To pixelate a square image to 256 big pixels with Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Open and identify the given image file.Resize the image samples.Make resultant images and resize them.Save the resultant figure.Examplefrom PIL import Image from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True img = Image.open("bird.png") imgSmall = img.resize((16, 16), resample=Image.BILINEAR) result = imgSmall.resize(img.size, Image.NEAREST) result.save('result.png')Input ImageOutput Image

To maximize plt.show() using Python on Mac, we can use full_screen_toggle().StepsSet the figure size and adjust the padding between and around the subplots.Add a subplot to the current figure.Make a piechart with input list.Get the Figure Manager of the current figure.Use full_screen_toggle() to create a full-screen pop-up window.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True plt.subplot(1, 1, 1) plt.pie([1, 2, 3]) mng = plt.get_current_fig_manager() mng.full_screen_toggle() plt.show()Output

To animate a Seaborn heatmap or correlation matrix, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Make a dimension tuple.Make a Seaborn heatmap.Create an init() method for the first heatmap.Use FuncAnimation() class to make an animation by repeatedly calling a function animate that will create a random dataset and create a heatmap.To display the figure, use show() method.Exampleimport numpy as np import seaborn as sns import matplotlib.pyplot as plt from matplotlib import animation plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True ... Read More

To turn off transparency in Matplotlib's 3D scatter plot, we can use depthshade to shade the scatter markers to give the appearance of depth.StepsSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Add an ax to the figure as part of a subplot arrangement.Create random data points x, y and z using numpy.Use scatter method to plot x, y and z data points on 3D axes with depthshade=False.To display the figure, use show() methpod.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] ... Read More

To plot the outline of the outer edges on a Matplotlib in Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot x and y data points with linewidth set to 10 and 5, to get the visible outline edges.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.linspace(-10, 10, 100) y = np.sin(x) plt.plot(x, y, lw=10, color='red') plt.plot(x, y, lw=5, color='yellow') plt.show()OutputRead More

To merge two existing matplotlib plots into one plot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x, y1 and y2 data points using numpy.Plot (x, y1) and (x, y2) points using plot() method.Get the xy data points of the current axes.Use argsort() to return the indices that would sort an array.Append x and y data points of each plot.Plot X and Y data points at the 2nd index subplot.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] ... Read More

Let's take an example to see how imshow() handles the alpha channel with an M×N×4 input.StepsSet the figure size and adjust the padding between and around the subplots.Return a new array of given shape and type, filled with 1's.Handle the alpha channel.Display the data as an image, i.e., on a 2D regular raster.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True d = np.ones((100, 100, 4), dtype=np.uint8)*255 d[:, :, 1] = np.linspace(0, 255, num=100) plt.imshow(d) plt.show()OutputRead More

To set a Matplotlib rectangle edge to outside of specified width, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Add an ax to the figure as part of a subplot arrangement.Initialize a variable line_width to set the rectangle outside of specified width. Use the variables xy, w and h for rectangle's center, width and height.Get a rectangle instance, with xy anchor points and its height and width.Get the offset transformbox instance.Add an artist patch, r (Step 5).Get the container for an OffsetBox ... Read More

To add a cursor to a curve in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create t and s data points using numpy.Create a figure and a set of subplots.Get the cursor class instance, to update the cursor points on the plot.In mouse_event, get the x and y data of the current position of the mouse.Get the x and y data points' indices.Set the x and y positions.Set the text position and redraw agg buffer and mouse event.Plot t and s data points using plot() method.Set some axis ... Read More

To create animated GIF files out of D3.js animation, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Add an axes to the current figure and make it the current axes.Plot a line with empty lists.To initialize the line, pass empty lists.To animate the sine curve, update the sine curve values and return the line instance.Get a movie writer instance using PillowWriter() class.Save the .gif file using PillowWriter.Exampleimport numpy as np from matplotlib import pyplot as plt from matplotlib import animation plt.rcParams["figure.figsize"] ... Read More