To fill the area under a curve in a Seaborn distribution plot, we can use distplot() and fill_between() methods.StepsSet the figure size and adjust the padding between and around the subplots.Create a list of data points.Plot a univariate distribution of observations.To fill the area under the curve, use fill_between() method.Set or ... Read More

To adjust tick frequency for X-axis, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable, N, for number of sample data points.Create x and y data points using numpy.Plot x and y data points using plot() method.Initialize a ... Read More

To save scatterplot animations with matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize four variables, steps, nodes, positions and solutions.Append positions and solutions values in the list.Create a figure and a set of subplots.Initialize a variable for marker ... Read More

To plot a line (polygonal chain) with matplotlib with minimal smoothing, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initalize a variable, N, to get the number of data points.Create x and y data points using numpy.Get 1-D monotonic cubic ... Read More

To check if points are inside ellipse faster than contains_point method, we can take the following Steps −Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Set the aspect ratios, equal.Create x and y data points using numpy.Initialize center, height, ... Read More

To change the color of a single X-axis tick label in matplotlib, 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.Axes' to the figure as part of a subplot arrangement.Create ... Read More

To appropriately plot losses values acquired by (loss_curve_) from MLPCIassifier, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a params, a list of dictionaries.Make a list of labels and plot arguments.Create a figure and a set of subplots, with ... Read More

To use Font Awesome symbol as a marker, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a list of symbols; has to be plotted.Create x and y data points using numpy.Create a new figure or activate an existing figure ... Read More

To plot an image with non-linear Y-axis with matplotlib using imshow() method, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Add a subplot to the current figure.Set nonlinear Y-axis ticks.Create random data points using numpy.Display data as an image, i.e., ... Read More

To create a matplotlib colormap that treats one value specially, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Get a colormap instance, name is "rainbow".Set the color for low out-of-range values, using set_under('red') method.Create random data and eps using numpy.Create ... Read More