To plot an imshow() image in 3D in Matplotlib, we can take the following steps −Create xx and yy data points using numpy.Get the data (2D) using X, Y and Z.Create a new figure or activate an existing figure using figure() method.Add an 'ax1' to the figure as part of ... Read More

To add extra contour lines using Matplotlib 2D contour plotting, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create e a function f(x, y) to get the z data points from x and y.Create x and y data points using ... Read More

To remove the digits after the decimal point in axis ticks in Matplotlib, 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.Create a figure and a set of subplots.To set the xtick labels ... Read More

To set the unit length of an axis in Matplotlib, we can use xlim or ylim with scale factor of the axes, i.e., of unit length times.stepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot the x and y ... Read More

To hide major tick labels while showing minor ticklabels in Matplotlib, 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 the x and y data points.Set a property on an artist object, using ... Read More

To mark a specific level in a contour map on Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x, y and z data points using Numpy.Use contour() method to make contour plot.Label the contour plot.To display the figure, ... Read More

To label a patch in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize the center of the rectangle patch.Create a new figure or activate an existing figure.Add an 'ax' to the figure as part of a subplot arrangement.Add ... Read More

To sort bars in a bar plot in ascending order, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of data for bar plots.Create a bar plot using bar() method, with sorted data.To display the figure, use show() ... Read More

To add titles to the legend rows in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create y data points using numpy.Make lists of markers and labels.Create a figure and a set of subplots.Plot the lines using plot() method, ... Read More

When we import matplotlib, we are importing all its libraries, whereas importing matplotlib.pyplot only imports pyplot's properties.stepsImport matplotlib.pyplot as pltSet 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 using plot() method.To display the figure, ... Read More