D collection object to the plot using add_collection3d() method.Turn off the axes.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt ... Read More
To install Matplotlib in virtualenv, we can take the following steps in terminal −vritualenv source env/bin/activatepip install matplotlibpip freeze > requirements.txtcat requirements.txt (To see the Matplotlib details)
To plot two horizontal bar charts sharing the same Y-axis, we can use sharey=ax1 in subplot() method and for horizontal bar, we can use barh() method.StepsCreate lists for data points.Create a new figure or activate an existing figure using figure() methodAdd a subplot to the current figure using subplot() method, at index=1.Plot horizontal bar on axis 1 using barh() method.Add a subplot to the current figure using subplot() method, at index=2. Share the Yaxis of axis 1.Plot the horizontal bar on axis 2.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, ... Read More
To remove a specific line or curve in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Plot line1 and line2 using plot() method.Pop the second line and remove it.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt, image as mimg plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True line_1 = plt.plot([1, 2, 3]) line_2 = plt.plot([2, 4, 6]) line = line_2.pop(0) line.remove() plt.show()Output
To set a colormap of an image, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Read an image from a file into an array.Pick one channel of your data.Display the data as an image, i.e., on a 2D regular raster with "hot" colormapTurn off the axes.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt, image as mimg plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True img = mimg.imread('bird.jpg') lum_img = img[:, :, 0] plt.imshow(lum_img, cmap="hot") plt.axis('off') plt.show()OutputRead More
To plot at full resolution with matplotlib.pyplot, imshow() and savefig(), we can keep the dpi value from 600 to 1200.StepsSet the figure size and adjust the padding between and around the subplots.Set random values in a given shape.Display the data as an image, i.e., on a 2D regular rasterSave the figure with 1200 dpi.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.rand(5, 5) plt.imshow(data, cmap="plasma") plt.savefig("myimage.eps", dpi=1200) plt.show()Output