To make text alignment in a matplotlib legend, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x data points using numpy.Plot x, sin(x) and cos(x) using plot() method.Place legend using legend() method and initialize a method.Iterate the legend.get_texts() method ... Read More

To plot 3d plot_surface with contour plot projection, we can use plot_surface() and contourf() methods.StepsSet the figure size and adjust the padding between and around the subplots.Create x, y, X, Y and Z data points using numpy.Create a new figure or activate an existing figure using figure() method.Add an '~.axes.Axes' ... Read More

To add ticks to the colorbar, 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 imshow() method to display the data as an image, i.e., on a 2D regular raster.Create ticks using ... Read More

To change the font properties of a matplotlib colorbar label, 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 imshow() method to display the data as an image, i.e., on a 2D ... Read More

To draw a scatter trend line using matplotlib, we can use polyfit() and poly1d() methods to get the trend line points.StepsSet 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.Plot x and y ... Read More

To plot a hexbin histogram 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.Plot x and y using hexbin() method.Set the title of the ... Read More

To plot a 2D histogram 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.Plot x and y using hist2d() method.Set the title of the ... Read More

To make joint bivariate distributions in matplotlib, we can use the scatter method.StepsSet 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.Plot x and y using scatter() method.To display the figure, use show() ... Read More

To align the bar and line in matplotlib two Y-axes chart, we can use twinx() method to create a twin of Axes with a shared X-axis but independent Y-axis.StepsSet the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe with columns 1 and 2.Plot the ... Read More

To draw a border around subplots in matplotlib, we can use a Rectangle patch on the subplots.StepsSet the figure size and adjust the padding between and around the subplots.Add a subplot to the current figure using subplot(121).Get the subplot axes.Add a rectangle defined via an anchor point *xy* and its ... Read More