To plot a 2D matrix in Python with colorbar, we can use numpy to create a 2D array matrix and use that matrix in the imshow() method.StepsCreate data2D using numpy.Use imshow() method to display data as an image, i.e., on a 2D regular raster.Create a colorbar for a ScalarMappable instance ... Read More

To retrieve colorbar instance from figure in matplotlib, we can use imshow scalar mappable object in colorbar to retrieve colorbar instance.StepsGet random data with 10×10 dimension of array, data points between -1 to 1.Use imshow() method to display data as an image, i.e., on a 2D regular raster.Create a colorbar ... Read More

To rotate axis text for each subplot, we can use text with rotation in the argument.StepsCreate a new figure or activate an existing figure.Add an '~.axes.Axes' to the figure as part of a subplot arrangement using add_subplot() method.Adjust the subplot layout parameters using subplots_adjust() method.Add a centered title to the ... Read More

To layer a contourf plot and surface_plot in matplotlib, we can take the following Steps −Initialize the variables, delta, xrange, yrange, x and y using numpy.Create a new figure or activate an existing figure using figure() method.Get the current axis where projection='3d'.Create a 3d countour plot with x and y ... Read More

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() ... Read More

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 ... 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() ... 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, ... 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 ... Read More

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 ... Read More