To slice an image into Red, Green and Blue channels with misc.imread, 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.Make lists of colormaps and titles.Create a figure and a set of ... Read More

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 ... Read More

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 ... Read More

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 ... 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 ... 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 ... Read 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 ... 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 ... Read 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 ... 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 ... Read More